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

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Udemy - Pyspark For Data Engineers And Data Analysts In 1H30 (Size: 718.8 MB)
  1 - Lets Get Started With PySpark.mp4 20.4 MB
  10 - Before Continuing the Course.mp4 1 MB
  11 - Filter a PySpark Dataframe with Conditions.mp4 55.6 MB
  12 - Group Data and Create New Columns Based on Existing Data.mp4 78.3 MB
  13 - Join PySpark Dataframes.mp4 61.9 MB
  14 - Perform Operations With Columns and Delete Unnecessary Data.mp4 60.4 MB
  15 - Create Statistical Columns.mp4 37.1 MB
  16 - Use Window Functions.mp4 101.4 MB
  17 - Create The Final Spark Data Table.mp4 19.2 MB
  18 - End of The PySpark Project.mp4 35 MB
  18 - PySpark-Course-Data-Analysis-Project.ipynb 236.4 KB
  19 - Download The Code.html 102.4 B
  19 - PySpark-Course-Data-Analysis-Project.ipynb 236.4 KB
  2 - How to Use Google Colab or Kaggle to Make the Project.mp4 51.6 MB
  20 - Conclusion and Tips For Your Career.mp4 8.1 MB
  3 - Project Overview.mp4 48.2 MB
  4 - Data Source.mp4 1.2 MB
  5 - Install PySpark on Google Colab and Create a Spark Session.mp4 21.7 MB
  6 - Import Data Into a Spark DataFrame.mp4 35.5 MB
  7 - Store Data Files on Google Drive.mp4 16.8 MB
  8 - Rename and Delete Columns in a Data Table.mp4 32.3 MB
  9 - Create and Add New Columns in a Spark DataFrame.mp4 32.7 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 24 total files

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.

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