IBM Data Engineering

Overview

Launch your career in the thriving field of data engineering with IBM's comprehensive program offered through Coursera. This professional certificate program equips you with essential skills, including Python, SQL, databases, and more, to ensure you're job-ready in under five months.

Data engineering involves creating systems for collecting, processing, and organizing raw data into actionable insights. This program lays the foundation for careers in data science and business intelligence by teaching critical data engineering techniques sought after by employers.

Gain proficiency in the most in-demand tools and technologies such as Python, one of the top programming languages, alongside SQL, RDBMS, ETL processes, Data Warehousing, NoSQL, Big Data, and Spark.

Through interactive labs and projects, you'll learn to use Python and Linux/UNIX shell scripts for ETL tasks, manage relational databases (RDBMS), execute SQL queries, and work with NoSQL databases and unstructured data.

Upon completion, you'll not only have a rich portfolio of projects but also an IBM Professional Certificate to highlight your qualifications. Plus, you'll receive an IBM Digital Badge and access to ample career resources, including mock interviews and resume support, to aid your job search.

This program is ACE® recommended, allowing you to earn up to 12 college credits. This course falls under multiple categories including Python, Machine Learning, Big Data, Business Intelligence, Data Science, Data Warehousing, Hadoop, and Apache Spark courses, making it a comprehensive choice for aspiring data engineers.

Taught by

Aije Egwaikhide, Hima Vasudevan, Joseph Santarcangelo, Karthik Muthuraman, Lin Joyner, Priya Kapoor, Ramesh Sannareddy, Rav Ahuja, Romeo Kienzler, Rose Malcolm, Sandip Saha Joy and Steve Ryan

Subjects