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Free Python Data Wrangling Course

Name: Basics of Python Data Wrangling
Rating: 4.53 (302 reviews)

Basics of Python Data Wrangling

4.53 Intermediate level 3.0 learning hrs 5.2K+ Learners

Learn Python data wrangling online for free when raw data needs cleanup, so data cleaning, transformation, RegEx, web scraping, time series handling, visualization, and analysis steps feel easier before modeling projects.

Instructor:

Dr. Bradford Tuckfield

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Skills you will gain

Data Cleaning

Data Transformation

Handling Time Series Data

Regular Expressions (RegEx)

Web Scraping

Data Visualization

+1 More

Key Highlights

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

About this course

Real datasets rarely arrive clean, which is why data wrangling becomes a practical skill before analysis or modeling. This free Python data wrangling course introduces data cleaning, data transformation, regular expressions, web scraping, handling time series data, data visualization, and statistical analysis so beginners can understand how raw data becomes usable.

The course is useful for learners searching for data wrangling in Python, a Python data cleaning course, or data wrangling training. It helps you see why missing values, messy formats, duplicate records, and unstructured webpage data can affect every later decision. Use it before deeper pandas, NumPy, exploratory data analysis, web scraping projects, feature engineering, dashboards, and machine learning workflows with cleaner project data.

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

Introduction to Data Wrangling

Explore a Webpage using Inspect

Introduction to RegEx

Finding Characters in a Text

Using Quantifiers to Match Patterns

Matching Groups of Characters

Introduction to Web Scraping

Reading, Scraping and Saving the data

Wrangling Text data using RegEx

Data Exploration

Get access to the complete curriculum once you enroll in the course

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Basics of Python Data Wrangling

4.53

3.0 Hours

Intermediate

5.2K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.53

★★★★

★ ☆

★

76%

★

☆

14%

★

☆

★

☆

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M Saad Rashid

5.0

★★★★ ★

“My Experience with the Python Data Wrangling Course Was Exceptional”

The provided materials, such as lecture notes, code samples, and additional readings, were thorough and easy to follow. The real-world datasets used in the examples made the learning process very practical and relevant.

Kirtan Rajani

5.0

★★★★ ★

Germany

“very nice and it was wonderful experience”

the website was very veru very very very best and the sound was perfect

Aarthi Chithruba Girija Sankar

5.0

★★★★ ★

United States

“Data scraping Regular expressions”

The instructor was engaging, instructions given were very interesting

Muhammad Usman Fakhar

5.0

★★★★ ★

France

“ The Data Wrangling Course Feedback ”

This course provided a comprehensive introduction to data wrangling techniques, emphasizing practical skills in cleaning, transforming, and preparing data for analysis. The content was well-structured, with clear explanations and hands-on exercises that reinforced learning. The use of real-world examples helped contextualize concepts and improve understanding. However, incorporating more advanced topics and real-life case studies could enhance the course's applicability for users seeking deeper expertise. Overall, it’s a valuable resource for anyone looking to build a strong foundation in data wrangling.

ABDULAZIZ ALHAMBRi

5.0

★★★★ ★

Saudi Arabia

“التعبير العادي الذي يتطابق مع أي حرف ليس بين الأقواس هو___________ خيارات الإجابة حدد خيارا […] [^] [^…] [\د]”

التعبير العادي الذي يتطابق مع أي حرف ليس بين الأقواس هو___________ خيارات الإجابة حدد خيارا […] [^] [^…] [\د]

Shashwat Karn

5.0

★★★★ ★

“GREAT LEARNING ,DETAILED .............................”

everything .............................................................

Muh.Alfatha Ramadhan

5.0

★★★★ ★

Indonesia

“Pergulatan Data Python yang mana mengubah data mentah menjadi format yang lebih terstruktur, bersih, dan siap untuk dianalisis.”

