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Explore sports analytics through diverse projects, data scraping, and statistical analyses. Learn to predict outcomes, simulate games, and gain insights into various sports using data science techniques.
Learn essential data science skills: exploration, manipulation, cleaning, and analysis using Python, Pandas, SQL, and more. Ideal for beginners seeking practical knowledge.
Learn to plan, collect, clean, analyze, model, and deploy a data science project, with practical examples and portfolio-building opportunities.
Learn to create an impressive data science portfolio website using Github Pages, Hugo, and other tools to showcase your skills and projects effectively.
Comprehensive introduction to data science covering key concepts, skills, tools, and career paths. Offers practical advice and project ideas for beginners to start their journey.
Learn data science through hands-on Kaggle projects, from beginner to advanced. Explore real-world datasets, conduct exploratory analysis, and gain insights from studying others' code.
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