<p>DataCamp Donates is nearing our goal of donating 25,000 subscriptions to people in need. We have been delighted to receive requests from nonprofit organizations around the world that are doing the commendable work of making their communities more data literate. In fact, our number of partners almost doubled in the first quarter of 2021.</p>
<br><center><a target="_blank" href="https://support.datacamp.com/hc/en-us/articles/360051596574-DataCamp-Donates-Frequently-Asked-Questions&amp;sa=D&amp;source=editors&amp;ust=1619544968344000&amp;usg=AOvVaw2K2BwThE-Qi2tsOaW8-DFf"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1619627737/DataCamp_Donates_Update_Q1_2021_lyvjb0.jpg" /></a></center><br>
<p>It has also been extremely heartwarming to see the outpouring of support for DataCamp Donates from the #DataCampCommunity across social media. We are especially grateful for the over 12,000 people who have watched our very special panel discussion <a target="_blank" href="https://www.datacamp.com/community/blog/datacamp-donates-panel">Changing Lives Around the World with DataCamp Donates</a>, and we look forward to hosting more live broadcasts to showcase the inspiring work our partners are doing to educate their communities and help them get jobs in science, technology, engineering, and mathematics (STEM).</p>
<p>In our last update, we projected to hit our goal of 25,000 subscriptions donated by July, but now it looks like we will achieve that goal considerably sooner. If your organization hasn’t applied to become a DataCamp Donates partner yet, what are you waiting for? Apply now before they’re all gone!</p>
<h2 id="become-a-datacamp-donates-partner">Become a DataCamp Donates Partner</h2>
<p>If you work for a nonprofit organization or governmental social welfare institution, follow these three easy steps to become a DataCamp Donates partner.</p>
<ol>
<li>First, send an email to <a href="mailto:donate@datacamp.com?subject=DataCamp Donates application&amp;body=Please include details of your organization’s goals and how you intend to use the donated subscriptions. Thank you, The DataCamp Donates team.">donate@datacamp.com</a> that details your organization’s goals and how you intend to use the donated subscriptions. Our team reads every email.</li>
<li>Next, qualified organizations will be invited to complete an official application form.</li>
<li>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 <strong>within 2-4 weeks</strong>.</li>
</ol>
<center><a href="mailto:donate@datacamp.com?subject=DataCamp Donates application&amp;body=Please include details of your organization’s goals and how you intend to use the donated subscriptions. Thank you, The DataCamp Donates team."><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1619625650/image_33_zfsqve.png" /></a></center>
<h2 id="datacamp-for-classrooms-is-getting-a-special-update-">DataCamp for Classrooms is getting a special update...</h2>
<p>In Q1 alone, we gave six-month DataCamp scholarships to 60,000 teachers and students in colleges and universities around the world with our DataCamp for Classrooms program, the most of any quarter since its inception. We want to thank our global teaching community by making it even easier for more teachers and students of different backgrounds and skill levels to start learning on DataCamp (you guessed it) for free. Stay tuned to this blog space for news about the next great chapter of DataCamp for Classrooms!</p>


https://www.datacamp.com/community/blog/datacamp-donates-q1-2021

Your DataCamp subscription is powering more good causes around the world every day. 

DataCamp Donates Q1 2021 Update

<p>The ability to tell a high-quality story about an analysis or model is a key driver for adopting the solutions data scientists develop. In a <a target="_blank" href="https://www.datacamp.com/resources/webinars/storytelling-for-impactful-data-science">recent webinar</a>, Gert De Geyter, machine learning lead at Deloitte and Bhavya Dwivedi, data scientist at Deloitte discuss the importance of storytelling for data science and how to do it effectively.</p>
<h2 id="storytelling-enables-more-impactful-data-science">Storytelling Enables More Impactful Data Science</h2>
<p>Data scientists investigate, analyze, and communicate data insights in the form of descriptive, predictive, and prescriptive analytics. Broadly, there are four competency areas to become an effective data scientist:</p>
<ol>
<li>Data analysis</li>
<li>Machine learning and statistics</li>
<li>Big data technologies</li>
<li>Storytelling and communication</li>
</ol>
<p>Data scientists with formal education are heavily exposed to the first three but do not receive much education in communicating effectively. In the webinar, Gert mentions that by running  rough analysis over data science and AI conferences, just 1% of <a target="_blank" href="https://www.kdnuggets.com/meetings/index.html">data science and AI conferences</a> from 2018 to 2020 discussed storytelling.</p>
<br><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1619470444/image_27_ag7gzi.png" /></center><br>

<p>Despite this underrepresentation of data science storytelling in education, data scientists must learn these skills if they want to become effective in their careers. In <a target="_blank" href="https://hbr.org/2019/07/building-the-ai-powered-organization">Building the AI-Powered Organization</a>, researchers found that 89% of companies with successful A.I. implementations that participated in their survey spent more than half of their analytics budgets on adoption activities, which included communication and training.</p>

<p>Data literacy plays an important part in aligning data science with non-technical stakeholders. This explains why organizations are spending so much on communication and training. <a target="_blank" href="https://www.accenture.com/us-en/insights/artificial-intelligence-summary-index">Accenture found</a> that 84% of business executives believe A.I. is required to achieve growth objectives. However, many executives do not have formal education in this field, further increasing the need for improved data literacy and effective communication throughout the organization.</p>
<p>As AI becomes increasingly more prevalent, understanding data and communicating it correctly to the audience is essential to driving value in business settings with technical and non-technical stakeholders. Accurately describing the potential for A.I. to drive business outcomes in a specific context is crucial to allow stakeholders to make correct decisions that lead to positive business outcomes. A very common pitfall is to exaggerate its potential.</p>

<p>Communication is necessary for scaling the impact of data science in an organization—as end-user acceptance and alignment between executives and data teams are essential. The most effective form of this is storytelling. Storytelling helps the audience connect with the presenter and remember the content. This connection is supported by <a target="_blank" href="https://www.pnas.org/content/107/32/14425">neural coupling theory</a>. Stories also play an important role in how we remember the past—through effective storytelling, we help the audience connect with us as a presenter and remember the important content, which leads to a better understanding of how a model or analysis can impact the organization.</p>

