The Complete Pandas Bootcamp 2022 Data Science with Python

The Complete Pandas Bootcamp 2022: 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)

Best Seller CourseComplete Machine Learning & Data Science Bootcamp 2022

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

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