<p>For this blog post, we sat down with three learners to understand how using Workspace has benefited their learning journeys and helped them advance their career prospects.</p>
<h3 id="the-perfect-upskilling-environment">The perfect upskilling environment</h3>
<p>Muhammad Salman is a behavioral science practitioner in Singapore who has been using Datacamp as a way to upskill in data analysis with R.</p>
<p>After getting started with DataCamp out of an interest in AI, he realized along the way that his interests aligned better with R. Using DataCamp, He made the switch and has been diligently practicing since the start of the year, completing a total of 15 courses!</p>
<p>Muhammad used Workspace as a tool to continue his learning journey and apply his newly acquired data skills.</p>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1632319319/how-workspace-empowers-learners-2_phbv1i.png"></center></p>
<h3 id="the-ideal-personal-development-environment">The ideal personal development environment</h3>
<p>Nathan, a product manager at edX, started using DataCamp in early 2017. Back then, he used it as a means to discover Python and analytics and completed over 15 courses and data science career tracks!</p>
<p>Once Workspace was released, he started to use it as a portfolio with a two-fold purpose: First, to be able to connect all the things he’s learned as practice, and second, to build a learner record of all his courses and work completed that can be viewed on his profile. He continues to explain that the primary goal was to create an artifact of his thinking—“what I can” versus “what I cannot.”</p>
<p>The idea of Workspace for Nathan was not just knowledge acquisition, but retention and practice. This is seen in his Workspace publication on Airbnb in New York based on a dataset from Kaggle, which felt close to home given he was in the process of booking a honeymoon. It’s the little things like that that can make practicing and applying your skills even more worthwhile.</p>
<blockquote>
<p>Workspace was the ideal tool for me to really push the limits of my data science learnings. - Nathan</p>
</blockquote>
<p>Nathan is going to be starting his Masters in Applied Data Science this fall at the University of Michigan. He accredits DataCamp for helping him get accepted and we can’t wait to see the amazing things he is going to accomplish!</p>
<h3 id="the-convenient-online-coding-tool">The convenient online coding tool</h3>
<p>Ray started with a pharmaceutical background but aims to diversify into data science. To do so, he enrolled in a graduate degree program at UC Boulder to kickstart his career.</p>
<p>Ray is primarily using Workspace as a tool to build out his portfolio for career development purposes. He used his skills to publish a wide array of insights, ranging from an analysis on global health and wealth to dice games. Ray has been using Workspace as his go-to-tool to practice and apply his code.</p>
<p>The unique value proposition that Workspace provides, like the cloud-based coding environment with no installation, is what Ray finds the most enticing:</p>
<blockquote>
<p>What I enjoy most about Workspace is that I can almost have a bit of a pseudo-cloud set up where I can... log onto single-point and continue (working). - Ray</p>
</blockquote>
<p>Interested in finding out how Workspace can improve your learning journey? Get started with <a target="_blank" href="http://workspace.datacamp.com/">Workspace</a> today!</p>
<p><p><center><a target="_blank" href="http://workspace.datacamp.com"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1627915174/how_learners_use_workspace_banner_kej2sm.png" /></a></center><p></p>


https://www.datacamp.com/community/blog/how-workspace-empowers-learners

Learn how Workspace is becoming the go-to tool for our learners to apply their data science skills and enhance their career opportunities.

