The IBM Data Engineering Professional certification is a set of specialized courses that will help you land a new job in data engineering. By completing this course, you will master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark skills and the skills you need for your job.

What you will learn in the IBM Data Engineering Professional Certificate course series:
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, work with various tables, JOIN and transactions.
NoSQL and big data concepts including working with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, Spark Streaming

Content
COURSE 1.
Introduction to Data Engineering
COURSE 2
Python for Data Science, Artificial Intelligence and Development
COURSE 3
Python Data Engineering Project
COURSE 4.
Introduction to relational databases (DBMS)
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.
Practical 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 Warehouse and BI Analytics
COURSE 13
Data Engineering Core Project
IBM Data Engineering Professional Certification Course Prerequisites:
This professional certification is open to anyone in any job and academic background. This requires basic IT literacy and knowledge of the IT infrastructure, as well as knowledge of working with Windows, Linux or MacOS. No prior computer programming experience is required, but is an advantage, as is high school math.

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