[Udemy Course] The Complete Pandas Bootcamp 2020 Data Science with Python

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

Welcome to the web´s most comprehensive Pandas Bootcamp with 30+ hours of structured video content and 150+ exercises! 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 is structured in four parts, beginning from zero with all the Pandas Basics (Part 1). Part 2 is the heart of this course and shows the complete data workflow: Importing, Cleaning, Merging, Aggregating, Grouping, and Preparing Data for Statistics & Machine Learning. Finally, you can test your new skills in a Comprehensive Project Challenge that is frequently used in Data Science job applications/assessment centres (Part 3). In the last part of this course (Part 4), you will learn how to import, handle, and work with (financial) Time Series Data.

Why should you learn Pandas?

The world is getting more and more data-driven. Data Scientists are gaining ground with $100k+ salaries. It´s time to switch from soapbox cars (spreadsheet software like Excel) to High Tuned Racing Cars (Pandas)!

Python is a great platform/environment for Data Science with powerful Tools for Science, Statistics, Finance, and Machine Learning. The Pandas Library is the Heart of Python Data Science. Pandas enables you to import, clean, join/merge/concatenate, manipulate, and deeply understand your Data and finally prepare/process Data for further Statistical Analysis, Machine Learning, or Data Presentation. In reality, all of these tasks require a high proficiency in Pandas! Data Scientists typically spend up to 85% of their time with manipulating Data in Pandas.

Can you start right now?

A frequently asked question of Python Beginners is: “Do I need to become an expert in Python coding before I can start working with Pandas?”

The clear answer is: “No! Do you need to become a Microsoft Software Developer before you can start with Excel? Probably not!”

You require some Python Basics like data types, simple operations/operators, lists and numpy arrays. In the Appendix of this course, you can find a 4 hours Python crash course. This Python Introduction is tailor-made and sufficient for Data Science purposes!

In addition, this course covers fundamental statistical concepts (coding with scipy).   

As a Summary, if you primarily want to use Python for Data Science or as a replacement for Excel, then this course is a perfect match!

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Product Details: https://bit.ly/3nB3vNA

File size: 12.3GB

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Enjoy learning!