Udemy

Data Analysis with Pandas and Python 2026

Enroll Now
  • 440 Students
  • Updated 2/2026
4.8
(07 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
16 Hour(s) 16 Minute(s)
Language
English
Taught by
Tech With Mala
Rating
4.8
(07 Ratings)

Course Overview

Data Analysis with Pandas and Python 2026

Learn how to use the Python's powerful pandas library for data analysis and manipulation.

Learn Data Analysis with Pandas and Python with hands on experience.

We will walk you step-by-step instructions on how to download and install Python Anaconda Distribution, Python/PyCharm IDE, Jupyter notebook, various fundamental concepts of Python programming. You will develop new skills and improve your understanding of all the concepts.

We will cover the following topics:

  • Python Anaconda distribution, Jupyter notebook overview

  • Creating Pandas dataframes by reading data from the datasets and writing the data back to the datasets

  • How to apply Pandas functions like head, tail, describe, info and shape, etc.

  • Perform data selection, filtering data

  • Cleaning data, treating missing values.

  • How to use isin, drop, drop_duplicates, rename, etc to do data analysis

  • How to group the data, pivoting, sorting, concat, merge, join the data

  • Pandas Series with examples

  • Python introduction, installation and setup

  • Python indentation, comments, escape characters and constants

  • Python flow control - if statement, else statement, for loop, while loop

  • Python pattern programs using loops

  • Python datatypes - int, float, complex, bool, str, range, list, tuple, set, frozenset, dict, bytes, bytearray, None

  • Python operators - Arithmetic, Relational, Equality, Logical, Bitwise, Assignment, Ternary, Special

  • Python statements - Input and output statements

  • And many more..

You will get lifetime access and more to come.

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.

This course is designed to give you the Python skills you need to get a job as a software engineer or a developer. By the end of the course, you will understand Python so well and be able to build your own Python applications.

After going through this course, several students have got enough knowledge to get their first job or promote to the next level in their career.


Each concept is explained with practical examples to better understand the theory. This is the course to advance your career and gain the knowledge required for absolute beginners. So, what are you waiting for? Go ahead and enroll..

Happy learning!!

Course Content

  • 8 section(s)
  • 139 lecture(s)
  • Section 1 Python Introduction, Installation and Setup
  • Section 2 Python Indentation and comments, Escape characters, Constants and Identifiers
  • Section 3 Python Flow control
  • Section 4 Python Data types
  • Section 5 Python Operators
  • Section 6 Python Statements
  • Section 7 Python Anaconda Distribution and Jupyter notebook overview
  • Section 8 Python for Data Science - Data Analysis or Data Manipulation Using Pandas

What You’ll Learn

  • Learn to do data analysis and data manipulation on 1 dimensional, 2 dimensional datasets using Panadas numerous methods., Learn performing various operations like aggregating, grouping, pivoting, concat, merge, join, sorting, filtering, and many more., Learn how to read, write datasets, and select row/column data by applying conditions., Learn to clean the data, treat the missing values present inside the dataframes., Learn Python fundamentals - Identifiers, Flow control, Data types, Operators, and many more.


Reviews

  • R
    Ryan Nelson
    5.0

    Thank you for making this course! I have learned a lot of new things, concepts are explained clearly.

  • J
    John Hansen
    5.0

    This is one of the best course to master Pandas library. Well structured and easy to follow. Great teaching skills!

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed