The course begins with an exploration of the fundamental principles of data analysis, including data collection, cleaning, and preprocessing techniques. You’ll learn how to work with different types of data and how to avoid common pitfalls in data analysis. We will cover a variety of statistical methods and tools that are essential for analyzing data and generating insights.

As the course progresses, you will delve into more advanced topics such as exploratory data analysis, hypothesis testing, and regression analysis. You will become proficient in using software tools like Excel, Tableau, Power BI and SQL for data analysis purposes. Real-world case studies and hands-on projects form a core part of the curriculum, allowing you to apply your learning to solve practical problems.