Data Science


Pandas Masterclass: Advanced Data Analysis with Pandas

Master Pandas library to Analyze, Manipulate & Visualize Big Data. Data Analysis with Pandas using Multiple Projects

4.58 (106 reviews)


9 hours


Aug 2021

Last Update
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What you will learn

Learn how to read different types of file formats using Pandas.

Learn about different data analysis functions in Pandas such as Melt, merge, pivot, cross tabulation etc.

Learn about handling missing values using Pandas.

Learn and excel handling Series and DataFrames using Pandas.

Learn about Pandas Arrays.

Learn handling Time data using Pandas.

Learn about Multi Indexing using Pandas.

Learn about Indexing in Pandas.

Learn about Rolling and Expanded Window Functions in Pandas.

Learn about Pandas Styling.

Learn about Andrew Curves, Autocorrelation plot, bootstrap plot, Lag plot, parallel coordinates.

Hands on Real-World Projects

Reading Tables from HTML Files using Pandas

Gain a deep and hands-on understanding of pandas


Welcome to Pandas Masterclass: Advanced Data Analysis and Visualisation with Pandas.

Pandas is a fast, flexible, easy-to-use open source data analysis and data manipulation library built on top of the python programming language.

It offers data structures and many operations for manipulating data.

Pandas allow many data manipulation operations such as merging, reshaping, cleaning, and data wrangling features.

Pandas library is widely used for data science/data analysis and machine learning tasks.

If you want to master the data analysis library-pandas then this course is perfect for you.

You will gain complete knowledge on Pandas library.

From reading datasets to analyzing them using the different manipulation functions.

Everything is included in this course.

In this course, you will cover the following topics:-

  • Reading different file formats

  • General functions of pandas

  • Handling Series

  • Handling Dataframe

  • Introduction to Arrays in Pandas

  • Handling time data

  • Styling data frame

  • Window functions

  • Visualization and plotting

  • Index Objects in Pandas

This course is made by keeping in mind the requirements of data analysts and data scientists while working on any project.

After completing this course you will be able to work on any data analysis project efficiently using pandas.

This is a great test for people who are learning the Python language and data science and are looking for new challenges.

Instructor Support - Quick Instructor Support for any queries.

I'm looking forward to see you in the course!

You will definitely love this course.

You will have access to all the resources used in this course.

Enroll now and become a pandas pro!!!


Pandas Masterclass: Advanced Data Analysis with Pandas
Pandas Masterclass: Advanced Data Analysis with Pandas
Pandas Masterclass: Advanced Data Analysis with Pandas
Pandas Masterclass: Advanced Data Analysis with Pandas


Introduction to Pandas

Introduction to Pandas

Different Types of Files or Sources of Datasets in Real World

Handling Flat Files using Pandas

Handling Excel Files using Pandas

Handling JSON Files using Pandas

Q and A

Reading Tables from HTML Files using Pandas

Reading Data from SQL Databases using Pandas

Handling SAS and SPSS Files using Pandas

Quiz on Reading Files using Pandas

General Functions in Pandas

Introduction to Melt Function in Pandas

Introduction to Pivoting in Pandas

Introduction to Cross Tabulation using Pandas

Introduction to Binning using Pandas

Introduction to Merge and Concat Operations in Pandas

Finding Missing Values using Pandas

Conversion of Data Types using Pandas

Evaluating Complex Equations using Pandas

Quiz on General Functions in Pandas

Handling Series using Pandas

Attributes in Series

Indexing and Iteration in Series

Binary Operations in Series

Groupby and Window Functions in Series

Descriptive Statistics in Series

Reindexing in Series

Handling Missing Data in Series

Reshaping and Sorting in Series

DateTime properties in Series

Quiz on Handling Series using Pandas

Handling DataFrames using Pandas

DataFrame Attributes

Indexing and Iteration in DataFrames

Binary Operations in DataFrames

Groupby and Window in DataFrames

Descriptive Statistics in DataFrames

Reindexing in DataFrames

Handling Missing values in DataFrames

Reshaping, Sorting and Transposing DataFrames

Join Operations in DataFrames

Handling Time Series Data

Plotting DataFrames

Serialization in DataFrames

Quiz on Handling DataFrames using Pandas

Introduction to Arrays in Pandas

Introduction to Pandas Arrays

Handling Date Time Data

Handling Time Delta Data

Handling Time Span Data

Handling Time Interval data

Handling Categorical Data

Handling Sparse Data

Handling Text and Boolean Data

Quiz on Introduction to Arrays in Pandas

Index Objects in Pandas

Introduction to Indexing in Pandas

Numerical Indexing using Pandas

Categorical Indexing using Pandas

Interval Indexing using Pandas

Multi Indexing using Pandas

Date Time Indexing using Pandas

Time Delta Indexing using Pandas

Period Indexing using Pandas

Date Offsets in Pandas

Quiz on Index Objects in Pandas

Window Functions in Pandas

Introduction to Window Functions

Introduction to Rolling Window Functions

Introduction to Expanded Window Functions

Quiz on Window Functions in Pandas

Styling DataFrames in Pandas

Introduction to Styling DataFrames using Pandas

Applications of Pandas Styling

Built-in Styles in Pandas

Real World Examples

Quiz on Styling DataFrames in Pandas

Visualisations and Plotting in Pandas

Introduction to Pandas Visualisation using Pandas

Introduction to Andrews Curves

Introduction to Autocorrelation Plot

Introduction to Bootstrap Plot

Introduction to Lag Plot for Time Series

Introduction to Parallel Coordinates

Introduction to Scatter Matrix

Quiz on Visualisations and Plotting in Pandas

Outro Section


How to Get Your Certificate of Completion

Bonus Section

Bonus Lecture


Suryakant21 August 2021

Course is more of an introduction to pandas, where they introduce to various possible uses of pandas. In depth knowledge of functions and methods is missing. Also could have added projects and hands on also. In the end a real life example to use the pandas knowledge would be a bonus.


7/10/2021100% OFFExpired


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