<p><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1603718763/banner_style_1_cruuf7.png" /></a><br></p>
<h2 id="defining-big-data">Defining big data</h2>
<p>Big data is one of the buzziest words in the data space. But just how big is big? One way to think about it is in terms of volume, or the amount of data you have. Based on volume, we can define big data as data that is far more than you can store on a modern laptop or hard drive. Thus, it needs to be distributed across clusters of computers to work with, transmit, and analyze. We can extend this definition of big data to cover <strong>the three Vs</strong>: volume, velocity, and variety.</p>
<ul>
<li><strong>Volume</strong>: The amount of data</li>
<li><strong>Velocity</strong>: How quickly you can move and analyze data</li>
<li><strong>Variety</strong>: The different types of data you have</li>
</ul>

<h2 id="is-big-data-the-end-of-theory-">Is big data the end of theory?</h2>
<p>In 2008, Chris Anderson wrote a provocative article in Wired called <a href="https://www.wired.com/2008/06/pb-theory/">The End of Theory, The Data Deluge Makes the Scientific Method Obsolete</a>. The premise was that we had enough data to make satisfactory predictions about the world that we didn’t need theory to understand the world. Part of the impetus for such arguments was what we were seeing happen with Google—they were able to operate on huge amounts of data and then provide predictive models in the forms of data products for programmatic ad buying. Moreover, they were able to do so with sufficiently advanced predictive analytics without needing to understand or theorize about the system under study.</p>
<p>This was all about using captured human behavior in order to build better products and services. Google enabled those who wanted to buy an ad to easily purchase one on Google AdWords, and the model behind AdWords didn&#39;t rely on any theory behind whether someone would click or not. Google had just enough data to make a “good enough” prediction. Chris Anderson’s provocative hypothesis is that big data contains so much information that we don’t need to model the world anymore, and we don&#39;t need to understand the theory behind it or what&#39;s actually happening.</p>
<p>Has big data actually fulfilled its promises to us? One way to think about this is modeling it on the Gartner Hype Cycle.</p>
<p><center><a href="https://en.wikipedia.org/wiki/Hype_cycle#/media/File:Gartner_Hype_Cycle.svg"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1597669691/HypeCycle_agmhjx.png"/></a></center><br></p>
<p>The Gartner Hype Cycle tells us about a technological innovation and the expectations around it as a function of time. We begin with an Innovation Trigger, which in the case of big data was the ability to store, transmit, and analyze large amounts of data. Then people get buzzed about it, leading to Inflated Expectations. After that, we don&#39;t see the value delivered against expectations, so we enter the Trough of Disillusionment. Only after this do we see the actual real value start to be delivered across several different verticals—and we enter the Slope of Enlightenment.</p>
<p>Where is big data currently in the Gartner Hype Cycle? One way to think about expectations is to see what people have searched for on Google as a function of time. Below are the Google trends for “big data” since 2004. You can see that Chris Anderson was ahead of his time—but he was wrong about big data being the end of theory due to the importance of small data and thick data.</p>
<p><center><a href="https://www.datacamp.com/resources/ebooks/definitive-guide-to-machine-learning-for-business-leaders"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1597669871/bigdata_gtjmx3.png"/></a></center><br></p>
<p>If we accept the Gartner Hype Cycle as a valid model for thinking about big data, and if we accept Google trends as a proxy for expectations, we can see that the Peak of Inflated Expectations was around 2014 and we haven&#39;t necessarily reached the Trough of Disillusionment yet.</p>
<h2 id="small-data-is-also-powerful">Small data is also powerful</h2>
<p>While a lot of the recent innovations in data science have centered on our ability to efficiently handle increasingly large volumes of data, it’s important to recognize that a vast majority of the data analyzed in the real world does fit in the memory on a modern laptop. As a business leader, you should carefully consider the needs of your data organization before deciding which tools and architectures to adopt.</p>
<p>I want to take you back in time to Johannes Kepler, who discovered three laws of planetary motion, and Tycho Brahe, a Danish astronomer who collected the data that Kepler eventually analyzed to build his three laws of motion, which then informed Newton&#39;s theory of gravitation. We have a huge amount of scientific knowledge developed from the data that Brahe collected, which consisted of around just 2,000 data points. This is a tiny dataset compared to datasets we talk about today, which sometimes contain hundreds of millions of data points. But the data Brahe collected was of high quality. If you have good, properly collected data, strong analytical and principled theoretical models, and a way of doing statistical modeling, you can get a huge amount out of your data.</p>
<p><center><a href="https://www.datacamp.com/resources/ebooks/definitive-guide-to-machine-learning-for-business-leaders"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1597669860/brahe_iqlo2b.png"/></a></center><br></p>
<p>Let’s look at another example explored in Andrew Gelman’s article, <a href="https://www.scientificamerican.com/article/howcan-a-poll-of-only-100/">How can a poll of only 1,004 Americans represent 260 million people with only a 3 percent margin of error?</a> Gelman takes you through the math to show that when you increase the amount of data, you get seriously diminishing returns on the reduction of the margin of error. Disclaimer: This result is true only if you have some sort of representative sampling of your population, which definitely isn&#39;t the case in polls. But statisticians now have sophisticated correction methods for non-representative samples, which they can use to learn about the voting preferences of a larger population.</p>
<p>Again, we see a significant result from a small amount of data, and it tells us about the nature of human behavior and human preferences. The same principle is true of business—it&#39;s about understanding and being able to predict future human behavior, especially in terms of your stakeholders. So why do we talk about big data so much when it’s not necessary? A primary reason is that it&#39;s readily accessible and so computable these days.</p>
<p>The bottom line is Harvard Business Review’s point in <a href="https://hbr.org/2017/07/sometimes-small-data-is-enough-to-create-smart-products">Sometimes “Small Data” Is Enough to Create Smart Products</a> that “it&#39;s not about mountains of data, it&#39;s about small, high precision data.”</p>
<h2 id="don-t-underestimate-the-power-of-thick-data">Don’t underestimate the power of thick data</h2>
<p>Now that we’ve discussed the power of small data, I want to move onto another type of data called thick data, or qualitative data. Thin data involves numbers and tables, whereas thick data, a term from sociology and anthropology, is more qualitative and descriptive. A consulting group called ReD Associates has done fantastic work using thick data to help people build analytic models and machine learning models.</p>
<p>One example that I want to mention is their work in <a href="https://www.redassociates.com/press-1/2017/10/18/forbes-big-data-insights-or-illusions">detecting credit card fraud</a>. This is a huge challenge and machine learning has been used to detect credit card fraud in the past, using features such as the amount of transaction, the time of transaction, location, and so on. ReD Associates attempted to collect thick data to solve this problem taking a sociological approach.</p>
<p>To do so, ReD Associates sat down with credit card fraudsters to find out what they actually do and what their processes are like. They found a community of credit card fraudsters on the dark web and met them in real life to learn about their processes and habits.</p>
<p>They discovered that the point at which credit card fraudsters have the highest likelihood of getting caught is when they actually have to do something in the real world—like picking up deliveries. They’re tech savvy enough to rarely be detectable online. And fraudsters are also careful in the physical realm—they typically don’t send parcels to their own address, their work address, or their friends’ addresses. Instead, they send deliveries to addresses of properties that are abandoned or on the real estate market.</p>
<p>Equipped with this knowledge, ReD Associates built a credit card fraud detection model using the location that the parcel was being sent to as a feature, and joined that with publicly available data around abandoned houses and houses on the market. They observed that this model based on qualitative data obtained a significant lift in accuracy when compared with more traditional models for fraudulent transactions. This is a wonderful example of the importance of thick data and how taking a sociological approach can provide increased value. I recommend these two articles to explore how good quality data is more important than big data in further detail: <a href="https://www.redassociates.com/press-1/2017/10/18/forbes-big-data-insights-or-illusions">The Power of &#39;Thick&#39; Data</a> and <a href="https://store.hbr.org/product/big-data-is-only-half-the-data-marketers-need/H02GX9">Big Data Is Only Half the Data Marketers Need</a>.</p>
<h2 id="call-to-action">Call to action</h2>
<p>Choose a data source that&#39;s valuable to your business and think about how much of this data you really need to inform decision making. One way you can gauge this is by considering the added value of increasing the amount 2X, 5X, and 10X, particularly with respect to the investment of collecting, storing, and analyzing it. Then, answer this question: What thick data could you use to enhance the quality of this data source?</p>
<p>Find out more about best practices to leverage data in <a href="https://www.datacamp.com/resources/ebooks/definitive-guide-to-machine-learning-for-business-leaders">The Definitive Guide to Machine Learning for Business Leaders</a>.</p>
<p><center><a href="https://www.datacamp.com/business/demo"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1603718763/banner_style_2_m573ef.png" /></a></p>


