Course overview

Our Data Science Immersive course covers all the necessary tools and concepts used by data practitioners in the industry, including machine learning, statistical inference, and working with data at scale. Students use SQL and NoSQL tools as they advance in the course to build richer predictive models. On graduation, they will have obtained a good grasp of practical, relevant, and up-to-date tools and techniques and will have built numerous data science applications.

Student Experience

Our comprehensive course is 400 hours in duration and can be completed in two different schedules: 10 weeks from Mon to Fri between 9:00 AM – 6:00 PM, or 20 weeks from Mon to Fri between 9:00 AM – 1:00 PM.

Expert-Led Instruction That Gets You Job-Ready: Become a true data practitioner. Gain fluency in the field and collaborate with leading professionals through lectures, research exercises, and real-world client projects.

Exclusive Access to Leaders in Data Science: Our course offers countless opportunities to learn and engage with data science professionals and technologists from around the world.

Gain a Valuable Professional Network: Transform and grow your career alongside peers (and potential collaborators) on campus and in our Connected Classroom. Discover all the different paths you can take with this in-demand knowledge and skill set from those who have walked the walk. The DA community is a priceless resource — just ask our alumni.

Course Details

Modeling for Insights: Get acquainted to Modeling for insights through a well-rounded technical foundation which includes hands-on Structured Query Language labs, and then Model data using Data Analysis Expressions (DAX) using real-world examples that helps look at the reports in a different way i.e., with the correct model, the correct answer is always a simple one!

Modeling for Prediction: Automation with Machine Learning is the significant aspect of this module. Explore the data to generate hypotheses and intuition and communicate results through Analyzing and Visualizing data with Power BI, Data Shaping through Power Query, and Enterprise Business Process Automate using Power Platform and Azure Cognitive AI.

Scaling for Analytics: Scaling Analytics through the Auto ML – apply regression and classification techniques to power business forecasts and drive decision-making and strategy, Data Engineering through transfer of Power Query and M-Language skills into Azure Data Factory (ADF) and build skills to troubleshoot underperforming queries and drifting Machine Learning models.

Project Capstone: This module serves as the capstone for the 9 weeks of learning through integration of Data Science skills through a project focused on real-world open data. The learner may choose to work alone but preferably in a group of 2-3. In addition, support from staff is provided to tailor the data science process steps to develop a minimum viable data product. A learner is assessed on their problem hypothesis, statistical model, insights delivered through use of the model, flexibility of the model. The goal of this this module is to help a learner to develop an effective LinkedIn Profile, showcase project portfolio, prepare for interviews by revisiting their capstone problem, and share capstone project results.

Certifications: By the end of this course you will have the skills needed to acquire Microsoft Azure Fundamentals (AZ-900), Power Platform Fundamentals (PL-900), Data Analyst Associate (DA-100), Data Fundamentals (DP-900).

Data Analyst and Data Science Jobs: Equip yourself to succeed in a career such as Database Developer, System Engineer, Database Administrator, Report Visualizer, Power BI Architect, Data Visualization Engineer, Power Query Developer, Cloud Engineer, and Applied Data Scientist.


Our instructors represent the brightest professionals from companies like John Deere, Signify Health, Microsoft, Oracle and Amazon Web Services. They bring in-depth experience from the field to the classroom each day, providing invaluable insights into succeeding on the job.

Naveen Bannagani, Dallas, ‎Lead Data Science Instructor

Marcel Samuel, Dallas, Lead Data Science Immersive Instructor

Drew Minkin, Data Science Immersive Instructor

Career Support

Strategy and Accountability: Our Career Services team works with you to individualize your path to a new career. Stay on track and motivated from the first day of class!

Resume Review: Learn how to design and tailor your resume to land the career you are looking for. Remember: every word counts.

LinkedIn Optimization: LinkedIn profiles are now mandatory extensions of our resumes. Setting up a thoughtful, well-written profile is the make or break for many inquiring employers. Using industry tips and tricks, we’ll work with you to spruce up yours.