How Workspace empowers learners’ personal development

<p><p><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624651228/schedule_a_demo_bfhlx1.png" /></a></center><p></p>
<h2 id="digital-transformation-in-the-modern-era">Digital Transformation in the Modern Era</h2>
<p>In our increasingly hyper-connected and digitized world, tremendous amounts of data are generated daily from the many online interactions that take place. Many organizations recognize the value of this and have embarked on digital transformations to leverage the burgeoning volumes of data to drive their businesses.</p>
<p>As enterprises strive to become data-driven, there are several key components that they must get right, one of which is equipping the employees with the right data tools to do their best work.</p>
<p>R is a powerful tool that forms an integral part of the modern-day data science toolkit. In this blog post, we explore the capabilities of R and the compelling reasons why you should train your teams on it.</p>
<h2 id="what-is-r-">What is R?</h2>
<p>R is an open-source programming language optimized for statistical analysis and data visualization. Developed in the early 1990s by statisticians Ross Ihaka and Robert Gentlemen, it has grown into a reputable data mining and analysis ecosystem.</p>
<p>Its goal is to create a more user-friendly way of performing statistics, data analysis, and data visualization. Despite its long history, R is still highly prevalent in data science today, and is often considered the programming language with the lower barrier to entry for beginners.</p>
<p>R is home to a rich community-driven ecosystem comprising more than 17,000 curated packages within the <a target="_blank" href="https://cran.r-project.org/">CRAN</a> repository. R packages are akin to apps that allow practitioners to perform a variety of tasks on R. With audited contributions from data professionals, the repository consists of many models and tools that empower users to prepare data, build powerful statistical models, and create beautiful visualizations.</p>
<p>Here are some industry use cases of R:</p>
<ul>
<li><p>ANZ (Australia and New Zealand Banking Group) used R in <a target="_blank" href="https://blog.revolutionanalytics.com/2011/08/how-anz-uses-r-for-credit-risk-analysis.html">credit risk analysis</a> to assess the probability of loan default</p>
</li>
<li><p>John Deere used R to <a target="_blank" href="https://www.slideshare.net/RevolutionAnalytics/order-fulfillment-forecasting-at-john-deere-how-r-facilitates-creativity-and-flexibility">forecast customer demand</a> for their equipment so that they can adjust optimally to the factors that impact order fulfillment</p>
</li>
<li><p>Zillow, a leading real estate marketplace in the USA, used R to <a target="_blank" href="https://blog.revolutionanalytics.com/2015/08/how-r-is-used-at-zillow-to-estimate-housing-values.html">estimate housing prices</a>.</p>
</li>
<li><p>The City of Chicago used R to <a target="_blank" href="https://chicago.github.io/food-inspections-evaluation/">predict which restaurants are likely to commit violations in sanitation inspections</a> to prioritize these outlets for review.</p>
</li>
<li><p>AirBnB developed internal R packages to <a target="_blank" href="https://medium.com/airbnb-engineering/using-r-packages-and-education-to-scale-data-science-at-airbnb-906faa58e12d">facilitate the efficient movement of data</a> across various storage locations (e.g. Presto, AWS S3)</p>
</li>
</ul>
<p>If you are wondering <a target="_blank" href="https://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-is-R-named-R_003f">how R got its name</a>, it is based on the first names of the two creators (Ross Ihaka and Robert Gentleman) and a play on the name of the older S programming language, on which R is built.</p>
<h2 id="how-is-r-useful-">How is R useful?</h2>
<h3 id="-i-ease-of-use-and-accessibility">(i) Ease of use and accessibility</h3>
<p>A key strength of R is the presence of numerous well-established packages for data manipulation and statistical analysis. Its open-source nature also means that anybody can gain access to R’s rich capabilities. Within the extensive R ecosystem, <a target="_blank" href="https://www.tidyverse.org/">Tidyverse</a> is the most famous collection of R packages for data science.</p>
<p>Tidyverse is a collection of easy-to-use packages designed for data import, manipulation, visualization, and reporting tasks. These packages share the same design, grammar, and data structures, which in turn streamlines the learning of R since getting familiar with one package allows you to transition over to the next one readily.</p>
<p>R is also commonly considered as one of the easier programming languages for data manipulation, so the barrier to learning and applying R is relatively low.</p>
<p>While spreadsheet software like Excel can perform data analysis, it struggles to handle long repetitive data manipulation tasks involving big datasets. If you have tried working on large datasets of more than 100,000 rows in Excel, you will understand how tediously slow the program can become.</p>
<p><center><a target="_blank" href="https://www.datacamp.com/courses/introduction-to-r"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631219739/R_1_hpwmki.gif"></center></a></p>

<p><center><em>With 3 intuitive lines of code, you can filter a dataset based on column condition, and arrange it by another column condition</em></center></p>
<p>On the contrary, R can produce detailed analyses efficiently, even for large datasets. This is helpful for projects where you need to process a myriad of large complex datasets repeatedly and cannot afford to consume too much time or computing resources.</p>
<h3 id="-ii-data-manipulation-and-visualization">(ii) Data manipulation and visualization</h3>
<p>The Tidyverse collection contains packages designed for data-related tasks, including popular ones like:</p>
<ul>
<li><p><a target="_blank" href="https://dplyr.tidyverse.org/"><strong>dplyr</strong></a> – Comprises a set of easy-to-understand commands for data manipulation</p>
</li>
<li><p><a target="_blank" href="https://tidyr.tidyverse.org/"><strong>tidyr</strong></a> – Provides functions to create data in a tidy format for analysis and storage</p>
</li>
<li><p><a target="_blank" href="https://ggplot2.tidyverse.org/"><strong>ggplot2</strong></a> – Consists of methods and functions for building impactful data visualizations</p>
</li>
</ul>
<p>When used in tandem, these packages allow users to perform data manipulation and analysis efficiently and present insights effectively in highly precise and informative visualizations.</p>
<p><center><a target="_blank" href="https://www.datacamp.com/courses/introduction-to-r"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631219740/r_2_un8rjs.gif"></center></a></p>

<p><center><em>From the ggplot2 plot above, we can readily glean insights about the GDP per capita across continents over time.</em></center></p>
<h3 id="-iii-reporting-and-dashboarding">(iii) Reporting and dashboarding</h3>
<p>After performing data manipulation, analysis, and modeling, the final (and arguably the most important) step is to ensure that the insights are communicated meaningfully.</p>
<p>Besides static visualizations built with ggplot2, interactive dashboards can be created for stakeholders to engage in self-service business intelligence. These dashboards allow business users to directly access the dashboards by themselves to answer their own data questions</p>
<p><a target="_blank" href="https://shiny.rstudio.com/">Shiny</a> is an excellent R package that enables people to build and publish dashboards for sharing with others easily. Its ease of use allows even those without much technical experience to create powerful and professional dashboards.</p>
<p>Here is an example of a Shiny dashboard used for the monitoring of New Zealand trade information:</p>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631220002/three-reasons-why-all-teams-should-learn-r-3_u4sqai.png"></center></p>

