Foundational Python Programming – From syntax and loops to file handling, tailored for data tasks.
Numerical Operations with NumPy – Efficient handling of arrays, reshaping, broadcasting, and statistical operations.
▪ SQL for Analysts – Writing complex queries, joins, subqueries, aggregates, views, and stored procedures.
▪ Google Data Studio – Create visually appealing dashboards with filters and interactive elements.
▪ Product & Business Analysis – Retention metrics, cohort analysis, user behavior and funnel analysis.
▪ GenAI for Data Analysts – Automate report generation, smart dashboards, AI-powered insights & prompt engineering.
▪ Placement Support – 1-on-1 interview prep, resume & LinkedIn optimization, mock interviews, and job referrals.
Data Manipulation with Pandas – Real-world case studies using Series, DataFrames, merging, cleaning, filtering, groupby, etc.
Data Visualization – Master charts, dashboards, and storytelling using Matplotlib, Seaborn, and Power BI.
▪ Advanced Excel for Analytics – Lookup functions, pivot tables, Power Query, What-if Analysis for dynamic insights.
▪ Statistics & Probability – Learn concepts like mean, median, standard deviation, distributions, and hypothesis testing.
▪ Basic Machine Learning – Classification, regression, model evaluation using scikit-learn.
▪ Capstone Project – Full-scale real-world project combining tools and techniques learned.
Master Data Analytics from scratch while unlocking the power of Generative AI tools! This course blends traditional analytics with cutting-edge Gen AI applications to prepare you for real-world data roles. Learn Python, Pandas, NumPy, SQL, Power BI, Excel, and more—then go beyond by integrating Gen AI for automating reports, generating insights, and enhancing productivity. Whether you're a fresher, working pro, or career switcher, this step-by-step program gives you the skills to clean, visualize, analyze, and present data like a pro—plus apply Gen AI to save hours of manual work. With hands-on projects, case studies, and placement support, you’ll graduate job-ready with a portfolio that sets you apart. Start your journey towards becoming a next-gen data analyst today!
Question6: PremiumProducts: Pricing analysts need a report of the top 3 most expensive products in every category. If multiple products have the same price, they should share the rank, and the ranking sequence should not skip numbers (e.g., 1, 2, 2, 3). i have issue with this?
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did anyone received the notes for lectures?