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Data Science & Data Analysis

2 Lessons
All Levels

This comprehensive training program equips you with the skills to …

What you'll learn
• Introduction to data science, data analytics, and their applications
• Data collection, cleaning, and preprocessing
• Exploratory Data Analysis (EDA) with Python (Pandas, NumPy)
• Data visualization using Matplotlib, Seaborn, and Power BI/Tableau
• SQL for querying and managing databases
• Statistical concepts: probability, hypothesis testing, correlation, regression
• Basics of machine learning models (classification, regression, clustering)
• Working with real-world datasets and case studies
• Building dashboards and data reports
• Best practices for data storytelling and presentation
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