<h2>Understand Your Audience</h2>
<p>The first step to effective storytelling is understanding the audience. A great story needs to be accessible to the people you are communicating with. A strong understanding of the audience’s data fluency, goals for the organization, and relationship to you and the organization should be heavily integrated into the story.</p>

<br><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1619470444/image_28_pcjftt.png" /></center><br>

<p>Answers to these questions will help inform how to best tell a story that drives the intended outcomes from the presentation. They help us as presenters know what to emphasize, how to communicate so that the audience understands the content, and what types of information will help lead to the desired outcome based on what motivates the audience in making decisions. When the audience is very broad, it’s important to identify the specific people in the audience the presentation is intended to reach.</p>

<p>Understanding the audience helps inform the order in which the story is told. There are three key parts of effective storytelling with data:</p>
<ol>
<li>The goal and message,</li>
<li>Context and</li>
<li>Arguments, and flow.</li>
</ol>
<p>Generally, technical stakeholders prefer the story to be told starting with the arguments and ending with the conclusion. Decision-makers prefer the message to start with the recommendation or conclusion and end with the arguments and support.</p>
<h2>Make the Story Transparent and Actionable</h2>
<p>Understanding what story is being told is also important. <a target="_blank" href="https://www.ibm.com/blogs/research/2019/08/ai-explainability-360/">IBM found</a> that 68% of business leaders think that customers will want improved explanations from A.I. in the next three years. Ease of explanation is heavily impacted by the decision to use a black box or white box model.</p>

<br><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1619470444/image_29_xzd5te.png" /></center><br>

<p>Black box models typically perform better but are significantly (if not impossibly) harder to interpret. White box models are simpler and typically do not perform as well but are a lot easier to explain. When possible, using white box models will lead to better stories. However, some high-dimensional problems are not possible to accurately model using white box techniques. Thus, the business context is important in making this decision.</p>

<p>Accurately describing what a model’s output represents is also very important. Many models describe correlative associations between the response and predictors, not causal. Describing this distinction to non-technical stakeholders is critical to making the correct data-driven decision that will create value for an organization. A model’s prediction does not represent the best possible business decision and this needs to be included in an effective story. If there is a causal relationship, this must be accurately portrayed as well.</p>

<h2>How to Tell an Effective Story</h2>
<p>Now that we understand the key considerations about the audience and content of the story, we can effectively tell the story. While there are entire books on this topic, we will cover the basics in this section.</p>

<p>The first thing to consider is what format the presentation will be in: written or live presentation.  Written presentations give the presenter less control over how the audience perceives the information while presenters in a live demonstration can point the audience in the intended direction verbally. Understanding how people’s attention typically works clarifies the best placement for content on the page to guide the intended experience.</p>

<br><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1619470444/image_30_wzrxm0.png" /></center><br>

<p>In Cole Nussbaumer’s book, <a target="_blank" href="https://www.storytellingwithdata.com/">Storytelling with data</a>, she emphasizes the importance of minimalism in visualizations. Removing the background and unnecessary labels and using color for emphasis help us tell significantly clearer stories by directing our audience’s attention to what matters. As we see in the below example from her book, by improving the default excel graph (on the left), we immediately understand that after two employees quit, the organization was receiving more volume than it could process. This story helps HR understand that two more employees need to be hired and the exact reason for this. This visualization tells a powerful story that helps drive a data-driven business decision with very little cognitive effort for the decision-maker.</p>

<br><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1619470444/image_31_gmakuq.png" /></center><br>

<p>This is a powerful example that demonstrates what good storytelling looks like. We can significantly change the way someone approaches our visualization through color, annotations, and graph selection.</p>

<h2>Make Data Science Accessible in Organizations</h2>
<p>We see through many large-scale executive surveys how much emphasis organizations are placing on data science and artificial intelligence as soon as possible. Making these systems accessible begins with improved data literacy in organizations. Data literacy allows non-technical stakeholders to easily access and make data-driven decisions that create value. The most effective way to present this type of information is through stories that take the audience and context into account while making design decisions that attract attention to the correct places.  If you want to dive deeper into best practices for effective storytelling for data science, make sure to watch the <a target="_blank" href="https://www.datacamp.com/resources/webinars/storytelling-for-impactful-data-science">full webinar</a> recording.</p>

<br><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/v1603718763/banner_style_1_cruuf7.png" /></a></center>


https://www.datacamp.com/community/blog/storytelling-for-more-impactful-data-science

The ability to tell a high-quality story about data insights is hugely important for data scientists to thrive in an organization.  Find out how to leverage storytelling to scale the impact of data science in your organization.

Storytelling for More Impactful Data Science

<p><center><a target="_blank" href="https://www.datacamp.com/freeweek"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1618433899/1200x628_3_ae6zlb.png" /></a></p>
<p>The past year has been incredibly difficult, and that’s a big understatement. But one of the silver linings is the shift to digital work—and that includes online training and education.</p>
<p>To accelerate their digital transformation, many organizations have started using <a target="_blank" href="https://www.datacamp.com/groups/business">DataCamp for Business</a> to improve data literacy across teams. Individuals who have been laid off from their jobs due to COVID have used their skills learned on DataCamp <a target="_blank" href="https://www.datacamp.com/community/blog/patrick">to land new jobs</a> in data science and analytics. Through <a target="_blank" href="https://www.datacamp.com/community/blog/datacamp-donates">DataCamp Donates</a>, our partner communities have allocated free DataCamp subscriptions to learners in over 60 countries. And many schools and universities have used <a target="_blank" href="https://www.datacamp.com/groups/classrooms">DataCamp for Classrooms</a> to supplement their online education programs at no cost.</p>
<p>DataCamp’s mission is data democratization. That’s why from April 22 to 30, we’re hosting a Free Week, opening up access to our entire platform to anyone and everyone who wants to try DataCamp for free. (The first chapter of all of our courses is <strong><em>always</em></strong> free.) You can take as many <a target="_blank" href="https://www.datacamp.com/courses">courses</a>, <a target="_blank" href="https://www.datacamp.com/projects">projects</a>, and <a target="_blank" href="http://datacamp.com/signal">assessments</a> as you want—and we won’t even ask for your credit card number. There’s no catch. All you need is an email address to get started.</p>
<p><center><a target="_blank" href="https://www.datacamp.com/freeweek"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1618491425/stats_ixzrfk.png" /></a><br></p>
<p>Our first Free Week was <a target="_blank" href="https://www.datacamp.com/community/blog/free-week">last May</a>, and we hosted another one in <a target="_blank" href="https://www.datacamp.com/community/blog/free-week-2">September</a>. We saw hundreds of thousands of learners join us to learn new skills to further their careers. Are you ready to take ownership of your future? Sign up for unlimited access to DataCamp from April 22 to 30 at <a target="_blank" href="datacamp.com/freeweek">datacamp.com/freeweek</a>.</p>
<p><center><a target="_blank" href="https://www.datacamp.com/freeweek"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1618433907/freeweek-banner_w6rhgq.png" /></a></p>

