4

Modules

200

Hours of instruction

200

Hours of labs

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 210 hours in duration and can be completed in 10 weeks from Mon-Fri between 9:00 AM – 6:00 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.

Syllabus

Modeling for Insights (A Well-Rounded Technical Foundation): Get hands-on training with the essentials of Structured Query Language, Analyzing and Visualizing data with Power BI, Power Query with Excel and Power BI.

Modeling for Prediction (Automation with Machine Learning): Data mining, statistical modeling, machine learning, and the Python programming language. Apply regression and classification techniques to power business forecasts and drive decision-making and strategy.

Scaling Analytics (Deploying Models into Production): Build high performance systems and pipelines with Spark in the cloud using Structured Query Language (SQL) and Python.

Certifications: Add industry leading certifications in Business Intelligence, Data science and Cloud to your resume.

Transform Raw Data into Actual Results: Learn to tackle business challenges with data science strategies and communicate your findings persuasively. Compile compelling stakeholder presentations and data visualizations as you collaborate with Cyber students or real-world clients.

Open Doors to High-Growth Career Paths: Equip yourself to succeed in a rapidly expanding sector with help from DA’s expert network of industry insiders. The data science tools and techniques taught in this program prepare graduates to take on roles as a data scientist, data analyst, business intelligence analyst, data visualization engineer, and more.

Real-World Projects: Solve challenges professional data scientists face, working individually and in teams.

Individualized Instructor Support: Get guidance, feedback, and more during scheduled one-on-one check-ins.

Alumni Network: Connect and collaborate with a diverse group of peers and experts.

Instructors

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 coaches work with you one-on-one to individualize your path to a new career. Stay on track and motivated from the first day of class!

Interview Preparation: Sharpen your ability to ace technical interviews and best communicate your data science and analytical skills. Showcase a portfolio of exploratory data analyses, including a capstone project, build a personal brand, and more.

Exclusive Networking Opportunities: Learn networking nuances, connect with hiring managers at exclusive DA-hosted events, and prepare to shine with mock interviews.

Calendar

Dates of courses

05 Oct

10/05/2020 | Divergence Academy

10-week / 400-hour immersive program curriculum includes 3 modules with 3 courses each. Modules include Modeling for Insights, Modeling for Prediction, Scaling Analytics, Career and Capstone.

26 Oct

10/26/2020 | Divergence Academy

10-week / 400-hour immersive program curriculum includes 3 modules with 3 courses each. Modules include Modeling for Insights, Modeling for Prediction, Scaling Analytics, Career and Capstone.

30 Nov

11/30/2020 | Divergence Academy

10-week / 400-hour immersive program curriculum includes 3 modules with 3 courses each. Modules include Modeling for Insights, Modeling for Prediction, Scaling Analytics, Career and Capstone.

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

Start Today With $0 Upfront

Income Share Agreement
Pay tuition back in manageable monthly installments after you land a job.
Not currently available to students outside the United States.
$0 upfront cost

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.

Scholarships

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

Loans

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

Installments

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

Full Tuition (With Pay Upfront Discount)

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

Research

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

Apply

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

Decision

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

Orientation

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.

Join this course now

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