Data Engineering
Big Data Engineer
Use Big Data methodologies to collect and analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. The badge earner has demonstrated advanced proficiency on topics such as Apache Hadoop, Ambari, MapReduce, Spark, Mlib ZooKeeper, Big SQL, HDFS, YARN, and HBase.
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This badge earner has a proven expertise to use Big Data methodologies to collect and analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. The badge earner has demonstrated advanced proficiency on topics such as Apache Hadoop, Ambari, MapReduce, Spark, Mlib ZooKeeper, Big SQL, HDFS, YARN, and HBase.
What you’ll learn:
- Describe fundamental data concepts including types of data, big data, analytics techniques, typical steps in the data analytics process, and data visualization
- Identify widely adopted data science methodologies and explain the activities in a typical data science project
- Identify applications of data science across industries in the world
- Describe the role of a data analyst, data scientist, and data engineer
- Identify the purpose and use of some common data analysis and visualization tools
- Clean, refine, and visualize data using IBM Watson Studio with the data refinery tool
- Recognize the job market, responsibilities and skill sets of a data analyst and data scientist, and resources and learning opportunities to explore
Upcoming Course Dates
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March 2nd 2026
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March 30th 2026
Get certified in
- Big Data Engineer Certificate
Course Level
- Advanced
Venues
- Remote
Prerequisites
- None Required
Schedule
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Remote
- This course requires a minimum of 8 hours per week of independent learning to ensure an on tome completion.
Have questions?
We can help with course selection, and answer questions about eligibility requirements and special circumstances. Contact an Alumni Admissions team member