image_fx_ - 2024-10-22T195721.386
Join Our Intermediate Data Science Course
Introductory to intermediate data science programming course for those who want to advance their careers in data science.
Course Overview 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 data cleaning, data manipulation, regression, classification, visualization, analysis, and communication. 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.

Upon completing this course, learners will master sorting and search algorithms, array manipulation, and establishing SQL connections for executing simple queries. They will achieve intermediate competency in Python, understand how frameworks operate, and gain a solid grasp of database design and management. Students will also learn and apply basic design patterns, enhance their debugging skills in Jupyter Notebooks, and complete large, end-to-end data science projects independently.

This course is NOT for:
  • Beginners, people learning to code
  • High schoolers

We’d recommend this course for: Industry professionals, data professionals looking to expand into data science, Bootcamp grads, Computer Science grads, Anyone with a basic foundation in Python.
Required Pre-requisites
1
Use the command line, use an IDE
2
Use Git, and in a group setting with mains, branches
3
Intermediate to advanced coding skills in a mid to low level language
4
Some previous professional development experience preferred
5
Must be competent and confident in at least one other mid or low level programming language (Javascript, Python, HTML/CSS and other high-level languages don’t count)
6
Extensive technical interview, resume, and profile training/resources
Find the Course Option that Works For You
Full-time and part-time and flexible pathway options available remotely.
Anytime Self-Paced Upskill
Study on your own schedule, at your own pace, fast or slow. No attendance requirements and no deadlines.
Up to 6 months
No meetings
START DATES
Start anytime
Apply now
Part-time Professional Flex​
Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.
6 months
Saturday meetings
START DATES
5 • 25 Mar 2025
Apply now
Part-time OR Full-time Intensive Bootcamps
Study full-time or part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
3 or 6 months
Tues/Thurs or Mon - Fri meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
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
Intermediate
Data Science Course Curriculum
What you’ll cover throughout your learning journey.
Data Science I Intermediate
  • Cover intermediate statistics

  • Use Python to complete mathematical operations and visualizations of data

  • Use Pandas and MatPlotLib

  • Understand and practice data manipulation, including formatting and structuring for use

  • Implement the basic data lifecycle: load, process, visualize, analyze
Statistical Programming in Python Intermediate
  • Complete multiple projects that require data scraping, data storage, and data processing

  • Display and visualize data, with a focus on learning to communicate findings with non-technical audiences

  • Convert between database types, SQL & CSV

  • Merge two ugly databases
Introduction to Machine Learning Intermediate
  • Cover classification, linear regression

