IBM Data Engineering Professional Certificate
Course Features
Duration
15 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Effort
3 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
Virtual Labs
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
Your new career in Data Engineering is now possible. Master SQL, RDBMS and ETL with job-ready skills.
Comfort working in either Linux, Windows, or MacOS
No prior programming or data skills needed
What You Will Learn
RDBMS fundamentals including Design & Creation of Databases, Schemas, Tables; DB Administration, Security & working with MySQL, PostgreSQL & IBM Db2
SQL query language, SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procs, working with multiple tables, JOINs, & transactions
NoSQL & Big Data concepts including practice with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, Spark Streaming
ETL, Data Pipelines using Python, Shell Scripts, Apache Airflow and Apache Kafka; Building & Populating Data Warehouses, and Querying with BI tools
Course Content
Module 1: Introduction to Data Engineering
1. This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem.
Course Instructors
Rav Ahuja
Global Program Director
Priya Kapoor
Senior Instructional Designer & Content Developer
Joseph Santarcangelo
Ph.D., Data Scientist at IBM