PySpark for Data Engineers and Data Analysts in 1h30

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Mikail Altundas

1:40:46

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1 - Get Started With PySpark for Data Engineers Data Scientists and Data Analysts

1 - Lets Get Started With PySpark.mp4

01:41

2 - Project Setup

2 - How to Use Google Colab or Kaggle to Make the Project.mp4

09:28

3 - Complete Big Data Project Using PySpark

3 - Project Overview.mp4

04:23

4 - Data Source.mp4

00:16

5 - Install PySpark on Google Colab and Create a Spark Session.mp4

06:58

6 - Import Data Into a Spark DataFrame.mp4

07:28

7 - Store Data Files on Google Drive.mp4

04:01

8 - Rename and Delete Columns in a Data Table.mp4

07:19

9 - Create and Add New Columns in a Spark DataFrame.mp4

06:24

10 - Before Continuing the Course.mp4

00:12

11 - Filter a PySpark Dataframe with Conditions.mp4

06:11

12 - Group Data and Create New Columns Based on Existing Data.mp4

08:16

13 - Join PySpark Dataframes.mp4

05:27

14 - Perform Operations With Columns and Delete Unnecessary Data.mp4

06:38

15 - Create Statistical Columns.mp4

09:19

16 - Use Window Functions.mp4

09:42

17 - Create The Final Spark Data Table.mp4

03:09

18 - End of The PySpark Project.mp4

02:46

18 - pyspark-course-data-analysis-project.zip

4 - Download The Complete Python Code For The PySpark Project

19 - Download The Code.html

19 - pyspark-course-data-analysis-project.zip

5 - End of The PySpark Course

20 - Conclusion and Tips For Your Career.mp4

01:08

Description

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

Who is this for?

People with little or no programming experience who want to learn PySpark

People who want to develop expertise with PySpark

People who want to apply for jobs or freelance positions that require PySpark skills

What You Need to Know?

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

More details

Description
Mastering PySpark to Become a Data Engineer, Data Scientist, or Data Analyst
This course aims to train you in the PySpark framework on Python, which is widely used by Data Engineers, Data Scientists, and Data Analysts to handle large volumes of data.
Acquire Fundamental Skills in PySpark
No more hunting for information on Google; the essence of your learning is concentrated in this course.
Learn Quickly for Effective Skill Development
This course is designed to familiarize you with PySpark quickly and effectively. In just a few hours and through two projects, you will possess the necessary knowledge to stand out.
Recent Course, Regularly Updated
Updated in 2024, this training is in line with the skills currently sought after in PySpark by companies.
Avoid Beginner's Traps
The course highlights the best practices of an experienced PySpark developer to help you produce professional-quality code.
Succeed in Your Exams, Technical Tests, and PySpark Certifications
The course content is structured to effectively prepare you for your university exams, certifications, and technical tests related to PySpark.
Secure a Position in a Company or Undertake Freelance Assignments
PySpark is among the most coveted frameworks in both corporate and freelance settings. Training in this library opens the door to numerous professional opportunities.
Train for In-Demand Careers
In 2024, the demand for Data Scientists, Data Engineers, Data Analysts, and other Big Data-related professions is on the rise. Now is the perfect time to train for these professions by learning to master PySpark.
Work for Top Companies
Renowned companies such as Uber, Netflix, Airbnb, Amazon, Meta (formerly Facebook), and Microsoft, are currently seeking skilled professionals in PySpark.
Obtain a Completion Certificate
A certificate confirming that you have followed and completed the course will be awarded at the end of the training.
Who this course is for:
People with little or no programming experience who want to learn PySpark
People who want to develop expertise with PySpark
People who want to apply for jobs or freelance positions that require PySpark skills

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[FRENCH] Je suis un formateur avec une expertise en Data Science, Data Engineering, Intelligence Artificielle et Cloud Computing. Quel que soit votre niveau, débutant ou expérimenté, mes cours sont conçus pour être accessibles à tous. Toutes mes formations se basent sur des projets concrets, de type entreprise et de type université, afin que vous puissiez immédiatement appliquer vos nouvelles compétences dans des situations réelles.[ENGLISH] I am a French instructor specialized in Data Science, Data Engineering, Artificial Intelligence, and Cloud Computing. Whether you are a beginner or experienced, my courses are designed to be accessible to everyone. Each of my courses is based on real-world corporate and academic projects, allowing you to immediately apply your new skills in real-life situations.

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