<p><center><strong>Source:</strong> <a target="_blank" href="https://shiny.rstudio.com/gallery/nz-trade-dash.html">RStudio Shiny Gallery</a></center></p>
<h2 id="democratizing-data-science-with-r">Democratizing data science with R</h2>
<p>According to <a target="_blank" href="https://www.forrester.com/webinar/Struggling+To+Find+Value+In+Data+Insights+Service+Providers+Deliver+Business+Value+And+Build+Culture+And+Capacity/-/E-WEB31126?objectid=WEB31126">Forrester</a>, companies make fewer than 50% of their decisions based on data instead of gut feeling, experience, or opinion. To unlock the value of data, employees need to upskill and equip themselves with tools to learn from their data efficiently and effectively.</p>
<p>The good news is that powerful data tools need not cost much at all. R is a free, open-source programming language that makes it easy to perform critical data science tasks like data manipulation, modeling, and visualization.</p>
<p>R is a practical yet intuitive skill for technical and non-technical employees to learn and apply, given its relatively low barrier to entry. With these valuable data skills in place, enterprises will be on their way to achieving the positive business outcomes of operating as a data-driven company.</p>

<p><p><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624651228/schedule_a_demo_bfhlx1.png" /></a></center><p></p>

https://www.datacamp.com/community/blog/three-reasons-why-all-teams-should-learn-r

Learning R can do wonders for any team trying to adopt data science methods. You don’t need to have a team of expert R programmers to start deriving value from it. Here are 3 ways R reasons why.

3 reasons why all teams should learn R

<p><p><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624651228/schedule_a_demo_bfhlx1.png" /></a></center><p></p>
<p>With organizations embarking on digital and data transformations to stay competitive in an increasingly digital world, they must equip their employees with skills and tools to make the best use of the massive volumes of data.</p>
<p>If there is a single universal language at the core of the data industry, then SQL is the answer. SQL, if democratized, is a powerful enabler in transforming an organization into a <a target="_blank" href="https://www.datacamp.com/community/blog/the-past-and-present-of-data-science">data-driven</a> enterprise.</p>
<h3 id="what-is-sql-">What is SQL?</h3>
<p>SQL (pronounced either as ‘Sequel’ or ‘S-Q-L’) stands for Structured Query Language. It is a powerful query language allowing users to search through large amounts of data and extract relevant information for analysis.</p>
<p>Since its development in the 1970s, SQL has been an integral tool for data practitioners to access and manipulate structured data in a scalable and efficient way. Several factors drive its ever-growing popularity and importance:</p>
<ul>
<li><p>Its simple syntax involving common English words makes it easy to learn and understand.</p>
</li>
<li><p>Most organizations use relational databases to store and process structured data, and SQL is the ideal tool designed to interact with such database structures.</p>
</li>
<li><p>SQL can handle large volumes of data with minimal steps and effort, and these analyses can be easily replicated by re-running the saved query scripts.</p>
</li>
</ul>
<h3 id="sql-in-the-industry">SQL in the industry</h3>
<p>Based on the latest 2021 Stack Overflow Developer Survey, SQL is the <strong>fourth most popular technology</strong> amongst many well-known tools and remains the <strong>top</strong> language for database management.</p>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631217657/why-your-organization-should-upskill-on-sql-1_ejsdlv.png"></center></p>

<p><center><em>Most popular languages for programming, scripting, and markup | <strong>Source:</strong> <a target="_blank" href="https://insights.stackoverflow.com/survey/2021#technology-most-popular-technologies">Stack Overflow</a></em></center></p>
<p>The utility of SQL is obvious upon seeing that tech giants like Amazon, Google, and Microsoft all use SQL to manage their database systems.</p>
<p>Its popularity spans companies of all sizes and fields, not just the big enterprises. A look at job openings on Indeed and LinkedIn reveals that SQL remains one of the most in-demand skills for data-related roles across the industry.</p>
<h3 id="how-is-sql-useful-">How is SQL useful?</h3>
<p>Let’s look at several examples of how SQL can be useful for you and your organization.</p>
<ol>
<li><strong> Automating workflows and analyses</strong></li>

<p>Almost all organizations are familiar with spreadsheet software like Microsoft Excel. Given Excel’s pervasiveness and history, numerous employees in your company are already proficient in advanced Excel commands and tools (such as VBA) for data analysis.</p>
<p>SQL is an easy and accessible extension to Excel because it can execute all the Excel spreadsheet functions and more. For example, SQL’s JOIN clauses deliver the same outcome as VLOOKUP in Excel. Excel users’ familiarity with data in tabular format also makes it easier for SQL to be <a target="_blank" href="https://www.datacamp.com/community/blog/how-to-learn-sql">learned</a> and adopted.</p>
<p>Both VBA and SQL are scripting tools that can help automate data workflows and insights extraction through repeatable data analysis. The advantage of SQL is that it has an intuitive syntax based on English words, making it easier to use than the more complicated formula writing in VBA.</p>
<p>Let’s say a movie streaming service wants to show the name and release date of films released after 2000. The team can quickly obtain the answer to this question with a simple SQL query:</p>
<p><center><a target="_blank" href="https://www.datacamp.com/courses/introduction-to-sql"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631217742/sql_1_gif_we1rwj.gif"></a></center></p>

<p><center><em>With 3 intuitive lines of code, you can filter a dataset based on column condition, and show the columns you want to display</em></center></p>
<p>The simple language structure of SQL is evident from the above query, with the use of everyday English words like SELECT, FROM, and WHERE.</p>
<p>Excel and SQL offer <a target="_blank" href="https://towardsdatascience.com/excel-vs-sql-a-conceptual-comparison-dcfbee640c83">different strengths and benefits</a>, so having both tools in a data toolkit makes the team highly effective in handling and automating a wide range of data tasks involving relational databases.</p>
<p></p>
<li><strong> Fast and effective manipulation of large datasets</strong></li>

