Business Analytics
Master Data Analytics, Visualization & Machine Learning Using Python and Excel
- Certificate from EICTA consortium upon successful completion.
- Hybrid Learning with IIT Kanpur Campus Immersion*
- Real-world mini-projects and a final capstone project guided by mentors.
- Note: *An additional fee will apply for student accommodation during the 3-day Campus Immersion.
Beginner Level
Learning Format
Course Duration
What you'll learn
- Apply core statistical, analytical, and machine learning techniques to solve real-world business problems using Excel and Python.
- Learn to build predictive models using regression, classification, clustering, and text analytics methods.
- Explore natural language processing (NLP) for analyzing customer feedback and reviews.
- Execute an end-to-end analytics project with proper business interpretation and insights.
Skills you'll gain
Tools
Earn a career certificate
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Course Instructor
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Prof. Saurabh Agarwal
Professor
He holds undergraduate and postgraduate degrees from IIT Kanpur and IIT Delhi and is affiliated with HBTU Kanpur, Great Lakes, AIMA New Delhi, and NMIMS Mumbai. He also works as a Business Analytics consultant for IBM and UNESCO. His expertise spans Data Mining, Data Analysis, Business Analytics, Structural Equation Modeling, and Multivariate Analysis using tools like R, Python, SPSS, and IBM Watson Analytics. He has conducted workshops for global organizations such as Saudi Aramco and leading Indian institutions.
Learn from IIT Kanpur Faculty & Industry Experts
Get taught and mentored by instructors from IIT Kanpur and industry practitioners, offering conceptual clarity and practical knowledge.
Hands-On Projects with Business Context
Apply concepts through mini-projects and a comprehensive capstone aligned with real business applications such as customer churn and loan approvals.
Hybrid & Beginner-Friendly Format
The flexible hybrid model combines self-paced content and live sessions. No prior coding experience is required, which is ideal for students and early professionals.