AI and DS Skills

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  • 1.  Data Science Beginner

    Posted Mon January 09, 2023 11:09 AM
    I am much passionate about Data Science. Before beginning the course which things should I learn first? I think linear algebra would be a good start but here is a confusion for me. How much linear algebra should I learn first? Please guide me.

    Alauddin Mondal
    Web developer
    Success Point College


  • 2.  RE: Data Science Beginner

    Posted Tue January 10, 2023 03:48 AM
    Hi, Alauddin. 

    For data science, I would not suggest that you study Linear Algebra. Just make sure you can code proficiently/sufficiently in Python. Basic statistics will be needed here and there but it is something you can pick up when you need it. Do a course in data science and you will learn the rest of the stuff as you build the course project. Do not do courses directly as it will waste your time and you may be demotivated when you encounter some serious mathematical problems that you may not need for the profession.


  • 3.  RE: Data Science Beginner

    Posted Wed January 11, 2023 09:09 AM
    i would suggest that you start with two tracks, one focused on statistics and R programming and the other focused on Python and other tools and practices used in Data Science.  Included in those tools should be various visualization tools, some of which will cross tracks between the R and Python languages.  Other important tools to included in the second track are SQL and Excel, and one or more of the two important business intelligence applications (PowerBI and Tableau) used in Data Science.

  • 4.  RE: Data Science Beginner

    Posted Wed January 11, 2023 11:43 AM
    Hello Geoffrey,

    Thank you for this complete information on tools for data science.

    I really like to follow these points you made. 

    Best regards,

    Ojarikre Egbenine

  • 5.  RE: Data Science Beginner

    Posted Thu January 12, 2023 02:11 AM
    If you want to be a good data scientist, you probably want more than just basic stats.  The programming side is pretty straight forwards and can usually be cribbed off of various tutorials on the web.  The key to success is understanding the data and its relationships.  Any script monkey can drive Jupyter notebook to make pretty pictures, but you need to have a good understanding of what they actually mean and the data behind them to get the best value out of them (and to decide which ones are garbage).

    Michael Clarke

  • 6.  RE: Data Science Beginner

    Posted Wed January 11, 2023 03:40 AM
    Hello Alauddin, 

    I learned that the R programming language is also a good requirement for data analysis. So, if you could learn it with  python, you get added advantage. Or you could learn the R language in place of Python. Both work well for data analysis. 

    Best regards,

    Ojarikre Egbenine