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Learner Reviews & Feedback for Cleaning and Exploring Big Data using PySpark by Coursera Project Network

4.1
stars
59 ratings

About the Course

By the end of this project, you will learn how to clean, explore and visualize big data using PySpark. You will be using an open source dataset containing information on all the water wells in Tanzania. I will teach you various ways to clean and explore your big data in PySpark such as changing column’s data type, renaming categories with low frequency in character columns and imputing missing values in numerical columns. I will also teach you ways to visualize your data by intelligently converting Spark dataframe to Pandas dataframe. Cleaning and exploring big data in PySpark is quite different from Python due to the distributed nature of Spark dataframes. This guided project will dive deep into various ways to clean and explore your data loaded in PySpark. Data preprocessing in big data analysis is a crucial step and one should learn about it before building any big data machine learning model. Note: You should have a Gmail account which you will use to sign into Google Colab. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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By Farzad K

Feb 10, 2021

By Venkat C S G

Oct 13, 2020

By Alexandra A

Aug 22, 2021

By Georgete B d P

Feb 9, 2021

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Jan 31, 2021

By Pris A

Apr 5, 2021

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Feb 25, 2021

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Dec 15, 2020

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Apr 23, 2022

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Mar 24, 2022

By shweta s

Oct 18, 2021

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Jan 23, 2022

By Dharmendra T

Oct 6, 2020

By Zhilin Z

Nov 17, 2022

By Elizabeth M

Nov 14, 2022