This comprehensive Data Science course takes learners from foundational concepts to advanced real-world applications. It covers statistics, Python programming, data analysis, machine learning, and deployment. The course is designed with hands-on projects, case studies, and industry-relevant workflows to ensure practical expertise.
Understand the Data Science lifecycle
Perform data cleaning and preprocessing
Analyze datasets using Python (Pandas, NumPy)
Create impactful data visualizations
Apply statistical methods for insights
Build machine learning models
Evaluate and optimize models
Work on real-world projects
Deploy models into production (basic level)
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