Elite Data Science Program
Launch yourself into data science and engineering jobs at top-tier companies with confidence, technical skills and a strong portfolio.
Get Into Top-Tier Data Science Jobs
Compare what job requirements demand and what you’ll do at Qwasar
Python, Pytorch, R, SQL and noSQL databases, Splunk, Tableau or data visualization tools, Jupyter, Panda,
Python, Pytorch, R, SQL and noSQL databases, Splunk, Tableau or data visualization tools, Jupyter, Panda
Experience building and developing data models, familiarity with the software development cycle, ability to handle complex data sets including collection, storage, extraction, and visualization
Build multiple data models with large and complex (and unstructured) data sets, collecting, storing, and displaying data with the goal of impacting business decisions, reflective of real data science projects
Problem solving, creativity, strong written and verbal communication, get-it-done attitude
Structured problem solving, creativity, strong written and verbal communication and collaboration skills, get-it-done attitude
Program Options Available
Full-time and part-time programs available remotely.
- Join a specific cohort
- Virtual meetings 1-3x per day
- Learn in a community
- 100% hands-on learning
- Accountability & motivation
- Live coding sessions
- Interviews with industry SWEs
- Minimum 3-month commitment for each program option
Data Science Program Curriculum
What you’ll cover throughout your learning journey. Direct entry to Seasons is available.
Basic software engineering principles, variables, functions, loop statements, if statements, basic algorithms and data structures.
Cover fundamental computer programming concepts and learn the basics of C. Build a solid foundation in back-end programming including pointers, arrays, strings, algorithms, hash data structures, software architecture, blockchain basics and more.
C IDE Assembly
SEASON 2 DATA SCIENCE
Learners move on to Python and the fundamentals of machine learning, covering regressions, training sets, structured vs unstructured data, and data collection, display, and storage. Learners also cover some of the cloud-based tools available for ML.
SEASON 3 DATA SCIENCE
After getting a handle on Python, learners advance deeper into machine learning, large/complex data sets, business principles and the use of data to improve key business outcomes, and how data can be a strategic asset to a business. Learners complete multiple real-world, larger projects.
Python, Panda, Tensor Flow, Keras, Jupyter
SEASON 3 DATA SCIENCE
Learners complete a final program project that aligns with the industry in which they want to get a job. The project must be about 3 months in duration and of significant technical difficulty. Learners will also contribute to open source
projects from Kaggle and simultaneously complete 40 technical interviews.
Python, Panda, Tensor Flow, Keras, Jupyter
YOUR LEARNING JOURNEY
Learning Top Skills is Tough
Learning skills is like learning a sport, a musical instrument, or cooking: it takes time, learning by doing, trial and error, and lots of practice. NBA players don’t get good by watching lectures or videos. Skills-based learning at Qwasar is TOUGH.
DO NOT GIVE UP
The key to our programs is to not give up. No matter how difficult the problem is in front of you, do not give up. Great engineers do not give up but instead apply structured problem solving.
EARN AN ELITE CERTIFICATE
After your hard work and upon completing the program, learners will earn a certificate from Qwasar Silicon Valley for the Elite Data Science Program.
How Learning Works
What you will be doing throughout the program.
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.
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!
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.
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 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.
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.
Our entire program is designed to make you a great candidate. During the final Season, you will complete 40 technical interviews, gaining experience and practice for real technical interviews.
Strong Software Foundations
You gain strong foundations with advanced algorithms and data structures as well as databases and coding norms.
Strong Technical Portfolio
Thanks to our deep project-based learning approach, you naturally generate a technical portfolio that shows what you can do.
Proven Soft Skills & Problem Solving
Employers want people with strong, structured problem solving skills. We help you develop such skills and how to think when approaching problems and team projects.
Confidence in Interviewing
Because you practice so many interviews and have a strong foundational base in data structures and C programming, you can have confidence when you go into technical interviews.
To apply to our Data Science Program, expect the following steps:
Step 1: Submit your application online.
Step 2: We review your application.
Step 3: You will be invited to schedule a virtual interview.
Step 4: Following the interview, if accepted, you will be invited to enroll.
Step 5: You will receive an email with a link to the enrollment form.
Step 6: You complete the enrollment form.
Following a successful application and enrollment, you will be expected to attend orientation, virtually of course!
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.
Qwasar vs. Others
How do Qwasar programs compare to other tech training options out there? Find out how we stack up.
Software drives our programs and learners access one of the world’s most innovative learning platforms for tech talent training.