Data Wrangling with Python // Crash Course

In this course, you will learn how to perform data wrangling techniques. More specifically, you will learn the following: reading datasets, performing data exploration, standardisation, finding and handling syntax errors, irrelevant data, duplicates, missing data, filtering and sorting, performing splitting, merging and concatenation, outliers, and exporting data.

About the Instructor:
My name is Valentine and I am technical curriculum designer based in Nairobi, Kenya. Over the past few years I have worked as data analyst and later as a data scientist consultant creating data science courses for various bootcamps. I seek to help others make sense of knowing how to extract value from data.

Connect with the Instructor:

Join AfterWork Data Science Community on Telegram for Technical Support:

Get One-on-Coaching with the instructor by:
Signing up for the 8 Weeks AfterWork Data Science Fellowship Program (Enrolment Open)

Get Practice Notebook (without practice challenges and solutions):

Get Practice Notebook (with more concepts, practice challenges, solutions and project)
by purchasing the full course on teachable:

Next Course:
Data Cleaning with Python Crash Course

About the AfterWork Channel:
AfterWork serves to equip emerging data professionals with data skills through informative and educational videos.

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[VictorOmondi]

No matter how expert I am, there's always an added value from After Work Videos or events.

Continue impacting us.👍🏿

[enomheriey]

Thank you for this concise presentation.

[KeyserTheRedBeard]

sweet upload AfterWork. I crushed the thumbs up on your video. Keep up the superior work.

[mcmuffinburger]

Thank you just what I was looking for simple and to the point easy to understand

[arthurmcnallyzhou]

thanks my african brother enjoying your content from japan

[MuhammadulloAlijonov]

Hi Valentine, I can't access to your notebook .
can you share the link that works?

[enocharthur]

Thanks but honestly it was a bit boring to listen