Data Wrangling with Python is an essential skill to learn in the field of data science and data analysis where everything is related to data and handling. Data is extracted from various sources such as social media, datasets, audio, video, images, multimedia, and more. Hence, it becomes important to clean and process data in an organized format.
In this article, we will learn how to master data wrangling with Python courses for free. These free courses will help you master data wrangling skills in Python and apply them while extracting useful insights from data.
What Is Data Wrangling In Python?
Data Wrangling is a method used in the Python programming language which converts raw and unprocessed data from one form to another making it more organized, recognizable, and stable.
Data wrangling consists of many processes such as data cleaning, data merging, remediation, and more. Data wrangling is a process for cleaning, and organizing data in a more structured format. It helps in making decisions based on data and converting data into usable format.
It increases the readability and accuracy of a given data. More and more complex data can be handled and structured using data wrangling in Python.
5 Free Data Wrangling With Python Courses In 2025
Let us take an overview of some of the free data wrangling with Python courses available to help you in mastering Python programming language concepts. Check some of the most loaded handpicked courses below.
| Course Name | Duration |
| DataCamp – Pandas Foundations | Approximately 4 hours |
| Coursera – Introduction to Data Science in Python | 4 weeks (self-paced) |
| edX – Python for Data Science | 6 weeks (self-paced) |
| Kaggle – Data Cleaning | 2-3 hours (self-paced) |
| Codecademy – Learn Python 3 | Approximately 10 hours |
1. DataCamp Pandas Foundations
This course will help you learn about how to convert data into a form that makes it fit to analyze and use. You will learn about NumPy and its methods. This course also teaches you about data wrangling with Python and its fundamentals. You will learn how to work with data frames, perform data selection, handle missing data, and more.
Features of free course
- This course provides fundamental information about Python libraries such as Pandas, NumPy, Scikit Learn, and more.
- Learn how to perform data manipulation, data cleaning and more.
- This data wrangling with Python course is completely free of cost ✨
- You will need to pay to download the certificate after completing this course. 📒
2. Coursera: Introduction to Data Science In Python
This course covers everything you need to learn about data science through the Python programming language and its libraries. You will learn about data visualization, machine learning, data wrangling with Python, and other major concepts of data science.
This course will also provide free hands on experience working with data manipulation using pandas and how to visualize data.
Features of free course
- This course consists of 4.5 ⭐out of 5 stars on the platform from 27,100 reviews
- This is an intermediate course suitable for everyone who is familiar with Python programming.
- The course consists of a flexible schedule. 🎦
- You will learn about essential data science techniques and related frameworks.
- Some of the lessons are free and you will need to pay for a certificate. ✨
3. Python for Data Science with edX
This course provides essential data wrangling with Python techniques. You will learn how to manipulate data using libraries like Pandas and NumPy. Also, learn important fundamentals on how to clean and prepare data for analysis. This is a self paced course which also provides you with practice exercises.
Features of free course
- This is a self paced course with flexible class schedules.
- The course tutorials are available on the edX platform and on YouTube for free. 🆓
- You will need to pay to access the practice exercises and hands on training. 🎦
- Learn about important Python libraries and techniques used in data science.
4. Data Cleaning on Kaggle
Kaggle offers a free course focused on data cleaning, a crucial aspect of data wrangling with the Python process. You will learn techniques of how to handle missing values, correct data types, and deal with inconsistent data. This course also includes hands on exercise with real datasets.
Features of free course
- Learn how to handle missing values, scaling and normalization, parsing dates, encodings, inconsistent data entry, and more.
- Master efficient workflows for cleaning real world and messy data.
- Learn about important Python libraries and techniques used in data science. 🔍
- You will need to pay to access the practice exercises and hands on training. 🎦
5. Learn Python 3 with Codecademy
Get this exclusive course which covers the basics of Python programming language and data manipulation. You will learn fundamental programming concepts and how to apply them to data wrangling tasks with Python. This course also provides how to handle data with hands-on experience with real datasets.
Features of free course
- This course consists of 4.6 ⭐out of 5 with 10,381 ratings.
- This course is suitable for beginners with 13 projects
- You require no prerequisites for enrolling in this course. 📝
- This course provides tutorials on AI assistance for coding help, projects to apply new skills, quizzes
- Get a certificate of completion after paying for the course ✅
Get All In Python Course On PW Skills
Learn everything about Python programming and its libraries and build a strong foundation in Python programming with Data Structures and Algorithms in this Decode DSA with Python Course. Engage in interactive learning with hands on practice exercises. Master Python under the guidance of our industry experts and explore multiple career opportunities at top tech firms.
Learn about Python basics, cleaning data, data wrangling with Python, Lists, tuples, functions, OOPs, Files, Exception handling, and data structures and algorithms.
Features of this Python Course on PW Skills
- This is self paced learning and learning skills at your own pace.
- Build job ready portfolio with dynamic project portfolio.
- Get soft skills training and create impactful resume and linkedin profile
- Connect with the Alumni network of PW Skills learners
- Build a strong foundation for high growth career 🎦
- Attain industry renowned certification for internship and course completion. 📝
Data Wrangling with Python FAQs
Q1. What is Data Wrangling with Python?
Ans: Data Wrangling is a method used in Python programming language which converts raw and unprocessed data from one form to another making it more organised, recognizable and stable.
Q2. Why is Python popular for data wrangling?
Ans: Python is popular for data wrangling because of its simplicity and the availability of robust libraries such as Pandas, NumPy, and SciPy. These tools allow for efficient handling of large datasets and offer functions to perform operations like data cleaning, merging, and filtering.
Q3. What are the challenges in data wrangling?
Ans: Some of the common challenges in data wrangling given below.
Handling missing data or inconsistent data
Managing large datasets that consume significant memory
Detecting and resolving duplicate entries
Formatting data into the required structure for analysis
Q4. What is the best course to learn Data Wrangling with Python?
Ans: Learn data wrangling with Python with PW Skills and learn data structures and algorithms. Get complete concepts of data wrangling, data manipulation, data cleaning, data processing, and more.
