Python for Data Analytics

EDA + business insights

₹15000.00 Career-focused Project-based

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Course curriculum

NumPy
Arrays, indexing, slicing, vectorization, and numerical operations.

Pandas
Series, DataFrames, CSV/Excel, filtering, sorting, GroupBy, merge/join, and pivot tables.

Data Cleaning
Missing values, duplicates, types, outliers, strings, and dates.

EDA
Descriptive analysis, distributions, correlations, segmentation, and trends.

Visualization
Matplotlib and Seaborn: line, bar, histogram, scatter, box, and heatmap.

Capstone: E-commerce Sales & Customer Analytics.