https://www.datacamp.com/community/blog/small-and-thick-data

Everyone wants to have a handle on big data. But small data and qualitative data are just as important.

Why Data Doesn’t Have to Be That Big

<center><a href="https://www.datacamp.com/webinars/scaling-data-science-at-your-organization"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1596491585/banner_scaling-data_prhbgj.png" /></a></center><br>
<p>Many organizations today are adopting data science practices as part of their digital transformation initiatives. However, most of them won't reap the rewards of mining their data <a href="https://www.datacamp.com/community/blog/digital-transformation">without a data strategy</a> and a clear-cut blueprint for scaling data science within their organization. <a href="https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/ten-red-flags-signaling-your-analytics-program-will-fail">McKinsey</a> found that <strong>only eight out of 1,000 companies</strong> undergoing digital transformation initiatives were able to scale data science beyond a few pilot projects.</p>
<p>Furthermore, while most organizations understand the value of being data-driven, many organizations treat data science as a siloed centralized support function that works on requests from different teams. This is inherently at odds with what data science should be, which is a means to an end to achieve business goals. As <a href="https://www.anaconda.com/blog/data-science-what-enterprises-get-wrong">Anaconda's CEO Peter Wang</a> puts it, data science is "a mode of inquiry and exploration" to navigate the business world.</p>
<blockquote>Just as a physicist uses math to reason about the natural world, data scientists harness mathematical and computational tools to reason about the business world. —Peter Wang, Anaconda CEO</blockquote>
<p>This siloing effect is exacerbated by the false premise that the end goal of data science should always be artificial intelligence models that automate or streamline major verticals of production within an organization. Companies looking for immediate returns on investment are disappointed to find out that this is often not the case.</p>
<p>This narrow view of data science attributes its value to relatively difficult-to-achieve predictive analytics (<em>i.e., the ability to predict the future with data</em>) . It also ignores the infrastructure work needed to perform machine learning at scale. However, much of the value of data science comes from implementing relatively simpler descriptive analytics (<em>the ability to describe data and put it in the right hands</em>) and prescriptive analytics (<em>making data-driven decisions</em>).<br><br></p>
<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1597169516/group-7_3x_cmmt1n.png" /></a></center><br>
<p>Completing a successful digital transformation requires <a href="https://www.datacamp.com/community/blog/digital-transformation">building organizational competencies in data science and analytics</a>. This requires building and executing a smart, inclusive, and scalable data strategy.</p>
<p>This is where our IPTOP framework comes in. IPTOP is a framework that establishes five pillars (<strong><em>I</em></strong> nfrastructure, <strong><em>P</em></strong> eople, <strong><em>T</em></strong> ools, <strong><em>O</em></strong> rganization, and <strong><em>P</em></strong> rocesses) to <strong><em>scalably</em></strong> execute your data strategy to complete a successful digital transformation. <a href="https://www.datacamp.com/webinars/scaling-data-science-at-your-organization">Join our upcoming webinar series</a> to find out more.</p>
<h2>Infrastructure</h2>
<p>The goal of any data strategy is to transform raw data into insights and decisions. This requires organizations to collect, record, and store their data safely and efficiently to be accessible by all. But data is often collected in different forms, shapes, and sizes. The various databases, data lakes, data warehouses, scripts, and dashboards that aid in this journey constitute data infrastructure. Building a robust data infrastructure requires understanding best practices.</p>
<h2>People</h2>
<p>Considering data science as a means to the end goal of better decisions allows organizations to build their teams based on the skills they need. A <a href="https://www.datacamp.com/community/blog/persona-driven-learning">role-based approach</a> requires identifying, assessing, and mapping performance goals with the skills needed to achieve business objectives, such as predicting churn or visualizing data with dashboards. This results in dedicated learning paths for each role.</p>
<p>A good example is <a href="https://medium.com/airbnb-engineering/how-airbnb-democratizes-data-science-with-data-university-3eccc71e073a">Airbnb's Data University</a>, which is their proprietary training program built to equip every employee with the skills needed to make data-driven decisions. Enabling employees who aren't data scientists by trade to become Citizen Data Scientists capable of making informed decisions has freed up the data science team's time to work on more strategic projects.<br></p>
<h2>Tools</h2>
<p>While infrastructure enables organizations to deliver insights from data, tools facilitate and incentivize the adoption of a common data language across the organization. Using tools for data access, analysis, visualizations, and dashboards allows organizations to become more efficient, driving down the time to achieve insights. These tools can range from open source programming languages like Python, R, and SQL to point-and-click-based tools like Power BI, Tableau, and Excel.</p>
<p>Building organization-specific frameworks that streamline access to data on top of these tools substantially reduces the barrier to entry to scaling data science. At DataCamp, we have proprietary Python and R packages that abstract away connecting to data lakes, querying data, and aggregating it using simple commands. Anyone can answer questions like <em>"What was the rating of course X over the past Y weeks?"</em> with one or two lines of code. Similarly, <a href="https://medium.com/airbnb-engineering/using-r-packages-and-education-to-scale-data-science-at-airbnb-906faa58e12d">Airbnb</a> has an R package that facilitates querying and visualizing data according to their desired aesthetics, which eliminates the guesswork to ensuring consistent data analysis and visualizations across the organization.</p>
<br><br><center><a href="https://www.datacamp.com/webinars/scaling-data-science-at-your-organization"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1597169614/tools_vjdoif.png" /></a></center>
<h2 id="organization">Organization</h2>
<p>An important dimension of a data strategy is <a href="https://www.datacamp.com/resources/whitepapers/democratizing-data-science-in-your-organization">how data professionals are organized</a>. Given that reporting structures and agendas drive work in most firms, organizational structure must set up your company for sustainable success. There are trade-offs between a centralized model where data scientists are part of one data science team and a decentralized model where data scientists are embedded in different departments.</p>
<p>In the centralized model, a central data science team prioritizes and works on information requests from other departments. In this model, questions come in and answers are expected to come out. This allows the data science team to become a center of excellence, where data scientists collaborate and share knowledge under one strategic direction. However, this siloes data science teams and their tools, which makes coordination and communication with other departments complicated for data scientists.</p>
<p>In the decentralized model, data scientists are embedded in different departments within the organization. This gives data science a seat at the table to influence their department's strategic direction, as data scientists acquire the domain knowledge needed to succeed. However, since they're dispersed and managed by business team managers, a drawback is that it comes at the expense of data scientists' growth, learning and development, and ability to collaborate.</p>
<p>These two models should be looked at as two opposing ends of a spectrum. There are many hybrid models that combine elements of the centralized and decentralized models, with different ways to group and bundle departments to maximize the value of data science at scale.</p>
<p><br><center><a href="https://www.datacamp.com/webinars/scaling-data-science-at-your-organization"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1597169698/centralized_decentralized_h7tlan.png" /></a></center></p>
<h2 id="processes">Processes</h2>
<p>Finally, building a scalable data strategy requires alignment on conventions, best practices, and processes. Fostering alignment is essential to facilitating collaboration and avoiding a siloed organization. This allows all teams to seamlessly work together and communicate under a common data language.</p>
<p>An easy way to start building alignment on processes is to create a predefined project structure and template, where different tasks and subtasks for an analytics project are mapped out with their requirements ahead of time. Microsoft has adopted <a href="https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/overview">The Team Data Science Process</a>, which allows any stakeholder to clearly understand the project requirements, utilize templates for data analysis and computing power access, and identify who owns different stages of the process.</p>
<p>Depending on your organization and industry, predefined project templates may be subject to specific regulatory requirements and may require complex processes. You can utilize <a href="https://drivendata.github.io/cookiecutter-data-science/">open source tools</a> to set project structure templates for increased alignment between teams and data professionals.  </p>
<p>This only scratches the surface of our IPTOP framework for scaling data science within an organization. If you want to learn more, <a href="https://www.datacamp.com/webinars/scaling-data-science-at-your-organization">join our three-part webinar series</a> on August 20, August 27, and September 3.<br><br></p>
<center><a href="https://www.datacamp.com/webinars/scaling-data-science-at-your-organization"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1596491585/banner_scaling-data_prhbgj.png" /></a></center>

