https://www.datacamp.com/community/blog/chris-murphy

Chris Murphy studied international business and worked at a Chinese e-commerce startup. He used DataCamp to land a role as a Data Analyst at UMass Medical School.

Learner Spotlight: How I Became a Data Analyst with DataCamp | DataCamp

Learner Spotlight: How I Became a Data Analyst with DataCamp

In the midst of a global economic downturn and record unemployment last summer, we saw an opportunity to help people experiencing unprecedented hardships. We decided to help in the most direct way possible—by donating DataCamp subscriptions to nonprofit organizations that provide communities with free education, job training, and workforce development. Five months later, we’ve surpassed our initial goal of donating 10,000 licenses by partnering with over 35 nonprofits in 24 countries in every continent save for Antarctica. The success stories are pouring in:
<blockquote>
DataCamp has allowed more women to enter the field of technology, learn about data science, and practice their English. With this knowledge, many of us have attained jobs at technology companies. —Sharon Camacho, Co-founder at Data Science FEM
</blockquote>
&quot;Putting together this scholarship has been one of the most fulfilling initiatives for the employees here at DataCamp,” said Weston Stearns, DataCamp’s Head of Talent and Certification. “Our mission is to democratize data science and bring data fluency to the masses. We are getting significantly closer to accomplishing this mission by enabling free access for learners to gain the skills they need to advance their careers.&quot;
The scope of our initiative must evolve in tandem with the growing enthusiasm and need for data fluency. That’s why we’re formally announcing three exciting developments: We’ve officially named this initiative DataCamp Donates, we’ve increased our commitment to 25,000 subscriptions, and we’re expanding the program to scientific research nonprofits, public secondary schools, and social welfare agencies.
<h2 id="the-giveaway-program-is-now-called-datacamp-donates-">The giveaway program is now called “DataCamp Donates”</h2>
“DataCamp Donates” clearly describes exactly what we’re doing—donating thousands of Premium one-year subscriptions (each one normally valued at $399 USD) to nonprofits as well as features typically reserved for our business customers, including 24/7 customer support. This is all in addition to our long-running <a href="http://datacamp.com/groups/education">DataCamp for the Classroom</a> program, which provided free six-month subscriptions to over 170,000 students and professors in 2020 alone.
<h2 id="we-ve-increased-our-commitment-to-25-000-subscriptions">We’ve increased our commitment to 25,000 subscriptions</h2>
We’re matching the purchases of an additional 15,000 DataCamp learners—individuals like you who want to improve data skills while also helping others get a leg up. That brings our total number of committed subscriptions to 25,000. We’re confident we will achieve this goal by the first anniversary of DataCamp Donates in July 2021, if not sooner! We will achieve this by strengthening our preexisting partnerships and forging new ones in other parts of the world. Wherever there’s a need for free data science, analysis, and data engineering education, that’s where we want to be.
<h2 id="datacamp-donates-is-now-available-to-more-types-of-qualified-organizations">DataCamp Donates is now available to more types of qualified organizations</h2>
Since everyone stands to benefit from becoming data fluent, we’re expanding the scope of eligible partners for DataCamp Donates. DataCamp will now donate subscriptions to registered scientific research nonprofits, since research scientists are solving the great problems of our time, like climate change and COVID-19.
We are also seeking to partner with governmental social welfare agencies to support their unemployed citizens in great numbers. We hope to empower these communities with the best knowledge and tools to collect, visualize, and analyze their data for the benefit of their local communities and the world at large.
We&#39;ve long supported university education with free access to DataCamp for the Classroom. Now, we&#39;re expanding access to DataCamp Donates for public secondary schools. Any school administrator, teacher, and their students ages 12-18 are eligible to gain free Premium access. Read on to find out how to apply.
<h2 id="become-a-datacamp-donates-partner">Become a DataCamp Donates Partner</h2>
If you are an administrator or teacher at a nonprofit organization or public school, or an official at a governmental social welfare organization, follow these three easy steps to become a DataCamp Donates partner.
<ul>
<li>First, send an email to <a href="mailto:donate@datacamp.com">donate@datacamp.com</a> that details your organization’s goals and how you intend to use the donated subscriptions. Our team reads every email and responds to the organizations that will help us make a significant impact.</li>
<li>Next, qualified organizations will be invited to complete an official application form.</li>
<li>If chosen, the final step is a meeting conducted on Zoom to finalize the terms of the partnership. We then donate the licenses to our new partner organization within a week.</li>
</ul>

