The Complete Pandas Bootcamp 2023: Data Science with Python
Pandas fully explained | 150+ Exercises | Must-have skills for Machine Learning & Finance | + Scikit-Learn and Seaborn
Welcome to the web´s most comprehensive Pandas Bootcamp with 34 hours of video content, 150+ exercises, and two large and comprehensive Final Projects to test your skills! This course has one goal: Bringing your data handling skills to the next level to build your career in Data Science, Machine Learning, Finance & co.
This course has five parts:
- Pandas Basics – from Zero to Hero (Part 1).
- The complete data workflow A-Z with Pandas: Importing, Cleaning, Merging, Aggregating, and Preparing Data for Machine Learning. (Part 2)
- Two Comprehensive Project Challenges that are frequently used in Data Science job recruiting/assessment centers: Test your skills! (Part 3).
- Application 1: Pandas for Finance, Investing and other Time Series Data (Part 4)
- Application 2: Machine Learning with Pandas and scikit-learn (Part 5)
What you’ll learn
- Bring your Data Handling & Data Analysis skills to an outstanding level.
- Learn and practice all relevant Pandas methods and workflows with Real-World Datasets
- Learn Pandas based on NEW Version 1.0 (the days of versions 0.x are over)
- Import, clean, and merge messy Data and prepare Data for Machine Learning
- Master a complete Machine Learning Project A-Z with Pandas, Scikit-Learn, and Seaborn
- Analyze, visualize, and understand your Data with Pandas, Matplotlib, and Seaborn
- Practice and master your Pandas skills with Quizzes, 150+ Exercises, and Comprehensive Projects
- Import Financial/Stock Data from Web Sources and analyze them with Pandas
- Learn and master the most important Pandas workflows for Finance
- Learn how to best transition from Versions 0.X to new Version 1.0
- Learn the Basics of Pandas and Numpy Coding (Appendix)
- Learn and master important Statistical Concepts with scipy
Recommended Pandas Programming Course
Python Data Science with Pandas: Master 12 Advanced Projects
Manage Finance Data with Python & Pandas: Unique Masterclass
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