A Data Science course curriculum typically includes topics like Python/R programming, statistics, machine learning, data visualization (Tableau, Power BI), data wrangling, SQL, and big data tools (Hadoop, Spark). Advanced modules cover deep learning, natural language processing (NLP), and AI. Practical learning through real-world projects, case studies, and capstone projects ensures participants gain industry-relevant exper...
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