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Python Pandas Programming with Coding Exercises

  • Development
  • Apr 27, 2025
SynopsisPython Pandas Programming with Coding Exercises, available at...
Python Pandas Programming with Coding Exercises  No.1

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

  • 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.
  • Who Should Attend

  • Aspiring data scientists and analysts looking to enhance their data manipulation skills.
  • Python developers seeking to expand their knowledge of data-centric libraries.
  • Professionals interested in learning how to handle and analyze data more efficiently using Python Pandas.
  • Target Audiences

  • Aspiring data scientists and analysts looking to enhance their data manipulation skills.
  • Python developers seeking to expand their knowledge of data-centric libraries.
  • Professionals interested in learning how to handle and analyze data more efficiently using Python Pandas.
  • 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 Pandas Programming with Coding Exercises  No.2
    Python AI ML DL DS Quiz Maker
    Python Artificial Intelligence Machine Learning Quiz Maker
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  • 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!