  • Build a recommendation system model working with large-ish datasets

  • Collect and clean data, then split it into training and other sets required

  • Test and evaluate your model using various methods and metrics (RMSE, MAE, etc.)
Course Meetings for Part-time Flex and Intensive Bootcamps
Morning Standup
Daily standup meetings are conducted to kick off the day, Learners share progress since last session, discuss roadblocks, and brainstorm solutions, fostering support and goal clarity. Facilitated by program managers, these meetings ensure everyone shares updates, mirroring industry practices.
Live Coding Sessions
As part of the group session, a learner will tackle a coding problem, sharing their thought process to the group, inviting discussion and alternative solutions.
Collaborative Coding Workshop
Students collaborate in small groups on unique timed coding challenges. Results are shared and then to reinforce their grasp of terminology and potential interview questions, a quick ‘Skills Check’ quiz is presented.
Weekly Technical Presentation
Explore industry-relevant technical subjects that are not typically addressed in projects. Activities range from individual presentations to  group work completing “new technology canvas” worksheets followed by brief presentations.
Engineering Case Studies
A case study is selected in advance that aligns with the program’s curriculum, learning objectives, and student expertise levels, ensuring a variety of topics. Following this, we engage in reading, analyzing, and discussing business challenges and data privacy issues, etc. fostering collaboration and diverse viewpoints.
Required Study Time
Our virtual library offers private breakout rooms for one-on-one conversations or focused group discussions. Whether working independently or in groups, respectful communication and active listening are prioritized.
Pair Programming Pods
A collaborative workspace where two learners work together on the same project. Partners can readily share ideas, solve problems, and learn from each other’s coding skills.
image_fx_ (18)
Stop Boring Online Courses!
All tracks use project-based learning, meaning you will spend most of your time coding. Manage your work and assignments in our proprietary learning platform that’s designed to reflect the working life of an engineer.
Expect to be assigned projects, coding exercises, and peer code reviews. Our platform includes:
  • Autocorrection system
  • Automatic code quality evaluator
  • Integrated development environment
  • Integrated Git system
  • Sophisticated peer code review system with IDE and Git all connected, gamified with points you earn and spend
  • Discord chat for each course
Learn more
image_fx_ (30)
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:
Learn more
Group debugging session
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
How Learning Works What you will be doing throughout the program.
Learn more
Projects
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.
Excercises
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!
Role Play
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.
Gamification
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.
image_fx_ (86)
Course Costs and Tuition
Course costs are below and payment is due upfront.
Costs include ll assignments and course materials: projects, coding exercises, project resources, Discord channel access. No additional fees.
Self-Learning Upskill
For those who want to learn on their own without deadlines or meetings.
Sale! $249
Cost: $500
Part-time Professional Flex
Monthly meetings on Saturdays and access to our support community.
Sale! $699
Cost: $1000
Intensive Bootcamp
Full-time or Part-time intensive, structured learning with career support.
Sale! $1499
Cost: $2000
image_fx_ (93)
Career Progression and Support
For intensive bootcamp learners, we provide career preparation and support. Qwasar has created a career support track and community called Technical Interview Preparation Program (TIPP), which students join in Season 2. This includes:
  • Interview Preparation and Practice
  • Data Structures and Algorithms Course
  • Resume and Profile Preparation
  • Technical Portfolio Development
  • Useful Resources
Learn more
qwasar dots 1
Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineerin
Application Process
Admissions requires an application, an interview, and completion of the enrollment form with payment.
The Self-Learning Upskill options do not require an application or interview.
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 Backend 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.
image_fx_ - 2024-11-19T174827.317
View Our Master’s in Computer Science
Discover our modern Master’s of Science in Computer Science degree program.
image_fx_ - 2024-11-19T175142.895
Explore Our Courses
From Rust to C++, full stack, AI, or data science, explore our shorter certificate courses.
Course Overview 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 data cleaning, data manipulation, regression, classification, visualization, analysis, and communication. 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.

Upon completing this course, learners will master sorting and search algorithms, array manipulation, and establishing SQL connections for executing simple queries. They will achieve intermediate competency in Python, understand how frameworks operate, and gain a solid grasp of database design and management. Students will also learn and apply basic design patterns, enhance their debugging skills in Jupyter Notebooks, and complete large, end-to-end data science projects independently.

This course is NOT for:
  • Beginners, people learning to code
  • High schoolers

We’d recommend this course for: Industry professionals, data professionals looking to expand into data science, Bootcamp grads, Computer Science grads, Anyone with a basic foundation in Python.
Required Pre-requisites
1
Use the command line, use an IDE
2
Use Git, and in a group setting with mains, branches
3
Write, use, and be able to apply loops, functions, if statements, conditionals, in Javascript, Python, or modern language (HTML/CSS doesn’t count)
4
Ability to abstract and infer
5
Basic understanding of memory and operating systems
6
Extensive technical interview, resume, and profile training/resources
Find the Course Option that Works For You
Full-time and part-time and flexible pathway options available remotely.
Anytime Self-Paced Upskill
Study on your own schedule, at your own pace, fast or slow. No attendance requirements and no deadlines.
Up to 6 months
No meetings
START DATES
Start anytime
Apply now
Part-time Professional Flex​
Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.
6 months
Saturday meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time OR Full-time Intensive Bootcamps
Study full-time or part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
3 or 6 months
Tues/Thurs or Mon - Fri meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
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
Intermediate Data Science Course Curriculum
What you’ll cover throughout your learning journey.
Data Science I Intermediate
  • Cover intermediate statistics