https://www.datacamp.com/community/blog/iptop

Scaling a data strategy successfully is no small feat. Follow our methodology to lay a strong data foundation and scale an enterprise data program.

Building a Scalable Data Strategy with IPTOP: Infrastructure, People, Tools, Organization, and Processes

<p><center><a href="https://www.datacamp.com/resources/ebooks/definitive-guide-to-machine-learning-for-business-leaders"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1596641948/shutterstock_744456907_qurorq.jpg" /></a></center></p>
<p><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1603718763/banner_style_1_cruuf7.png" /></a><br></p>
<p>Machine learning, deep learning, and artificial intelligence are buzzwords for good reason—these technologies are fundamentally shifting the nature of business, society, and our lives. More importantly, across many verticals, they’re shifting from being disruptive technologies to being foundational and table stakes for businesses to remain competitive.</p>
<h1 id="the-three-realms-of-data-science">The three realms of data science</h1>
<p>One way to slice the data science space is into descriptive analytics, predictive analytics, and prescriptive analytics. Machine learning—also known as predictive analytics—is the realm of predicting the future, such as whether a customer will churn or not, and more general classification tasks: Is an email spam or not? Is a tumor in a diagnostic image benign or malignant? Data scientists might also be interested in why a model makes a prediction, not just the prediction itself.  </p>
<p><center><a href="https://www.datacamp.com/resources/ebooks/definitive-guide-to-machine-learning-for-business-leaders"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1603720959/Screen_Shot_2020-10-26_at_10.02.21_AM_gwugxe.png" /></a></center><br></p>
<p>Let’s take a closer look at practical applications of what this means for business leaders. Corporate training initiatives for all vertical markets must ensure a strong baseline of skills across teams and roles.</p>
<h2 id="the-power-of-machine-learning-across-verticals">The power of machine learning across verticals</h2>
<p>Now, let’s look at several examples of machine learning’s impact across various verticals.</p>
<h3 id="tech">Tech</h3>
<p>Machine learning powers recommendation systems, content discovery, search engines, email spam filters, and matching problems.</p>
<h3 id="healthcare">Healthcare</h3>
<p>Machine learning facilitates drug discovery and diagnostic imaging diagnosis.</p>
<h3 id="finance">Finance</h3>
<p>Machine learning is now foundational for fraud detection, process automation, algorithmic trading, and robo-advisory.
Retail
Machine learning is reinventing supply chain management by optimizing supply and demand planning, improving shipping processes and reducing transportation expenses, and improving strategic sourcing.</p>
<h3 id="other-industries">Other industries</h3>
<p>Burgeoning industries are growing rapidly with machine learning. LegalTech is imagining a future in which machine learning is leveraged to predict outcomes of court cases based on natural language analysis of precedents. AgTech (agriculture technology) is deploying drones at scale to capture footage, and machine learning is being used to estimate crop yields.</p>
<h2 id="the-power-of-machine-learning-across-teams">The power of machine learning across teams</h2>
<p>There are also many gains in the development of ML algorithms that are vertical-independent, supporting different business functions.</p>
<h3 id="hr">HR</h3>
<p>Machine learning helps filter applicants in the hiring flow—but hiring models must be carefully monitored so as not to <a href="https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G">perpetuate social biases at scale</a>.</p>
<h3 id="support">Support</h3>
<p>Machine learning is used for call center routing and chatbots.</p>
<h3 id="marketing">Marketing</h3>
<p>Machine learning algorithms are used for paid advertising, customer churn prediction, and targeted nurture campaigns.</p>
<p>In fact, any company that has an app can benefit from leveraging machine learning to determine the most effective push notifications, and any organization that has a website can leverage machine learning to personalize their customer experience by surfacing content and features that are most relevant.</p>
<p>Find out more about machine learning best practices in <a href="https://www.datacamp.com/resources/ebooks/definitive-guide-to-machine-learning-for-business-leaders">The Definitive Guide to Machine Learning for Business Leaders</a>.</p>
<p><center><a href="https://www.datacamp.com/business/demo"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1603718763/banner_style_2_m573ef.png" /></a></p>

