This course is the one course you take in statistic that is equipping you with the actual knowledge you need in statistics if you work with data. Statistics and mathematics are fundamental to the field of data science and data analytics. A strong foundation in these subjects is essential for understanding and working with data. Statistics is the science of collecting, analyzing, and interpreting data. It involves using statistical methods and techniques to understand patterns and trends in data, and to make predictions and decisions based on that data. Some key areas of statistics that are important for data science and data analytics include descriptive statistics, probability theory, hypothesis testing, and regression analysis.

Absolutely no previous experience required. Absolutely no previous experience required. Are you aiming for a career in Data Science or Data Analytics? Good news, you don't need a Maths degree - this course is equipping you with the practical knowledge needed to master the necessary statistics. It is very important if you want to become a Data Scientist or a Data Analyst to have a good knowledge in statistics & probability theory.

This course is giving you the chance to systematically master the core concepts in statistics & probability, descriptive statistics, hypothesis testing, regression analysis, analysis of variance and some advance regression / machine learning methods such as logistics regressions, polynomial regressions, decision trees and more. In real-life examples you will learn the stats knowledge needed in a data scientist's or data analyst's career very quickly.