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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2m 15s
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8m 36sIn this video, you'll learn how to import and export data in CSV files. You'll discover that DataFrames and Pandas organize data into rows and columns. Every row can be identified using a unique value of the index. The… FREE ACCESS
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12m 46sIn this session, we will be working with the HTML and JSON file formats. HTML files are used to store data in a human-readable format, while JSON files are used to store data in a machine-readable format. We will first… FREE ACCESS
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9m 34sIn this video, you'll learn how to serialize data to Excel and Pickle files. You'll follow along with a demo in which you'll turn your attention to the common file format, the Excel file format. Along the way, you'll also… FREE ACCESS
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12m 29sIn this video, you will learn that there are many common operations on pandas DataFrames. You will learn how to perform basic data manipulation operations on DataFrames, including sorting and filtering. FREE ACCESS
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7m 27sIn this video, you will learn how to discover and edit data in DataFrames. You will follow along onscreen as you learn about exploratory data analysis operations using Python DataFrames. You will also encounter a common… FREE ACCESS
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7m 9sIn this video, you'll learn how to sort records based on column values. You'll discover that there's nothing wrong with sorting the values in a DataFrame. Instead, you'll learn to understand it carefully because the first… FREE ACCESS
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6m 53sThis session is about computing basic statistics on data stored in a pandas DataFrame. The presenter will discuss how to use the describe function, drop method, head method, and idxmax function. FREE ACCESS
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12m 37sIn this video, you'll learn how to compute statistical summaries on data stored in DataFrames. You'll start by exploring the mean. Next, you'll calculate the median, which is also called the 50th percentile. Then, you'll… FREE ACCESS
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2m 49s
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