Data Analysis UnderStanding Statistics Descriptive Statistics Interential Statistics Probability Theory Hypothesis Testing Regression Analysis Variance Analysis Mathematics Linear Algebra Calculus Graph Theory Optimizations Programming Skills Python R SQL Data Cleaning & Preparation Visualization&Communication Database Management SQL-Based Systems NoSQL Databases NewSQL Databases Data Warehousing Data Visualization Tools Tableau Power BI Matplotlib Seaborn GGplot D3.js Machine Learning Supervised Learning UnSupervised Learning Reinforcement Learning Neural Networks Deep Learning NLP Data Collection Methods Web Scraping API Utilization Survey Design Database Querying File Manipulation Big Data Tools Hadoop Spark Kafka Data Cleaning Techniques Handling Missing Data Outlier Removal Normalization Encoding Categorical Variables Data Modelling Concepts Model Validation Overfitting & Underfitting Model Evaluation Metrics Feature Selection & Engineering Software Engineer Analysis Version Control(Git) Testing Integration & Deployment Containerization(Docker) Ethical Data Analysis Data Privacy Bias & Fairness Interpretability & Explainability Reproducibility

For detailed explanations and theory, visit the Complete Data Analysis Roadmap Notes.