Description
The IBM Data Engineering Professional Certificate is a set of specialized courses that will help you get a new job in the field of data engineering. By completing this course, you will master the skills of working with SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data and Spark, along with the skills needed for your job.
What you will learn in the IBM Data Engineering Professional Certificate course package:
- RDBMS fundamentals including database design and construction, schemas and tables, database management, security, and working with MySQL, PostgreSQL, and IBM Db2
- SQL query language (SELECT, INSERT, UPDATE, DELETE statements), database functions, working with different tables, JOINs and transactions
- NoSQL and Big Data concepts including working with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, Spark Streaming
Course details:
Publisher: Coursera
Instructors: Rav Ahuja , Priya Kapoor , Joseph Santarcangelo , Ramesh Sannareddy , Sandip Saha Joy , Lin Joyner , Rose Malcolm , Hima Vasudevan , Steve Ryan , Karthik Muthuraman , Aije Egwaikhide , Romeo Kienzler , Yan Luo , Jeff Grossman , and Sabrina Spillner
Language: English
Level of Instruction: Advanced
Number of Courses: 16
Duration: Assuming 10 hours of work per week, 6 months
Courses available in the IBM Data Engineering Professional Certificate suite:

IBM Data Engineering Professional Certificate Course Prerequisites:
This Professional Certificate is open for anyone with any job and academic background. It pre-reqs basic IT literacy and knowledge of IT infrastructure and working familiarity with Windows, Linux or MacOS. No prior computer programming experience is necessary, but is an asset, as is high school math.
Pictures

Sample video of IBM Data Engineering Professional Certificate:
Installation Guide
After Extract, view with your favorite player.
Subtitles: English, Persian
Note: Persian subtitles are not provided for all lessons and courses, and each one that is available has been included.
Quality: 720p
This collection includes 13 different courses.
Introduction to Data Engineering course: The 2023/8 version has increased by a total of 24 documents (quizzes, projects, highlights, etc.) and 1 video with a duration of 1 minute compared to 2022/3.
Python for Data Science, AI & Development Course: Version 2023/8 has reduced the total of 3 documents (quizzes, projects, highlights, etc.) and 6 videos to 26 minutes in length compared to 2022/3.
Python Project for Data Engineering Course: Version 2023/8 Compared to 2022/3, a total of 4 documents (quizzes, projects, highlights, etc.) have been added, and the videos have not changed.
Introduction to Relational Databases (RDBMS) course: Version 2023/8 Compared to 2022/3, a total of 17 documents (quizzes, projects, highlights, etc.) have been added, and the videos have not changed.
The Databases and SQL for Data Science with Python course: 2023/8 version has reduced the total number of documents (quizzes, projects, highlights, etc.) and 3 videos to 9 hours compared to 2022/3, and has also changed from 6 chapters to 4 chapters.
Hands-on Introduction to Linux Commands and Shell Scripting course: The 2023/8 version has increased from 2022/3 to a total of 12 documents (quizzes, projects, highlights, etc.) and 6 videos for a duration of 40 minutes, and has also changed from 3 chapters to 4 chapters.
Relational Database Administration (DBA) course: Version 2023/8 Compared to 2022/3, a total of 14 documents (quizzes, projects, highlights, etc.) have been added, and the videos have not changed.
ETL and Data Pipelines with Shell, Airflow and Kafka course: Version 2023/8 Compared to 2022/3, a total of 7 documents (quizzes, projects, highlights, etc.) have been added, and the videos have not changed.
Getting Started with Data Warehousing and BI Analytics course: The 2023/8 version has increased by a total of 8 documents (quizzes, projects, highlights, etc.) and 1 video with a duration of 9 minutes compared to 2022/3.
Introduction to NoSQL Databases course: Version 2023/8 Compared to 2022/3, a total of 18 documents (quizzes, projects, highlights, etc.) have been added, and the videos have not changed.
Introduction to Big Data with Spark and Hadoop course: The 2023/8 version has increased by a total of 50 documents (quizzes, projects, highlights, etc.) compared to 2022/3, and the videos have not changed.
Data Engineering and Machine Learning using Spark course: Version 2023/8 Compared to 2022/3, a total of 5 documents (quizzes, projects, highlights, etc.) have been added, and the videos have not changed.
Data Engineering Capstone Project Course: Compared to the 2022/3 version, a total of 23 documents (quizzes, projects, highlights, etc.) and 8 videos with a duration of 13 minutes have been added, and it has also changed from 2 chapters to 7 chapters.
The 2024/5 version has increased by 15 lessons and a duration of 1 hour and 40 minutes compared to the 2023/8 version.
Version 2024/8 compared to 2024/5: Periods 10, 15, 16 have been added and period 9 has been changed.
Version 2025/3 has decreased by 50 documents compared to 2024/8.
File size
3.6 GB
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