How to Learn the Basics of Statistics for Data Science
Share
Author
Turing
Author is a seasoned writer with a reputation for crafting highly engaging, well-researched, and useful content that is widely read by many of today's skilled programmers and developers.
Frequently Asked Questions
What is statistics in data science used for?
Statistics in data science is used for analyzing and interpreting data, making informed decisions, and making predictions. Statistics is an important tool that helps data scientists to understand complex relationships in data.
Why is statistics for data science so popular?
Statistics for data science has become so popular due to the increasing amount of data being generated today, as well as the growing need for organizations to extract insights and make informed decisions based on that data.
What is the best way to learn statistics for data science?
We can broadly divide it into 3 steps. Step 1: Learn descriptive statistics. Step 2: Learn inferential statistics. Step 3: Learn statistical modeling like regression, ANOVA, etc.