<center><a href="mailto:donate@datacamp.com"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1611155669/DCD_oqgmld.png" /></a> 
<h2 id="partners-of-datacamp-donates">Partners of DataCamp Donates</h2>
DataCamp Donates would not be a success without you: our learners and our partners. Thank you for sending us your insight and encouragement, and for spreading the word about our initiative on your social networks. We could not have been able to donate so many subscriptions without individuals and organizations reaching out to us directly. Stay tuned to this blog for more posts spotlighting partners like <a href="https://www.datacamp.com/community/blog/data-science-nigeria">Data Science Nigeria</a> and <a href="https://www.datacamp.com/community/blog/datau">DataU</a> and inspiring success stories <a href="https://www.datacamp.com/community/blog/felix-ayoola">like this one</a>.
You can also help us spread the word and find more partners by reaching out to us on social media @DataCamp and use the hashtag #DataCampDonates.
<a href="https://support.datacamp.com/hc/en-us/articles/360051596574">View our full list of partners</a>, including their websites, the reach of DataCamp Donates by country, and an FAQ about the specific terms of the program. A massive thanks to all of our partners for helping us achieve our goal of democratizing data science education.
<center><a href="https://support.datacamp.com/hc/en-us/articles/360051596574#h_01EWE28C4T0FH74K12D84G5JS2"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1611588898/DCD_partners_logos_2021-1-25_dssadd.png" /></a>

https://www.datacamp.com/community/blog/datacamp-donates

Nonprofits, public schools, and social welfare organizations are now eligible to receive free hands-on data education through DataCamp Donates.

Donating 25,000 DataCamp Subscriptions to Organizations  Around the World

<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> 
Data engineering continues to be a top priority for enterprises, and in 2021, there will be exciting developments in the data infrastructure space. In a <a href="https://www.datacamp.com/resources/webinars/operationalizing-data-within-large-organizations">recent webinar</a>, Maksim Percherskiy, Data Engineer at The World Bank and former Chief Data Officer of the City of San Diego, highlighted three trends to watch out for in particular: data orchestration platforms, data discovery engines, and data lakehouses.
<h2 id="data-orchestration-platforms">Data orchestration platforms</h2>
Although orchestration platforms have been around for many years to manage computer systems and software, <a href="https://dzone.com/articles/data-orchestration-its-open-source-but-what-is-it">data orchestration</a> is a relatively new concept that abstracts data access across storage systems, virtualizes data, and presents data to data-driven applications. Data orchestration platforms help companies become more data-driven by combining siloed data from multiple data storage locations and making them usable. Examples include <a href="https://airflow.apache.org/">Apache Airflow</a>, <a href="https://www.prefect.io/">Prefect</a>, <a href="https://luigi.readthedocs.io/en/stable/">Luigi</a>, and <a href="https://www.stitchdata.com/">Stitch</a>, which are compatible with modern software approaches like version control, DevOps, and continuous integration.
DataCamp’s course <a href="https://www.datacamp.com/courses/introduction-to-airflow-in-python">Introduction to Airflow in Python</a> is a great place to start to learn how to implement and schedule ETL and data engineering workflows in an easy and repeatable way.
<h2 id="data-discovery-engines">Data discovery engines</h2>
It makes sense that as data increases, companies will invest more time in enabling their teams to find the data they need, document it, and reduce rework. Data discovery engines like <a href="https://eng.lyft.com/amundsen-lyfts-data-discovery-metadata-engine-62d27254fbb9?gi=a4af847eb7fe">Lyft’s Amundsen</a> and <a href="https://eng.uber.com/databook/">Uber’s Databook</a> aim to improve the productivity of data users by providing a search interface for data. These tools rely on metadata, which support productivity and compliance by allowing data infrastructure to scale as companies grow. The goal of data discovery is to make data more FAIR: findable, accessible, interoperable, and reusable.
<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610377093/datadiscoveryengines_pi2uj7.png" /></a> 
<h2 id="data-lakehouse">Data lakehouse</h2>
There are different use cases for <a href="https://www.datacamp.com/community/blog/data-lakes-vs-data-warehouses">data lakes versus data warehouses</a>. Each is designed for different purposes and for different end users. For example, data warehouses are typically used by analysts for the purpose of collecting business intelligence—they contain flat files that have been explicitly processed for their work. On the other hand, data lakes are set up and maintained by data engineers who integrate them into data pipelines. Data scientists work more closely with data lakes as they contain data of a wider and more current scope.
Data lakehouses are exactly what they sound like: a combination of data lakes and data warehouses. Companies like <a href="https://delta.io/">Delta Lake</a> and <a href="https://www.snowflake.com/guides/what-data-lakehouse">Snowflake</a> have created solutions to provide a single source of truth for data that combines the benefits of data lakes and data warehouses. Data lakehouses implement data warehouses’ data structures and management features for data lakes, which are typically more cost-effective for data storage. At the same time, they retain the schema and versioning of the data. With data lakehouses, data scientists will be able to conduct both machine learning and business intelligence.
<center><a href="https://databricks.com/blog/2020/01/30/what-is-a-data-lakehouse.html"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610377091/datalakehouse_dv35im.png" /></a>
<h5 id="source-databricks-https-databricks-com-blog-2020-01-30-what-is-a-data-lakehouse-html-">Source: <a href="https://databricks.com/blog/2020/01/30/what-is-a-data-lakehouse.html">Databricks</a></h5>
All three of these trends will be crucial for enterprises to scale data infrastructure in 2021. They’re useful for companies that were built around data as well as for those that are struggling to sustainably integrate data in their workflows. <a href="https://www.datacamp.com/community/blog/data-driven-enterprise">Find out more</a> about the challenges large companies face to operationalize their data and become data-driven.
<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>

