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The course takes learners from the fundamentals of data handling to advanced analytical techniques using industry-relevant tools including Microsoft Excel 365, SQL, Power BI and Python. Students learn how to collect, clean, transform, analyze and visualize data and convert complex datasets into meaningful business insights.
Special emphasis is given to Advanced Excel, Power Query, Power Pivot, DAX, SQL queries, Python-based data analysis, Power BI dashboards and Generative AI tools. The program also includes practical assignments, business case studies and capstone projects based on real-world applications.
• Advanced Excel 365 for Data Analytics
• Mathematics & Statistics for Data Analysis
• SQL & Database Analytics
• Power Query & Data Transformation
• Power BI & Business Intelligence
• DAX & Data Modeling
• Python for Data Analytics
• Data Cleaning & Exploratory Data Analysis
• Data Visualization & Dashboard Development
• Generative AI for Data Analytics
• Business & MIS Reporting
• Real-World Case Studies & Capstone Projects
The program prepares students for entry-level and professional roles such as Data Analyst, Business Analyst, MIS Executive, Reporting Analyst, Junior BI Analyst and Power BI Analyst.
Practical Training | Industry-Oriented Curriculum | AI-Enabled Learning | Live Assignments | Portfolio Projects | Dashboard Development | Career & Job Assistance
Level: Beginner to Advanced
Students complete real-world portfolio projects, such as:
Who can apply for this course
Minimum Qualification: 10+2 / Higher Secondary or equivalent from a recognized Board/Institution.
Preferred Qualification: Graduate / Diploma Holder / Undergraduate students / Working Professionals.
Computer Knowledge: Basic knowledge of computers and MS Office is preferred.
Stream: Candidates from Arts, Commerce, Science, Management, Engineering, Computer Applications and other disciplines can enroll.
No prior programming or data analytics experience is required.
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