Statistics and Mathematics for Data Science and Data Analytics

Statistics and Mathematics play an important role if you are aiming for a career in Data Science or Data Analytics. Instead of pursuing a degree in maths, you can use this course as your primary resource to master these crucial concepts. This course by Tutorials Point is designed to equip you with practical knowledge essential to mastering statistics.

Statistics and probability theory often do come across to someone who wants to become a Data Scientist or Data Analyst. Although there is more to Data Science than statistics, knowing the fundamentals can go a long way.

Statistics and Mathematics For Data Science and Data Analytics Overview

This course provides you with the actual knowledge you need in statistics if you work with data. It is taught by an actual mathematician who is also a data scientist. Balancing both, theory and practical real-life examples, the course helps you master the fundamentals of statistics and probability needed in data science and analysis.

The curriculum walks you through the fundamentals of statistics and probability, descriptive statistics, hypothesis testing, regression analysis, and analysis of variance. The course also discusses some advanced regression/Machine Learning techniques such as logistic regressions, polynomial regressions, decision trees, etc.

You will quickly pick up the statistics skills required for a job as a data scientist or data analyst by studying real-world examples.

Who this course is for:

• Anyone interested in learning statistics and probability for data science and analysis

• Professionals and students who wish to comprehend the necessary statistics for data analysis

• Who wants to pursue a career in data science?