<p>Traditional spreadsheet software like Excel works well with datasets of small to medium sizes, but the problem comes when dealing with vast volumes of data. The Excel program can become tediously slow (<a target="_blank" href="https://towardsdatascience.com/excels-limitation-caused-loss-of-16-000-positive-covid-cases-a2be4b654c8f">or even crash</a>) if you open and process big datasets (e.g. &gt;100,000 rows) in it, making it untenable for large-scale analysis.</p>
<p>This is where SQL comes to the rescue. Whether there are one hundred or one million records, SQL is well-equipped to process datasets of virtually any size. SQL is designed to manipulate large datasets quickly and robustly, thereby allowing analysts to locate and extract data efficiently.</p>
<p>Because of its speed and rigor, SQL is still the go-to query language for interfacing with modern data warehouses and platforms that store massive volumes of data.</p>
<p></p>
<li><strong> Answer difficult business questions</strong></li>
</ol>
<p>Organizations need to constantly answer challenging business questions as part of their business growth. Along with the burgeoning volumes of data stored by companies in the digital era, there needs to be a query system in place for them to derive comprehensive insights from different data sources.</p>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631217663/why-your-organization-should-upskill-on-sql-3_oq2eid.png"></center></p>

<p>The beauty of SQL is that it can easily extract and manipulate large volumes of data stored across multiple tables. Unlike spreadsheet software, where you have to open each sheet separately to retrieve the data, SQL can readily combine data from different relational database tables before efficiently running a query on the merged data.</p>
<p>For example, let’s assume your food delivery business ran a marketing campaign on popular food channels that ramped up weekly throughout the month of June. The business question is: <strong>How much revenue per week did we achieve throughout the weeks of June?</strong></p>
<p>The following SQL query can help to answer the business question:</p>
<p><center><a target="_blank" href="https://www.datacamp.com/courses/introduction-to-sql"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631217749/sql_2_gif_sq8xa2.gif"></a></center></p>

<p><center><em>What usually requires multiple spreadsheets in Excel, can all be done in one centralized script in SQL with the use of Joins</em></center></p>
<p>This SQL query joins two tables (orders and meals) with JOIN clauses and then groups the data based on the week of transactions.</p>
<p>Furthermore, detailed SQL queries like the one above can be easily saved and shared with other colleagues, thereby ensuring the replicability of comprehensive analyses.</p>
<h3 id="democratizing-data-science-with-sql">Democratizing Data Science with SQL</h3>
<p>The <a target="_blank" href="https://www.pwc.com/us/en/services/consulting/analytics.html">PwC Global Data and Analytics Survey</a> revealed that data-driven organizations are three times more likely to report significant improvements in decision-making through data science. However, despite the explosion of data collected in recent years, many organizations are not ready to learn from their data efficiently and effectively.</p>
<p>SQL is the ideal tool to democratize data science in an organization because it is an easy and intuitive language that even non-technical people can quickly learn and apply.</p>
<p>Even if only a handful of employees learn the basic SQL queries for self-service analytics, the organization can expect to see improvements in effectively answering business questions with data. With these valuable data skills in place, enterprises will be on their way to achieving the positive business outcomes of operating as a data-driven company.</p>
<p><p><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624651228/schedule_a_demo_bfhlx1.png" /></a></center><p></p>

https://www.datacamp.com/community/blog/why-your-organization-should-upskill-on-sql

Learning SQL can do wonders for any team working with data. Whether automating workflows with ease, working with big data, or answering complex questions, every team can benefit from supplementing their Excel skills by learning SQL. Discover why SQL is valuable and useful as a universal data language across all fields of data science and analytics.

Learning SQL can do wonders for any team working with data. Whether automating workflows with ease, working with big data, or answering complex questions, every team can benefit from supplementing their Excel skills by learning SQL. 

3 reasons why all teams should learn SQL

https://www.datacamp.com/community/blog/scaling-machine-learning-adoption-a-pragmatic-approach

In this episode of DataFramed, we speak with Noah Gift, founder of Pragmatic AI Labs and prolific author about operationalizing machine learning in organizations and his new book Practical MLOPs. 

Scaling Machine Learning Adoption: A Pragmatic Approach

<p><center><a target="_blank" href="https://www.datacamp.com/promo/september-2021"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631722938/1200x628_-_10_otc1iu.png"></a></center></p>