Pergulatan data Python melibatkan proses pembersihan, analisis, dan visualisasi data menggunakan berbagai pustaka seperti Pandas, NumPy, Matplotlib, dan Seaborn untuk mengambil wawasan yang berguna dari data.

Shivangi Agarwal Naredi

5.0

★★★★ ★

United States

“Transforming and Cleaning Data with Python”

In the Python Data Wrangling course, I gained hands-on experience in cleaning and transforming raw data into a structured format, making it ready for analysis. I developed skills in using Python libraries like Pandas and NumPy to handle complex data tasks efficiently.

Muhammad Rehan Ameen

5.0

★★★★ ★

“Python Data Wrangling: A Comprehensive Overview”

Python data wrangling involves cleaning, transforming, and organizing raw data into a usable format for analysis. This process typically includes steps such as handling missing values, converting data types, normalizing data, merging datasets, and reshaping data structures. Commonly used libraries for data wrangling in Python include Pandas for data manipulation, NumPy for numerical operations, and Matplotlib or Seaborn for data visualization. Effective data wrangling ensures that the dataset is accurate, consistent, and ready for analysis, which is crucial for obtaining reliable insights from data.

Sweta Bhatt

5.0

★★★★ ★

Canada

“Python: Techniques & Tools for Cleaning and Preparing Data”

Python supports a wide range of data formats including CSV, Excel, JSON, and SQL databases, making it a versatile tool for data wrangling. It seamlessly integrates with other libraries and tools such as Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning.

What our learners enjoyed the most

Skill & tools

65%

65% of learners found all the desired skills & tools

Our course instructor

Dr. Bradford Tuckfield

Co-Founder & Director, Wilson Consulting

IT & Software Expert

51K+ Learners

6 Courses

Dr. Bradford Tuckfield is a Data Science Consultant at his company, Kmbara, where he provides automated, data-centric solutions in domains like Manufacturing, Pharmaceuticals, Marketing, and Technology. He is also an author, has written books on Data Science, Computer Science, and Algorithms, and works as an instructor at ViaX and Great Learning. Dr. Bradford completed his Doctor of Philosophy (Ph.D.) from the Wharton School in Operations and Information Management. He comes from a background in Mathematics and Economics and has wide expertise in Data Science, including Statistics, Programming, and Machine Learning.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What will I learn in this Python data wrangling course?

You will learn data cleaning, transformation, RegEx, web scraping, time series handling, visualization, and analysis steps used before modeling.

Is this free Python data wrangling course for beginners?

Yes. It is beginner-friendly and useful before learning pandas, NumPy, exploratory data analysis, dashboards, or machine learning workflows.

Does the course explain data cleaning in Python?

Data cleaning is included so learners can understand missing values, duplicates, inconsistent formats, and why clean data improves analysis quality.

Will I learn RegEx and web scraping basics?

The course includes regular expressions and webpage inspection ideas so learners can understand how text patterns and web data can be handled.

Can this course help with data transformation?

Yes. Data transformation is covered to show how raw data can be reshaped, filtered, converted, and prepared for analysis or visualization work.

Does Python data wrangling help before machine learning?

It helps because machine learning models need structured, reliable data before feature work, training, evaluation, or reporting can make sense.

Who should learn data wrangling in Python?

Data science beginners, analysts, Python learners, and reporting teams can use this course to prepare messy data for useful decisions at work.

What should I learn after Python data wrangling?

Next, study pandas, NumPy, EDA, web scraping projects, data visualization, feature engineering, statistics, and machine learning practice next.

Will I get a certificate after completing this Basics of Python Data Wrangling free course?

Yes, you will get a certificate of completion for Basics of Python Data Wrangling after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Basics of Python Data Wrangling course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Basics of Python Data Wrangling can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Basics of Python Data Wrangling course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Basics of Python Data Wrangling course?

Great Learning Academy provides this Basics of Python Data Wrangling course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Basics of Python Data Wrangling course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Basics of Python Data Wrangling course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.

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