Python Pandas Programming with Coding Exercises
- Development
- Apr 27, 2025

Python Pandas Programming with Coding Exercises, available at $54.99, has an average rating of 2.25, with 30 lectures, 2 quizzes, based on 2 reviews, and has 1000 subscribers.
You will learn about How to create, manipulate, and analyze data using Pandas DataFrames and Series. Techniques for cleaning, preprocessing, and preparing data for analysis. Methods to merge, join, and aggregate data for insightful analysis. Practical skills in visualizing data and generating reports using Pandas. This course is ideal for individuals who are Aspiring data scientists and analysts looking to enhance their data manipulation skills. or Python developers seeking to expand their knowledge of data-centric libraries. or Professionals interested in learning how to handle and analyze data more efficiently using Python Pandas. It is particularly useful for Aspiring data scientists and analysts looking to enhance their data manipulation skills. or Python developers seeking to expand their knowledge of data-centric libraries. or Professionals interested in learning how to handle and analyze data more efficiently using Python Pandas.
Enroll now: Python Pandas Programming with Coding Exercises
Summary
Title: Python Pandas Programming with Coding Exercises
Price: $54.99
Average Rating: 2.25
Number of Lectures: 30
Number of Quizzes: 2
Number of Published Lectures: 30
Number of Published Quizzes: 2
Number of Curriculum Items: 42
Number of Published Curriculum Objects: 42
Number of Practice Tests: 2
Number of Published Practice Tests: 2
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Unlock the full potential of Python’s powerful Pandas library in this comprehensive course, Python Pandas Programming with Coding Exercises. This course is designed to help you master data analysis and manipulation with Pandas, one of the most essential tools in a data scientist’s toolkit. Whether you’re a beginner eager to dive into data science or an experienced programmer looking to sharpen your skills, this course provides everything you need.
Why is learning Pandas necessary? In today’s data-driven world, the ability to efficiently manipulate, analyze, and visualize data is crucial across various industries. Pandas is the go-to library for these tasks in Python, and mastering it opens the door to a multitude of opportunities in data science, machine learning, and beyond.
Throughout the course, you’ll work on coding exercises that cover a wide range of topics, including:
DataFrames and Series creation and manipulation
Importing and exporting data from various formats (CSV, Excel, etc.)
Data cleaning and preprocessing techniques
Grouping, merging, and joining datasets
Advanced data manipulation techniques
Handling time series data
Visualization with Pandas
Each exercise is designed to reinforce your understanding and build confidence in using Pandas for real-world applications. By the end of the course, you’ll have the skills to tackle any data-related challenge with ease.
Instructor Introduction: Faisal Zamir, a seasoned Python developer with over 7 years of teaching experience, is your guide throughout this course. Faisal’s expertise in Python programming and data analysis ensures that you’ll receive top-notch instruction and valuable insights.
30 Days Money-Back Guarantee: We stand behind the quality of this course. If you’re not satisfied, we offer a 30-day money-back guarantee, no questions asked.
Certificate at the End of the Course: Upon completing the course, you’ll receive a certificate that showcases your newly acquired skills in Python Pandas, a valuable addition to your professional portfolio.
Course Curriculum
Chapter 1: Introduction to Pandas
Lecture 1: Introduction to Pandas
Lecture 2: Lesson 01
Lecture 3: Coding Exercises with Solutions
Chapter 2: Data Selection and Filtering
Lecture 1: Data Selection and Filtering
Lecture 2: Lesson 02
Lecture 3: Coding Exercises with Solutions
Chapter 3: Data Cleaning and Preprocessing
Lecture 1: Data Cleaning and Preprocessing
Lecture 2: Lesson 03
Lecture 3: Coding Exercises with Solutions
Chapter 4: Data Manipulation
Lecture 1: Data Manipulation
Lecture 2: Lesson 04
Lecture 3: Coding Exercises with Solutions
Chapter 5: Aggregation and Grouping
Lecture 1: Aggregation and Grouping
Lecture 2: Lesson 05
Lecture 3: Coding Exercises with Solutions
Chapter 6: Merging and Joining Data
Lecture 1: Merging and Joining Data
Lecture 2: Lesson 06
Lecture 3: Coding Exercises with Solutions
Chapter 7: Pivoting and Reshaping Data
Lecture 1: Pivoting and Reshaping Data
Lecture 2: Lesson 07
Lecture 3: Coding Exercises with Solutions
Chapter 8: Time Series Analysis
Lecture 1: Time Series Analysis
Lecture 2: Lesson 08
Lecture 3: Coding Exercises with Solutions
Chapter 9: Advanced Data Operations
Lecture 1: Advanced Data Operations
Lecture 2: Lesson 09
Lecture 3: Coding Exercises with Solutions
Chapter 10: Data Visualization with Pandas
Lecture 1: Data Visualization with Pandas
Lecture 2: Lesson 10
Lecture 3: Coding Exercises with Solutions
Instructors

Python AI ML DL DS Quiz Maker
Python Artificial Intelligence Machine Learning Quiz Maker
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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