https://www.datacamp.com/community/blog/free-week-apr-2021

It’s Free Week on DataCamp. Join us and get a taste of what DataCamp has to offer.

Get Free Access to DataCamp Through April 30th

<p>What is a datathon? Similar to hackathons, a datathon is an event where participants gather to solve practical problems through the application of data science tools and techniques, by working together in teams to generate insights and potential solutions.</p>
<h2 id="the-benefits-of-a-datathon">The benefits of a datathon</h2>
<p>With the world transforming into a digital one, the idea of a datathon is fast becoming mainstream. The benefits of a datathon, whether organized by a company or by a volunteer group, are extensive.</p>
<p><span style="text-decoration:underline">Encourages teamwork:</span> These events create a special sense of purpose to achieve something greater collectively, drawing out creativity and new perspectives that often emerge when working intensely in a time-bound setting.</p>
<p><span style="text-decoration:underline">Fosters collaboration:</span> In a traditional hierarchical structure, decision-making is based on positional authority. In a horizontal setting, decision-making is based on competence and value contribution, attributes commonly found in high-performing teams. This structure also promotes transparency and candor, requiring team members to exhibit a higher degree of emotional intelligence. More time is devoted to issue identification and less on worrying about being “kept in the loop”. Teams tend to be more autonomous, depending on one another to carry through on commitments. A fluid environment is created where ideas are shared openly and the steps taken to test an idea happen quickly. Some ideas “fail quickly” to produce valuable learnings, while other ideas proceed to the next phase of viability.</p>
<p><span style="text-decoration:underline">Promotes innovation:</span> A traditional corporate culture, particularly that found in the oil and gas sector, is a sensibility that promotes safety and reliability, critical to be successful in this industry. However, such a mindset inadvertently stifles innovation. It is a mindset that fears “what could go wrong” rather than fearing if something good does not occur. In a datathon, the mindset is an entrepreneurial one.</p>
<h2 id="how-is-a-datathon-organized-">How is a datathon organized?</h2>
<p>Firstly, you should make sure these key components are in place—a well-structured dataset that can drive insights on a business problem that needs solving, a positive environment for participants to learn new data skills, a chance for participants to make professional connections, and for everyone to have fun!  Secondly, datathons can be run in-person (in adherence to local health authority guidelines during a pandemic, of course) or completely virtual. A participant has the best experience when the event is inclusive and welcoming to both beginners and seasoned data scientists alike. Anchor the event around informative and engaging meetings, which could include a kick-off event to let participants know what to expect, an opening ceremony to start the competition, and a closing ceremony to celebrate its conclusion.  Events in between can drive up engagement from a learning and networking perspective, such as through learning workshops and social networking gatherings. Communications throughout the event are kept high through postings on the event’s social media channels, while near-real-time communications is achieved through using IRC-style platforms like Slack, Discord, or Teams.</p>
<p>Sponsorship not only provides much-needed financial support, but it also adds credibility to your event and sponsors can also offer prizes to motivate your participants.</p>
<p>It is human nature to seek out fun activities. Gamification is the application of game playing (e.g. point scoring, competition with others, rules of play) to encourage engagement and motivation. It can also lead to a different, even unexpected, way of solving a business problem.  To be inclusive, it should not be the primary focus but is a delightful feature of a datathon.</p>
<h2 id="how-long-is-a-datathon-">How long is a datathon?</h2>
<p>Datathons can be held over the course of a single day, over multiple days or a weekend, or even span across a month. It’s important to choose the right time period to sustain engagement throughout your event. In-person events are wonderful for building lasting network connections, though virtual events can attract a broader, even global, audience. Longer events also require more effort from the planning team, though the effort to plan a successful single-day datathon is similar to the effort needed to plan a multi-day one.</p>
<h2 id="want-to-see-a-datathon-in-action-">Want to see a datathon in action?</h2>
<p>Come join the <a target="_blank" href="https://www.speuntapped.com/">GTX 2021 – Geothermal datathon</a> happening between April 20 and June 25, 2021. Hosted in Calgary, Canada, this virtual event will draw people from around the world.  Organized by the Society of Petroleum Engineers (Calgary and US Gulf Coast chapters) and Untapped Energy, this datathon is driven by the desire to use real data to solve a real problem, elevate data literacy, and make new professional connections—all while having fun! The problem: aging oil and gas wells represent an option for the transition to a low-carbon energy world and a future for drilling engineers. Geothermal is a suitable approach and will be the focus of this datathon. All participants enjoy:</p>
<ul>
<li>Use of a great energy industry dataset.</li>
<li>Access to a series of data science bootcamps and workshops.</li>
<li>Access to an incredible library of self-paced online data science courses through DataCamp.</li>
<li>Entry into the datathon competition to test and prove data skills.</li>
<li>Opportunities to meet and work with fellow data enthusiasts to solve real-world problems.</li>
<li>The chance to win a series of great prizes.</li>
</ul>
<p>More details about this event: <a target="_blank" href="https://www.speuntapped.com/">speuntapped.com</a></p>
<h4 id="datacamp-learning-platform-and-learning-competition">DataCamp – Learning Platform and Learning Competition</h4>
<p>All registered participants receive access to the entire DataCamp platform for the duration of the datathon, which includes all of the platform’s 350+ courses, 90 projects, and 10 skill assessments.  Additionally, DataCamp is sponsoring a learning competition: the participant who completes the greatest number of courses throughout the datathon will receive a one-year Premium subscription to DataCamp.</p>
<p>I hope this article has helped create excitement about running your first datathon. Please feel free to connect with me on LinkedIn and keep me updated on your datathon. Good luck!</p>


https://www.datacamp.com/community/blog/how-to-plan-a-successful-datathon

Learn everything you need to know about datathons, from their benefits, how to organize one, and more.

