Learn Python, Data Analytics, and Data Science through a complete, practical learning path designed for beginners and aspiring data professionals. Starting from Python fundamentals, the course progresses through NumPy, Pandas, data visualization, SQL, Machine Learning, Deep Learning, and real-world projects.
Course Outcomes
Clean, transform, and preprocess datasets
Perform exploratory data analysis (EDA)
Create meaningful visualizations using Matplotlib and Seaborn
Work with SQL and databases
Understand and implement Machine Learning algorithms
Build and evaluate predictive models
Understand the fundamentals of Deep Learning
Work with real-world datasets
Develop end-to-end data science projects
Apply Python to practical business and data problems
Understand the basics of model deployment and project presentation
Build a portfolio demonstrating Python and Data Science skills