https://www.datacamp.com/community/blog/data-infrastructure-trends

Get your data engineering function ahead of the curve with orchestration platforms, data discovery engines, and data lakehouses.

Top 3 Trends in Data Infrastructure for 2021 | DataCamp

Top 3 Trends in Data Infrastructure for 2021

<center><a href="https://www.datacamp.com/tracks/tableau-fundamentals"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610375720/TableauCTA_v2qbt7.png" /></a></center> 

Tableau is a business intelligence (BI) platform that functions like a supercharged Microsoft Excel. Its user-friendly, drag-and-drop functionality makes it possible for anyone who interacts with data to analyze and create presentation-ready visualizations—from data newbies to analysts, and even business leaders. You definitely don’t need to be a seasoned data scientist to use Tableau!

<h2>Which companies use Tableau?</h2>
Tableau’s roster of customers is a who’s who of the business world, including well-known brands such as Amazon, Experian, and Unilever. But it’s not just global giants using Tableau to democratize their data—over <a href="https://techcrunch.com/2019/06/10/salesforce-is-buying-data-visualization-company-tableau-for-15-7b-in-all-stock-deal/">86,000 businesses</a> are using Tableau to extract and share insights from their data.

<h2>Certification overview</h2>

<center><CALLOUT BOX>
<a href="https://www.tableau.com/learn/certification/desktop-specialist">Tableau Desktop Specialist</a> 
Fee: $100 
Title valid for: No expiration 
</CALLOUT BOX></center> 


Tableau recommends that you have at least three months’ product experience before taking the Desktop Specialist exam. If you don’t yet have this experience, DataCamp recommends that you prepare for the exam by completing our online <a href="https://www.datacamp.com/tracks/tableau-fundamentals">Tableau Fundamentals</a> skill track.

The exam lasts 60 minutes and consists of 30 questions, including multiple—choice questions and hands—on excersices where you must use Tableau to connect data sources and create visualizations. The exam will take place on GoToMeeting or Zoom, and you will be asked to set up your workspace using Google Chrome and confirm that your connection speed meets Tableau’s requirements. Additionally, you will be required to:

<ul>
<li>Present photo identification to the exam proctor via webcam</li>
<li>Close programs, tabs, and remove any paperwork that may help during your exam</li>
<li>Demonstrate to the proctor that you are alone in your room via webcam</li>
<li>Agree to being monitored via webcam for the duration of the exam</li>
</ul>

<a href="https://mkt.tableau.com/files/Tableau-Certification-4-steps-to-exam-success.pdf">View the full exam setup requirements</a>

Just like the Tableau learning experience <a href="https://www.datacamp.com/tracks/tableau-fundamentals">on DataCamp</a>, the exam is completed using a Windows virtual machine that has Tableau Desktop installed—this may involve a certain amount of toggling between the question and virtual desktop screens which may result in a slightly smaller screen size than you may be used to. It’s also worth noting that you may not have any other windows or programs open for the duration of the test other than those required for the assessment—just like exams in school, you can’t have any notes hidden in your calculator sleeve. The exam is scored automatically and a passing score of 70% or more is required to obtain your certification.