<p>DataCamp is proud to announce that we’re running a fall sale this September—subscribe today and you can get great deals on two of our top plans! In this blog post we discuss how you can make use of this sale, including how to claim your discount and what getting a DataCamp plan can do for you.</p>
<h2 id="what-s-being-offered-in-this-fall-sale-">What’s being offered in this fall sale?</h2>
<p>For individual learners, we are offering a discount of over 60% on the price of our Premium plan. For organizations looking to upskill this fall, we are offering over 33% off the normal price of our Professional plan!</p>
<h2 id="how-do-i-claim-these-price-discounts-">How do I claim these price discounts?</h2>
<p>We believe in making things easy: Simply purchase a Premium or Professional plan before September 22 (click <a target="_blank" href="https://www.datacamp.com/promo/september-2021">here</a> or on the sale’s banner at the top of your screen), and the price discount will automatically be applied—no need for promo codes!</p>
<h2 id="what-will-i-get-with-this-promo-">What will I get with this promo?</h2>
<p>You’ll get access to our catalog of more than 350 <a target="_blank" href="https://www.datacamp.com/interactive-learning">courses</a> in data science, data literacy, and BI tools—all led by experienced instructors and feature hands-on, interactive exercises. You’ll also gain access to more than 60 <a target="_blank" href="https://www.datacamp.com/signal">assessments</a> to put what you’ve learned to the test and more than 80 real-world <a target="_blank" href="https://www.datacamp.com/projects">projects</a> to apply your skills. To practice what you’ve learned and keep your skills sharp, our <a target="_blank" href="https://www.datacamp.com/mobile">mobile app</a> comes with exercises that can be completed within five minutes.</p>
<h2 id="i-m-looking-for-a-data-science-job-what-will-i-get-with-this-promo-">I’m looking for a data science job. What will I get with this promo?</h2>
<p>DataCamp’s Premium plan will prepare you for a job in data science. In addition to gaining access to all DataCamp learning content, you’ll also have access to our data science <a target="_blank" href="https://www.datacamp.com/certification">Certification</a> program and <a target="_blank" href="https://www.datacamp.com/careerservices">Career Services</a> to help you demonstrate your skills to employers and land your dream job in data science.</p>
<h2 id="i-m-looking-to-upskill-my-team-what-will-i-get-with-this-promo-">I’m looking to upskill my team. What will I get with this promo?</h2>
<p>You’ll get access to features that make it easy to manage your team’s experience on DataCamp, including admin roles and permissions, the ability to set assignments with deadlines to individual team members, and live chat support.</p>
<h2 id="i-still-need-some-time-to-decide-">I still need some time to decide.</h2>
<p>No problem! If you’d like to take DataCamp for a test drive, we’re currently offering free access to three of our most popular courses for a limited time: <a target="_blank" href="https://www.datacamp.com/courses/intro-to-python-for-data-science">Introduction to Python</a>, <a target="_blank" href="https://www.datacamp.com/courses/free-introduction-to-r">Introduction to R</a>, and <a target="_blank" href="https://www.datacamp.com/courses/introduction-to-sql">Introduction to SQL</a>. You can also always take the first chapter of any of our courses for free with a Free personal plan.</p>
<p><a target="_blank" href="https://www.datacamp.com/promo/september-2021">Sign up</a> today to take advantage of this deal!</p>
<p><center><a target="_blank" href="https://www.datacamp.com/promo/september-2021"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631723461/image_chsx2q.png"></a></center></p>


https://www.datacamp.com/community/blog/datacamp-promotion-september-sale

Looking to get started with data science or take your data skills to the next level? Now’s the time. Get over 60% off to learn Python, SQL and R.

Looking to get started with data science or take your data skills to the next level? Now’s the time. Get over 60% off to learn Python, SQL and R

DataCamp Promotion | Over 60% off | September Sale

DataCamp Promotion: Our September sale is now on!

