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Udemy - Pyspark For Data Engineers And Data Analysts In 1H30



Size :718.8 MB
Peers : Seeders : 0      Leechers : 0
Added : 5 months ago » by freecoursewb » in Other
Language : English
Last Updated :5 months ago
Info_Hash :D7A325C34C0C81DD37F7B99243C7188A77319526

Torrent File Contents

Udemy - Pyspark For Data Engineers And Data Analysts In 1H30
  Get Bonus Downloads Here.url
  -  182 Bytes

  ~Get Your Files Here !/1 - Get Started With PySpark for Data Engineers Data Scientists and Data Analysts/1 - Lets Get Started With PySpark.mp4
  -  20.44 MB

  ~Get Your Files Here !/2 - Project Setup/2 - How to Use Google Colab or Kaggle to Make the Project.mp4
  -  51.61 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/10 - Before Continuing the Course.mp4
  -  1.01 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/11 - Filter a PySpark Dataframe with Conditions.mp4
  -  55.57 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/12 - Group Data and Create New Columns Based on Existing Data.mp4
  -  78.34 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/13 - Join PySpark Dataframes.mp4
  -  61.86 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/14 - Perform Operations With Columns and Delete Unnecessary Data.mp4
  -  60.35 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/15 - Create Statistical Columns.mp4
  -  37.13 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/16 - Use Window Functions.mp4
  -  101.42 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/17 - Create The Final Spark Data Table.mp4
  -  19.17 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/18 - End of The PySpark Project.mp4
  -  34.97 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/18 - PySpark-Course-Data-Analysis-Project.ipynb
  -  236.4 KB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/3 - Project Overview.mp4
  -  48.19 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/4 - Data Source.mp4
  -  1.2 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/5 - Install PySpark on Google Colab and Create a Spark Session.mp4
  -  21.73 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/6 - Import Data Into a Spark DataFrame.mp4
  -  35.47 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/7 - Store Data Files on Google Drive.mp4
  -  16.85 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/8 - Rename and Delete Columns in a Data Table.mp4
  -  32.26 MB

  ~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/9 - Create and Add New Columns in a Spark DataFrame.mp4
  -  32.71 MB

  ~Get Your Files Here !/4 - Download The Complete Python Code For The PySpark Project/19 - Download The Code.html
  -  61 Bytes

  ~Get Your Files Here !/4 - Download The Complete Python Code For The PySpark Project/19 - PySpark-Course-Data-Analysis-Project.ipynb
  -  236.4 KB

  ~Get Your Files Here !/5 - End of The PySpark Course/20 - Conclusion and Tips For Your Career.mp4
  -  8.1 MB

  ~Get Your Files Here !/Bonus Resources.txt
  -  386 Bytes



Torrent Description

Pyspark For Data Engineers And Data Analysts In 1H30

https://DevCourseWeb.com

Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 718.86 MB | Duration: 1h 41m

Mastering PySpark with an End-to-End Project for Data Engineers, Data Scientists and Data Analysts in 2024

What you'll learn
Gain solid PySpark skills with no prerequisites
Avoid beginner pitfalls and master best practices
Pass PySpark exams, certifications and technical tests
Receive a training certificate at the end of the course
Have the necessary PySpark skills to compete for job opportunities
Gain a solid understanding of key PySpark concepts
Realize professional projects with PySpark
Work as a freelance with PySpark.
Acquire the skills needed to work with companies that use PySpark
Master the essential concepts in PySpark to become a Data Engineer, Data Scientist or Data Analyst

Requirements
This course covers everything from A to Z. There are no prerequisites.