You can register and book your exam on the <a href="https://www.tableau.com/learn/certification/desktop-specialist">Tableau Product Certification Exam center</a>, managed by Loyalist Exam Services (LES). You can also reschedule your exam using this site.

<h2>Training Resources</h2>
At DataCamp, all our instructor-led courses are fully interactive, with no installation or prior experience required. You will also receive a statement of accomplishment which you can also share on your LinkedIn profile upon completion. Please note that DataCamp’s statement of accomplishment is not the same as the Tableau Desktop Specialist certification:

<a href="https://www.datacamp.com/tracks/tableau-fundamentals">Tableau Fundamentals</a>: 14 hours. 4 Courses
Gain the essential skills you need to confidently use Tableau and prepare to pass the Tableau Desktop Specialist certification. No prior experience required.

<ul>
<li><a href="https://www.datacamp.com/courses/introduction-to-tableau">Introduction to Tableau</a>: 4 hours 
Learn how to use Tableau’s user-friendly drag-and-drop functionality to quickly clean, analyze, and visualize your team’s data.</li>
<li><a href="https://datacamp.com/courses/analyzing-data-in-tableau">Analyzing data in Tableau</a>: 4 hours 
Create detail-rich map visualizations, configure date and time fields to show trends over time, and extend your data using Calculated Fields.</li>
<li><a href="https://datacamp.com/courses/creating-dashboards-in-tableau">Creating Dashboards in Tableau</a>: 4 hours 
Apply dashboard best practices, add interactive or explanatory elements, and use actions to make your dashboard fully interactive.</li>
<li><a href="https://www.datacamp.com/courses/connecting-data-in-tableau">Connecting Data in Tableau</a>: 4 hours 
Discover how to connect Tableau to different data sources and prepare the data for a smooth analysis.</li>
</ul>

Tableau also provides an excellent choice of learning resources you can use to prepare for the exam:

<ul>
<li><a href="https://www.tableau.com/learn/training/20204">Tableau Training Videos</a></li>
<li><a href="https://mkt.tableau.com/files/DesktopSpecialist_ExamGuide.pdf">Desktop Specialist Exam Prep Guide (PDF)</a></li>
<li><a href="https://community.tableau.com/s/explore-forums?_ga=2.195627941.886887347.1610106578-1596736181.1607685378">Tableau community forums</a> and <a href="https://community.tableau.com/s/groups?_ga=2.195627941.886887347.1610106578-1596736181.1607685378">user groups</a></li>
</ul>

Found this article useful? If so please share on <a href="https://www.linkedin.com/company/datacampinc/">LinkedIn</a>, <a href="https://twitter.com/DataCamp">Twitter</a>, or <a href="https://www.facebook.com/datacampinc/">Facebook</a>.

 <center><a href="https://www.datacamp.com/tracks/tableau-fundamentals"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610375720/TableauCTA_v2qbt7.png" /></a></center>

https://www.datacamp.com/community/blog/Tableau-desktop-specialist-certification

Add Tableau to your data analyst skill set. Learn to use this BI platform and pass the Desktop Specialist Certification exam with DataCamp.

Pass Tableau’s Desktop Specialist Certification | DataCamp

Tableau Desktop Specialist Certification: Learn How to Use Tableau and Ace the Exam

In a year marked by world-altering events, DataCamp learners have found ways to double down and invest in themselves by building data fluency. Below are some of the milestones we’ve reached together this year—click the image to download the PDF.
Many thanks to the entire #DataCampCommunity for your support this year. We encourage you to join the <a href="https://support.datacamp.com/hc/en-us/articles/360001915993-The-DataCamp-Slack-Community-An-Overview">DataCamp Slack Community</a> to get plugged in with other learners in 2021.
<center><a href="https://s3.amazonaws.com/assets.datacamp.com/email/other/DataCamp+2020+by+the+numbers.pdf"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1609947989/DataCamp_2020_by_the_numbers_ewpxzf.png" /></a>

https://www.datacamp.com/community/blog/2020-year-in-review

Discover DataCamp’s major milestones from the past 12 months and review our top five tracks, assessments, and much more.

