Learn how to extract, analyze, and make predictions about real life data to make your applications smarter, faster, and cheaper.

Data science is how Facebook knows who to tag in your picture, it's how hedge funds short the market, and it's how the fight against cancer and other deadly diseases has turned to precision medicine for targeted therapies. In this 12 week course, you will be learning simple, yet powerful implementations of the frameworks and tools that data scientists use every day to make predictions about the very world that we live in. We will leverage the power of data from around the world to make predictions about real-life situations. Join us for the Fall Meet + Greet on August 30th to meet the instructors, staff, and other prospective students!
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Benefits of Taking this Course

Did you know that the average Data Scientist in the Baltimore area makes $84,000 / year. (Source: Indeed)

Job Placements

Upon passing this course, you'll get exclusive access to Betamore Works, our career concierge service that helps you find full-time employment & gigs.

Face-to-Face Interactions

Unlike online classrooms, you'll actually get to meet face-to-face with your instructor and other students, providing a much higher quality experience.

Real Labs, Real Projects

You'll be working on real projects in this course. If you don't have an idea for your own project, we'll pair you with our own real-world lab partners.


Here's what you'll be learning, broken down by weekly units

Unit 1: Intro to Data Science + Git
Unit 2: Python (pt. 1) + Data Science workflow
Unit 3: Python (pt. 2) + Pandas
Unit 4: Numpy + Regression
Unit 5: Scikit-Learn + Clustering
Unit 6: Data Visualization
Unit 7: Advanced supervising learning
Unit 8: Applications to Healthcare
Unit 9: Applications to Finance
Unit 10: Applications to Politics
Unit 11: Applications to your own data (pt. 1)
Unit 12: Applications to your own data (pt. 2)

Meet Your Instructor


Hunter Jackson

Cofounder at Proscia

Hunter founded Proscia in 2014 with technologists from the Johns Hopkins University and the University of Pittsburgh. Proscia is a digital pathology informatics company providing cloud-based storage, management, and analysis for digitized biopsy images.

His training in pure mathematics provides a deep understanding of the theory and methodologies used in data science and distributed computing. Through the years, he has published papers in complex analysis and algebraic topology, TA'd multiple upper-level undergraduate mathematics courses, as well as constructed the machine learning architecture for Proscia's tissue analysis platform. When he's not day-dreaming about neural networks, he's enjoying an IPA somewhere on the Chesapeake Bay.

Have a question? We're here with an answer!

When does this course take place?

Our Fall session of courses will launch in October 2017. This course will meet every Monday and Wednesday from 6pm-9pm for 12 weeks at Betamore's Federal Hill Campus. Join us for a Meet + Greet on Wednesday, August 30 at 5:30pm at Betamore.

Can I really learn these data science skills in 12 weeks?

That's completely up to you and how hard you are willing to work. The courses have been designed to aggressively teach you these skills in 12 weeks, but the real knowledge transfer from our experts to you comes from your willingness to follow along. We find students that dedicate 7+ hours per week in addition to class time on these skills are the most successful.

Do I need to bring a laptop?

Yes, you'll need to bring your own laptop. If you're taking the Intro to Full Stack Web Development Course, you'll need an Apple laptop. You are eligible for an Education Discount and can get a brand new MacBook Air for around $950.

How do I enroll in a course?

The first step to enrollment is for you to 'Request More Info' about a particular course. Then, we will have one of our admissions directors schedule a short interview with you to learn your needs and goals. (Do not be afraid! We are looking for beginners.) If we are a good fit for each other then we will check our course availability and, if we have space, offer you enrollment. If you accept, we can set up payment and secure your seat.

How much does the Applications of Data Science course cost?

The tuition for the Applications of Data Science course is $3,400. A deposit of $1,700 is required to confirm your spot (please read our refund policy to learn more about this). If you pay for the course upfront, you will receive a 10% discount.

What happens at the end of the course?

After the course is complete, we will give every student access to our Betamore Works program, a personalized career concierge service. If you took a course to sharpen your skills and have no interest in pursuing a new career, that's okay too.

What is your refund policy?

If you need to withdraw from one of our Academy courses prior to the start of the course, we will provide you with a full refund or credit good for future use towards any Betamore product or service. If you are one week or less into the course and you are unhappy with it for any reason, you can still receive a full refund or credit. Refunds beyond that point are prorated based on the date of withdrawal (you must submit this in writing to hello@betamore.com) and the amount you have already paid; during the second week of the course, you can receive a refund of up to 75% of the full course tuition, and after two weeks, no refunds will be given.

What prior programming or tech experience do I need for the Applications of Data Science course?

You do not need any specific programming or tech experience other than knowing how to use a computer for email and Internet access. Yes, we’re for real.

When do these courses take place?

The Fall session will begin the week of September 11. All of our courses meet twice a week from 6pm-9pm at Betamore's Light Street Campus in Federal Hill. The Front-end Web Development course meets every Tues and Thurs, the Digital Marketing and Analytics course meets every Tues and Thursday, and our Intro to Full Stack Web Development and Applications of Data Science courses meet every Mon and Wed. We hope you can join us at our Meet + Greet on August 30 to meet our instructors, staff, and other prospective students.

Hi, I'm Michele.
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