Description
IBM Data Engineering Professional Certificate is a set of specialization courses that will help you get a new job in the field of data engineering. By taking 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 set:
- RDBMS basics include database design and layout, plans and tables, database management, security and working with MySQL, PostgreSQL and IBM Db2
- SQL query language (SELECT, INSERT, UPDATE, DELETE), database functions, working with different tables, JOINs and transactions
- NoSQL and Big Data concepts include working with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, Spark Streaming
Course details:
- Publisher : Coursera
- Teacher : IBM Skills Network Team
- Language: English
- Level : All Levels
- Lectures : 16
- Duration : 6 months at 10 hours a week
Courses in the IBM Data Engineering Professional Certificate set:
Prerequisites for IBM Data Engineering Professional Certificate:
This Professional Certificate is open to anyone with any job and academic background. It pre-reqs basic IT literacy and knowledge of IT infrastructure and familiarity working with Windows, Linux or MacOS. No prior computer programming experience is necessary, but is an asset, as is high school math.
Pictures
Sample Video IBM Data Engineering Professional Certificate:
Installation guide
After Extract, watch with your favorite Player.
Subtitle: English, Persian (incomplete)
Quality: 720p
This collection includes 13 different courses.
Version 2025/3 has decreased by 50 documents compared to 2024/8.
Version 2025/9 has increased the duration by 2 hours and 1 minute compared to .
Download Links
Downloadly
Course 1 – Introduction to Data Engineering
Course 2 – Python for Data Science, AI & Development
Course 3 – Python Project for Data Engineering
Course 4 – Introduction to Relational Databases (RDBMS)
Course 5 – Databases and SQL for Data Science with Python
Course 6 – Hands-on Introduction to Linux Commands and Shell Scripting
Course 7 – Relational Database Administration (DBA)
Course 8 – ETL and Data Pipelines with Shell, Airflow and Kafka
Course 9 – Data Warehouse Fundamentals
Course 10 – BI Dashboards with IBM Cognos Analytics and Google Looker
Course 11 – Introduction to NoSQL Databases
Course 12 – Introduction to Big Data with Spark and Hadoop
Course 13 – Machine Learning with Apache Spark
Course 14 – Data Engineering Capstone Project
Course 15 – Generative AI: Elevate your Data Engineering Career
Course 16 – Data Engineering Career Guide and Interview Preparation
Rapidgator
Course 1 – Introduction to Data Engineering
Course 2 – Python for Data Science, AI & Development
Course 3 – Python Project for Data Engineering
Course 4 – Introduction to Relational Databases (RDBMS)
Course 5 – Databases and SQL for Data Science with Python
Course 6 – Hands-on Introduction to Linux Commands and Shell Scripting
Course 7 – Relational Database Administration (DBA)
Course 8 – ETL and Data Pipelines with Shell, Airflow and Kafka
Course 9 – Data Warehouse Fundamentals
Course 10 – BI Dashboards with IBM Cognos Analytics and Google Looker
Course 11 – Introduction to NoSQL Databases
Course 12 – Introduction to Big Data with Spark and Hadoop
Course 13 – Machine Learning with Apache Spark
Course 14 – Data Engineering Capstone Project
Course 15 – Generative AI: Elevate your Data Engineering Career
Course 16 – Data Engineering Career Guide and Interview Preparation
File password (s): www.downloadly.ir
Size
4.27 GB
4 Comments. Leave new
Rapidagtor please
Hi
Added
Where is the reading material provided by the course
Hi
Everything is included in each course package.