How To Plan a Successful Datathon

<p>Is your organization looking to become a leader in digital trends and innovation? Then you’ll need a plan to implement a successful data strategy. We’ve recently published some great content on data strategy, trends, organizations, and more. Explore these resources below.</p>
<h2 id="webinars">Webinars</h2>
<h3 id="scaling-data-science-at-your-organization">Scaling Data Science at Your Organization</h3>
<p>In this webinar series, DataCamp’s Vice President of Product Research Ramnath Vaidyanathan will go over our IPTOP framework (Infrastructure, People, Tools, Organization and Processes) for building data strategies and systematically scaling data science within an organization.</p>
<ul>
<li><a href="https://www.datacamp.com/resources/webinars/scaling-data-science-at-your-organization-part-1">Part 1</a> provides an overview of the IPTOP framework, and how each element in the framework fits together to enable scalable data strategies.</li>
<li><a href="https://www.datacamp.com/resources/webinars/webinar-scaling-data-science-at-your-organization-pt-2">Part 2</a> focuses on the tools and infrastructure required to scale and democratize data science, along with best practices in implementation.</li>
<li><a href="https://www.datacamp.com/resources/webinars/organizing-teams-data-science-at-scale">Part 3</a> provides a deeper look at the tradeoffs with adopting different organizational structures, key data roles for the 21st century, and more.</li>
</ul>