<p><p><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624651228/schedule_a_demo_bfhlx1.png" /></a></center><p></p>
<p>In an age of accelerated digital transformation, learning and development is paramount for forging a resilient workforce that adapts to the changing nature of work. Most recently, MIT Sloan Management Review updated its 2014 <a target="_blank" href="https://sloanreview.mit.edu/article/the-new-elements-of-digital-transformation/">framework on digital transformation</a> to accommodate the people component, with culture and skills underpinning scalable organizational change. Creating a learning culture that sustains continuous learning is foundational for the ability to succeed in the digital age.</p>
<p>This is especially true for equipping organizations with the necessary data skills. With an ongoing data talent shortage, upskilling and reskilling on data science and analytics is top of mind for many executives and leaders today. <a target="_blank" href="https://www2.deloitte.com/us/en/insights/industry/technology/data-analytics-skills-shortage.html">According to Deloitte</a>, the number of jobs posted for analysis skills has consistently surpassed the number of employees available for these roles.</p>
<p>The link between ubiquitous use of data science and business outcomes is widely <a target="_blank" href="https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/catch-them-if-you-can-how-leaders-in-data-and-analytics-have-pulled-ahead">documented</a>. However, In addition to better business outcomes, organizations benefit from higher employee retention rates and satisfaction. A <a target="_blank" href="https://learning.linkedin.com/resources/workplace-learning-report-2018#">LinkedIn learning report</a> stated that 94% of employees believed that investing in training and development would improve their chance to stay at an organization for longer. A <a target="_blank" href="https://www2.deloitte.com/us/en/insights/focus/human-capital-trends/2016/fostering-culture-of-learning-for-employees.html">Deloitte survey</a> suggests that learning programs are a high-priority benefit that organizations can offer to younger employees and one that they expect.</p>
<p>In this article, we discuss the five key steps to take to create a learning culture you can start implementing in your organization today.</p>
<h2 id="five-steps-to-building-a-learning-culture">Five Steps to Building a Learning Culture</h2>
<h3 id="make-learning-an-organizational-value">Make Learning an Organizational Value</h3>
<p>Learning cultures are built throughout the entire organization. The process starts with support at the executive level from CEOs. This <a target="_blank" href="https://www.pwc.be/en/FY20/documents/the-future-of-work-event-BO8-upskilling.pdf">PwC survey</a> shows that 80% of CEOs are worried that the key skills their organizations require will not be available. This survey suggests that many executives rely on upskilling within their organizations rather than hiring outside from other industries and competitors. It also argues that executives must restructure performance evaluation to focus more on continuous feedback related to learning and acquired skills.</p>
<p><a target="_blank" href="https://www.researchgate.net/publication/268328210_Psychological_Safety_Trust_and_Learning_in_Organizations_A_Group-level_Lens">Amy Edmondson</a> suggests that learning environments can be developed through what is called “psychological safety.” Employees must feel safe that they will not face negative consequences for taking risks that lead to high-quality learning outcomes.</p>
<h3 id="engage-middle-managers-and-individual-contributors">Engage Middle Managers and Individual Contributors</h3>
<p>Once leadership has made it known that learning is an organizational value, middle managers and individual contributors are in charge of implementing these strategies. Middle managers must work directly with their direct reports on a learning plan that fits their personal and team’s ambitions, and that are aligned with desired business outcomes.</p>
<p>It is very important that middle managers effectively communicate with their employees both on <a target="_blank" href="https://www.gaapdynamics.com/insights/blog/2019/06/25/five-ways-to-nurture-a-learning-culture-in-your-organization/">why learning is a top priority</a> in the organization and how they can improve on their performance for this objective. In a <a target="_blank" href="https://www.datacamp.com/community/blog/learning-development-data-driven-age">panel</a> DataCamp hosted earlier in the year with L&amp;D leaders from Bloomberg and NatWest Group, Marcus Robertson, Global Curriculum Lead at NatWest pointed out that middle managers need to communicate with both direct reports and leadership, argued that teams can only deliver results if they develop their skills.</p>
<p>Moreover, <a target="_blank" href="https://medium.com/@andrew.sherman_ask_coaching/five-ways-to-create-a-learning-culture-in-your-team-6ed0230cf67a">people learn in unique ways</a>. Some people prefer a more direct approach to feedback while others prefer indirect communication styles. Middle managers understand the people who directly report to them the best. They can use this information to effectively provide feedback on employees’ learning and development in their direct reports.</p>
<h3 id="make-learning-resources-accessible">Make Learning Resources Accessible</h3>
<p>Once the organization is built properly for encouraging and providing proper feedback for learning, it is important to develop high-quality resources for learning, specifically for analytics skills. As intelligent, data-driven organizations scale, they are developing learning resources for their employees to help them upskill and keep up with the changing demands for their roles.</p>
<p>For example, <a target="_blank" href="https://medium.com/airbnb-engineering/how-airbnb-democratizes-data-science-with-data-university-3eccc71e073a">Airbnb</a> created “The Data University” to provide over 30 data-skill-related classes to help their employees develop data awareness, data collection, and visualization skills, and to help them understand how to work with data at scale.</p>
<p>Another example is from <a target="_blank" href="https://www.datacamp.com/community/blog/why-data-culture-matters">Allianz Benelux</a>, which leverages a combination of DataCamp courses and other learning resources to scale its own data analytics Academy.  </p>
<h3 id="develop-personalized-learning-paths">Develop Personalized Learning Paths</h3>
<p>Every employee in an organization has unique learning preferences and reasons for learning analytics skills. As resources are created to empower employees to learn new analytics skills, these unique goals need to be considered to make the learning journey more impactful. <a target="_blank" href="https://www.chieflearningofficer.com/2021/04/21/5-ways-to-foster-a-learning-culture/">This article</a> suggests that personalizing learning and development for employees can lead to <a target="_blank" href="https://www.cnbc.com/2019/02/27/94percent-of-employees-would-stay-at-a-company-for-this-one-reason.html">better retention</a>, better productivity, and better customer outcomes.</p>
<p>Within every data analytics, <a target="_blank" href="https://www.datacamp.com/community/blog/eight-personas">there are eight data personas</a> found in every organization. These range from data consumers and leaders in more non-technical roles to data engineers with significantly more technical backgrounds and requirements. Tailoring learning paths to each of these personas is critical to generating valuable results from learning programs.</p>
<h3 id="experiment-with-different-learning-modalities">Experiment with Different Learning Modalities</h3>
<p>Learning and development curriculum should be created with different approaches, including self-led and more traditional instructor-led training.</p>
<p>This approach, known as <a target="_blank" href="https://www.learnupon.com/blog/what-is-blended-learning/">blended learning</a>, allows organizations to reduce costs, vary learning styles to include methods like webinars and gamification, and significantly increase return on investment. An example of blended learning for data science comes from <a target="_blank" href="https://www.datacamp.com/resources/webinars/thrive-in-a-data-driven-age">Sheil Naik</a> from Bloomberg, who leverages a combination DataCamp and in-house live training code-along on Bloomberg data as part of an upskilling program on Python.</p>
<h2 id="building-a-learning-culture-underpins-data-transformation">Building a Learning Culture Underpins Data Transformation</h2>
<p>Upskilling is the only way for organizations to become data fluent. Creating a learning-driven culture within an organization is a high ROI opportunity that leads to better insights and business outcomes. Young employees expect this culture. It is also the only way to meet the high demand for data analytics skills in our digital, data-driven environment.</p>
<p><p><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624651228/schedule_a_demo_bfhlx1.png" /></a></center><p></p>

https://www.datacamp.com/community/blog/five-steps-to-building-a-learning-culture

Creating a learning culture that sustains continuous learning is foundational for the ability to succeed in the digital age.

