Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas
Python 3.8
| Intermediate
- 10 Videos | 1h 22m 35s
- Includes Assessment
- Earns a Badge
You can analyze a myriad of data formats through pandas - all you need to know is how. In this course, you'll bring various data types into pandas and perform several operations on the data. You'll practice using common file types such as CSV, Excel, JSON, and HTML through pandas. You'll not only learn how to open and read files of different types, but you'll also serialize objects and copy them to the in-memory clipboard. You'll move on to perform various fundamental operations on DataFrame objects. Lastly, you'll learn to compute basic statistics, access metadata, and modify and sort data in rows.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courseimport and export data in CSV filesimport and export data using HTML and JSON filesserialize data to Excel and Pickle filesperform basic data manipulation operations on DataFrames
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explore and edit data in DataFramessort records based on column valuescompute basic statistics on data stored in DataFramescompute statistical summaries on data stored in DataFramessummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 15sUP NEXT
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2.Importing and Exporting CSV Files8m 36s
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3.Importing and Exporting Data in HTML and JSON Files12m 46s
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4.Reading and Writing Excel Files Using DataFrames9m 34s
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5.Performing Basic DataFrame Operations12m 29s
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6.Computing Unique Values and Renaming Columns7m 27s
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7.Sorting Data Based on Specific Columns7m 9s
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8.Computing Basic Statistics6m 53s
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9.Computing Univariate and Bivariate Statistics12m 37s
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10.Course Summary2m 49s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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