​After a very successful batch in 2024, IDEAS TIH @ Indian Statistical Institute Kolkata is now launching the second edition of this course. 

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Why Join?

✅ Learn from Experts – Faculty from the Indian Statistical Institute (ISI) and Industry experts will guide you through the latest advancements in AI-driven business intelligence.
✅ Hands-on Training – Get practical experience with state-of-the-art tools and real-world business applications.
✅ Affordable & High-Quality – Gain premium knowledge at a fraction of the cost of similar courses.
✅ Flexible Learning – Online format to fit your schedule.

✅ Completion Certificate  – Certificate from the prestigious IDEAS Technology Innovation Hub @ ISI

✅ Doubt clearning sessions

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Program Details

• Duration: 3 months (12 weeks)

• Format: Fully online, live lectures on evening 3 days a week (Tue / Thu / Sat). One day immersion programme at ISI Kolkata (optional)

• Learning at your own pace - Recorded lectures will be available 

• Cost: Rs 12500 + 18% GST (Total Rs 14,750)

• Start Date: April 8, 2025

• Time Commitment: 6 hours per week + Self-study (Exercises, Quiz, Assignments)

• Certificate from IDEAS TIH upon completion

 

Who Should Apply

• Students / Researchers aiming for a career in Data Science

• Business analysts and software professionals

• Data analysts looking to expand their skillset

• Entrepreneurs exploring AI applications in business

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Eligibility Criteria to enroll

• Pursuing graduation or above

• No screening or eligibility tests

• Basic programming knowledge (any language) is a pre-requisite

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How to enroll

• Pay the course fee using the Billdesk payment gateway of IDEAS TIH (link). You should receive the receipt in your mailbox.

• Fill up the registration form (link)​

• Last date of registration is 5th April 2025.

• Practice and sharpen your python coding skills from any online resource before start of the training.

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Day-wise Topic List

Day 1: Course introduction – Data science and its application
Day 2: Introduction to Business Analytics
Day 3: Information Visualisation – pivot tables, charts and dashboards
Day 4: Using Microsoft Power BI
Day 5: Introduction to Grammar of Graphics
Day 6: Introduction to Machine Learning
Day 7: Python Basics
Day 8: Common Python libraries – Numpy and Pandas
Day 9: Common Python libraries – Matplotlib and Altair
Day 10: Exploratory Data Analysis
Day 11: Regression
Day 12: Regression in Python
Day 13: Classification
Day 14: Classification in Python
Day 15: Clustering
Day 16: Clustering in Python
Day 17: Obtaining insights from data in BA using Machine Learning
Day 18: NLP and Deep Learning
Day 19: Deep Learning for NLP in Python
Day 20: Foundations of Generative AI and LLM
Day 21: Gen AI support in BI tools
Day 22: Data Modelling and Management
Day 23: Querying Databases using Natural Language
Day 24: Case Study I
Day 25: Case Study II​​