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3 Ways to Upskill in Python with DataCamp and Anaconda










DataCamp is proud to partner with Anaconda to offer eight courses on Conda and Python—in addition to the more than 70 total Python courses in DataCamp’s ever-expanding data science and analytics curriculum. Not sure where to start? Check out a few essential highlights below.
  1. Master Conda Essentials
Learn how to manage packages and working environments in different programming languages with Conda. Software is constantly evolving, so data scientists need a way to update the software they’re using without breaking things that already work. This DataCamp course guides you through the core Conda features so that you and your colleagues can reliably reproduce your working environments with minimum effort.
  1. Manipulating DataFrames with pandas
If you already have a strong foundation in pandas, try our Manipulating DataFrames with pandas course. You’ll learn how to leverage pandas’ extremely powerful data manipulation engine to get the most out of your data. The techniques covered in this course are all fundamental next steps to becoming a well-rounded data scientist.
  1. Introduction to Data Visualization with Python
Deepen your data visualization skills in Python, and build a strong foundation in the Matplotlib library and the seaborn package. In this course, you’ll learn about customizing graphics, plotting two-dimensional arrays, statistical graphics, and working with time series and image data.
DataCamp is where you go to build data science and analytics skills at every stage of your career. Register here to try out the first chapter of any DataCamp course for free.
For teams and organizations, try DataCamp for Business. With DataCamp, you can close your company’s skill gap and give your teams the training they need to manage and manipulate data.

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