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, layouts, 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
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
Level of education: Advanced
Number of courses: 13
Duration: Assuming 3 hours of work per week, 15 months
Courses in the IBM Data Engineering Professional Certificate Collection:
COURSE 1
Introduction to Data Engineering
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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
Introduction to NoSQL Databases
COURSE 7
Introduction to Big Data with Spark and Hadoop
COURSE 8
Data Engineering and Machine Learning using Spark
COURSE 9
Hands-on Introduction to Linux Commands and Shell Scripting
COURSE 10
Relational Database Administration (DBA)
COURSE 11
ETL and Data Pipelines with Shell, Airflow, and Kafka
COURSE 12
Getting Started with Data Warehousing and BI Analytics
COURSE 13
Data Engineering Capstone Project
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.
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This collection includes 13 different courses.
IBM Data Engineering download link
Introduction to Data Engineering
Python for Data Science, AI & Development
Python Project for Data Engineering
Introduction to Relational Databases (RDBMS)
Databases and SQL for Data Science with Python
Hands-on Introduction to Linux Commands and Shell Scripting
Relational Database Administration (DBA)
ETL and Data Pipelines with Shell, Airflow, and Kafka
Getting Started with Data Warehousing and BI Analytics
Introduction to NoSQL Databases
Introduction to Big Data with Spark and Hadoop
Data Engineering and Machine Learning using Spark
Data Engineering Capstone Project
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