Data Science · Level 2

Python for Data Analysis

By SRTR Academy Faculty

4 modules · 17 lessons · 9 videos · 14 hrs

NumPy, Pandas, data cleaning, exploratory data analysis, Matplotlib/Seaborn visualization

What you will learn

Module 1: Python & NumPy Essentials
- 🎬 Python refresher for data work — free preview
- 📄 NumPy arrays and vectorized operations
- 🎬 Array slicing, indexing, and reshaping
- 📄 Broadcasting and performance tips
Module 2: Pandas for Data Wrangling
- 🎬 Series and DataFrames deep dive — free preview
- 📄 Reading data: CSV, Excel, JSON, SQL
- 🎬 Filtering, sorting, and grouping
- 📄 Handling missing data and duplicates
- 🎬 Merging, joining, and concatenating datasets
Module 3: Exploratory Data Analysis (EDA)
- 🎬 Descriptive statistics with Pandas — free preview
- 📄 Distribution analysis and outlier detection
- 🎬 Feature correlations and relationships
- 📄 EDA workflow best practices
Module 4: Data Visualization
- 🎬 Matplotlib fundamentals and customization — free preview
- 📄 Seaborn statistical plots
- 🎬 Interactive plots with Plotly
- 📄 Building a complete EDA report