explanation
The IBM Data Engineering Professional Certificate is a set of specialized courses that can help you land a new career in the data engineering field. By taking this course, you will gain the skills you need for your job, as well as skills in SQL, RDBMS, ETL, data warehousing, NoSQL, big data, and Spark operations.
Here’s what you’ll learn in the IBM Data Engineering Professional Certificate course set:
- RDBMS fundamentals include database design and layout, planning and tables, database administration, security, and working with MySQL, PostgreSQL, and IBM Db2.
- SQL query language (SELECT, INSERT, UPDATE, DELETE), database functions, various table operations, JOINs and transactions.
- NoSQL and big data concepts include MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, and Spark Streaming workloads.
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 Sabr
Language:English
Education level: advanced
Number of courses: 13
Period: 5 months, 10 hours a week
Courses in the IBM Data Engineering Professional Certificate Set:
Prerequisites for the IBM Data Engineering Professional Certificate:
This professional qualification is open to anyone, regardless of professional and academic background. Basic IT literacy and knowledge of IT infrastructure and knowledge of working with Windows, Linux or MacOS are required beforehand. Prior computer programming experience is not required, but is an asset, as is high school math.
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Sample video IBM Data Engineering Professional Certificate:
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Subtitles: English, Persian (incomplete)
Quality: 720p
This collection includes 13 different courses.
Introduction to Data Engineering Course: The 2023/8 version compared to 2022/3 consists of a total of 24 documents (quizzes, projects, highlights, etc.) and 1 video, with a total length of 1 minute.
Python Course for Data Science, AI, and Development: The 2023/8 version compared to 2022/3 has a total of 3 articles (quizzes, projects, highlights, etc.) and 6 videos, with a total running time of 26 minutes.
Python Project Course for Data Engineering: The August 2023 version has added a total of 4 documents (quiz, project, highlights, etc.) compared to 2022/3, and the video has not changed.
Introduction to Relational Databases (RDBMS) Course: A total of 17 documents (quizzes, projects, highlights, etc.) have been added to the 2023/8 version compared to 2022/3, and the video has not changed.
The course Databases and SQL for Data Science with Python: 2023/8 Version vs. 2022/3 has a total of 4 articles (quizzes, projects, highlights, etc.), 3 videos totaling 9 minutes in length, and 6 chapters. Changed to Chapter 4.
Hands-on Introduction to Linux Commands and Shell Scripting Course: 2022/3 vs. 2023/8 The 2023/8 version has a total of 12 articles (quizzes, projects, highlights, etc.) and 6 videos, with a total length of 40 minutes. Chapter 3 has been changed to Chapter 4.
Relational Database Management (DBA) Course: A total of 14 documents (quizzes, projects, highlights, etc.) have been added to the 2023/8 version compared to 2022/3, and the video has not changed.
ETL and Data Pipelines with Shell, Airflow, and Kafka Course: The 2023/8 version adds a total of 7 documents (quizzes, projects, highlights, etc.) compared to the 2022/3 version, and the videos remain unchanged.
Getting Started with Data Warehousing and BI Analytics Course: Compared to the 2022/3 version, a total of 8 documents (quizzes, projects, highlights, etc.) and 1 video totaling 9 minutes in length have been added.
NoSQL database introduction course: Compared to the 2022/3 version, a total of 18 documents (quizzes, projects, highlights, etc.) have been added to the 2023/8 version, and the video has not changed.
Introduction to Big Data through Spark and Hadoop Course: The 2023/8 version has a total of 50 more documents (quizzes, projects, highlights, etc.) compared to 2022/3, and the videos have not changed.
Data engineering and machine learning course using Spark: A total of 5 documents (quiz, project, highlight, etc.) have been added to the 2023/8 version compared to 2022/3, and the video has not changed.
Data Engineering Capstone Project Course: Compared to 2022/3, the 2023/8 version has added a total of 23 documents (quizzes, projects, highlights, etc.) and 8 videos of a total of 13 minutes in length, and has also changed from 2 chapters to 7 chapters. .
Compared to the 2024/5 version, the 2023/8 version has increased class times to 15 lessons and 1 hour and 40 minutes.
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Introduction to Data Engineering
Python for data science, AI, and development
Python projects for data engineering
Introduction to relational databases (RDBMS)
Databases and SQL for Data Science with Python
Introduction to Linux command and shell scripting labs
Relational database administration (DBA)
ETL and data pipelines using Shell, Airflow, and Kafka
Get started with data warehousing and BI analytics
Introduction to NoSQL databases
Introduction to Big Data with Spark and Hadoop
Machine Learning with Apache Spark
Data Engineering Capstone Project
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