This course is designed with one goal: to elevate your data handling skills and empower your career in Data Science, Machine Learning, Finance, and beyond
What You’ll Learn
- Elevate your data handling and analysis skills to an expert level.
- Master essential Pandas methods and workflows using real-world datasets.
- Learn Pandas based on the latest Version 2.x, with insights into future updates (Version 3.x).
- Import, clean, and merge messy datasets to prepare them for machine learning.
- Complete a full machine learning project from start to finish using Pandas, Scikit-Learn, and Seaborn.
- Analyze, visualize, and interpret data effectively with Pandas, Matplotlib, and Seaborn.
- Reinforce your learning with quizzes, 150+ exercises, and comprehensive projects.
- Fetch and analyze financial/stock data from web sources using Pandas.
- Develop critical Pandas workflows tailored for financial applications.
- Gain foundational coding skills in Pandas and NumPy (detailed in the Appendix).
- Understand key statistical concepts with Scipy.
Course Highlights
- 36.5 hours of on-demand video content
- 24 coding exercises to sharpen your skills
- 47 articles to deepen your knowledge
- 16 downloadable resources for offline learning
- Accessible on both mobile and TV
- Certificate of completion
Who Should Enroll?
- Aspiring data scientists looking to build or enhance their data manipulation expertise.
- Professionals in data science aiming to refine their Pandas skills.
- Individuals seeking to transition from Excel to more robust tools for research and data projects.
- Investment and finance professionals who have outgrown Excel and need advanced solutions.
