Data Manipulation in Python: A Pandas Crash Course
Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.
What you’ll learn
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Visualise data using methods from histograms to dimensionality reduction.
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Create, save and serialise data frames in and out of multiple formats.
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Clean and format data easily.
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Detect and intelligently fill missing values.
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Group, aggregate and summarise your data.
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Merge data sources into a beautiful whole.
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Pivot and cross-tabulate data like a pro.
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Intersplice, summarise and investigate time series data.
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Seamlessly work with data from different time zones.
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Learn the common pitfalls and traps that ensnare beginners and how to avoid them.
Requirements
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Basic knowledge of Python
Who this course is for:
- Python students that want to learn how to manipulate data professionally.
- Aspiring data analysts and scientists looking to upgrade their skillset.
- People who would prefer to spend more time solving interesting problems than formatting data.
- Old hands at programming that want to see what new methods and industry-leading tools are at their fingertips in the new decade.
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