https://www.datacamp.com/community/blog/machine-learning-across-verticals-and-teams

Machine learning is now foundational for businesses to remain competitive. Find out how industries like tech, healthcare, and finance are using ML algorithms to improve operations.

 The Impact of Machine Learning Across Verticals and Teams

<p><center><a href="https://mydatau.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595533957/DataU_qazxs3.jpg" /></a></center><br></p>
<h2 id="tell-us-about-datau-academy-and-your-partnership-with-datacamp-">Tell us about DataU Academy and your partnership with DataCamp.</h2>
<p>Founded in 2019, <a href="https://mydatau.org/">DataU Academy</a> is Cambodia’s first skills training academy dedicated to data science, IT in data, and digital marketing. What makes our program unique is that over 30% of our curriculum is dedicated to soft skills training to ensure that our trainees are fully equipped for the workforce. We’re based in Phnom Penh and we work with leading organizations across Cambodia in telecommunications, banking, fintech, consumer goods, manufacturing, and many more to unlock the power of their data by recruiting, training, and deploying highly skilled graduates.
DataCamp plays a key role in delivering hard data science skills and online content with on-demand learning.</p>
<p>DataCamp’s courses combine video with hands-on-coding practice to optimize student learning and retention of information. Because of the platform’s flexibility and digital resiliency, our students were able to adapt well and increase productivity even during Covid-19 lockdown. We’re able to easily track student progress and performance, and they prefer DataCamp’s learn-by-doing approach to video lectures.</p>
<p>As a result, within four to six months, our graduates are able to go from zero to little background in data to become professionals with in-demand skills. With DataCamp, Cambodian youth have the opportunity to develop world-class data skills, build a dream career, improve their standard of living, and engage in the global data revolution.</p>
<blockquote>
<p>We enjoy being able to learn from a global instructor community, which is a good match for our vision. —Sokhna Vor</p>
</blockquote>
<h2 id="what-are-the-biggest-challenges-and-needs-that-you-hope-to-address-">What are the biggest challenges and needs that you hope to address?</h2>
<p>The Cambodian genocide in the late 1970s left a scar on our country. Today, our youth is striving to overcome our tragic history by actively learning in-demand skills and working vigorously to transform and grow our country. They are hard-working, hungry to learn, and resilient. Cambodian youths comprise two-thirds of our current population and the future of our nation depends on them.</p>
<p>With Cambodia’s largely untapped potential and relatively affordable cost of training compared with the Western world, we predict a shift in focus from low-skilled labor to innovative, high-income, and skill-based occupations. Since Cambodia has a predominantly manufacturing-led economy, automation and industrial process development will undoubtedly render many roles obsolete. The vast amount of data being generated by these changes will create huge opportunities and many new roles, for which data science and analytics skills will be critical.</p>
<p>It is with this foresight that we set up DataU—we’re committed to the growth of our nation. For over a year, we’ve worked tirelessly with both the public and private sectors to prepare for Industry 4.0 to establish Cambodia as a regional center of excellence for data science. In 10 years, we want Cambodia to be associated not only with Angkor Wat, but also with data science around the world. Cambodia can become a factory for digital and data skills, supplying the world with talent.</p>
<p>To achieve this vision, we’re building a world-class training program to help Cambodian youth combine technical and soft skills. Traditional in-person teaching overemphasizes lectures, adds operational overhead, and is not scalable enough for us at the speed with which we want to move.</p>
<h2 id="what-do-you-like-about-datacamp-">What do you like about DataCamp?</h2>
<p>DataU’s instruction combines in-person learning with online learning on DataCamp. Traditional in-person instruction provides limited course content and varies in standard across teachers. Moreover, it can be slow compared with fast-changing industry needs—we wanted our solution to be broader and more scalable. We found that MOOCs have great theoretical course content, but were taught in silos and our needs required a more holistic program, like DataCamp’s <a href="http://datacamp.com/signal">assessments</a> and <a href="http://datacamp.com/practice">practice</a> exercises.</p>
<p>We evaluated many learning platforms that were text-based and video-based, some with and some without in-platform coding, and some without practical exercises and projects. Our aim was to deliver content that maximizes students’ knowledge retention with a balanced mix of conceptual and practical mechanics. At the same time, we wanted something flexible and robust enough to combine instructor-led teaching and facilitation both online and offline.</p>
<p>In-platform coding exercises and practices along projects and skill assessment are also needed for our heavily vocational, industry-focused, and marketable skills training program. At DataU, we work closely with industry partners and clients to ensure that our graduates will have the skills and mindset to excel immediately in the workplace.</p>
<p>So far, we find DataCamp to be a productive, intuitive, and practical learning platform that offers a flexible and interactive learning experience. DataCamp has a large number of internationally trained instructors that provide high quality content. We enjoy being able to learn from a global instructor community, which is a good match for our vision. DataCamp supports our comprehensive training program and helps us produce fully fledged data scientists that have varied skill sets.</p>
<blockquote>
<p>DataCamp supports our comprehensive training program and helps us produce fully fledged data scientists that have varied skill sets. —Sokhna Vor</p>
</blockquote>
<h2 id="what-results-have-you-seen-since-implementing-datacamp-">What results have you seen since implementing DataCamp?</h2>
<p>Our alpha cohort used the DataCamp platform over a period of six months and has recently graduated and transitioned into full-time roles. We adapted our learnings from our alpha cohort to roll out our second cohort of students. One hundred percent of our students are leveraging DataCamp’s world-class content, assessments, and in-platform coding exercises. Our in-house data scientists, instructors, program director, and management oversee students’ progress in-platform and manage their learning paths.</p>
<p>Our trainees come from a diversity of backgrounds—from computer science to English to accounting—and vary in industry experience. Over 65% of our trainees come from provincial areas and about 45% are female. Moreover, over 90% have passed our own calibrated quizzes and exams, and have demonstrated the ability to apply skills in experimental project settings.</p>
<p>With DataCamp, we are able to maximize our students’ learning and produce graduates that will reinvigorate Cambodia&#39;s economy with highly in-demand skills. Our goal is to become the world hub for data talent and to strengthen the global tech community.  </p>
<h2 id="what-would-you-tell-others-who-might-be-considering-partnering-with-datacamp-">What would you tell others who might be considering partnering with DataCamp?</h2>
<p>The ease and flexibility of adopting DataCamp was key to helping our trainees obtain data skills. While English remains a challenge for some Cambodian youths, they’re able to absorb and retain knowledge by watching, re-watching, and practicing coding in the DataCamp platform. DataCamp also gives them an interactive user experience with their easy navigation of course materials.</p>
<p>We use blended learning to supplement online learning with an in-person learning environment that mimics the workplace. We’ve observed that our trainees often choose to use <a href="http://datacamp.com/mobile">DataCamp Mobile</a> at home to access concepts beforehand and review content on their own time. This provides great flexibility that has a positive impact on students’ outcomes.</p>
<p>Moreover, DataCamp provides a breadth of courses—from high-level fundamentals to technical data engineering and machine learning concepts. Their content goes deep and their courses on Python and R are constantly being updated.</p>
<p>If you belong to an organization that desires to reskill and upskill their workforce to boost organizational data fluency, we can definitely recommend DataCamp.</p>
<p>Find out more about <a href="https://mydatau.org/">DataU Academy</a> and connect with Sokhna <a href="https://www.linkedin.com/in/sokhnavor/">on LinkedIn</a>. Sokhna is also a co-founder at <a href="https://mekongbigdata.com/">Mekong Big Data</a>.</p>
<p>Learn more about DataCamp&#39;s partnerships <a href="https://www.datacamp.com/community/blog/free-datacamp-subscriptions">here</a>. To become a partner, reach out to <a href="mailto:giveaway@datacamp.com">giveaway@datacamp.com</a>. </p>


