Pandas For Beginners

Pandas for Absolute Beginners

What you will learn

Create a data frame

Understand the basics in Pandas Series

Index and Rename columns

Manipulate data


Welcome to my course on Pandas for beginners. Pandas is a data analysis program built on Python.

Interestingly, Pandas has lots of functions to help you analyze, clean and manipulate data. it also comes with great documentation to help programmers and learners when stuck while performing analysis on their data.

This course is a very short course to get learners started with the basics in Pandas using or while exploring some of Pandas’ very simple data manipulation and analysis methods.

These are some simple exercises we would do in the lesson;

Creating data frames and working with Pandas series

Inserting and dropping columns

Pandas Profiling( This package is very useful since with just a few lines of codes, a generated summary report on your data is achieved).

Renaming and Indexing data

Finding unique values

Get excited about data manipulation, data preparation, sorting, blending, and data cleaning techniques with Pandas Data Frame to transform jumbled data into a final pre-analysis output. Pandas is the most widely used Python data science library for precisely this reason, and data scientists at Google, Facebook, JP Morgan, and virtually every other big company that analyzes data utilize Pandas.

At the time of creating this contents, Python 3 was the python version used in the course development.




Python download and installation
Pandas installation/Overview

Pandas Profiling

Pandas Profiling

Pandas Series and Data Frame

Pandas Series
Pandas Data Frame

Pandas profiling

Pandas Profiling

Pandas Datatypes, Index,Values,Columns Method

Datatypes || Index || Values || Columns Method

Pandas Unique Describe Shape Info Methods

Unique || Describe || Shape || Info Methods

Pandas MinMax Methods

MinMax Methods

Pandas Comparison Operator Method 1

Comparison Operator Method 1

Pandas Renaming Columns

Renaming Columns

Pandas indexing a dataset

Indexing a dataset

Pandas Insert Column || Drop Column

Insert Column || Drop Column

Pandas-isNull method

isnull method

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