Statistics and NumPy

Advanced
24m
1,000
3.1/5

This Lesson delves into the theory behind the topics of statistics, distributions, and standardization, all of which give you a solid foundation upon which the field of data science is built. We look at a variety of aspects of the field of statistics and how to use statistical tools to analyze and interpret data. You will then be walked through the NumPy library and how it can be used in a variety of real-world situations.

Learning Objectives

  • Understand the different types of data and the relationships between them
  • Understand the different way of finding the average of a set of data
  • Know which statistical tools are available for analyzing data
  • Grasp the impact that the distributions of data have on data analysis
  • Learn about standardization and its use cases
  • Explore NumPy library and its computational and statistical tools

Intended Audience

This Lesson is intended for IT professionals looking to learn more about data analytics and the NumPy library.

Pre-requisites

To get the most from this Lesson, you should already have some basic statistics knowledge as well as some programming experience.

About the Author
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Thomas Holmes, opens in a new tab
Data Science Trainer at QA Ltd.
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Delivering training and developing courseware for multiple aspects across Data Science curriculum, constantly updating and adapting to new trends and methods.

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