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Python Data Analysis and Visualization Mastery Roadmap
This roadmap takes you from basic Python to expert-level data analysis and visualization. Through a series of hands-on milestones, you'll learn to manipulate, analyze, and visualize data, work with databases, build dashboards, apply statistics and machine learning, and communicate insights effectively.
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12 weeks
21 milestones, 204 steps
Last updated
1/17/2026
Created
1/17/2026
Total Enrollments
0
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94
Who This Roadmap Is For
Individuals who have a foundational understanding of Python and Excel, are comfortable with basic programming, and are looking to become experts in data analysis, visualization, and data‑driven decision making for career advancement.
What You'll Learn
- Pandas for data manipulation and analysis
- NumPy for efficient numerical computation
- Matplotlib and Seaborn for static visualizations
- Advanced statistical concepts and hypothesis testing
- Time‑series analysis and forecasting
- Data cleaning, preprocessing, and feature engineering
- Excel integration and automation
- SQL fundamentals and advanced querying
- Database design and data warehousing concepts
- Introductory machine learning with scikit‑learn
- Model evaluation, validation, and hyper‑parameter tuning
- Interactive dashboards with Plotly and Dash
- Automated reporting using Excel and PowerPoint
- Performance optimization in Python (vectorization, parallelism)
- Cloud storage fundamentals (AWS S3, GCP)
- Data governance, ethics, and best practices
Prerequisites
- Basic Python syntax and programming concepts
- Some familiarity with Excel (reading/writing files)
- Motivation to advance a data‑analysis career
Roadmap Structure
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