Published 5/2024
MP4 | Video: h264, 1920×1080 | 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
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