https://www.datacamp.com/community/blog/datau

Q&A with Sokhna Vor, Co-founder and Managing Partner, Data Science at DataU Academy

DataU Academy Equips Cambodian Youth With In-Demand Skills for the Global Data Revolution

<p>Times are tough in the wake of COVID-19 and the current economic downturn. Many are looking to upgrade their skills to be more competitive in the job market or transition into new careers entirely. As the best online platform for learning data skills, DataCamp is uniquely able to help individuals navigate skill development opportunities from the safety of their homes. We’re making good on <a href="https://www.datacamp.com/community/blog/free-week-thank-you">our commitment from May</a>: For every yearly DataCamp subscription purchased during our half-off promo, we’re giving one away to a person in need.</p>
<h1 id="our-mission-to-democratize-data-education-for-everyone">Our mission to democratize data education for everyone</h1>
<p>To support DataCamp’s mission of democratizing data skills, we offer affordable monthly and yearly subscriptions to our learning platform, and we’ve provided free data science education to <a href="https://www.datacamp.com/community/blog/datacamp-classroom">over 300,000 students</a> at no charge with <a href="https://www.datacamp.com/groups/education">DataCamp for the Classroom</a>. Today, we’re excited to unveil a new initiative to help those financially impacted by COVID-19 or otherwise in need.</p>
<h1 id="serving-communities-in-need-with-free-datacamp-access">Serving communities in need with free DataCamp access</h1>
<p>We’ve partnered with several organizations that serve a diverse range of communities and have one thing in common: their members need skills to get jobs and advance their careers during these difficult times. We’re donating annual DataCamp Premium subscriptions to these organizations in support of these communities. This allows us to help people who otherwise may never have known about us while fostering new relationships with organizations that align with our mission of democratizing data skills.</p>
<h1 id="recipients-of-free-datacamp-subscriptions">Recipients of free DataCamp subscriptions</h1>
<p>Here are just a few of the fantastic organizations that will collectively receive over 10,000 annual DataCamp Premium subscriptions:</p>
<p><left><a href="https://perscholas.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595856035/perscholasLogo_nmwzii.png" /></a></left> <a href="https://perscholas.org/">Per Scholas</a> is an American nonprofit that drives positive and proven social change in communities across the country. Through rigorous, tuition-free technology training and professional development, Per Scholas prepares motivated and talented adults for careers as IT professionals and creates on-ramps to employers in need of their skills. To date, over 10,000 individuals have enrolled in Per Scholas&#39; training, developing lasting skills and launching successful careers in tech.</p>
<p><left><a href="https://www.blackgirlscode.com/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/c_scale,w_107/v1595962836/bgc_brand_presence_logos_primary_black_vfinal_xiwgug.png" /></a></left> <a href="https://www.blackgirlscode.com/">Black Girls CODE</a> is spearheading a global movement to establish equal representation in the tech sector. They work with a broad community to convene and empower young girls of color by fortifying their self-confidence, exposing them to unseen possibilities in the digital age, and equipping them with the tools and habits of mind required to become tomorrow’s creators, innovators, and leaders.</p>
<p><left><a href="https://www.launchcode.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595601205/BOGO_LaunchCode_gts0z8.png" /></a></left> <a href="https://www.launchcode.org/">LaunchCode</a> is a nonprofit creating economic opportunity by adding new talent to tech ecosystems across the United States. While careers in technology have traditionally been reserved to those who can afford a computer science degree, LaunchCode&#39;s programs are free and accessible to motivated individuals who are assessed for passion, drive and aptitude rather than credentials.</p>
<p><left><a href="https://www.blossomacademy.co/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1596129149/Academy_Logo-_Transparent_du3gpr.png" /></a></left> <a href="https://www.blossomacademy.co/">Blossom Academy</a> is a talent development organization that recruits and develops African data scientists, with the goal of connecting them with job opportunities. Blossom Academy provides a skills-based curriculum designed in collaboration with industry partners that reflects real-world experience. Training includes building analytical tools to address region-specific business challenges and coaching in critical soft skills.</p>
<p><left><a href="https://mydatau.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595601205/BOGO_DataU_i2j4rf.png" /></a></left> <a href="https://mydatau.org/">DataU</a> is Cambodia’s first academy focused on developing both soft and hard skills in the fields of data science, IT in data, and digital marketing to meet global demands. They work with leading organizations in telecommunications, banking, fintech, consumer goods, manufacturing to unlock the power of their data by recruiting, training, and deploying highly-skilled graduates.</p>
<p><left><a href="https://codelouisville.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595602237/BOGO_CodeLou_rniwjs.png" /></a></left> <a href="https://codelouisville.org/">Code Louisville</a> and <a href="https://www.techlouisville.org/">Tech Louisville</a> are workforce training programs of <a href="https://www.kentuckianaworks.org/">KentuckianaWorks</a>, designed to help adults transition into new careers in technology. Through their unique model of blending online learning, meetups with volunteer technology professionals, and partnering with local government and non-profit institutions, they are able to reach marginalized communities and improve lives through free technology education.</p>
<p><left><a href="https://www.boldrimpact.com/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1596133516/1596133132310_Copy_of_BOLDR_Logo_Final_GDrive_c0uz83.png" /></a></left> <a href="https://www.boldrimpact.com/">Boldr</a> is a purpose-driven company that exists to help people grow and connect. At the heart of everything they do is a commitment to nurturing positive and measurable growth for their Clients, Company, and Community. Boldr has a sterling reputation of giving back to their community, and with their help, we are able to support the following nonprofits.</p>
<p><left><a href="https://teachforthephilippines.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1596133523/TFP_Circular_Logo_-_Red_zblbmn.png" /></a></left> <a href="https://teachforthephilippines.org/">Teach for the Philippines</a> works to provide all Filipino children with access to inclusive, excellent, and relevant education. They work with public school teachers who have potential for leadership and develop students to become responsible citizens who can think critically, articulate clearly, and pursue goals. Together with the Department of Education, Teach for the Philippines aims to transform the public school system for the better.</p>
<p><left><a href="https://wi-tech.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1596133646/01_Official_WiTech_Logo_MAIN_vfq1us.png" /></a></left> <a href="https://wi-tech.org/">Youth for Women in Technology Inc. (WiTech)</a> is a youth-led non-profit organization that aims to inspire, educate, and empower the youth to break gender barriers and make a difference with science and technology.</p>
<h1 id="support-datacamp-s-partnership-initiatives">Support DataCamp&#39;s partnership initiatives</h1>
<p>We realize many individuals may benefit from a free year of DataCamp, but we&#39;ve decided to partner with community development organizations on this giveaway. Consider applying for membership at one of our partner organizations listed above if you meet their eligibility criteria, and let them know you would like access to a free DataCamp subscription. Upon acceptance, you may be placed on a waiting list for a free subscription.</p>
<p>If you know of an organization that would be interested in partnering with us, reach out to <a href="mailto:giveaway@datacamp.com">giveaway@datacamp.com</a>.</p>
<p>Learn more about DataCamp&#39;s giveaway initiative in our <a href="https://support.datacamp.com/hc/en-us/articles/360051596574">Help Center</a>.</p>
<p><em>This article was edited on July 30, 2020 to include additional training partners: Blossom Academy, Boldr, Teach for the Philippines, and WiTech.</em></p>


