https://www.datacamp.com/community/podcast/the-past-and-present-of-data-science

Sergey Fogelson deep dives into how data science has evolved over the past decade, the largest challenges facing data teams today, and the importance of learning SQL and data democratization.&nbsp;

Sergey Fogelson deep dives into how data science has evolved over the past decade, the largest challenges facing data teams today, and the importance of learning SQL and data democratization. 

The Past and Present of Data Science

https://www.datacamp.com/community/blog/the-past-and-present-of-data-science

https://www.datacamp.com/community/podcast/from-predictions-to-decisions

Dan Becker deep dives into the intersection of decision sciences and machine learning, how data teams can go from experimentation and deployment to providing value at scale for organizations, and more!

Dan Becker deep dives into the intersection of decision sciences and machine learning, how data teams can go from experimentation and deployment to providing value at scale for organizations, and more!

From Predictions to Decisions

https://www.datacamp.com/community/blog/from-predictions-to-decisions

https://www.datacamp.com/community/news/datacamp-announces-new-funding-wm23nnrviyf

With significant growth investment from Spectrum Equity, DataCamp expands curriculum and enterprise features.

DataCamp Announces New Funding

https://www.datacamp.com/community/news/request-for-proposal-topical-projects-for-january-2019-sxeje87et4q

Learn how to become a DataCamp project instructor and have your project launch in January 2019.

Request for Proposal: Topical Projects for January 2019

https://www.datacamp.com/community/news/data-science-at-datacamp-ppx7ezzh2a

Two months after starting as Chief Data Scientist at DataCamp, I share some thoughts on the role and the team's future.

Data science at DataCamp

<H2>Switch between modes in just one click</H2>

<center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624384398/unified-navigration_wgv0rh.gif" /></center> 
Managing groups might be a time-consuming and tedious task, especially when it&#39;s an added responsibility at work. The new navigation aims to simplify the admin experience and minimize the time needed to complete your tasks.
Starting from June 9th, admins can access various groups by simply using a dropdown menu in the sidebar navigation. And we’re just getting started. In the coming weeks, we will enable a new feature allowing admins to switch between learning and group management modes in just one click.
<H2>All your learning in one place </H2>

<center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624384398/unified-navigation-2_nuote8.gif" /></center> 
Learning a new skill can be difficult, but it can be particularly challenging when you’re surrounded by constant distraction. To help you stay focused, we wanted to design an effective learning environment that encompasses all learning-related items you need to succeed. Over the next months, we will move all your assignments, custom tracks, and the leaderboard to the Learner Home.
<H2>Drill down into individual performance </H2>

Earlier this year we launched the Skill Matrix to give admins and managers an at-a-glance view of learners’ skill assessment scores and progress over time. To help you uncover even more insights, in the coming months we will make the Skill Matrix more robust by enabling a detailed view of learners’ progress and allowing admins to assign recommendations directly from the Skill Matrix.
We can’t wait to make these updates live. Our <a target="_blank" href="https://www.datacamp.com/community/blog/datacamp-2-0">mission</a> is to help people and organizations get ahead using the power of their data, and we are excited to make another step forward to achieving it with the new DataCamp navigation.

https://www.datacamp.com/community/blog/meet-your-new-and-improved-datacamp-navigation

We’re excited to launch a new version of DataCamp navigation that makes it easier for you to achieve your learning goals—whether it’s closing one’s skill gaps or managing a group. 

Meet Your New and Improved DataCamp Navigation

Click the image below to download our infographic on data literacy for responsible AI. For a deeper dive on how to spread the responsible use of AI with data literacy, explore our <a target="_blank" href="https://www.datacamp.com/resources/whitepapers/data-literacy-for-responsible-ai">exclusive guide</a>.
<center><a target="_blank" href="https://s3.amazonaws.com/assets.datacamp.com/email/other/Data+Literacy+for+Responsible+AI+Infographic.pdf"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1624199048/Data_Literacy_for_Responsible_AI_Infographic_wibbvb.pdf" /></center></a>
 <center><a target="_blank" 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-literacy-for-responsible-ai-infographic

Our infographic explains the importance of developing responsible AI and what it means for organizations today.

Data Literacy for Responsible AI [Infographic]

<center><a href="https://s3.amazonaws.com/assets.datacamp.com/email/other/Python+vs+R.pdf"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1603467084/Tutorial__R_or_Python_for_Data_Analysis_fkkn9s.png" /></a></center> 
It&#39;s hard to know whether to use Python or R for data analysis. And that’s especially true if you&#39;re a newbie data analyst looking for the right language to start with.
But it is possible to figure out the strengths and weaknesses of both languages. One language isn’t better than the other—it all depends on your use case and the questions you’re trying to answer: What should I use for machine learning? I need a fast solution, so should I use Python or R?
Python vs. R for Data Analysis
At DataCamp, we often get emails from learners asking whether they should use Python or R when performing their day-to-day data analysis tasks. Both Python and R are among the most popular languages for data analysis, and each has its supporters and opponents. While Python is often praised for being a general-purpose language with an easy-to-understand syntax, R&#39;s functionality was developed with statisticians in mind, thereby giving it <a href="http://www.quora.com/Which-is-better-for-data-analysis-R-or-Python">field-specific advantages</a> such as great features for data visualization.
Our infographic &quot;When Should I Use Python vs. R?&quot; is for anyone interested in how these two programming languages compare to each other from a data science and analytics perspective, including their unique strengths and weaknesses. Click the image below to download the infographic and access the embedded links.
<center><a href="https://s3.amazonaws.com/assets.datacamp.com/email/other/Python+vs+R.pdf"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1603890265/Python_vs_R_zerop6.pdf" /></a></center> 
For additional insight into these languages, read our blog post on <a href="https://www.datacamp.com/community/blog/when-to-use-python-or-r">Python vs. R for Data Science: What’s the Difference?</a> To explore these languages for yourself, try our <a href="https://www.datacamp.com/courses/intro-to-python-for-data-science/">Introduction to Python</a> and <a href="https://www.datacamp.com/courses/free-introduction-to-r/">Introduction to R</a> courses.

https://www.datacamp.com/community/tutorials/r-or-python-for-data-analysis

Wondering whether you should use Python or R for data analysis? You’ve come to the right place. 

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DataCamp Announces New Funding

DataCamp Announces New Funding

DataCamp Announces New Funding

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Choosing Python or R for Data Analysis? An Infographic

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Podcast (2)

The Past and Present of Data Science (with Sergey Fogelson)

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Meet Your New and Improved DataCamp Navigation

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