Interview Preparation: Set up mock interviews to nail the real thing. Learn to develop effective interview strategies, get detailed feedback, and reduce stress before actual interviews.

Networking Opportunities: Learn how to navigate uncharted networking waters, tap into our expanding Divergence Alumni network, and watch your support and contacts grow!

The Academy supports a full range of Financial Aid, Scholarship, Income Share Agreement, Education Loan and local Grant Programs for Data Science Immersive students. Follow the links below for details on each option

Tuition & Finance

View tuition & assistance info

Job Placement Possibilities

View employers who’ve hired our students

Admissions Process

View our admissions process

GI Bill®

For U.S. veterans, military spouses, and dependents of veterans.
GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs (VA). More information about education benefits offered by VA is available at the official U.S. government website.


Apply for grants with your local Workforce Solutions Office, that provide career services to underrepresented communities in tech.


Apply for a loan from one of our high-quality lender – Skills.Fund.
Financing as low as $450 a month


Divide tuition into three payments.
Currently only available in select U.S. markets.

Full Tuition (With Pay Upfront Discount)

Other Funding Options

Contact Admissions at 833-DIVERGE for funding options you may be eligible for.

Admissions Tour

Come visit our new training facility

Schedule an Admissions tour with our team to explore our new 10,000 sq ft space. Grab a coffee and meet Bear (our reigning, four-legged Chief Happiness Officer), step into a classroom, or find a comfy lounge and chat with one of our many helpful staff, alumni, or students about their experience here at Divergence Academy.

Admissions Process

Step 1


So you want to be an ethical hacker, social engineer, data analyst, data scientist, or data visualizer? Maybe you've heard the cloud is where it's at, or you're an industry veteran that needs a skills refresh. Ask Google, do some research, search profiles on LinkedIn, and ask questions. Curiosity and a knack for research are essential skills for a technologist. Spend some time and bring your questions to the next step.

Step 2


Let's talk through it: your background, chosen path, weekday or weekend schedule, funding options, and more. Schedule an appointment with our Admissions Team.

Step 3

Online Wookie Course

Curious folks, we will not make you wait to get started on your learning journey. You'll be enrolled from the get-go in either Data or Cyber Wookie. Each provides valuable resources to help our future data scientists or ethical hackers prep for the first day of class.

Step 4


Congrats! Your funding has been verified and you are accepted into the program. Be on the lookout for a personalized Acceptance Letter via e-mail. You can always call us at 833-DIVERGE.

Step 5


Experiencing first day jitters? Here's how we can help.
A week before your program starts, our Community Manager will get you onboarded to the learning platform, walk you through TWC enrollment paperwork, and connect you with future classmates.

Step 6

Ask Questions

"Besides technology skills, what else will help me land a solid job?"
Soft Skills.
And guess what? You can start practicing TODAY.

Frequently asked questions

Divergence Academy follows a 16:1 student to teacher ratio. Classrooms are equipped with six foot training tables, swivel ergonomic chairs and computers for each student. Instructors have flexible desk for standing or sitting, big screen TVs to display, whiteboards and the same capabilities for remote delivery.

“The Army’s COOL (Credentialing Opportunities On-Line), also known as Credentialing Assistance (CA) helps soldiers find information on certifications and licenses related to their jobs.  The program can pay for courses and exams that lead to industry-recognized civilian credentials in an occupational area of your choice.”

“Civilian credentials are important for two reasons:

Career Advancement Civilian credentialing can contribute to military career development, and may be accepted for self-development requirements and in performance evaluations.

Smoother Transitions When you transition back to civilian employment, credentials help you translate your military training and experience into something civilian employers can easily recognize. That can help you get hired, get a better job, or be promoted sooner!”

“CA is subject to the same funding ceiling as Tuition Assistance (TA). A Soldier may use both TA and CA; however, you can’t get more than $4,000 total from both programs per fiscal year.”

“Eligible Soldiers include those who are: Regular Army, Active Guard/Reserve (AGR) pursuant to Title 10 and Title 32, U.S. Army Reserve (USAR), and Army National Guard (ARNG) in an active drilling status with a designation as satisfactory.”