DataCamp’s 2020 Year in Review [Infographic] 

One of the best ways to stand out on LinkedIn is to use a custom LinkedIn cover image. The majority of LinkedIn users stick with the default LinkedIn cover image, which is a big missed opportunity. It’s easy to inject some personality into your profile and set yourself apart with an image that showcases your professional identity or aspirations.
That’s why we’ve created custom LinkedIn cover images for some of the most common data roles and identities. This is what mine looks like as a reference:
<center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040765/LinkedIn_Cover_Sample_lr6uj2.png"/> 
If you’d like to update your LinkedIn profile like mine, just click the description below that best matches your identity to download the cover image:
<ul>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040100/Linkedin_Cover_-_Data_Enthusiast_qgfd0z.png">Data Enthusiast</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040676/Linkedin_Cover_-_Data_Analyst_cb4umx.png">Data Analyst</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040100/Linkedin_Cover_-_Data_Engineer_enf4cd.png">Data Engineer</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040100/Linkedin_Cover_-_Data_Professional_vowtyw.png">Data Professional</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040100/Linkedin_Cover_-_Data_Architect_vomzkz.png">Data Architect</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040553/Linkedin_Cover_-_Business_Intelligence_Analyst_pwivdt.png">Business Intelligence Analyst</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610380543/Linkedin_Cover_-_Quantitative_Analyst_zkq29v.png">Quantitative Analyst</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610039229/Linkedin_Cover_-_Database_Administrator_virz8n.png">Database Administrator</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610039227/Linkedin_Cover_-_Machine_Learning_Engineer_nv0ytj.png">Machine Learning Engineer</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610039224/Linkedin_Cover_-_Machine_Learning_Scientist_dwrdkl.png">Machine Learning Scientist</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040100/Linkedin_Cover_-_Data_Scientist_py4mog.png">Data Scientist</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040100/Linkedin_Cover_-_Data_Architect_vomzkz.png">Data Architect</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040550/Linkedin_Cover_-_Statistician_wlxcwh.png">Statistician</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040551/Linkedin_Cover_-_Business_Analyst_typawx.png">Business Analyst</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040100/Linkedin_Cover_-_Data_and_Analytics_Manager_i4ozqa.png">Data and Analytics Manager</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610039231/Linkedin_Cover_-_Data_Storyteller_ygvafx.png">Data Storyteller</a></li>
<li><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1610040101/Linkedin_Cover_-_Data-Driven_t1tqsx.png">Data-Driven</a></li>
</ul>

To add the image as your cover image on LinkedIn:
<ul>
<li>Click the Me icon at the top of your LinkedIn homepage.</li>
<li>Click View profile.</li>
<li>Click the Camera icon on the top right corner of your introduction card.</li>
<li>Click Upload photo to select an image from your computer, and click Open.</li>
<li>Click Apply. The photo will upload automatically. There’s no need to reposition the image.</li>
</ul>

For additional assistance, view the <a href="https://www.linkedin.com/help/linkedin/answer/49960/add-or-change-the-background-photo-on-your-profile?lang=en">LinkedIn help article</a>.
Let us know what you think about these banners on <a href="https://www.linkedin.com/company/datacampinc/">LinkedIn</a>, <a href="https://twitter.com/DataCamp">Twitter</a>, <a href="https://www.facebook.com/datacampinc/">Facebook</a>, or <a href="https://www.instagram.com/datacamp/">Instagram</a>! We hope this will be a fun way for you to express your love of data.

https://www.datacamp.com/community/blog/linkedin-covers

Is your New Year’s resolution to land a data role or get to the next level in your career? Tell the world that you’re a data enthusiast by updating your LinkedIn cover image.

