Change & Accelerate your career with our

Data Science programs

We offer three distinctive data science programs for various levels of learners with the high-quality standards and flexibility that you need to take your career to the next level.
classroom

Program #1

9 Months
Part-time, Instructor-Led, and Live
Data Science Bootcamp
with Capstone Project Program
elearning

Program #2

5-9 Months
Self-paced
Data Science Bootcamp
with Capstone Project Program
colleagues

Program #3

6 Weeks
Real-life Data Science
Capstone Project Program

Next Cohort Dates

New Self-paced Data Science Bootcamp Starts Every Week

elearning

Program #2

5-9 Months
Self-paced
Data Science Bootcamp
with Capstone Project Program
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Join Our Next Instructor-Led Data Science Bootcamp Starting in December!

classroom

Program #1

9 Months
Part-time, Instructor-Led, and Live
Data Science Bootcamp
with Capstone Project Program

Our next 36-week live online data science bootcamp starts in December. It’s an immersive program designed to give you the skills and connections you need to launch a career in data science.

Previously, we held multiple live information sessions where our team discussed what students will learn during the 36 weeks of project-based coursework and training. The sessions were recorded, feel free to watch them.

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Watch Our Previous

Info Sessions

Watch our previously recorded information sessions to meet our instructors and dive into the curriculum. We answered a lot of questions from who were watching the sessions live.

Click here to Watch Info Session #5 (English)

Click here to Watch Info Session #4 (Turkish)
for various levels of learners and career-changers

our Data Science Programs

OUR INSTRUCTORS ARE A MIX OF UNIVERSITY PROFESSORS AND INDUSTRY EXPERTS WITH AN ACADEMIC AND/OR BUSINESS FOCUS ON DATA SCIENCE.

OUR DATA SCIENCE TEAM

Hatice Halac, PhD

Curriculum Designer, CAP Stone Project Instructor

Murat Ergen, MSc

Curriculum Designer, CAP Stone Project Instructor

Cetin Urtis, PhD

Curriculum Developer

Hamza Y. Danisman, PhD

Instructor

Abdullah Ficici, PhD

Instructor

Ozkan Serttas, PhD(c)

Instructor

Davud Davudov, PhD

Instructor

Ertan Kaya, PhD(c)

Curriculum Developer

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Step into the future

Get started with 4 easy steps

1

Information

Attend one of our info sessions and learn about the program
2

Application

Fill out the application form with all the required details
3

Consultation

Get a free consultation on your data science career path
4

Admission

Get started with your course by filling out required paperwork
ACCELERATE YOUR DATA SCIENCE CAREER

WHY DATA SCIENCE VISTA?

Curriculum Curated by Industry Experts

Our curriculum is designed and continually updated by industry experts to ensure relevance and that you are ready to take up emerging roles in AI, Data Science, Machine Learning, and Deep Learning.

Instructors from Professors and Industry Experts

Our instructors are a mix of university professors and industry experts with an academic and/or business focus on statistics, analytics, and data science.

Remote and Part-time Schedule

Our bootcamp is fully remote, online, real-time, collaborative, and offered on a part-time schedule, so you can keep your daytime commitments while training at night and on the weekends.

Real-world & Industry-worthy Capstone Projects

You will demonstrate your mastered skills with industry-worthy final capstone projects. Adding these real-world projects to a portfolio will help you attract recruiters and potential employers.

One-on-one Mentorship Program

1:1 mentorship from industry experts and alumni advisors will assist to succeed in your data science career and help you stay on track and as you tackle your goals.

Personalized Career Coaching

During your job search, you’ll meet weekly with your dedicated Career Coach. Coaches help with everything from résumé review to interview prep, and help you tell your story to land your first job.
All you need to learn

CURRICULUM Details

Course Content

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Live Sessions
LABS
Lesson Content
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Modules
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From non-coding essentials to data science and machine learning

proven learning methodology

1

Learn

Complete online and interactive courses from experienced data scientists
2

Practice

Practice daily and gain hands-on industry experience
3

Solve

Work on real data and real-world scenarios and test your skils
4

Portfolio

Complete portfolio-worthy projects that will impress employers.
5

Support

Get personalized career support to sharpen your ability to master technical interviews
6

Community

Be welcomed into a community of active data professionals through our alumni network
What our STUDENTS say

Testimonials

Alumni
Completing real data based capstone projects on diverse and up-to-date topics really helped me to be confident about how to apply my technical skills to solve problems in practical situations.
Hong R. Alumni
Alumni
The hands-on experience from end to end, specifically the relevance of the techniques to that in industry, is going to be a long-term benefit for me and certainly for any students.
Brendon F. Alumni
Alumni
You learn from the experts. As you are taking courses, you are really learning from the best instructors in the world.
Elisa E. Alumni
Alumni
My mentors were great, had real-world experience and served as a great resource to help me define a project as well as solve technical questions with my coding. They also provided extra resources if I wanted to practice or further develop a skill from the program.
James H. Alumni
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All you need to know

Frequently Asked Questions

Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning, and big data.
Data scientists are research scientists who gather and analyze large sets of structured and unstructured data. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.
Data Science and Artificial intelligence career path is centered on understanding models and being able to implement those models: good applied mathematician who can program an application for proof-of-concept. Popular jobs are: Data Engineer, Data Analyst, and Data Scientist.
The major offers a wide variety of opportunities across industries such as operations analyst, marketing analyst, financial analyst.
  • Career Launchers, wanting to enter an exciting, evolving field with a foundation that ensures flexibility as new platforms and technologies emerge. Titles may include business analyst, financial analyst, software engineer, data analyst and associates.
  • Career Builders, aiming to build on their existing skills, whether in a technical or non-technical capacity. Titles may include technical and non-technical roles across fields and industries.
  • Career Switchers, seeking new ways to expand opportunities, engage in continuous learning, and increase their earning potential in a high-demand field. Titles may include non-technical professionals at the junior management or early executive level in a business function such as general management, sales, marketing, administration or human resources banking & financial services, consulting, operations and information technology.
Yes, each live session is recorded and made available to students for review a few days after it has taken place.
We offer a variety of different financing options, including installment plans and scholarships, so you can focus on what counts — your education. Speak with our Admissions team to learn more and find the best fit for you and your finances.

For your capstone project, you’ll tackle a real-world data problem from end to end. Develop a pitch and problem statement, source and collect relevant data, conduct an exploratory data analysis, and build a predictive model. You’ll document and share your findings through a presentation, technical report, and non-technical summary.

Throughout this Immersive, you’ll also compile a portfolio of projects designed to reinforce what you’ve learned in each unit. Gain hands-on experience with statistical and machine learning models, Python programming tools, recommender systems, neural networks, and more.

Clients & Hiring Partners