The aim of this self-paced course is to provide learners with a solid foundation in Statistics, which is fundamental to the field of Data Science. Through this course, learners will develop the necessary skills to recognize, analyze, and gain insights from data.

The course covers the core principles of Statistics, including analysis techniques and hypothesis testing. By applying these concepts to real-world business scenarios, learners will gain the ability to effectively analyze data, draw conclusions, and derive valuable insights.

The topics covered through the course are:
• The fundamentals of Statistics and probability
• The importance of Statistics in Data Science
• The difference between descriptive and inferential Statistics
• The various statistical analysis techniques
• Hypothesis testing and its types
• Probability and Regression analysis

Prerequisites
Basic computing and data management skills

Audience
Executives, Programmers, Data Scientists

Assessment:
Upon completing this course, you will have the opportunity to demonstrate your understanding and proficiency through an assessment. This assessment serves as a culmination of your learning journey and allows you to apply the knowledge and skills you have acquired throughout the course. Please note, that this is a multiple-choice question assessment with two attempts to pass within a stipulated timeline.