New Year, New LinkedIn Cover Image

Last August, DataCamp’s VP of Product Research, Ramnath Vaidyanathan, hosted a <a href="https://www.datacamp.com/resources/webinars/scaling-data-science-at-your-organization-part-1">three-part webinar series</a> on scaling data science with our IPTOP framework. The IPTOP framework breaks down every organizational lever to democratize data science and become data fluent organization-wide.
IPTOP stands for Infrastructure, People, Tools, Organization, and Processes. The three-part webinar series goes into great detail on how organizations can scale each of these levers to democratize data science and become data fluent in the process. Here’s a breakdown of each of those levers:
<center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1608306088/Demand_Gen_Themes_2021_eebx0u.png" /></a>
<h2 id="1-infrastructure">1 - Infrastructure</h2>
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. As such, this involves understanding best practices and frameworks for enabling data access, ensuring data governance, clarifying data lineage, and more.
<h2 id="2-people">2 - People</h2>
People are arguably the most critical lever in the framework, as organizations won’t make the most of their data if their members don’t have the skills to work with data. This is why cultivating the necessary data skills <a href="https://www.datacamp.com/resources/webinars/l-and-d-leaders-data-fluency">across every persona</a> in an organization is imperative for democratizing data science and becoming data fluent.
<h2 id="3-tools">3 - Tools</h2>
While infrastructure enables organizations to deliver insights from data, tools facilitate and incentivize a common data language across the organization. This is why it’s necessary to understand the range of possible tools that can be used for a specific task and invest and build tools that lower the barrier to entry for data science work.
<h2 id="4-organization">4 - Organization</h2>
An essential dimension of scaling data science is how data professionals are organized. Given that reporting structures and agendas drive work in most firms, the organizational structure must set up your company for sustainable success. As such, setting up and organizing data science talent within an organization requires careful consideration.
<h2 id="5-processes">5 - Processes</h2>
Finally, scaling data science 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 work together and seamlessly communicate under a common data language.
Last week, we released our <a href="https://www.datacamp.com/resources/whitepapers/data-trends-and-predictions-2021">data trends and predictions for 2021</a>. Our predictions touch upon every lever in the IPTOP framework, from enabling more robust data access through increased cloud adoption and metadata tools (Infrastructure), a higher commitment to data upskilling (People), more collaborative and robust tooling (Tools), emergent roles for managing machine learning models in operation (Organization), and finally, best practices in data storytelling and visualization (Processes).
This is why we’re excited to renew our commitment to bringing the latest and most important insights from data science practitioners and leaders on how to best scale data science and become data fluent.
In 2021, we’ll be hosting a series of monthly webinars tackling how different industries can leverage data science, how organizations can govern their data and enable better data access, best practices to upskill people for data science, how to lower the barrier to entry to working with data with modern tooling, how to organize and hire the best data science talent, and how to set up processes to become data-driven, and more.
Keep an eye on our <a href="https://www.datacamp.com/webinars">Upcoming Events</a> page to stay in the loop—see you in 2021!

https://www.datacamp.com/community/blog/data-fluency-2021

DataCamp is hosting a monthly webinar in series in 2021 focused on scaling data science and building organization-wide data fluency with our IPTOP Framework.

Data Fluency in 2021

The past year has been tumultuous, with many lessons still being revealed today. The Covid-19 crisis has accelerated digital transformation, forcing incumbent organizations to digitize their processes, modernize their business models, enable data access, and upskill their workforce for a data-driven age (<a href="https://www.youtube.com/watch?v=FoIOFEp2HiY">Microsoft</a>). Digital, data-driven organizations like Zoom, Amazon, and PayPal benefited from the new normal (<a href="https://www.ft.com/content/844ed28c-8074-4856-bde0-20f3bf4cd8f0">Financial Times</a>) and solidified their places as leaders in their respective markets. The Covid-19 crisis has also proven the need for everyone to be data-fluent, informed citizens (<a href="https://www.dataversity.net/the-dangers-of-data-illiteracy-coronavirus-and-data-distortions/">Dataversity</a>), as data can be used to inform and misinform us on the state of the pandemic.
This year, we stand on the precipice of a great acceleration. Organizations across the world are looking to increase their digital resilience, and become more data-driven in the process. The data science revolution has always made the impossible possible. With data science methodologies and technologies, specialized teams have worked on solving important problems like self-driving cars, algorithmic trading programs, and protein folding. However, the real data science revolution <a href="https://www.datacamp.com/resources/webinars/scaling-data-science-at-your-organization-part-1">makes the possible widespread</a>, where everyone in an organization can understand data, communicate insights from that data, and make more informed decisions with data. It’s about creating data fluent organizations and societies, where everyone is equipped with the necessary skills they need to be informed, citizens, and employees.
Over the next year and beyond, we will see better tooling across the spectrum of data fluency, higher emphasis on skills, and richer, easier access to data across the organization.
<center><a href="https://www.datacamp.com/resources/whitepapers/data-trends-and-predictions-2021"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1608132378/2021_trends_CTA_gb5log.png" /></a> 
<center><a href="https://s3.amazonaws.com/assets.datacamp.com/email/other/Data+Trends+2021_+The+Year+of+Data+Fluency.pdf"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1608133443/Data_Trends_2021__The_Year_of_Data_Fluency_mhcmlb.pdf" /></a> 
If you want to dive deeper into our trends for 2021, download our white paper.
<center><a href="https://www.datacamp.com/resources/whitepapers/data-trends-and-predictions-2021"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1608132378/2021_trends_CTA_gb5log.png" /></a>

https://www.datacamp.com/community/blog/2021-data-trends

In 2021 and beyond, we’ll see better tooling across the spectrum of data fluency, higher emphasis on skills, and greater access to data across organizations.

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