Description:

The Applied Data Analysis & Business Intelligence course is a practical, job-oriented program designed to help learners turn raw data into meaningful business insights. This offline course focuses on the exact tools and workflows used by data analysts and business intelligence professionals in real companies.

Learners start with advanced Excel for business analysis, move into SQL for database querying, use Python for automated data analysis, and then master Power BI and Tableau for dashboarding and data storytelling. The program is fully hands-on, with 5 guided projects and a capstone, ensuring students graduate with strong analytical thinking, tool proficiency, and a professional portfolio ready for interviews.

This course is ideal for students and professionals who want to build a career in data analysis, business intelligence, reporting, or analytics roles.

Prerequisites: 

To successfully engage with this course, learners should have:

• Basic computer skills and comfort using spreadsheets and files
• Fundamental understanding of mathematics (school-level is sufficient)
• Willingness to work on hands-on projects and real datasets
• No prior experience in data analysis, SQL, or Python is required

Key Highlights:

• Hands-on data analysis techniques
• Business intelligence tools and applications
• Real-world case studies
• Strategic decision-making insights

What you will learn 

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

• Analyze, clean, and model business data using Excel, SQL, and Python for real-world use cases
• Build interactive dashboards and reports using Power BI and Tableau for decision-making
• Perform exploratory data analysis and uncover patterns, trends, and insights from complex datasets
• Apply data modeling, DAX, and calculated fields to create accurate and scalable BI solutions
• Present data-driven insights clearly to non-technical stakeholders using dashboards and storytelling techniques.