<h3 id="-fireside-chat-with-zach-dean-mayer-on-data-science-gpt-3-and-automated-machine-learning-https-www-datacamp-com-resources-webinars-fireside-chat-zach-deane-mayer-"><a href="https://www.datacamp.com/resources/webinars/fireside-chat-zach-deane-mayer">Fireside chat with Zach Dean-Mayer: On data science, GPT-3, and automated machine learning</a></h3>
<p>Data science and machine learning have fundamentally changed how we make decisions, build products, and automate workflows and processes. In this fireside chat, Zach Deane-Mayer, Vice President of Data Science at DataRobot, will walk us through the use-cases where data science and machine learning have driven the most value for organizations. He will also share his insight on new developments in machine learning, like Open-AI&#39;s GPT-3 model and the use of deep-learning for tabular data, and comment on the rise of automated machine learning with his work on DataRobot.</p>
<h3 id="-data-trends-and-predictions-2021-the-year-of-data-fluency-https-www-datacamp-com-resources-webinars-data-trends-2021-"><a href="https://www.datacamp.com/resources/webinars/data-trends-2021">Data Trends and Predictions 2021: The Year of Data Fluency</a></h3>
<p>The data science revolution makes the possible widespread, enabling data fluent organizations and societies, where everyone is equipped with the necessary skills they need to be informed, citizens, and employees. In this webinar, DataCamp’s Vice President of Product Research Ramnath Vaidyanathan, Curriculum Architect Richie Cotton, and Data Science Evangelist Adel Nehme will go over eight major trends in data infrastructure, skills, and tooling for the next year and beyond.</p>
<h3 id="-how-data-science-is-driving-the-future-of-automotive-https-www-datacamp-com-resources-webinars-data-science-is-driving-the-future-of-automotive-"><a href="https://www.datacamp.com/resources/webinars/data-science-is-driving-the-future-of-automotive">How Data Science is Driving the Future of Automotive</a></h3>
<p>The automotive industry is one of the oldest industries of the modern world, but it’s much more than just making cars. Every single business function from manufacturing to mobile application development exists within the automotive industry. In this webinar, Lead Data Scientist at Ford Michael Crabtree will review a wide variety of data science use cases that will inspire you to challenge ideas in an old industry with new inventive ways to shape the future of manufacturing and mobility.</p>
<h3 id="-operationalizing-data-within-large-organizations-https-www-datacamp-com-resources-webinars-operationalizing-data-within-large-organizations-"><a href="https://www.datacamp.com/resources/webinars/operationalizing-data-within-large-organizations">Operationalizing Data Within Large Organizations</a></h3>
<p>Large organizations are inherently different from young startups, or even medium-sized companies. They have usually been around longer, have stricter compliance requirements and company cultures that may go back generations. In this webinar, Maksim Pecherskiy, former CDO of the City of San Diego and lead data engineer for the Development Data Partnership at the World Bank will demystify the unique challenges to operationalizing data science within large organizations, how large organizations can get their data science practice off the ground as quickly as possible, and what are the best practices that facilitate a data-driven culture within large organizations.</p>
<h3 id="-democratizing-data-in-government-agencies-https-www-datacamp-com-resources-webinars-democratizing-data-in-government-agencies-"><a href="https://www.datacamp.com/resources/webinars/democratizing-data-in-government-agencies">Democratizing Data in Government Agencies</a></h3>
<p>“Data democratization” is one of the most popular terms surrounding the development of organizational data maturity. Join Alex Scriven, a Senior Data Scientist from the New South Wales Government in Sydney, Australia as he breaks down what data democratization means in a government environment. He will also provide specific, actionable best practices for growing data democratization in government and outline some interesting case studies for what can happen when democratization in government begins to take hold.</p>
<h3 id="-fireside-chat-with-quinn-lathrop-leading-data-science-at-datacamp-https-www-datacamp-com-resources-webinars-fireside-chat-with-quinn-lathrop-leading-data-science-at-datacamp-"><a href="https://www.datacamp.com/resources/webinars/fireside-chat-with-quinn-lathrop-leading-data-science-at-datacamp">Fireside chat with Quinn Lathrop: Leading Data Science at DataCamp </a></h3>
<p>Data science and machine learning have fundamentally changed how we make decisions, build products, and automate workflows and processes. In this fireside chat, Quinn Lathrop, Head of Data Science and Psychometrics at DataCamp, walks us through the use cases of data science in education and how data science is powering education technology, best practices when balancing product goals with research goals, the data team’s role in creating a data culture, and an overview of the data science powering DataCamp.</p>
<h3 id="-storytelling-for-more-impactful-data-science-https-www-datacamp-com-resources-webinars-storytelling-for-impactful-data-science-"><a href="https://www.datacamp.com/resources/webinars/storytelling-for-impactful-data-science">Storytelling for More Impactful Data Science</a></h3>
<p>As data science teams look to scale their impact across the organization, data scientists often spend a long time optimizing and refining models. All too often, they end up neglecting what may be the most important selection criterion for scaling data science: acceptance by the end-user. In this webinar, we outline how storytelling enables data teams to bring the same facts to the table, but provide a clear framework that helps formulate the most impactful aspects of their work. We cover some tips and tricks using real case examples of how to convince the most skeptical end-users.</p>
<h3 id="-the-path-to-data-fluency-https-www-datacamp-com-resources-webinars-path-to-data-fluency-"><a href="https://www.datacamp.com/resources/webinars/path-to-data-fluency">The Path to Data Fluency</a></h3>
<p>In this webinar, DataCamp’s VP of Product Research, Ramnath Vaidyanathan, breaks down the four stages of data maturity organizations will go through, from data reactive to data scaling, data progressive, and data fluent. He also demystifies the defining characteristics of each stage of data maturity in terms of Infrastructure, People, Tools, Organization, and Processes. Finally, he uncovers the steps organizations need to take to transition from one maturity stage to another.</p>
<h3 id="-what-l-d-leaders-need-to-know-about-data-fluency-https-www-datacamp-com-resources-webinars-l-and-d-leaders-data-fluency-"><a href="https://www.datacamp.com/resources/webinars/l-and-d-leaders-data-fluency">What L&amp;D Leaders Need to Know About Data Fluency</a></h3>
<p>While there could be many culprits for the failure of digital transformation programs, a crucial reason is not recognizing that having sustainable organization-wide data transformation is a prerequisite for successful digital transformation. It&#39;s relatively straightforward to invest in tools and infrastructure that enable organization-wide data transformation, but the most challenging pillar to address is the growing skills gaps in data analytics and data fluency.
In this webinar, we&#39;ll address all the key data fluency competency areas within organizations. We will also break down crucial data personas found in every organization, allowing learning and development teams to scale personalized learning paths for their people systematically.</p>
<h3 id="-train-your-workforce-to-thrive-in-a-data-driven-age-https-www-datacamp-com-resources-webinars-thrive-in-a-data-driven-age-"><a href="https://www.datacamp.com/resources/webinars/thrive-in-a-data-driven-age">Train Your Workforce to Thrive in a Data-Driven Age</a></h3>
<p>The future of work is data. As the amount of data in the world grows at an exponential pace, learning data science skills is increasingly important for professionals in all industries to make data-driven business decisions. To meet this need, learning professionals need to rapidly develop scalable, high-quality data science training programs and use data to measure the effectiveness of their training programs. Find out how Bloomberg partnered with DataCamp to deliver a blended learning program focused on teaching data technologies to hundreds of employees in Bloomberg’s Global Data organization around the world.</p>
<h2 id="white-papers">White papers</h2>
<h3 id="-data-trends-and-predictions-2021-the-year-of-data-fluency-https-www-datacamp-com-resources-whitepapers-data-trends-and-predictions-2021-"><a href="https://www.datacamp.com/resources/whitepapers/data-trends-and-predictions-2021">Data Trends and Predictions 2021: The Year of Data Fluency</a></h3>
<p>This year, we stand on the precipice of a great acceleration. Organizations worldwide 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. However, the real data science revolution makes the possible widespread, enabling data fluent organizations and societies, where everyone is equipped with the necessary skills they need to be informed, citizens, and employees.</p>
<h3 id="-our-guide-to-open-source-in-data-science-https-www-datacamp-com-resources-whitepapers-our-guide-to-open-source-in-data-science-"><a href="https://www.datacamp.com/resources/whitepapers/our-guide-to-open-source-in-data-science">Our Guide to Open Source in Data Science</a></h3>
<p>Over the past few decades, digital technologies have completely transformed our way of life. From how we communicate to the way we conduct business, software has disrupted how value is generated today. One of the most significant catalysts to the adoption and development of digital technologies is open-source software, which will empower organizations to make the most of their data and create transformative solutions, processes, and products with machine learning and data science. Find out all you need to know about open-source in data science in our exclusive new guide.</p>
<h3 id="-the-l-d-guide-to-data-fluency-https-www-datacamp-com-resources-whitepapers-l-and-d-guide-to-data-fluency-"><a href="https://www.datacamp.com/resources/whitepapers/l-and-d-guide-to-data-fluency">The L&amp;D Guide to Data Fluency</a></h3>
<p>The key differentiators between the disruptors and the incumbents is not technology-based but in their data-driven culture, the insights they draw from data while examining and iterating upon their services, and the data fluency skills they foster. To become data fluent, organizations are engaging in upskilling for data fluency and L&amp;D leaders are becoming integral to many organizations’ long-term strategy. In this white paper, we demystify data tools used by data professionals across any data-driven organization, and propose a persona-driven learning and development strategy with eight key personas to consider.</p>
<h3 id="-the-data-leader-s-guide-to-upskilling-https-www-datacamp-com-resources-whitepapers-data-leaders-guide-to-upskilling-"><a href="https://www.datacamp.com/resources/whitepapers/data-leaders-guide-to-upskilling">The Data Leader’s Guide to Upskilling</a></h3>
<p>To become data fluent, organizations are engaging in upskilling for data fluency and data leaders are integral to organizations’ long-term strategy. In this white paper, we demystify data tools used by data professionals across any data-driven organization, and propose a persona-driven learning and development strategy with eight key personas to consider for upskilling in data roles.</p>
<h3 id="-digital-transformation-in-finance-upskilling-for-a-data-driven-age-https-www-datacamp-com-resources-whitepapers-digital-transformation-in-finance-"><a href="https://www.datacamp.com/resources/whitepapers/digital-transformation-in-finance">Digital Transformation in Finance: Upskilling for a Data-Driven Age</a></h3>
<p>While compliance, data quality, and infrastructure are key challenges standing in the way of operationalizing data science at scale, no challenge is more pressing than the data fluency skills gap. In this white paper, we outline the unique challenges when upskilling for data fluency in finance, the highest impact data science use cases financial services organizations can start implementing today, and the skills needed to get them off the ground.</p>


https://www.datacamp.com/community/blog/blog-datacamp-business-insights

We’ve compiled a list of expert resources to inform your data strategy. Explore these webinars and white papers at no cost.


