Analyzing Data Using Python: Data Analytics Using Pandas
Python 3.8 | Beginner
- 9 videos | 1h 20m 23s
- Includes Assessment
- Earns a Badge
Built on the Python programming language, pandas provides a flexible and open source tool for data manipulation. In this course, you'll develop the skills you need to get started with this library. You'll begin by installing pandas from a Jupyter notebook using pip. Next, you'll instantiate a pandas object, including a Series and DataFrame, and practice several ways of instantiating Dataframes - for instance, from lists, dictionaries of lists, and tuples created from lists using the zip method. You round out this course by performing filter operations on DataFrames using the loc and iloc operations - fundamental techniques used to access specific rows and columns. You'll use loc to identify rows based on labels and iloc to access rows based on the index offset position starting from 0.
WHAT YOU WILL LEARN
discover the key concepts covered in this coursecreate a pandas Series objectperform basic operations on Series objectscast data types within Series objectsfilter data in Series objects using logical operations
create the tabular DataFrame object in pandaslook up data using DataFrame methodscreate DataFrames from dictionaries and tuplessummarize the key concepts covered in this course
IN THIS COURSE
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