Python - Using Pandas to Work with Series & DataFrames
Python 3
| Beginner
- 11 Videos | 1h 10m 56s
- Includes Assessment
- Earns a Badge
Pandas, a popular Python library, is part of the open-source PyData stack. In this 10-video Skillsoft Aspire course, you will learn that Pandas represents data in a tabular format which makes it easy and intuitive to perform data manipulation, cleaning, and exploration. You will use Python's DataFrame a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). To take this course, you should already be familiar with Python programming language; all code writing is in Jupyter notebooks. You will work with basic Pandas data structures, Pandas Series objects representing a single column of data which can store numerical values, strings, Booleans, and more complex data types. Learn how to use Pandas DataFrame, which represents data in table form. Finally, learn to append and sort series values, add missing data, add columns, and aggregate data in a DataFrame. The closing exercise involves instantiating a Pandas Series object by using both a list and a dictionary; changing the Series index to something other than default value; and practicing sorting Series values in place.
WHAT YOU WILL LEARN
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install and work with Pandascreate and configure Pandas Series objectsperform data wrangling operations on Series objectsuse appending and sorting operations on Series objectscreate and configure Pandas DataFrame objects
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perform indexing operations on DataFramesidentify and troubleshoot missing datawork with aggregations on columnsperform statistical operations on DataFramesrecall basic concepts and instantiate Series and DataFrame objects
IN THIS COURSE
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1.Course Overview1m 29sUP NEXT
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2.Installing Pandas4m 49s
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3.Pandas Series Objects8m 17s
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4.Operations on Series6m 34s
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5.Appending and Sorting Series Values8m 50s
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6.Pandas DataFrames8m 36s
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7.Indexing Operations with DataFrames6m 10s
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8.Missing Data5m 51s
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9.Column Aggregations7m 42s
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10.Statistical Operations6m 51s
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11.Exercise: Operations on Series and DataFrames5m 49s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
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