Data Insights, Trends, and Best Practices to Achieve Organizational Excellence | DataCamp

Data Insights, Trends, and Best Practices to Achieve Organizational Excellence

<p><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1618409212/1200x628_rousex.png" /></a><br></p>
<p>DataCamp is proud to be recognized as the 54th fastest-growing company and the second-fastest growing education company on the Financial Times (FT) ranking of the <a href="https://www.ft.com/content/ac773779-98ba-442d-a1f2-a14f1a67ddfe">Americas’ Fastest Growing Companies 2021</a>. The recognition is presented by the FT and <a href="https://www.statista.com/">Statista, Inc</a>, the world-leading statistics portal and industry ranking provider.</p>
<p>Between 2016 and 2019, DataCamp&#39;s compounded annual revenue grew by more than 1,000%. Out of the millions of active companies in North and South America, only the top 500 firms are named to the FT Americas’ Fastest Growing Companies list.</p>
<p>DataCamp COO and co-founder Martijn Theuwissen credits our growth to the evolution of our platform and curriculum, and the crucial role of online learning in digital transformation initiatives.</p>
<p>“Data is at the core of every business today,” says Theuwissen. “Our growth is a testament to our commitment to helping businesses, government organizations, and working professionals build data literacy at scale. More than seven million learners and 1,600 businesses are now using DataCamp to develop the data skills to do their jobs effectively.</p>
<p>“In addition to providing a best-in-class learning solution to build these data skills, DataCamp also allows companies to track their teams’ skill progress, measure program adoption and engagement, compare their progress with industry peers, and identify organizational strengths and skill gaps.”</p>
<h2 id="our-impact">Our Impact</h2>
<p>Our platform just keeps getting better. <a href="https://www.datacamp.com/community/blog/2020-year-in-review">Milestones in 2020</a> included 2.2M new learners who started using DataCamp, an increase of 29% from 2019, and 1.9M courses completed, a 43% increase. We have 350+ <a href="https://www.datacamp.com/courses">courses</a> (and growing!), specialized <a href="https://www.datacamp.com/tracks/career">career</a> and <a href="https://www.datacamp.com/tracks/skill">skill</a> tracks, and <a href="http://datacamp.com/signal">assessments</a> to help learners test their skills and get personalized learning recommendations.</p>
<p>Eighty percent of the Fortune 1000 companies use <a href="https://www.datacamp.com/groups/business">DataCamp for Business</a> to train their teams, building critical data skills in every role and at every skill level. It’s easy to implement and manage for teams of any size, with an admin dashboard that allows custom learning paths based on roles and departments. Organizations can even visualize their team’s strengths and skill gaps at scale with an automated Skill Matrix. And our free <a href="https://www.datacamp.com/resources/">business resource center</a> features a wealth of insights for companies looking to leverage data in their ongoing digital transformation.</p>
<p>Through <a href="https://www.datacamp.com/community/blog/datacamp-donates">DataCamp Donates</a>, nonprofits, public schools, and social welfare organizations in over 60 countries are receiving free access to our platform. Many members of these communities have leveraged DataCamp training to <a href="https://www.datacamp.com/community/blog/datacamp-donates-50-partners">excel at their day jobs</a> or <a href="https://www.datacamp.com/community/blog/dcdonates-launchcode">land new ones</a>.</p>
<h2 id="what-s-next">What’s Next</h2>
<p>Needless to say, we’re continuing to evolve our platform. <a href="https://www.datacamp.com/community/blog/datacamp-2-0">DataCamp 2.0</a> is our vision for improving individual and organizational data literacy in the next few years, including a <a href="https://www.datacamp.com/community/blog/collaboration">collaborative workspace tool</a> for data science teams to do their best work, certification for data professionals, and career services to help our learners land their dreams jobs in data science.</p>
<h2 id="join-us">Join Us</h2>
<p>Seven years ago, we were a small and scrappy team. Today, we have over 110 employees and big plans to keep growing the team. If you’d like to join us in our mission to fight data illiteracy, visit our <a href="https://www.datacamp.com/careers">careers page</a>.</p>


https://www.datacamp.com/community/blog/ft-americas-fastest-growing-companies

DataCamp grew over 1,000% in three years and is the #54 fastest-growing company in the Americas.

DataCamp Recognized In the Top 10% of Financial Times—The Americas’ Fastest Growing Companies 2021 | DataCamp

DataCamp Recognized In the Top 10% of Financial Times—The Americas’ Fastest Growing Companies 2021

