Python for Data Science — 3-Hour Live Workshop
NumPy, Pandas, Matplotlib, and your first real ML pipeline — built and explained live, from raw data to actionable insights.
Harish Anbalagan
Founder, Amend Technologies LLP
About This Session
A full 3-hour live workshop that took participants from Python basics to a complete data analysis and ML pipeline in one sitting.
We started with NumPy array operations, moved into Pandas for data cleaning and transformation, built visualisations with Matplotlib and Seaborn, and finished by training a Logistic Regression model on a real dataset — evaluating it with confusion matrices and classification reports.
This session is now closed. Recordings are not sold separately. Watch this space for the next cohort.
What We'll Cover
- 01NumPy — arrays, broadcasting, vectorized operations
- 02Pandas — DataFrames, groupby, merge, missing data
- 03Matplotlib & Seaborn — data visualisation best practices
- 04Data cleaning pipeline on a real-world dataset
- 05Logistic Regression with sklearn end-to-end
- 06Model evaluation — confusion matrix, accuracy, F1 score
- 07Live Q&A on data science career paths
What You'll Walk Away With
- Manipulate and clean data with Pandas confidently
- Create professional charts and dashboards
- Build and evaluate a classification model
- Structure a complete data science project
Session Ended
₹99
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