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Get your environment ready: install Anaconda, launch Jupyter, and write your first Python code. You'll also review essential Python skills—lists, dictionaries, loops—with a focus on data analysis use cases.
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Master NumPy arrays—the foundation of pandas. Learn vectorized operations, broadcasting, and universal functions to crunch numbers 10x faster than plain Python loops.
Dive into pandas: the Swiss Army knife for data analysis. Learn to load data from CSV/Excel, inspect, clean, and handle missing values—skills you'll use every day.
Combine datasets, reshape from wide to long, and slice-and-dice data with groupby. These techniques are essential for real-world messy data.
Work with dates and times in pandas. Learn to parse, resample, shift, and compute rolling statistics. Essential for stock data, sales trends, and sensor data.
Create publication-quality plots with matplotlib and seaborn. Then apply everything in two capstone projects: Indian census data analysis and a sales dashboard.
Saurav Singh
📌 All prices include 1% GST as per Indian tax regulations