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Pandas with Python – Free Udemy Courses

Pandas with Python – Free Udemy Courses

Analyze data quickly and easily with Python’s powerful panda library

What you’ll learn

Pandas with Python – Free Udemy Courses

  • Perform a multitude of data operations in Python’s popular “pandas” library including grouping, pivoting, joining, and more!
  • Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
  • Learn hundreds of methods and attributes across numerous pandas objects
  • Resolve common issues in broken or incomplete data sets

Requirements

  • Basic/intermediate experience with Microsoft Excel or another spreadsheet software (common functions, lookups, Pivot Tables, etc)

  • Basic experience with the Python programming language

  • Strong knowledge of data types (strings, integers, floating points, booleans), etc

Description



Why learn about pandas?

If you’ve spent time in spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!



Data Analysis with Pandas and Python



introduces you to the popular



Pandas



library built on top of the Python programming language.



Pandas



is a powerhouse tool that allows you to do anything and everything with colossal data sets — analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!

I call it “Excel on steroids”!

Over more than 19 hours, I’ll take you step-by-step through Pandas, from installation to visualization! We’ll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We’ll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.



Data Analysis with Pandas





and Python



is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

Whether you’re a new data analyst or have spent years (*cough* too long *cough*) in Excel,



Data Analysis with pandas and Python



offers you an incredible introduction to one of the most powerful data toolkits available today!

1. Introduction Series & DataFrame

2. Date Range & Inspecting Data

3. Indexing & Slicing on DataFrame – 1

4. loc & iloc

5. Indexing & Slicing on DataFrame – 2

6. Concatenation & Descriptive Statistics

7. Merging DataFrames

8. Working with Text Data

9. Function Application & Loading data in Python

10. Loading Data from CSV, Excel & URL

11. Data Visualization using Pandas

12. What is Data Science

13. What is Machine Learning

Who this course is for:

  • Beginner Python developers curious about Data Science










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