Master Data Analysis
Transform raw data into meaningful insights. Learn data cleaning, visualization, statistical analysis, and storytelling with our comprehensive courses and projects.
Data Analysis Learning Path
Comprehensive roadmap to become a data analysis expert
A. Fundamentals
- Data Types & Structures
- Python Programming Basics
- Basic Statistics Concepts
- Introduction to SQL
- Spreadsheet Fundamentals
B. Data Wrangling
- Data Cleaning Techniques
- Handling Missing Data
- Data Transformation
- Feature Engineering
- Working with APIs
C. Data Visualization
- Matplotlib & Seaborn
- Interactive Visualizations
- Dashboard Creation
- Storytelling with Data
- Design Principles
D. Statistical Analysis
- Descriptive Statistics
- Inferential Statistics
- Hypothesis Testing
- Regression Analysis
- Time Series Analysis
E. Advanced Topics
- Exploratory Data Analysis
- Big Data Tools
- Geospatial Analysis
- Text Analysis
- Optimization Techniques
F. Business Applications
- Business Intelligence
- Financial Analysis
- Marketing Analytics
- Operations Analytics
- Data-Driven Decision Making
Essential Data Analysis Tools

Python
Programming language

Jupyter
Interactive notebooks

Pandas
Data manipulation

NumPy
Numerical computing

Scikit-learn
Machine learning

Matplotlib
Data visualization

Plotly
Interactive viz

R
Statistical computing

Spark
Big data processing

Excel
Spreadsheets
Hands-on Data Analysis Projects
Practical projects to demonstrate your analytical skills
Exploratory Data Analysis
Analyze datasets to uncover patterns, anomalies, and key insights through statistical visualization techniques.
Retail Sales Analysis
Extract business insights from sales data to identify trends and optimize revenue strategies.
COVID-19 Data Analysis
Analyze pandemic spread patterns and vaccination effectiveness across regions.
Sentiment Analysis
Classify customer feedback sentiment using natural language processing techniques.
Geospatial Analysis
Visualize location-based data patterns using heatmaps and geographic clustering.
Stock Market Analysis
Predict market trends using historical data analysis and technical indicators.
Popular Data Analysis Datasets
Dataset | Type | Size | Use Cases | Source |
---|---|---|---|---|
Titanic | Tabular | 891 passengers | Survival analysis | Kaggle |
Iris | Tabular | 150 samples | Classification | UCI |
World Happiness | Tabular | 150+ countries | Correlation analysis | World Happiness Report |
NYC Taxi Trips | Tabular | Millions of trips | Time series analysis | NYC TLC |
Amazon Reviews | Text | Millions of reviews | Sentiment analysis | Amazon |
COVID-19 | Time series | Global data | Pandemic analysis | Johns Hopkins |
Data Analysis Roadmap
Follow this structured path from beginner to data analysis expert
Foundations
Build your mathematical and programming foundation
- Python Programming
- Basic Statistics
- Spreadsheets


Data Wrangling
Master the art of cleaning and preparing data
- Pandas & NumPy
- Data Cleaning
- SQL Basics
Exploration
Learn to explore and understand your data
- Descriptive Statistics
- Data Visualization
- Correlation Analysis


Statistical Analysis
Dive deeper into statistical methods
- Hypothesis Testing
- Regression Analysis
- Time Series
Business Applications
Apply your skills to real business problems
- Financial Analysis
- Marketing Analytics
- Data Storytelling
