Course Title
Big Data Engineering
Course Code
WDC-203
Location
Online via Zoom
Instructor
TBD
Price
$4695

Big Data Engineering Program is 26 weeks, one night a week program. https://www.promineotech.com/otccodingbootcamps

The Big Data Engineering Program is designed to introduce the technically inclined student to the technologies and methodologies requested by hiring companies and used by real-world data engineers. This program is fast-paced and will cover a breadth of technologies, including Python programming, Hadoop and cloud-based services in Amazon Web Services (AWS). The student will also be introduced to such methods as data wrangling, munging, ingesting and modeling for analytics. 

By the end of the program the successful student will be prepared for an entry-level position as a data engineer, Python programmer or business intelligence developer. 

Data Engineering Prerequisites: 

  • Technical aptitude 
  • Logical thinker 
  • Comfortable with OS file system concepts 
  • Experienced downloading and installing software 
  • Experience working with data connections in Excel or other applications 
  • Experience creating macros and functions in Excel or other application 
  • Some exposure to programming is helpful but not required 

Data Engineering Breakdown.jpg

In the Data Engineering course, we cover technologies including Python, Data Structures, Error Handling, Logic, AWS, RDS, SageMaker, AWS Glue and Athena, EMR clusters, Hadoop, Hue, Hive, Spark, Amazon Aurora, Ingestion in AWS, Amazon Kinesis, Storage Concepts, Data Lake, Amazon Redshift, Normalization, Data Modeling, OLTP vs OLAP and Notebooks.

After you complete the pre-assessment you will be contacted with the next steps in the registration process. Take Assessment at this link https://www.promineotech.com/otccodingbootcamps

For more information please contact us at cwd@otc.edu or 417-447-8888

Computer with a webcam and microphone is required for class.

2022 Class Dates – All classes held 7:00pm-8:30pm

Wednesday evenings February 16 – August 10

Wednesday evenings May 11 – November 2


Register Online