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    freeCodeCamp - Data Analysis with Python

    freeCodeCamp - Data Analysis with Python

    In these comprehensive video courses, created by Santiago Basulto, you will learn the whole process of data analysis. You'll be reading data from multiple sources (CSV, SQL, Excel), process that data using NumPy and Pandas, and visualize it using Matplotlib and Seaborn, Additionally, we've included a thorough Jupyter Notebook course, and a quick Python reference to refresh your programming skills.

    Course related:
    AMA1600 Fundamentals of AI and Data Analytics and AMA1751 Linear Algebra
    Subjects:
    Mathematics and Statistics and Computing
    Keywords:
    Computer programming Computer science Python (Computer program language)
    Resource Type:
    Others
     
  • e-book 
    Think Bayes: Bayesian Statistics Made Simple

    Think Bayes: Bayesian Statistics Made Simple

    Think Bayes is an introduction to Bayesian statistics using computational methods. The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics. Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops. I think this presentation is easier to understand, at least for people with programming skills. It is also more general, because when we make modeling decisions, we can choose the most appropriate model without worrying too much about whether the model lends itself to conventional analysis. Also, it provides a smooth development path from simple examples to real-world problems.

    Subjects:
    Computing and Mathematics and Statistics
    Keywords:
    Bayesian statistical decision theory Python (Computer program language) Textbooks
    Resource Type:
    e-book