Data Science
Build practical data science skills with Python, SQL, statistics, visualization, and analytical workflows that transform raw information into meaningful business decisions.
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Introduction to Statistical Analysis for Data Scientists
Build a solid foundation in statistics – probability, hypothesis testing, regression analysis, and Bayesian thinking for data-driven decisions.
SQL for Data Scientists: From Basics to Advanced Queries
Master SQL for data analysis – JOINs, window functions, CTEs, and optimization. Query databases like a professional data scientist.
Data Visualization Best Practices: Tell Stories with Data
Create compelling and accurate data visualizations using Python, Tableau, and Power BI that drive better decision-making.
Python for Data Science: A Complete Hands-On Tutorial
Master the Python data science stack – NumPy, Pandas, Matplotlib, and Seaborn – with practical exercises and real dataset analysis.