Five steps to building a learning culture

<p>A good decision-making process finds a balance between decisiveness and due diligence, so conveying information quickly is highly valued in business. This is the essence of visualization—oftentimes in a single graphic, charts quickly show and explain what would otherwise have been thousands of numbers and words. Charts can be created using Business Intelligence tools such as Tableau and Power BI.</p>
<p><center> <img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631201357/power-bi-vs-tableau-1_jvpny9.png"></center></p>
<p><center> <img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631201357/power-bi-vs-tableau-2_gkwa8c.png"></center></p>

<h2 id="power-bi-vs-tableau-similarities">Power BI vs Tableau -  Similarities</h2>
<h3 id="they-are-extremely-popular-">They are extremely popular.</h3>
<p>According to Gartner they are the two main leaders in the business intelligence platforms market. Tableau was introduced in 2003 and grew into one of the most popular BI tools, while Power BI was more recently launched by Microsoft in 2011, and added to Office 365 in 2013.</p>
<p><center> <img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631201357/power-bi-vs-tableau-3_atgfmg.png"></center></p>

<h3 id="they-can-be-used-to-produce-a-variety-of-different-visualizations-">They can be used to produce a variety of different visualizations.</h3>
<p>These can include bar and line charts, treemaps, and geographical maps. On both platforms, you can interact with these visualizations, such as by hovering over them to get more information and applying filters, and they can also be combined to create dashboards.</p>
<p><center> <img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631201357/power-bi-vs-tableau-4_mcpkdu.png"></center></p>

<h3 id="they-can-connect-to-a-variety-of-data-sources-">They can connect to a variety of data sources.</h3>
<p>These include MS Excel, CSV, and JSON, and the paid version of both platforms gives you access to 50+ additional data connectors such as Google Bigquery, Amazon Redsift, and Salesforce. Visualizations are updated if the underlying data changes.</p>
<h3 id="both-are-user-friendly-with-no-coding-involved-">Both are user-friendly with no coding involved.</h3>
<p>This makes them an ideal first set of tools to learn if you are new to data analytics. If you are a business analyst they are two of the main data visualization tools you will need to work with data. They are by no means the only tools you’ll be working with, as the graph below demonstrates. SQL, R, and Python are also valuable tools, and adding one or more to your skill set is extremely valuable.</p>
<p><center> <img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631201357/power-bi-vs-tableau-5_xzmwbq.png"></center></p>

<h3 id="thanks-to-recent-updates-the-two-have-become-more-and-more-similar-">Thanks to recent updates, the two have become more and more similar.</h3>
<p>For example, Power BI used to excel in data preparation, as users have always been able to model, clean, and add calculated columns to datasets through Power Query. However, Tableau has recently made its own inroads on this with the launch of Tableau Prep.</p>
<blockquote>
<p>The first question you should ask when choosing between Power BI and Tableau is: do I need to?</p>
</blockquote>
<p>If you are looking to upskill and enhance your value to potential employers, having a working knowledge of either Power BI or Tableau is great. Additionally, both are available here on DataCamp, and once you learn how to use one, learning how to use the other is simple.</p>
<p><center> <img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631211011/power-bi-vs-tableau-6_gp4fib.png"></center></p>
<p><center> <img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631201358/power-bi-vs-tableau-7_w3n213.png"></center></p>

<h2 id="power-bi-vs-tableau-the-differences">Power BI vs Tableau—The Differences</h2>
<p>However, there are a few points of difference that should be considered, and if you are considering using them within your business it makes sense to choose one or the other.</p>
<h3 id="power-bi-only-works-on-microsoft-windows-">Power BI only works on Microsoft Windows.</h3>
<p>If you will mostly be using a Mac Computer for your work, Tableau would be more useful.</p>
<h3 id="the-range-of-certifications-available-differs-between-tableau-and-power-bi-">The range of certifications available differs between Tableau and Power BI.</h3>
<p>Tableau offers a wider range of options designed for specific professions. You can find out more about these on the <a target="_blank" href="https://www.tableau.com/learn/certification">Tableau website</a> (some will be retired soon, and there is a new Data Analyst certification going live soon, so be sure to check this), and DataCamp also recently put our <a target="_blank" href="https://www.datacamp.com/community/blog/tableau-student-to-certification">Tableau instructors up to the challenge of taking the exam themselves</a>! Costs range from \$100 to \$250.</p>
<p><a target="_blank" href="https://docs.microsoft.com/en-us/learn/certifications/exams/da-100">Power BI</a> has one exam that covers all the main functionalities of the platform and costs \$165 (although at the time of writing they are still offering it for \$15 to students, people on furlough, and other individuals who have been negatively affected by the COVID-19 pandemic).</p>
<h3 id="tableau-s-exam-is-currently-only-available-in-english-">Tableau’s exam is (currently) only available in English.</h3>
<p>Power BI offers its exam in multiple languages, while Tableau currently only offers it in English—although they have said they will be releasing translated versions in the future.</p>
<h3 id="their-ease-of-integration-will-depend-on-what-kind-of-software-you-use-">Their ease of integration will depend on what kind of software you use.</h3>
<p>As Power BI was developed by Microsoft, it will be easier to integrate into your workspace if you use Office software. Likewise, Tableau was recently acquired by Salesforce so they are worth considering thanks to their native integration. However, both are capable of connecting to Excel and Salesforce, so this is more a question of which would run more smoothly.</p>
<p><center> <img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631201358/power-bi-vs-tableau-8_hhpu86.png"></center></p>

