Python - Introduction to Pandas and DataFrames
Python 3
| Intermediate
- 14 Videos | 1h 4m 54s
- Includes Assessment
- Earns a Badge
Simplify data analysis with Pandas DataFrames. Pandas is a Python library that enables you to work with series and tabular data, including initialization, and population. For this course, learners do not need prior experience working with Pandas, but should be familiar with Python3, and Jupyter Notebooks. Topics include the following: Define your own index for a Pandas series object; load data from a CSV (comma separated values) file, to create a Pandas DataFrame; Add and remove data from your Pandas DataFrame; Analyze a portion of your DataFrame; Examine how to reshape or reorient data, and to create a pivot table. Finally, represent multidimensional data in two-dimensional DataFrames, with multi or hierarchical indexes.
WHAT YOU WILL LEARN
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understand the various applications of Pandas and why it is a building block in the field of data scienceinstall Pandas and create a Pandas Serieswork with Pandas Series by accessing elements using the default and a custom indexdefine a Pandas DataFrame and describe how data can be stored and accessed in these data structuresinitialize and populate a simple Pandas DataFrameload data into a DataFrame from a CSV fileedit individual cells and entire rows and columns in a Pandas DataFrame
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access specific rows and columns of a Pandas DataFrame using the index and labelsaccess parts of a Pandas DataFrame based on specific conditionsdescribe the concept of hierarchical index or multi-index and why can be usefulre-orient a DataFrame as a pivot table to better visualize dataapply a multi-index to a DataFrame and reshape it using the stack and melt operationswork with Pandas for basic tabular data manipulation
IN THIS COURSE
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1.Course Overview2m 16sUP NEXT
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2.Features of Pandas and the Pandas Ecosystem3m 2s
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3.Introduction to Pandas5m 39s
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4.Work with Pandas6m 11s
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5.Introduction to DataFrames2m 24s
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6.Work with DataFrames5m 56s
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7.Load Data into a DataFrame2m 51s
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8.Add and Delete DataFrame Contents7m 58s
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9.Select Parts of a DataFrame5m 19s
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10.Access Pandas DataFrames5m 20s
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11.Introduction to Multi-Indexing in a Dataframe2m 58s
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12.Reshape DataFrames4m 19s
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13.Reshape Dataframes Using Stack and Melt Operations6m 28s
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14.Exercise: Pandas for Basic Tabular Data Manipulation4m 12s
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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