https://www.datacamp.com/community/blog/free-datacamp-subscriptions

We’re partnering with charitable organizations to give away thousands of annual DataCamp subscriptions to people negatively impacted by the ongoing health and economic crises.

Giving Away 10,000+ DataCamp Subscriptions to Those Who Need Them Most

<p>At DataCamp, we started measuring employee engagement and satisfaction early on. We run these surveys regularly and anonymously using a platform called <a href="https://www.cultureamp.com/">Culture Amp</a>.</p>
<p>The results of these surveys provide our management and People team with important inputs on the health of the team. As a company, we make an effort to discuss these results individually and more broadly so that engagement insights can translate into substantive actions to create an environment where employees will thrive.</p>
<p>In this post, I’ll share the results from our June 2020 employee engagement survey, for which 76 of 101 total employees participated.  </p>
<p>One of the nicest features Culture Amp provides is the ability to benchmark results against a large group of companies. This provides us with an understanding of where we can improve and where we’re excelling compared with our peers.  DataCamp runs benchmarks against other companies in <a href="https://www.culturefirst.com/insights/new-tech">New Tech</a> and <a href="https://www.culturefirst.com/insights/education">Education</a>.</p>
<h1 id="employee-engagement">Employee engagement</h1>
<p><center><a href="https://www.datacamp.com/jobs/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595251545/emp1_fzcg8t.png" /></a></center><br></p>
<p>Culture Amp’s key outcome is <a href="https://academy.cultureamp.com/hc/en-us/articles/208039295-Guide-to-understanding-engagement-scores">Engagement</a>, which measures the level of connection, motivation, and commitment a person feels for the place they work. At DataCamp, 79% of our employees score favorable, 14% neutral, and 7% unfavorable. This brings us into the top 25% for both our benchmarks: New Tech and Education.</p>
<h1 id="diving-a-bit-deeper">Diving a bit deeper</h1>
<p>If we dive a bit deeper, we see similar scores for each individual question in the survey.</p>
<p>Looking at the absolute scores, the following three questions score the highest among DataCamp employees:</p>
<p><center><a href="https://www.datacamp.com/jobs/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595251547/emp2_ej6fto.png" /></a></center><br></p>
<p>Our employees join DataCamp because they want to be part of a fast-growing environment, surrounded by mission-driven people (in our case, committed to democratizing data science education), and they want to solve difficult challenges (of which we have plenty). I’m happy to see that almost 90% of employees recommend DataCamp as a great place to work (with neutral at 6%).  </p>
<p>Looking at the other two top-scoring questions, it becomes clearer as to why DataCamp is a great place to work: our employees have great role models and know what is needed to be successful. Both are key elements of creating a work environment where people can develop and grow.   </p>
<p>When we rank our scores against the benchmarks of <a href="https://www.culturefirst.com/insights/new-tech">New Tech</a> and <a href="https://www.culturefirst.com/insights/education">Education</a>, we notice that:</p>
<ul>
<li>We score over 14 (New Tech) and 17 (Education) percentage points higher compared to the average for the question “I rarely think about looking for a job at another company.”  </li>
<li>Two other areas that stand out when comparing DataCamp results with the general results of New Tech and Education are our high scores on the questions “DataCamp is a great company for me to make a contribution to my development,” and “I receive appropriate recognition for good work at DataCamp.”</li>
</ul>
<p>Being at the crossroads of education and technology, personal development and learning is very important to our team members. We support them by providing personal training budgets and making sure they can work on complex problems with talented people. At DataCamp, we believe that building a team full of smart and passionate people enables everyone to become better at what they do.    </p>
<p>For transparency, I also want to share our lowest-scored question:</p>
<p><center><a href="https://www.datacamp.com/jobs/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595266642/emp3_1_zgpt0y.png" /></a></center><br></p>
<p>When a company grows as fast as DataCamp, things can get chaotic at times. That might be manageable with a small team of 20 people, but with 100+ employees in three countries around the world, scaling the business with more structure is key. As a company, we’re trying to find the right balance between getting the proper systems and processes in place, and remaining nimble enough for innovation to thrive. For example, we’ve recently invested in getting the proper infrastructure in place for our Sales and Customer Success teams, improved our processes for <a href="https://www.datacamp.com/community/blog/iso-certified">information management</a>, and streamlined our <a href="https://www.datacamp.com/create">instructor application</a> process.</p>
<h1 id="to-measure-is-to-know">To measure is to know</h1>
<p>At DataCamp, we’re big fans of tools like CultureAmp and <a href="https://lattice.com/">Lattice</a> to understand employee engagement and satisfaction in a quantitative way. We use these insights to identify clear actions and focus areas for our people, and to hold managers accountable for the well-being of their teams.</p>
<h1 id="join-the-datacamp-team-">Join the DataCamp team!</h1>
<p>We’re always looking for new talent. If you’re passionate about democratizing education in data science and analytics and ready for a new challenge, explore our <a href="https://www.datacamp.com/jobs/">careers page</a>.</p>
<p>Want to learn more about what life is like at DataCamp? Read some of our employee spotlights and get excited:</p>