<p><br><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1612888906/insights_qhc4kg.png" /></a></p>
<h3 id="-gartner-s-2021-magic-quadrant-cites-glut-of-innovation-in-data-science-and-ml-https-venturebeat-com-2021-03-14-gartners-2021-magic-quadrant-cites-glut-of-innovation-in-data-science-and-ml-venture-beat"><a href="https://venturebeat.com/2021/03/14/gartners-2021-magic-quadrant-cites-glut-of-innovation-in-data-science-and-ml/">Gartner’s 2021 Magic Quadrant cites ‘glut of innovation’ in data science and ML</a> | Venture Beat</h3>
<p>Gartner says that as data science and machine learning platforms continue to gain traction, the industry is rife with innovation and visionary roadmaps. This article breaks down challengers, leaders, and visionaries in this space.</p>
<h3 id="-2021-ai-index-report-https-hai-stanford-edu-research-ai-index-2021-stanford-university"><a href="https://hai.stanford.edu/research/ai-index-2021">2021 AI Index Report</a> | Stanford University</h3>
<p>This report attempts to capture the state of AI’s progress across geographies and industries. It provides a panoramic view of the state of AI research and development, technical progress, ethical challenges, education, and more.</p>
<p> <br><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1612888907/Editor_s_Picks_nj17hh.png" /></a></p>
<h3 id="-the-new-possible-how-hr-can-help-build-the-organization-of-the-future-https-www-mckinsey-com-business-functions-organization-our-insights-the-new-possible-how-hr-can-help-build-the-organization-of-the-future-mckinsey"><a href="https://www.mckinsey.com/business-functions/organization/our-insights/the-new-possible-how-hr-can-help-build-the-organization-of-the-future">The new possible: How HR can help build the organization of the future</a> | McKinsey</h3>
<p>In this report, McKinsey breaks down the importance of HR in helping organizations thrive in a post-pandemic world. It covers a wide range of topics from upskilling and reskilling, adopting new organizational models, adapting company culture, and more.</p>
<h3 id="-the-data-visualizations-behind-covid-19-skepticism-http-vis-mit-edu-covid-story-dashboard-mit-visualization-group"><a href="http://vis.mit.edu/covid-story/#dashboard">The Data Visualizations Behind COVID-19 Skepticism</a> | MIT Visualization Group</h3>
<p>The team at the MIT Visualization Group analyzed and visualized over half a million tweets and 41,000 visualizations expressing Covid-19 skepticism. Check out their dashboard.</p>
<h3 id="-what-your-data-team-is-using-the-analytics-stack-https-technically-dev-posts-what-your-data-team-is-using-justin-gage"><a href="https://technically.dev/posts/what-your-data-team-is-using">What your data team is using: the analytics stack</a> | Justin Gage</h3>
<p>A non-exhaustive but concise breakdown of various tools used across the analytics stack, from data collection, to warehousing, transformation, and insights.</p>
<p> <br><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1612889346/Inspiration2_wxr25i.png" /></a></p>
<h3 id="-we-failed-to-set-up-a-data-catalog-3x-here-s-why-https-humansofdata-atlan-com-2021-03-we-failed-to-set-up-a-data-catalog-3x-heres-why-prukalpa-sankar"><a href="https://humansofdata.atlan.com/2021/03/we-failed-to-set-up-a-data-catalog-3x-heres-why">We Failed to Set Up a Data Catalog 3x. Here’s Why</a> | Prukalpa Sankar</h3>
<p>As data teams mature and the amount of data an organization leverages scales, creating tools for data discoverability is a must. Check out lessons learned by the team at Atlan when creating their own data catalog.</p>
<h3 id="-data-science-for-marketing-optimization-case-studies-from-airbnb-lyft-and-doordash-https-blogboard-io-blog-data-science-in-marketing-optimization-drazen-zaric"><a href="https://blogboard.io/blog/data-science-in-marketing-optimization/">Data Science for Marketing Optimization — Case Studies from Airbnb, Lyft, and DoorDash</a> | Drazen Zaric</h3>
<p>Find out how data science can optimize campaign spend, improve conversion rates, and increase customer lifetime value seen through the lens of case studies at data mature companies.</p>
<h3 id="-uber-s-journey-toward-better-data-culture-https-eng-uber-com-ubers-journey-toward-better-data-culture-from-first-principles-uber-engineering"><a href="https://eng.uber.com/ubers-journey-toward-better-data-culture-from-first-principles/">Uber’s Journey Toward Better Data Culture </a> | Uber Engineering</h3>
<p>In this blog post, the Uber Engineering team outlines the challenges data teams face when scaling data science and how they approached solving them.</p>
<p> <br><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1618166459/Tools_and_Techniques_1_ybwltq.png" /></a></p>
<h3 id="-applied-machine-learning-resources-https-github-com-eugeneyan-applied-ml-eugene-yan"><a href="https://github.com/eugeneyan/applied-ml">Applied Machine Learning Resources</a> | Eugene Yan</h3>
<p>This is a comprehensive set of papers, articles, and blogs on how successful data mature organizations have solved applied machine learning problems spanning data quality, data engineering, creating feature stores, modeling, and more.</p>
<h3 id="-ploomber-https-github-com-ploomber-ploomber-ploomber"><a href="https://github.com/ploomber/ploomber">Ploomber</a> | Ploomber</h3>
<p>Ploomber is a Python package for building data pipelines for data science and machine learning. In a given pipeline, tasks can be anything from Python functions, notebooks, Python/R/Shell scripts, and SQL scripts.</p>
<p> <br><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1612889508/From_DataCamp_c6kasv.png" /></a></p>
<h3 id="-webinar-storytelling-for-more-impactful-data-science-https-www-datacamp-com-resources-webinars-storytelling-for-impactful-data-science-"><a href="https://www.datacamp.com/resources/webinars/storytelling-for-impactful-data-science">Webinar: Storytelling for More Impactful Data Science</a></h3>
<p>In this webinar, Deloitte’s Gert de Geyter and Bhavya Dwivedi outline storytelling techniques for data science to gain better organizational alignment around data projects and initiatives.</p>
<h3 id="-blog-how-data-science-is-transforming-healthcare-https-www-datacamp-com-community-blog-data-science-in-healthcare-"><a href="https://www.datacamp.com/community/blog/data-science-in-healthcare">Blog: How Data Science Is Transforming Healthcare</a></h3>
<p>This blog post outlines the major challenges and opportunities when operationalizing data science in healthcare and how data training is essential for healthcare organizations to become data-driven.</p>


https://www.datacamp.com/community/blog/digest-april-2021

Our favorite articles of the month include an exploration of the analytics stack, from data collection to warehousing, transformation, and insights.

