Data Science Pathway

Launch yourself into data science and engineering jobs at top-tier companies with confidence, technical skills and a strong portfolio.

Elite Data Science Program

About Our Data Science Pathway

Qwasar’s Data Science pathway focuses on end-to-end data management and use from collection to business decision-making, as well as strong fundamentals in data structures and algorithms. Our comprehensive, elite program is entirely project-based, meaning learners develop a strong technical portfolio as well as desired hard and soft skills.

Our focus is training learners to Silicon Valley standards, and in developing critical thinkers who love data, understand the data lifecycle and software development life cycle, and have worked with cloud tools as well as large and complex data sets.

Find the Program Option that Works For You

Full-time and part-time and flexible pathway options available remotely.

Part-time Professional Flex​

12-24 months

Monthly Sat. meetings

Study on a part-time basis with somewhat flexible options on course meetings. No project deadlines.

Start dates:

13 July 2024

14 Sept 2024

Intensive Bootcamps - Part Time

12-24 months

Tues/Thurs meetings

Study part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.

Start dates:

9 July 2024

10 Sept 2024

Intensive Bootcamps - Full Time​

9-12 months

Mon – Fri meetings

Study in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.

Start dates:

9 July 2024

10 Sept 2024

  • Join a specific cohort
  • Virtual meetings 1-3x per day
  • Learn in a community
  • 100% hands-on learning
  • Accountability & motivation

  • Stack courses back to back
  • OR take breaks between courses
  • Duration estimates are based on back-to-back courses

Set Yourself on a Path for Top Data Science Jobs

Companies are pretty clear about what they want in their candidates.

You should be asking the question, “How does our curriculum align with the job description of companies I want to work for one day?”

Here’s a list of companies or types or companies looking for candidates with the specific skill set and experience that aligns with this program’s curriculum:

  • Healthcare providers
  • Insurance industry
  • Verizon
  • Financial Industry, including JP MorganChase, Amex, Capital One

Languages and Tools

Languages and tools covered throughout the full stack developer program:

Data Science Program 1

Data Science Pathway Courses

Courses and programs that make up the Full Stack Pathway include:

Introductory to Intermediate C Programming

This course focuses on software engineering principles, as well as strong fundamentals in data structures and algorithms. Learners will cover fundamental computer programming concepts including arrays, strings, algorithms, pointers, hash data structures, and software architecture. This course gives you a solid foundation in computer programming fundamentals!

Intermediate Data Science

This intermediate level course is designed to equip learners with practical skills and knowledge to advance their careers in data science. It covers essential topics such as data cleaning, scraping, formatting, visualization, analysis, and SQL for database connectivity and queries. Learners will achieve intermediate competency in Python, understand frameworks and database design, and grasp basic design patterns, all while honing their debugging skills in Jupyter Notebooks.

Advanced Data Science

Complete end-to-end data science projects, focusing on applied regression and prediction models. Work with traffic models for data integration, pre-processing, model training, evaluation, and comparison analysis. Understand SMOTE, ADASYN, and GANs. Understand the impact and implications of fraud detection models on a business. Touch on NLP and differences in models for N-gram, RNN, CNN, SpaCy, and NER.

Data Science Capstone

Learners select an area of specialty for data science: finance, ecommerce, medtech, biotech, etc. They then specialize in this area by completing two projects, one of which is a capstone project of choice.

This is definitely not an introductory track. Minimum requirements are strictly enforced!

How Learning Works

What you will be doing throughout the program.

Data Science Program projects


Each season has a series of projects to complete that last 1 day to up to 3 months. These are problems and challenges to build software based on certain requirements and restrictions.

One example of a project would be to build a task-management software with tags, permissions, and a basic user interface.

Data Science Program exercises


Each week, participants will have 1-5 coding exercises to complete. These are accessed through our software and your code is auto-graded to ensure it is up to speed and functioning. This is part of the learning process. We have over 800 exercises in our library with thousands of test cases!

Data Science Program role play


We use role play to develop soft skills such as job negotiations or conflict resolution. We also use role play in technical interview practice where participants will both be the interviewee and the interviewer. This dual-sided perspective is unique to our program & helps build better interviewees.

Data Science Program gamification


Our system is gamified, meaning that you will earn and spend “Qpoints.” As you complete peer code reviews, you earn points and as you submit your projects for review, you will spend Qpoints.

What Sets Us Apart

Silicon Valley Standards

We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.

Technical Skills & Knowledge

Thanks to the depth and breadth of our program curriculum, you acquire a level of technical skills and knowledge that learners in other programs or bootcamps simply never acquire.

Strong Back-end Skills

The vast majority of bootcamps don’t cover data structures or algorithms. CS degrees don’t cover hands-on application of theory or actually developing software architecture. We cover both and your strong back-end skills and experience with databases, data structures, and algorithms will set you apart from other candidates.