<style>
  .custom-profiles {
    list-style: none;
    margin: 0;
    padding: 0;
  }

  .custom-profiles li {
    box-sizing: border-box;
    margin-top: 24px;
  }

  .custom-profiles a {
    display: block;
    text-align: center;
  }

  .custom-profiles img {
    margin-bottom: 8px;
    max-width: 280px;
    width: 100%;
  }

  @media screen and (min-width: 768px) {
    .custom-profiles {
      display: flex;
      flex-wrap: wrap;
    }

    .custom-profiles li {
      padding: 0 24px;
      width: 50%;
    }
  }

  @media screen and (min-width: 992px) {
    .custom-profiles li {
      width: 33.3333%;
    }
  }
</style>
<ul class="custom-profiles">
  <li>
    <a href="https://www.datacamp.com/community/blog/adel/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595252004/blog_adel_nmnk2k.png" /></a><a href="https://www.datacamp.com/community/blog/adel/">Adel Nehme, Content Developer</a>
  </li>
  <li><a href="https://www.datacamp.com/community/blog/aimee/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595252004/blog_aimee_ykrh9z.png" /></a><a href="https://www.datacamp.com/community/blog/aimee/">Aimee Gott, Head of Skill Assessment Content</a>
  </li>
  <li><a href="https://www.datacamp.com/community/blog/cat/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595252004/blog_cat_vmmoqp.png" /></a><a href="https://www.datacamp.com/community/blog/cat/">Cat Powers, Customer Success Manager, Enterprise Enablement</a>
  </li>
  <li>
    <a href="https://www.datacamp.com/community/blog/james/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595252004/blog_james_mwydf2.png" /></a><a href="https://www.datacamp.com/community/blog/james/">James (Mac) Stephens, Customer Success Manager</a></li>
  <li><a href="https://www.datacamp.com/community/blog/kelsey/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595252005/blog_kelsey_jjqeax.png" /></a><a href="https://www.datacamp.com/community/blog/kelsey/">Kelsey McNeillie, Instructor Recruiter</a></li>
  <li><a href="https://www.datacamp.com/community/blog/maria/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595252006/blog_Maria_enb5q9.png" /></a><a href="https://www.datacamp.com/community/blog/maria/">Maria Barbosa, Software Engineer</a></li>
  <li>
    <a href="https://www.datacamp.com/community/blog/mehdi/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595252005/blog_mehdi_r3quyn.png" /></a><a href="https://www.datacamp.com/community/blog/mehdi/">Mehdi El Hamzaoui, Senior Corporate Account Executive</a></li>
  <li><a href="https://www.datacamp.com/community/blog/nuno/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595252006/blog_nuno_fsooqv.png" /></a><a href="https://www.datacamp.com/community/blog/nuno/">Nuno Rafael Rocha, Engineering Manager</a></li>
  <li><a href="https://www.datacamp.com/community/blog/shirley/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1595252006/blog_shirley_dq1img.png" /></a><a href="https://www.datacamp.com/community/blog/shirley/">Shirley Lin, Software Engineer</a></li>
</ul>

https://www.datacamp.com/community/blog/employee-engagement-at-datacamp

Read why DataCamp employees recommend DataCamp as a great place to work. Join the team!

Nine out of ten DataCamp employees recommend DataCamp as a great place to work. Join the team!

Measuring Employee Engagement at DataCamp

<p>Many companies are thinking about how to accelerate their digital transformation with data. In this article, we’ll discuss the benefits of using personas to structure your data-focused learning and development programs and show you how to start mapping roles across your organization.</p>
<h1 id="why-you-should-use-personas-in-your-learning-journey">Why you should use personas in your learning journey</h1>
<p>Every persona has a different relationship with data. Not everyone in your company has “data scientist” in their title, but that doesn’t mean they don’t need to understand how to work with and interpret data. We recommend a role-based approach to identify which skills are needed to help each role to meet their performance goals.</p>
<p>The purpose of data roles is to map each primary persona within your company to the skills they need to optimally perform their job duties.</p>
<h1 id="the-four-most-common-personas">The four most common personas</h1>
<p>DataCamp currently has over 1,600 enterprise customers representing diverse industries, including  financial services, healthcare, consulting, technology, consumer goods and retail, government, and more. Our business customers tend to use the following personas: Data Consumer, Leader/Manager, Data Analyst, Citizen Data Scientist, Data Scientist, Data Engineer, Database Administrator, Statistician, Machine Learning Scientist, and Programmer.</p>
<p>For the purpose of this blog post, we’ll focus on the four most common personas: Data Consumer, Leader/Manager, Data Analyst, and Data Scientist.</p>
<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594060164/Data_roles_1_d2yws5.jpg" /></a></center><br>

<h2>Data Consumer</h2>
<ul>
<li>Works in a non-technical role, but consumes analytics outputs as part of their daily processes. Almost everyone will have to consume data of some type, but they also need to be able to interpret what they are shown.
<li>Sniff test: Could they ask a sensible question after you showed them a bar plot?
<li>Example role: Marketing Manager
</ul>

<h2>Leader/Manager</h2>
<ul>
<li>Uses analytics for monitoring performance and making strategic decisions. They may need a broader view than other data consumers, as they will need to understand the outputs of their data teams and use those insights to make strategic decisions.
<li>Sniff test: Do they make decisions based on the results of data projects?
<li>Example role: Chief People Officer
</ul>

