A comprehensive guide to becoming a Data Analyst, step-by-step learning path, courses, tools, and project ideas.
Understand fundamental data concepts and thinking
Master spreadsheet basics for data manipulation
Build a solid foundation in statistical concepts
Learn Python for data manipulation and analysis
Master database querying and management
Learn to create effective data visualizations
Understand and apply machine learning algorithms
Build a portfolio of data science projects
Sharpen your skills with challenges and competitions
Key references and learning materials for your journey