Course guide · Sharad Khare
Data Science and Machine Learning With Python
Learn Python, NumPy, Pandas, Matplotlib, SciPy, Scikit-Learn, machine learning, model building, and data analysis.
Videos stream on Udemy. This page is the full on-site guide — overview, audience, prerequisites, and learning outcomes — written by Sharad Khare.
Overview
A comprehensive Hindi-language path through the modern data science stack. Starting from Python fundamentals, you progress through NumPy, Pandas, visualization, statistics, and scikit-learn until you can build and evaluate machine learning models on real datasets — not just follow notebook recipes.
What you will learn
- Python for data work: variables, control flow, functions, and file handling
- NumPy arrays, broadcasting, and vectorized operations
- Pandas for cleaning, merging, grouping, and exploratory analysis
- Matplotlib and Seaborn for publication-quality charts
- Statistics and probability foundations for data decisions
- Scikit-learn pipelines: train/test splits, models, metrics, and tuning
- End-to-end mini projects that mirror workplace deliverables
Who this course is for
Hindi-speaking learners who want one structured program covering data science end-to-end, career switchers targeting analyst or ML roles, and professionals who learn best in their native language.
Prerequisites
No programming background required; the course builds from zero.
How enrollment works
Sharad Khare hosts structured video lessons on Udemy for convenient playback, progress tracking, and certificates. Use the button above to open the official course page. Pricing and promotions are set by Udemy. Many learners pair video lessons with the free note packs on this site’s Notes page for offline review.
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