Pandas Masterclass 2022: Advanced Data Analysis with Pandas

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

4.05 (223 reviews)
Udemy
platform
English
language
Data Science
category
22,575
students
9 hours
content
Mar 2022
last update
$74.99
regular price

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.

Description

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 of 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 using Pandas.

  • General functions of pandas.

  • Handling Series using Pandas.

  • Handling Dataframe using Pandas.

  • Introduction to Arrays in Pandas

  • Handling time data using Pandas.

  • Styling data frame using Pandas.

  • Window functions using Pandas.

  • Visualization and plotting using Pandas.

  • 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!!!

Content

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

Conclusion
How to Get Your Certificate of Completion

Bonus Section

Bonus Lecture

Screenshots

Pandas Masterclass 2022: Advanced Data Analysis with Pandas - Screenshot_01Pandas Masterclass 2022: Advanced Data Analysis with Pandas - Screenshot_02Pandas Masterclass 2022: Advanced Data Analysis with Pandas - Screenshot_03Pandas Masterclass 2022: Advanced Data Analysis with Pandas - Screenshot_04

Reviews

Ackim
August 22, 2023
Yes, it was a good match. I have been learning machine learning and this course has helped me handle manipulation of data.
Rahul
January 19, 2023
At the beginning of every video, the process is getting repeated. The time could have been saved and its annoying listening same steps every time.
Mahesh
December 13, 2022
The course content was very helpful and also the hands on was amazing. love the way you teach. Thank you so much for this beautiful course.
Jayanta
November 3, 2022
Excellent. It's really great tutorials ,for those who will improve his/her skills and knowledge of pandas. Thanks & Regards.
Arun
August 1, 2022
Excellent course. This course covers a vast amount of very useful information for data analysis with Pandas. A lot of information about relevant python libraries. Different data sets to analyze and very knowledgeable instructor. Thank you very much! I learned a lot! Highly recommend for beginners!
Nazir
June 30, 2022
One of the best course on Udemy! I will recommend this course to everyone who wanna learn Pandas from zero
Syed
May 6, 2022
Awesome course! Best choice for all, who wants to learn complex Pandas. It is very well explained, organized and detailed. Highly recommend for beginners!
Swapnil
May 5, 2022
Wonderful course!!! The course is precise and interesting, based on the every concept of Pandas. Nice and clear explanation to follow along with the code. Exactly what I expected and wanted so far. I highly recommend this course.
Rida
May 5, 2022
The course is very informative and teaches everything from scratch about Pandas. The content is presented clearly and concisely even small things are explained thoroughly. I would recommend it to all IT people. I really thank instructor of this course.
Sanket
May 5, 2022
Great course! Very clear and the course is very well-structured. There are numerous examples to practice. I found the course fun and easy to follow. Thanks to the instructor! I highly recommend this course.
Naydu
January 18, 2022
Excellent Course with very detailed curriculum. Every lesson is rightly paced. Quiz and explanations were quite helpful
Petronel
October 9, 2021
I've taken many computer courses on Udemy and elsewhere. This is the best course that I have taken. The instructor knows Python and Pandas and their uses in data analysis. More importantly she knows how to teach.
Nourrafii
October 9, 2021
I'm still a beginner at Python. Even so, it was simple for me to follow along the course. I am excited to venture deeper into practicing pandas and python.
Israr
October 9, 2021
The instructor was very detailed and the video duration's were perfect.easy to understand course that goes deep into Pandas. The examples and the pace are perfect. I highly recommend it.
Ankur
October 9, 2021
soooo good, very informative and clear. thank you , very enthusiastic, describes concepts clearly. Suitable for all experience levels

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7/10/2021100% OFF
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4113716
udemy ID
6/10/2021
course created date
7/10/2021
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