The Complete Python Pandas Course

Learn Pandas with 100+ hands-on live running coding examples and exercises.

Software DevelopmentDuration: 3 Hours Certificate on CompletionAmit Diwan
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Select type of training :
$ 149
Instructor-led live sessions
$ 199
6 months access to recorded sessions
$ 249
Live sessions + 6 months recordings
No batches available

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About This Course

Welcome to The Complete Python Pandas Course. Pandas is a powerful and easy-to-use open-source tool built on top of the Python programming language. It is useful for data analysis and manipulation. Python with pandas is widely used in Statistics, Finance, Neuroscience, Economics, Web Analytics, Advertising, etc. To work with data sets, clean them, and make them relevant for Data Science is what Pandas do. With that, easily load and read data sets in Excel, CSV, JSON, XML, etc. formats with Pandas and work on them. Easily clean the wrong format data, remove duplicates, and do other tasks with Pandas.

Features:

Analyze Data

Manipulate Data

Columns can be inserted and deleted from a DataFrame

Group the rows/ columns of a DataFrame/ Series

Plotting is possible

Read CSV/ JSON

Fix the inaccurate data

Clean the Data completely

Easy to handle the missing data in the form: NaN, NA, or NaT

Course Objectives

Learn Pandas from scratch

Learn Pandas for Data Science and Data Analysis

Acquire essential Pandas skills

Practice your skills with 100+ coding exercises

Learn Pandas best practices

Be able to program in Pandas professionally.

Learn to read CSV and Excel files with ease in Python

Course Prerequisites

A computer with an Internet connection Python knowledge

Target Audience

Those who want to learn Pandas by doing. This course includes 50+ hands-on exercises

Gain a deep understanding of Python Pandas

Python Libraries for Beginners

Get started with Pandas

Learn all the topics in Pandas

Curriculum

0 Lessons | 3 Hours
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The Complete Python Pandas Course

Pandas – Introduction & Setup

  1. Pandas – Introduction & Features
  2. Install & Setup Pandas

Pandas - Plotting

  1. Plot a DataFrame in Pandas

Pandas - DataFrames

  1. Create a Pandas DataFrame (Run first program)
  2. Pandas DataFrames – Attributes & Methods
  3. Join Pandas DataFrame
  4. Concatenate Pandas DataFrames

Pandas - Series

  1. Create a Pandas Series
  2. Pandas Series – Attributes & Methods
  3. Combine two Pandas series

Pandas - Categorical

  1. Categorical Data in Pandas
  2. Working with Categories in Pandas

Pandas – Read CSV, Excel

  1. Read CSV in Pandas
  2. Read Excel in Pandas

Pandas – Indexing and Selecting

  1. Indexing in Pandas
  2. Select multiple columns in Pandas

Pandas - Data Manipulation

  1. Add a new column in Pandas
  2. Delete rows/ columns in Pandas
  3. Iterate over rows and columns in Pandas
  4. Sorting in Pandas

Pandas – Data Cleaning

  1. Handle Duplicates in Pandas
  2. Clean the Data in Pandas

Pandas - Operations

  1. String Operations in Pandas
  2. Date Time Operations in Pandas
  3. Remove Whitespace in Pandas
  4. Group the Data in Pandas
  5. Statistical Functions in Pandas

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