Depth of Technical Portfolio

Learners develop a technical portfolio that has depth and shows the extent of their technical skills and ability to handle databases, deployments, and development. Neither bootcamps nor CS degrees offer this.

Why Qwasar

Why pay more, study less, and then spend 6-12 months trying to find a job (at a bootcamp or CS degree), when you could pay less, study more, and give yourself a much higher chance of gaining employment at (or before graduation)?

Unlike others, our learning model is backed by significant learning science and the learning experience is rooted in learning by doing and in a learning community.

Our employment rates are within 2 months of graduating, not 6 or 12, and most learners gain employment before they finish the curriculum.

We’re way cheaper than other options, and offer flexible learning opportunities.

We list some of the reasons why you should consider Qwasar:

  • Train to Silicon Valley standards

  • MUCH greater depth of fundamentals, data structures, algorithms

  • Freedom and flexibility in learning – i.e. time to learn what you don’t understand

  • Hugely diverse and welcoming learning community

  • Depth and breadth of languages, technical skills, and frameworks covered

  • Extensive technical interview, resume, and profile training/resources

  • Industry-leading coding and learning management platform

  • Access to alumni network for referrals to jobs

Real Employer Partnerships and High Employment Rates

Qwasar works directly with employers and hiring partners who recruit from our programs. Partners include LinkedIn, Capgemini, Workday, Claris, Accenture, Crowdstrike, and more.

Many employers have reached out to us to recruit directly from our programs. Qwasar is recognized in industry for its superior programs, curriculum, and graduates, and as a result, our learners often have significantly better opportunities for recruitment into jobs, internships, and apprenticeships compared to bootcamp grads.

As of June 2022, our programs have a 95% employment rate for learners who finish the program, with most learners gaining employment before they finish the program. The employment rate is calculated within 6 weeks of graduation, NOT 6-12 months after graduation.

Data Science Program 2


What to Expect


At Qwasar, you are responsible for your learning, just as you would be responsible for your work in a job. Problem-based learning involves finding, trying, and building solutions. With no single source of truth and no answers provided, it’s up to you to figure out how to make your code work, when and how to ask for help, and how to successfully build software in a team.

Data Science Program what to expect

Attend an Information Session

Join us for a session on what learning is like at Qwasar. Sign up to learn more about our program options and how each cohort works:

Join an Outstanding Learning Community!

Joining Qwasar is about joining a learning community. Learning on your own is hard, watching online videos can be boring, and sharing your learning journey (and certainly lots of jokes) with others is important.


Our platform and Discord chat, as well as our program meetings, are all about building and participating in the community. When you join our programs, you have access to:

  • Group debugging sessions
  • Small group sessions
  • Virtual coworking rooms
  • Sophisticated peer code review system
  • Coding collaboration workshops and pair programming
  • Our lively Discord online chat (with a tech news section and a meme section)

Transitioning Careers? Join the Club!

Qwasar is a hive of career switchers. We have people who are or were: baristas, retail associates, medical assistants, accountants, professional musicians, biomedical researchers, teachers, finance directors, IT support professionals, network engineers, mechanical engineers, college students in non-technical fields, business analysts, writers, translators, and more.

We also have career returners and veterans in the community.

Chances are high that you’ve got transferable skills. Here’s an example we put together for people transitioning from accounting:

A 6-Step Guide on How to Transition From Accounting to Tech
Data Science Program 3

Check Job Descriptions: Our Curriculum Aligns to Employer Demands

Our curriculum is based on what employers are looking for in data scientists.
Other programs don’t cover the minimal level required by Tier 1 tech companies.

Here’s how we stack up:




CS Degree

Hands-on experience designing and implementing data architecture, able to contribute to architecture discussions

(architecture provided)


Proven experience with programming languages/tools and working with large and complex data sets (Python, PyTorch, SQL, Jupyter, TensorFlow, etc.)


Depends by student

Experience with the data management lifecycle, i.e. collection, cleaning, storage, analysis, etc.



Proven experience using data to solve business challenges (choosing data, training models, analyzing algorithm options, communicating solutions)



Proven experience in data visualization and communicating results with non-technical audiences.




Habituated to collaborating to solve problems, pair programming, and communicating in-person and remotely



Data Science Program shooting star

Information Sessions

Join us for a session on what learning is like at Qwasar. Sign up to learn more about our program options and how each cohort works.

Data Science Program shooting star

Qwasar vs. Others

How do Qwasar programs compare to other tech training options out there? Find out how we stack up.

Data Science Program shooting star

View Platform

Software drives our programs and learners access one of the world’s most innovative learning platforms for tech talent training.