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I just finished up a class that covered this material. Is there a good next step or book for someone interested in data science.

• subroutine 7y ago
  What software / lang are you currently using to analyze data?
  • talson 7y ago
    It used excel and Python. I’ve also personally used R outside of the class.
    • subroutine 7y ago
      That's good you got exposure to Python (and, I assume, numpy/scipy/pandas etc.), and you're already familiar with R. Are you majoring in data science, and just looking for something extra? If you're interested in machine learning, Andrew Ng Coursera course is almost a right of passage at this point - it's very accessible: https://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning Kutner is the bible on regression models (tho, not a super fun read): https://www.amazon.com/dp/0073014664 https://www.amazon.com/dp/0073014664 This was one of my favorites as an undergrad: https://www.amazon.com/gp/product/0805833889 https://www.amazon.com/gp/product/0805833889
      • talson 7y ago
        I’ll check these out, thanks for the recommendations. I’m not majoring in Data science, but I do find it really interesting and want to learn more.
    • alexhutcheson 7y ago
      R for Data Science is great: https://r4ds.had.co.nz/ https://r4ds.had.co.nz/
• caliguliminix 7y ago
  Not exactly a textbook, but good to read nonetheless is, "Statistics Done Wrong"[1]. It is a short read but is filled with all the most common ways in which statistical analysis is abused with concrete examples. [1] Statistics Done Wrong: The Woefully Complete Guide https://www.amazon.com/dp/1593276206/ref=cm_sw_r_cp_apa_i_u.eUDbYP6JK4K https://www.amazon.com/dp/1593276206/ref=cm_sw_r_cp_apa_i_u....