16 Week Big Data Engineering Bootcamp
Montana Code School through the University of Montana and Missoula College
Upcoming Start Date
November 30, 2023
Are you interested in learning about big data engineering and wondering if it's right for you? Take our short, 12-question assessment to see if data engineering may be a good fit for you!
Become a Data Engineer
Learn high demand skills that will make you a competitive data engineer in a rapidly expanding industry.
This program is offered through Montana Code School in collaboration with Promineo Tech.
The Montana Code School is a program of the University of Montana & Missoula College. The Montana Code School has graduated over 150 students, with most progressing to successful careers in the tech industry
Promineo Tech partners with community colleges to prepare participants for high-growth careers in big data. Promineo Tech is a group of IT professionals and leaders who believe that quality education should be offered at an affordable price.
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:
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
Part-time. Flexible. Affordable.
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.
Does this sound like a good fit for you?
Let's get started!