Steps To Activate Free Access To Datacamp, Pulralsight, LinkedIn Learning, Etc Through Visual Studio Dev Essentials Program

In this article, we will discuss steps to activate free access to Datacamp, Pulralsight, LinkedIn Learning, Etc Through Visual Studio Dev Essentials Program.

Many of us use Visual Studio and have Outlook credentials.

The perk of having a Microsoft account is that you can take the benefit of Visual Studio Dev Essentials Program, like getting trained in various technologies, free access to multiple MOOCs websites, etc.

Herein, I have demonstrated the steps to enroll in Data Science track using Python on DataCamp for free for those who aspire to be a Data Scientist or who want to learn new skills.
  1. Sign up or login in Microsoft Outlook account

    Visual Studio

  2. Go to https://my.visualstudio.com/ and fill in your details

    Visual Studio

  3. Accept the terms & conditions for Visual Studio Dev Essentials Program.

    Visual Studio

  4. Here, you can see learning websites like Datacamp, Pluralsight, LinkedIn Learning, etc. You can activate your subscriptions for any of these.

    Visual Studio

  5. As I’m interested in Data Science Track available on Datacamp, so I’m selecting DataCamp. You can go for any of these.

    Visual Studio

  6. You will be redirected to a new link wherein you can sign up or you can even log in with your old account to activate the benefits of DataCamp,

    Visual Studio

  7. Select the track you are interested in,

    Visual Studio

  8. Here, you can select Data Scientist track using R or Python,

    (Or you can select any course from the website you are interested in)

    Visual Studio

  9. I have selected Data Scientist using Python.

    Visual Studio

  10. This is the list of 22 courses under this track,

    1. Intro to Python for Data Science
    2. Intermediate Python for Data Science
    3. Python Data Science Toolbox (Part 1)
    4. Python Data Science Toolbox (Part 2)
    5. Importing Data in Python (Part 1)
    6. Importing Data in Python (Part 2)
    7. Cleaning Data in Python
    8. pandas Foundations
    9. Manipulating DataFrames with pandas
    10. Merging DataFrames with pandas
    11. Intro to SQL for Data Science
    12. Introduction to Databases in Python
    13. Introduction to Data Visualization with Python
    14. Interactive Data Visualization with Bokeh
    15. Statistical Thinking in Python (Part 1)
    16. Statistical Thinking in Python (Part 2)
    17. Joining Data in PostgreSQL
    18. Supervised Learning with sci-kit-learn
    19. Machine Learning with the Experts: School Budgets
    20. Unsupervised Learning in Python
    21. Deep Learning in Python
    22. Network Analysis in Python (Part 1)

You can access any course for free for 60 days on DataCamp, after that you need to pay if you wish to continue learning the paid courses.

Note
For different websites under Visual Studio Dev Essentials benefit, the number of days for which you can access the contents for free is limited.

I wish you all very happy learning!!!