- Course fee
- No-Cost
- Course level
- Intermediate
- Training hours
- 80
- Prerequisites
- Must be a Per Scholas Alumnus
Course Overview
Enroll in Big Data Engineer (UCI-3076) to develop 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. Gain an advanced proficiency in topics such as Apache Hadoop, Ambari, MapReduce, Spark, Mlib ZooKeeper, Big SQL, HDFS, YARN, and HBase.
Additional Info
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
Schedule:
This course requires a minimum of 8 hours per week of independent learning to ensure on-time completion.
| Starts | Apply by | Ends | Weeks |
|---|---|---|---|
| Nov 23, 2026 | Nov 20, 2026 | Feb 5, 2027 | 10 |
| Feb 1, 2027 | Jan 18, 2027 | Mar 19, 2027 | 10 |