Analyze big data, uncover knowledge, and make data-driven decisions.
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Build a solid foundation in statistics – probability, hypothesis testing, regression analysis, and Bayesian thinking for data-driven decisions.
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Master SQL for data analysis – JOINs, window functions, CTEs, and optimization. Query databases like a professional data scientist.
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Create compelling and accurate data visualizations using Python, Tableau, and Power BI that drive better decision-making.
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Master the Python data science stack – NumPy, Pandas, Matplotlib, and Seaborn – with practical exercises and real dataset analysis.
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A complete roadmap for breaking into data science – the skills you need, portfolio projects to build, interview preparation, and salary expectations.
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