This course is designed for absolute beginners, so don’t worry if you’ve never worked with data before. However, here are a few things that will help:

• Basic computer knowledge

• Interest in solving problems logically

• Familiarity with Microsoft Excel (optional but helpful)

• Access to a computer/laptop with internet

• Willingness to learn and explore tools like Excel, SQL, and Power BI

Business Analytics is the heart of modern business decision-making. It combines data analysis, business understanding, and communication skills to guide companies in making smarter decisions. This course introduces beginners to the entire business analytics lifecycle—from identifying a problem to providing a solution with data.

You’ll begin by understanding the types of analytics and how they apply to real-world industries like retail, e-commerce, banking, and manufacturing. Then, you’ll learn how to handle data through Excel and SQL, and visualize insights using tools like Power BI or Tableau.

Through practical examples, use cases, and step-by-step breakdowns, you’ll learn not just what to do, but also why it matters.

This course prepares you not only to understand analytics but to start building your portfolio and apply for real jobs in the Business Analytics field.

What You Will Learn

By the end of this course, you will be able to:

• Understand what Business Analytics is and why it matters.

• Identify and differentiate between Descriptive, Diagnostic, Predictive, and Prescriptive analytics.

• Analyze business problems using a data-driven approach.

• Use Excel to clean, filter, and analyze business data.

• Write basic SQL queries to extract and work with datasets.

• Create meaningful dashboards and visualizations using tools like Power BI or Tableau.

• Interpret business metrics and KPIs in real scenarios (sales, marketing, HR, finance, etc.).

• Solve a full case study based on E-commerce business data.

• Explore the popular tools used by Business Analysts.

• Understand real-world career opportunities in Business Analytics and how to prepare for them.