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Data Academy Subscription > Getting Started - Data Academy > Developing Python's Use in Statistics
Course Description
This course presents some of the most useful concepts in inferential statistics, and covers confidence intervals and hypothesis testing. This course is part of the Statistics and Calculus learning path – complete this path to learn how to use mathematical functions within Python.
Requirements
  • As part of the Statistics and Calculus learning path, you will already have some familiarity with Python data structures and the use of functions, loops, and Jupyter notebooks. You will also know the core concepts, functions, and APIs of each of the key libraries for Python statistics and algebra, and have an understanding of vectors, complex numbers, trigonometry, and probability theory.
Instructor:
Packt Data