Python - Pandas Advanced Features
Python 3
| Intermediate
- 12 Videos | 1h 11m 18s
- Includes Assessment
- Earns a Badge
This course uses Python, the preferred programming language for data science, to explore Pandas, a popular Python library, and is a part of the open-source PyData stack. In this 11-video Skillsoft Aspire course, learners will use Pandas DataFrame to perform advanced category grouping, aggregations, and filtering operations. You will see how to use Pandas to retrieve a subset of your data by performing filtering operations both on rows, as well as columns. You will perform analysis on multilevel data by using the GROUPBY operation on Dataframe. You will then learn to use data masking or data obfuscation to protect classified or commercially sensitive data. Learners will work with duplicate data, an important part of data cleaning. You will examine the two broad categories of data continuous data which comprise of a continuous range of value, and categorical data has discrete, finite values. Pandas automatically generates indexes for each of our DataFrame rows, and here you will learn to different types of reindexing operations on Dataframe.
WHAT YOU WILL LEARN
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perform grouping and aggregations on datawork with multiple, hierarchical indexesspecify grouping and aggregations with multiple indexesperform general user-defined aggregationsextract subsets of data using filteringidentify kinds of masking operations
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troubleshoot data with duplicatesidentify how categorical data differs from continuousperform filtering operations on categorical datarecognize default and custom indexes and reindex DataFramesperform filtering operations, drop duplicate data, and work with categories
IN THIS COURSE
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1.Course Overview1m 37sUP NEXT
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2.Grouping and Aggregations5m 17s
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3.MultiIndex DataFrames4m 53s
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4.Grouping and Aggregations with MultiIndex DataFrames6m 50s
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5.General Aggregation Functions4m 47s
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6.Filtering9m 31s
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7.Masking Column Values5m 10s
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8.Working with Duplicates6m 37s
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9.Working with Categorical Data7m 49s
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10.Filtering, Adding, and Removing Categories7m 21s
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11.Reindexing6m 35s
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12.Exercise: Filtering, Duplicates and Categorical Data4m 53s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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