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Python and Pandas for Data Manipulation Online Training
This Python and Pandas for Data Manipulation training teaches how to efficiently manipulate and analyze data from multiple sources. Learn to clean, filter, sort, and combine data to extract insights. Perfect for onboarding data professionals or as a reference for IT teams. Topics include data cleaning, statistics, and visualization for smarter decision-making.
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What you'll learn
- Extracting meaning from numbers
- Managing large data sources and extracting the right data from them
- Importing, cleaning, and calculating statistics
- Visualizing data and making smarter decisions
FAQs
Who should take this Python and Pandas data course?
Is this training in manipulating data with Python and Pandas associated with any certifications?
What certification should you consider after taking this course in using Python and Pandas?
Why should you take this Python data manipulation and business intelligence training?
Who is this for?
This Python and Pandas for Data Manipulation training is considered associate-level open source training, which means it was designed for data analysts. This Python skills course is valuable for new IT professionals with at least a year of experience with data science and experienced data practitioners looking to validate their data skills.



What our learners say
When learning a new technology, people sometimes build a wall that complicates the learning process because of the unknown. I like tearing down that wall — and having people fall in love with that technology.
Practice exams help you have an overview of your readiness. If you have failed a couple questions in one area, you can go back and work on them.
This is the gold standard of video training. You always hear in grade school or college that the best teachers are the ones who are passionate in their field. The CBT Nuggets team are extremely passionate and get you motivated for the material.
Download the free Python and Pandas for Data Manipulation Online Training study plan to complete this course in about 18 hours.
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