Pyspark For Data Engineers And Data Analysts In 1H30
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.

Description

Mastering PySpark to Become a Data Engineer, Data Scientist, or Data AnalystThis 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 PySparkNo more hunting for information on Google; the essence of your learning is concentrated in this course.Learn Quickly for Effective Skill DevelopmentThis 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 UpdatedUpdated in 2024, this training is in line with the skills currently sought after in PySpark by companies.Avoid Beginner's TrapsThe 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 CertificationsThe 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 AssignmentsPySpark 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 CareersIn 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 CompaniesRenowned companies such as Uber, Netflix, Airbnb, Amazon, Meta (formerly Facebook), and Microsoft, are currently seeking skilled professionals in PySpark.Obtain a Completion CertificateA certificate confirming that you have followed and completed the course will be awarded at the end of the training.

Overview

Section 1: Get Started With PySpark for Data Engineers, Data Scientists, and Data Analysts

Lecture 1 Let's Get Started With PySpark!

Section 2: Project Setup

Lecture 2 How to Use Google Colab or Kaggle to Make the Project

Section 3: Complete Big Data Project Using PySpark

Lecture 3 Project Overview

Lecture 4 Data Source

Lecture 5 Install PySpark on Google Colab and Create a Spark Session

Lecture 6 Import Data Into a Spark DataFrame

Lecture 7 Store Data Files on Google Drive

Lecture 8 Rename and Delete Columns in a Data Table

Lecture 9 Create and Add New Columns in a Spark DataFrame

Lecture 10 Before Continuing the Course.

Lecture 11 Filter a PySpark Dataframe with Conditions

Lecture 12 Group Data and Create New Columns Based on Existing Data

Lecture 13 Join PySpark Dataframes

Lecture 14 Perform Operations With Columns and Delete Unnecessary Data

Lecture 15 Create Statistical Columns

Lecture 16 Use Window Functions

Lecture 17 Create The Final Spark Data Table

Lecture 18 End of The PySpark Project

Section 4: Download The Complete Python Code For The PySpark Project

Lecture 19 Download The Code

Section 5: End of The PySpark Course

Lecture 20 Conclusion and Tips For Your Career

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