DataCamp Digest April 2021: The technology powering your data team | DataCamp

DataCamp Digest April 2021: The technology powering your data team

<p><em>Written by Prithvi Singh Chauhan and Hayden Fiege, <a href="https://www.speuntapped.com/">GTX 2021</a> Planning Team</em></p>
<p>The petroleum industry is facing unprecedented challenges, from the commodity pricing collapse of 2020 to the growing concerns around the industry’s environmental performance, to the ongoing transition to low carbon intensity energy. Digital innovation, data science, and machine learning will help the industry overcome these difficult challenges. Meanwhile, the oil industry is looking for technologies to reduce its cost structure, exploring the automation of drilling rigs and using IoT (the Internet of Things) and data science tools to optimize results using historical data.</p>
<p>According to <a href="https://www.businesswire.com/news/home/20200424005472/en/Artificial-Intelligence-in-the-Oil-Gas-Industry-2020-2025---Upstream-Operations-to-Witness-Significant-Growth---ResearchAndMarkets.com">Business Wire</a>,  the AI market within the oil and gas industry was valued at 2 billion USD in 2019 and is expected to reach 3.81 billion USD by 2025. And a recent <a href="https://www.ey.com/en_ro/applying-ai-in-oil-and-gas">EY survey</a> showed more than 92% of oil and gas companies are either currently investing in AI or plan to do so in the next two years, and 50% of oil and gas executives say they have already begun using AI to help solve problems</p>
<h2 id="why-data-skills-are-crucial-for-the-future-of-petroleum-engineering">Why data skills are crucial for the future of petroleum engineering</h2>
<p>The typical petroleum engineer’s technical skill set does not include programming, data engineering, data science, and machine learning. But these skills will only continue to gain importance as the use of more sophisticated data analytics becomes core to the oil and gas business.  Many petroleum engineers are looking for opportunities to develop these skills. Some may be planning to use these new skills to pivot out of engineering into data-driven roles, while others are looking to use these new skills to transform the future of their practice within the energy industry.</p>
<p>Petroleum engineers have abundant opportunities to automate or streamline processes using data science and big data.  Many applications in production, reservoir, drilling, completions, and geophysics will be improved by better insights through machine learning or data mining. Petroleum engineers don’t need to be experts in programming, but they do need to have a strong grasp  of how to derive actionable insights from rich datasets.</p>
<blockquote>
<p>As a member of Gen Z in the oil and gas industry and having faced two recent economic downturns, I need to consistently level up my skill set with core domain knowledge. A platform like  DataCamp has given me courses and tracks to learn enough to understand the application in my domain. Understanding the wide range of use and efficiency of these tools has helped me to make better insights on data. Our generation is experiencing explosive growth in the production of oil and digital data. Data science and digital technologies will help create new opportunities, generate efficient workflows, and decrease per barrel cost of oil with time.</p>
<h5 id="prithvi-singh-chauhan-m-sc-in-petroleum-engineering-student-at-texas-a-m-university">Prithvi Singh Chauhan, M.Sc. in Petroleum Engineering Student at Texas A&amp;M University</h5>
</blockquote>
<h2 id="how-geothermal-fits-in-with-the-oil-and-gas-industry">How geothermal fits in with the oil and gas industry</h2>
<p>Geothermal energy will be one of the key contributors in the shift to a sustainable low-carbon global energy future. Like oil and gas, geothermal is a data-rich area with a focus on subsurface. Opportunities exist to combine the two sectors through the repurposing of abandoned oil and gas wells for geothermal energy production, provided that the data is available to identify appropriate sites.</p>
<p>This is where the upcoming 2021 GEOTHERMAL Datathon (<a href="https://www.speuntapped.com/">GTX 2021</a>) presented by <a href="https://connect.spe.org/calgary/home?gclid=Cj0KCQjwmIuDBhDXARIsAFITC_7BuMFKBUgEPP-fAoGrxZVHfWJmFaUAfRntC9u4U0rKuCmZ3TXJ3h0aAmbEEALw_wcB">SPE Calgary</a>, <a href="https://www.spegcs.org/">SPE Gulf Coast</a>, and <a href="https://www.untappedenergy.ca/">Untapped Energy</a> comes into play.</p>
<p>GTX 2021 will connect those in the oil and gas industry looking to develop data competencies with data-driven problems. This datathon builds off the success of the <a href="https://www.datacamp.com/community/blog/untapped-energy">2020 DUC Datathon</a> and will take place from April 20 to June 25, providing participants the opportunity to use real-world data to solve real-world problems, elevate data literacy, and make new professional connections.</p>
<blockquote>
<p>As someone who has studied petroleum engineering and has worked in traditional engineering roles as well as a more data science-focused role, I see that both skill sets are complementary. Having a petroleum engineering background shapes the way I approach data science problems, and having data science skills has changed the way I approach engineering problems. I am confident that by providing oil and gas professionals with the tools and resources to develop data science skills, we are making a positive impact on the industry as a whole.</p>
<h5 id="hayden-fiege-e-i-t-gtx-2021-planning-team">Hayden Fiege E.I.T., GTX 2021 Planning Team</h5>
</blockquote>
<h2 id="building-data-literacy-with-datacamp">Building data literacy with DataCamp</h2>
<p>DataCamp is proud to sponsor the 2021 GTX Datathon and will be providing free subscriptions to all participants to learn in-demand open-source programming languages like Python and R. Along with DataCamp access, participants will take part in virtual bootcamps, which are instructor-led lessons on specific tools for data science in the field of petroleum engineering. Last year, DataCamp helped train 150 participants, and we expect to double that number this year.</p>
<p>The new generation of petroleum engineers not only needs to have core industry knowledge but domain-specific data manipulation skills. DataCamp allows beginners to learn Python programming and machine learning on their way to becoming fully skilled data scientists.</p>
<blockquote>
<p>By using the DataCamp platform, I found that learning a new programming language has become simpler. Each topic has a detailed step-by-step guide, with practice through targeted questions, and case studies that helped to deepen my understanding. While learning Python, R, and SQL on DataCamp, I practiced using module imports and function calls and writing user-defined functions. It has greatly enhanced my ability to analyze, model, and interpret data.</p>
<h5 id="jingwen-huang-winner-of-the-2020-duc-datathon-datacamp-learning-competition">Jingwen Huang, winner of the 2020 DUC Datathon DataCamp Learning Competition</h5>
</blockquote>
<p><em>The Geothermal Experience 2021 Datathon will take place from April 20 to June 25, 2021. Find out more <a href="https://www.speuntapped.com/">here</a>.</em></p>


https://www.datacamp.com/community/blog/petroleum-engineers

The average petroleum engineer’s skill set is quickly becoming outdated. Here’s how data science coupled with domain knowledge can keep their skills relevant.

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