IBM Data Engineering Professional Certificate

Prepare for a career as a Data Engineer. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.

Instructors: IBM Skills Network Team +17 more

What you'll learn

  •   Master the most up-to-date practical skills and knowledge data engineers use in their daily roles
  •   Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2 
  •   Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 
  •   Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards
  • Skills you'll gain

  •   Web Scraping
  •   IBM Cognos Analytics
  •   NoSQL
  •   Professional Networking
  •   Data Warehousing
  •   Database Design
  •   Extract, Transform, Load
  •   Database Management
  •   Apache Kafka
  •   Jupyter
  •   Apache Airflow
  •   Data Store
  • Professional Certificate - 16 course series

    Design, deploy, and manage an end-to-end data engineering platform.

    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

    Data Warehouse Fundamentals

    BI Dashboards with IBM Cognos Analytics and Google Looker

    Introduction to NoSQL Databases

    Introduction to Big Data with Spark and Hadoop

    Machine Learning with Apache Spark

    Data Engineering Capstone Project

    Generative AI: Elevate your Data Engineering Career

    Data Engineering Career Guide and Interview Preparation

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