Free - 20 Data Science Courses (Python, SQL, Microsoft Excel) @ 365datascience


Select the "start for free" option and sign up. No credit card details required.

In response to the novel Coronavirus outbreak, we are making all of our courses completely free until 15 April. Be safe. Stay at home. Learn data science.

Courses -
Intro to Data and Data Science
Introduction to Microsoft Excel
Advanced Microsoft Excel
Introduction to Tableau
Power BI
SQL + Tableau
Introduction to Python
Git and GitHub
Introduction to R Programming
Machine Learning in Python
Deep Learning with TensorFlow
Deep Learning with TensorFlow 2.0
SQL + Tableau + Python
Credit Risk Modeling in Python
Time Series Analysis in Python
Customer Analytics in Python

Related Stores


    • +6 votes

      Completely different target audience. One is a spreadsheet, one is a database management system.

      Excel is good for quick data analysis with a smaller learning curve. Used widely across the board.
      Access is for accessing to more rigid data oriented models.Useful for those who require a database (relational)

    • +11 votes

      Standard Diji1 post - make a simple claim somewhat negative to the deal (noting that no Access courses are available in the list above, nor have you provided any alternatives) with no information as to why the claim is a good idea.

      And surely "Skip Access and learn SQL" is more of a relevant point, since as Doggiie points out above Excel and Access have different intents, where as SQL is a much more applicable skill across organisations and works with a lot of tools.

  • +1 vote

    Really need help with R. Hope this is helpful.


    Thanks, this will expand my resume!

        • +2 votes

          Tableau and Power BI could be considered more generally useful outside of IT, true. But the rest, TensorFlow, SQL, git etc are very much IT.

        • +1 vote

          Everyone can get into data science to some degree. But having IT skills will help you tremendously to do well at it.

          It’s a bit like saying anyone can build a boat. Sure most people could knock up a raft of some sort and stay afloat for a while. But someone with an engineering/design background will probably make something that lasts longer and is stronger. And also has some way to be powered and controlled.

          In the end though, you need both IT skills and strong subject matter knowledge to make data science useful. At my work, we bring business users and IT together to solve large data science problems.

          If you are thinking of doing these course because you think it might be useful for you, then do it. Non-IT students will benefit from understanding more about data and how analyses are put together (helps a you understand the critical elements you need for your data science models to work). IT students will benefit as they will now have the skills to build such analyses and models.


    That's a pretty steep RRP..


    Power BI+Excel+Alteryx handles a multi billion business.

    • +2 votes

      Alteryx is amazing. Shame it's so expensive and inaccessible outside of a large business.


        Has Alteryx increased in price, or just added more options? Almost rolled that out but the client wanted 7 developers and so PowerBI was born.


          Haven't checked pricing in a while but last time I checked it was $5k/user/year.


            @nurries: I haven't seen the latest cost either, but it pays for itself quickly via massively increased productivity. Unfortunately, I don't have it at my new job.

  • +2 votes

    This is from 365 careers on Udemy, and Udemy has a 30 days refund policy, if you can’t finish your study before the end of this free trial, sign up on Udemy and use the refund policy until you finish it.


    How does this compare to DataCamp in terms of:

    • learning resources (which covers more of Data Science?)
    • ease of learning
    • industry accreditation

    Just want to say this course was such a good intro especially with the machine learning side.
    Thanks OP!