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Pyspark For Data Engineers And Data Analysts In 1H30 --> [ DevCourseWeb ]

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English

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718.85 MB

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d7a325c34c0c81dd37f7b99243c7188a77319526

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23-05-2024 19:22

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File	Size
Get Bonus Downloads Here.url	182.00 B
~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	236.40 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	1.20 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	61.00 B
~Get Your Files Here !/4 - Download The Complete Python Code For The PySpark Project/19 - PySpark-Course-Data-Analysis-Project.ipynb	236.40 kB
~Get Your Files Here !/5 - End of The PySpark Course/20 - Conclusion and Tips For Your Career.mp4	8.10 MB
~Get Your Files Here !/Bonus Resources.txt	386.00 B

Description

[ DevCourseWeb.com ] Pyspark For Data Engineers And Data Analysts In 1H30

If You Need More Stuff, kindly Visit and Support Us -->> 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.

If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com

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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...