<h2>Data Analyst</h2>
<ul>
<li>Defines and develops domain-specific analytics to support decision making, including calculating descriptive statistics, visualizations, and reporting. They generally need skills in reporting and BI tools to share insights, basic skills in SQL, and even some proficiency in common manipulation tasks in programming languages.
<li>Sniff test: Can they draw a bar plot without sweating?
<li>Example role: Operations Analyst
</ul>

<h2>Data Scientist</h2>
<ul>
<li>Uses advanced domain-specific techniques to perform data science tasks. They perform advanced analytics to gain insights and communicate those insights to help answer business questions. They typically have programming skills in Python or R, are confident working with data, and have strengths in advanced analytics topics, such as statistics and machine learning.
<li>For the purpose of this article, Citizen Data Scientists, or those who are able to perform the role of a data scientist, also fall under this category.
</ul>

<h1>Mapping roles to required skills</h1>
<p>Ask questions of the key personas at your company to understand their goals and their primary focus areas.</p>

<h2>Frequency</h2>
<p>How often do they require access to certain data?</p>

<h2>Self-assessed proficiency</h2>
<p>How would they rate their own competencies in your areas of interest?</p>

<h2>Tools</h2>
<p>Are they using open-source programming tools, BI tools, in-house reporting, or other tools?</p>

<h2>Sniff tests</h2>
<p>Are they able to understand data in context or deliver required reports or models?</p>

<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594060369/skilllevel_z71k5h.png" /></a></center><br>

<h1>Role-based L&amp;D on DataCamp</h1>
<p>DataCamp offers guidance in our product experience on how to build an impactful learning experience for each role at your company.</p>

<h2>Segment by role</h2>
<p>You can use DataCamp’s teams feature to segment learners by roles on the platform.</p>

<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594066013/dataroles1_b7fz95.png" /></a></center><br>

<h2>Assign by role</h2>
<p>Create time-sensitive assignments to keep your team motivated and align their learning to content related to their data roles. Custom tracks give you the flexibility to craft appropriate learner journeys for each role.</p>

<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594066058/dataroles2_onrnpi.png" /></a></center><br>

<h2>Measure and evaluate</h2>
<p>Admins can easily understand, measure, and report on the impact training has on your organization and see how you are moving toward your learning goals.</p>

<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594066095/dataroles3_ntagzc.png" /></a></center><br>

<h1>Learner benefits of using personas</h1>
<h2>Clear expectations</h2>
<p>With so many topics and technologies to learn, it can be overwhelming to get started while juggling all of your other responsibilities. Assignments provide clear expectations for learners.</p>

<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594066214/dataroles4_tm2ges.png" /></a></center><br>

<h2>Personalized experience</h2>
<p>With DataCamp Signal, learners receive personalized training recommendations to take their data skills to the next level. Admins can track development on their skill assessment dashboard.</p>

<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594066399/dataroles5_pxsrrp.png" /></a></center><br>

<h2>Built for busy professionals</h2>
<p>With DataCamp, learners can fast forward their learning. We give learners the option to skip certain courses that are not relevant if they can demonstrate prior knowledge of the material by passing a <a href="https://www.datacamp.com/signal">Signal skill assessment</a>.<br></p>
<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594066403/dataroles6_rrqo32.png" /></a></center><br>

<h1>Conduct a skill audit of your team</h1>
<p>We offer a free <a href="https://skill-audit.datacamp.com/discover-your-companys-data-skill-level">skill audit</a> so you can benchmark your company’s skills. Upon signing up, you’ll also get a chance to see our newest skill assessment prototypes and the opportunity to shape how we build the product.</p>
<p></p>
<center><a href="https://www.datacamp.com/business/demo"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1585330745/demobanner_hg8ffe.png" /></a></center>


https://www.datacamp.com/community/blog/persona-driven-learning

Persona-driven learning journeys for data roles are a new way to think company-wide data upskilling. Here’s how to use personas to structure your company’s training program.

Persona-Driven Learning Journeys to Transform Your Data Program

<p><center><a href="https://www.datacamp.com/instructors"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594137310/Instructors_u6ckuj.png" /></a></center><br></p>
<p>I’m pleased to announce that we have achieved a new record: We’ll be paying out over <strong>\$1,000,000</strong> to our instructor community in ongoing royalties for their learning content in a single quarter. DataCamp’s top five instructors will each receive an average of more than \$53,000 in royalties while the average revenue share for all instructors this quarter is \$4,520.   </p>
<p>This is a new milestone for us and a testament to the quality of our instructors and the content they create. <a href="https://www.datacamp.com/instructors">Our community of instructors</a> has grown over the years and hails from all over the world.</p>
<p><center><a href="https://www.datacamp.com/instructors"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594309893/instructors1_wxfmyw.png" /></a></center><br></p>
<p>Becoming a DataCamp instructor is no small feat. Our vetting process allows us to maintain the highest standard of instruction for our learners. We select instructors based on their subject matter expertise, coding proficiency, professional experience, and prior teaching experience. These world-class professionals include faculty at prestigious colleges and universities and experts from a wide range of industries.</p>
<p><center><a href="https://www.datacamp.com/instructors"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1594646971/image-20200713-102758_sraymq.png" /></a></center><br></p>
<p>DataCamp instructors also produce learning content across a wide range of technologies and topics, which allows us to be a comprehensive platform for data skills education.  Because of them, our course catalog offers unparalleled breadth and depth. Our most popular courses are in Python, R, and SQL, but we also have courses in Tableau, Power BI, Scala, Excel, Spreadsheets, and conceptual non-coding courses.</p>
<p>We see our revenue-sharing model as a way to support the advancement of the open-source community. Many of our instructors spend their time working on open-source projects—often for no monetary benefit—and our royalties provide passive income for them to keep doing what they’re passionate about. Producing a course or project with us is a one-time investment for instructors, only requiring occasional maintenance to keep the learning materials updated.</p>
<p>We want to give a big thank you to all of our instructors for helping us build the best platform for data education in the world! You make DataCamp the best place to teach and learn every day.</p>
<p>Do you have what it takes to join our network of over 280 instructors and creators? Take a look at our <a href="https://docs.google.com/spreadsheets/d/1iqtAIifjaSurddhSkg_hlf-VydL7L-I8ccUETgEu5Tw/edit?ts=5be06762#gid=1004049316">Course Wishlist</a>. If you spot a course you’d be perfect for, we invite you to <a href="https://www.datacamp.com/create/">apply to become a DataCamp instructor</a>.</p>


https://www.datacamp.com/community/blog/instructor-payout

DataCamp has hit a new record payout to instructors this quarter. It’s money well spent.

community

datacamp

Official Blog