montec3.jpg

26 Week Big Data Engineering Bootcamp

with Montana Code School through the University of Montana and Missoula College

Upcoming Cohorts
Wednesday, February 16th 2022

montec3.jpg

Thinking about learning to code and wondering if it's right for you? Take our short, 12-question assessment to see if software development may be a good fit for you!

Become a Data Engineer

press to zoom

press to zoom

press to zoom

press to zoom
1/4

Learn high demand skills that will make you a competitive developer 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 software development. Promineo Tech is a group of IT professionals and leaders who believe that quality education should be offered at an affordable price.

Montana Code School relaunches, open to rural, remote learners

‘We live in the age of information’

pexels-kevin-ku-577585 (1).jpg

About the Program

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 (1).jpg

Part-time. Flexible. Affordable. 

LMS2.png

What to Expect

Students meet for class once a week at a set time in a virtual environment. In addition to the weekly class meeting, students meet once a week for a remote, 30-minute one-on-one with a mentor.

 

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!

Step 1:

Step 2:

Congrats on making it through all the information on this page! At this point, you probably either know that you want to enroll and are wondering what the next steps are, or you still aren't sure if coding is for you. The answer to either question is to take a no-pressure, practice quiz by clicking the button below.