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[ FreeCourseWeb.com ] Python : Data Analysis with Pandas Library
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 9 lectures (4h 5m) | Size: 1.28 GB
The Ultimate Pandas Tutorial for Data Science Beginners
What you'll learn:
You will learn the basics of Pandas Library
You will have clarity on Pandas Data structures - Series & Dataframes
You will Play with Dataframes, Selecting columns & rows from a dataframe
You will understand Subsetting of dataframes - df[start_index:end_index]
You will get insights on Indexing
You will get clarity on Dataframes merging and concatenating
Requirements
Basic experience with the Python programming language
Strong knowledge of data types (strings, integers, floating points, booleans) etc
Description
Pandas Background:
When working with tabular data, such as data stored in spreadsheets or databases, pandas is the right tool for you. pandas will help you to explore, clean and process your data. In pandas, a data table is called a DataFrame. Pandas supports the integration with many file formats or data sources out of the box (csv, excel, sql, json, parquet,. . . ). Importing data from each of these data sources is provided by function with the prefix read_*. Similarly, the to_* methods are used to store data.
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