Data Engineering

Overview

Organizations today are flooded with data, and the pressing need to transform vast amounts of information into actionable insights has escalated the demand for skilled Data Engineers. Data Engineers are crucial in building and optimizing systems to collect, store, and analyze data, enabling businesses to make strategic decisions based on substantial intelligence.

This Professional Certificate course, available on edX, arms you with the essential skills required to start a career as an entry-level Data Engineer.

You’ll acquire a robust understanding and hands-on experience in managing both cloud-based relational databases (RDBMS) and NoSQL data repositories. The program includes practical training in programming languages such as Python, Bash, and SQL, and tools like Apache Hadoop and Apache Spark for big data processing.

You'll also learn to employ ETL (extract, transform, load) tools, develop data pipelines, and use technologies such as Apache Kafka and Airflow.

The curriculum is designed to make you proficient in designing, populating, and querying data warehouses, as well as utilizing advanced business intelligence tools. Each segment of the course offers hands-on labs and projects that contribute to building a comprehensive portfolio.

The culminating Capstone project will showcase your ability to apply the competencies gained throughout the course and prove your merit as a Data Engineer.

This educational journey requires no prior data engineering or programming skills, making it accessible to anyone keen on entering this vital field.

The program is categorized under Python Courses, Big Data Courses, Data Analysis Courses, Data Warehousing Courses, SQL Courses, Hadoop Courses, Apache Spark Courses, and Apache Kafka Courses, providing a broad array of knowledge essential for up-and-coming data professionals.

Taught by

Aije Egwaikhide, Karthik Muthuraman, Romeo Kienzler, Rav Ahuja, Jeff Grossman, Steve Ryan, Ramesh Sannareddy, Joseph Santarcangelo, Lin Joyner, Rose Malcolm and Yan Luo

Subjects