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Bewertung und Feedback des Lernenden für Cleaning and Exploring Big Data using PySpark von Coursera Project Network

59 Bewertungen

Über den Kurs

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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von Farzad K

10. Feb. 2021

von Venkat C S G

13. Okt. 2020

von Alexandra A

22. Aug. 2021

von Georgete B d P

9. Feb. 2021

von Aruparna M

31. Jan. 2021

von Pris A

5. Apr. 2021

von Jorge G

25. Feb. 2021

von Saket R

15. Dez. 2020

von nawaz

23. Apr. 2022

von Juan C A

24. März 2022

von shweta s

18. Okt. 2021

von Jeremy S

23. Jan. 2022

von Dharmendra T

6. Okt. 2020

von Zhilin Z

17. Nov. 2022

von Elizabeth M

14. Nov. 2022