Basics of Python Data Wrangling

4.26
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551 Learners
intermediate
Intermediate

What you learn in Basics of Python Data Wrangling ?

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Basics of Data Wrangling
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Regex
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Web Scraping
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Reading Scraping and Saving the data

About this Free Certificate Course

Data wrangling is the process of transforming data into the required format, by performing operations such as merging, grouping, concatenating, etc. Python provides tools that can be used to apply similar wrangling techniques to different data sets in order to accomplish the analytical aim. From this course, learners will get to understand the basics of Regex, Data Wrangling Webpage, Reading, scraping and saving the data with hands-on demonstration.

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

Our course instructor

Dr. Bradford Tuckfield

Data Science Expert

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1.8K+ Learners
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3 Courses
Dr. Bradford is a professional expert in the field of Data Science and Machine Learning at Great Learning. With a strong background in Statistics, Math, and Economics, he has designed and created several courses for aspiring Data Science students worldwide. He also is an author of technical books about Algorithms and Data Science.

What our learners say about the course

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4.26
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Basics of Python Data Wrangling

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Completion Certificate

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2.0 Hours

of self-paced video lectures

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Frequently Asked Questions

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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