<h3 id="there-are-different-pricing-levels-">There are different pricing levels.</h3>
<p>This is where the most differences exist between Power BI and Tableau.</p>
<p><center> <img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1631538320/power-bi-vs-tableau-10_audaop.png"></center></p>

<div class="output_wrapper"><table>
<thead>
<tr>
<th>Name of license</th>
<th>Cost (monthly)</th>
<th>Description</th>
<th>Name of license</th>
<th>Cost (monthly, billed annually)</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td>Power BI Desktop</td>
<td>Free</td>
<td>Allows you to use all basic Power BI functions on your local machine</td>
<td>Tableau Public</td>
<td>Free</td>
<td>Can be used to create visualizations connected to Excel, CSV, and JSON files. All visualizations will be publicly viewable</td>
</tr>
<tr>
<td>Power BI Pro</td>
<td>$9.99 (free if you have Office 365)</td>
<td>Provides access to individual users, and enables them to build their own dashboards and connect to a wide range of data sources.</td>
<td>Tableau Explorer</td>
<td>\$35 on Tableau servers, \$42 online</td>
<td>Allows the holder to build dashboards and visualizations based on a dataset provided by colleagues.</td>
</tr>
<tr>
<td>Power BI Premium (per-user)</td>
<td>$20</td>
<td>Similar to Power BI Pro, but has increased storage capacity, allows you to refresh dashboards more often, and offers some additional features.</td>
<td>Tableau Creator</td>
<td>$70</td>
<td>Provides all Explorer permissions, plus the ability to create connections to data sources. <strong>Recommended for individual users.</strong></td>
</tr>
</tbody>
</table></div>
<p>The licenses above are designed for individual data analysts who are creating dashboards. If your company is interested in rolling out Tableau or Power BI, you will also need to consider viewer licenses:</p>
<div class="output_wrapper"><table>
<thead>
<tr>
<th>Name of license</th>
<th>Cost (monthly)</th>
<th>Description</th>
<th>Name of license</th>
<th>Cost (monthly, billed annually)</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td>Power BI Premium (per-capacity)</td>
<td>From $4,995</td>
<td>An enterprise-specific license that enables viewing access to everyone in your organization, (PBI Pro license is still required to edit dashboards).</td>
<td>Tableau Viewer</td>
<td>\$12 per viewer on Tableau servers, \$15 online</td>
<td>An enterprise-specific license that allows the holder to view dashboards created by colleagues and apply filters. Also offers custom enterprise <a target="_blank" href="https://www.tableau.com/about/contact#contact_enterprise-subscriptions">subscription plans.</a></td>
</tr>
</tbody>
</table></div>
<h3 id="which-is-better-power-bi-or-tableau-">Which is better, Power BI or Tableau?</h3>
<p>There is a lot of overlap between Power BI and Tableau, and ultimately both are useful tools to have. For some users, choosing to learn both can be the best option, however, for those who wish to decide between one or the other, there are differences in cost and accessibility that must be considered.  </p>
<p><em>DataCamp offers courses in both <a target="_blank" href="https://www.datacamp.com/courses/introduction-to-tableau">Tableau</a> and <a target="_blank" href="https://www.datacamp.com/courses/introduction-to-power-bi">Power BI</a>. Our courses enable you to practice with each tool’s interface without any installation involved and cover functions such as connecting data and building dashboards.</em></p>
<h3 id="in-summary">In summary</h3>
<div class="output_wrapper"><table>
<thead>
<tr>
<th></th>
<th>Tableau</th>
<th>Power BI</th>
</tr>
</thead>
<tbody>
<tr>
<td>Market leaders?</td>
<td>✅</td>
<td>✅</td>
</tr>
<tr>
<td>Variety of different visualizations?</td>
<td>✅</td>
<td>✅</td>
</tr>
<tr>
<td>Can connect to various data sources?</td>
<td>✅</td>
<td>✅</td>
</tr>
<tr>
<td>User friendly?</td>
<td>✅</td>
<td>✅</td>
</tr>
<tr>
<td>Type of machine it can work on?</td>
<td>Macs and Windows Computers</td>
<td>Windows Computers only</td>
</tr>
<tr>
<td>Certifications?</td>
<td>Multiple</td>
<td>One</td>
</tr>
<tr>
<td>Easier to integrate with...</td>
<td>Salesforce</td>
<td>Microsoft</td>
</tr>
<tr>
<td>Cost</td>
<td>Varies, but Tableau is generally more expensive</td>
<td>Varies, but Tableau is generally more expensive</td>
</tr>
</tbody>
</table></div>


https://www.datacamp.com/community/blog/power-bi-vs-tableau

Power BI or Tableau? This comparison will help you decide which of these tools to use for your data science and analytics needs.

Power BI vs Tableau: Which one should you choose?

https://www.datacamp.com/community/blog/beyond-the-language-wars-r-python-for-the-modern-data-scientist

In this episode of DataFramed, we speak with Rick Scavetta and Boyan Angelov about their new book, Python and R for the Modern Data Scientist: The Best of Both Worlds, and how it dawns the start of a new bilingual data science community.  

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datacamp

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