  • Use Python to complete mathematical operations and visualizations of data

  • Use Pandas and MatPlotLib

  • Understand and practice data manipulation, including formatting and structuring for use

  • Implement the basic data lifecycle: load, process, visualize, analyze
Statistical Programming in Python Intermediate
  • Complete multiple projects that require data scraping, data storage, and data processing

  • Display and visualize data, with a focus on learning to communicate findings with non-technical audiences

  • Convert between database types, SQL & CSV

  • Merge two ugly databases
Introduction to Machine Learning Intermediate
  • Cover classification, linear regression

  • Build a recommendation system model working with large-ish datasets

  • Collect and clean data, then split it into training and other sets required

  • Test and evaluate your model using various methods and metrics (RMSE, MAE, etc.)
Course Meetings for Part-time Flex and Intensive Bootcamps
Morning Standup
Daily standup meetings are conducted to kick off the day, Learners share progress since last session, discuss roadblocks, and brainstorm solutions, fostering support and goal clarity. Facilitated by program managers, these meetings ensure everyone shares updates, mirroring industry practices.
Live Coding Sessions
As part of the group session, a learner will tackle a coding problem, sharing their thought process to the group, inviting discussion and alternative solutions.
Collaborative Coding Workshop
Students collaborate in small groups on unique timed coding challenges. Results are shared and then to reinforce their grasp of terminology and potential interview questions, a quick ‘Skills Check’ quiz is presented.
Weekly Technical Presentation
Explore industry-relevant technical subjects that are not typically addressed in projects. Activities range from individual presentations to  group work completing “new technology canvas” worksheets followed by brief presentations.
Engineering Case Studies
A case study is selected in advance that aligns with the program’s curriculum, learning objectives, and student expertise levels, ensuring a variety of topics. Following this, we engage in reading, analyzing, and discussing business challenges and data privacy issues, etc. fostering collaboration and diverse viewpoints.
Required Study Time
Our virtual library offers private breakout rooms for one-on-one conversations or focused group discussions. Whether working independently or in groups, respectful communication and active listening are prioritized.
Pair Programming Pods
A collaborative workspace where two learners work together on the same project. Partners can readily share ideas, solve problems, and learn from each other’s coding skills.
Stop Boring Online Courses!
All tracks use project-based learning, meaning you will spend most of your time coding. Manage your work and assignments in our proprietary learning platform that’s designed to reflect the working life of an engineer.
Expect to be assigned projects, coding exercises, and peer code reviews. Our platform includes:
  • Autocorrection system
  • Automatic code quality evaluator
  • Integrated development environment
  • Integrated Git system
  • Sophisticated peer code review system with IDE and Git all connected, gamified with points you earn and spend
  • Discord chat for each course
Learn more
image_fx_ (18)
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:
Learn more
image_fx_ (30)
Group debugging session
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
How Learning Works What you will be doing throughout the program.
Learn more
Projects
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.
Excercises
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!
Role Play
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.
Gamification
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.
image_fx_ (86)
Course Costs and Tuition
Course costs are below and payment is due upfront.
Costs include ll assignments and course materials: projects, coding exercises, project resources, Discord channel access. No additional fees.
Self-Learning Upskill
For those who want to learn on their own without deadlines or meetings.
Sale! $249
Cost: $500
Part-time Professional Flex
Monthly meetings on Saturdays and access to our support community.
Sale! $699
Cost: $1000
Intensive Bootcamp
Full-time or Part-time intensive, structured learning with career support.
Sale! $1499
Cost: $2000
image_fx_ (93)
Career Progression and Support
For intensive bootcamp learners, we provide career preparation and support. Qwasar has created a career support track and community called Technical Interview Preparation Program (TIPP), which students join in Season 2. This includes:
  • Interview Preparation and Practice
  • Data Structures and Algorithms Course
  • Resume and Profile Preparation
  • Technical Portfolio Development
  • Useful Resources
Learn more
qwasar dots 1
Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering •
Application Process
Admissions requires an application, an interview, and completion of the enrollment form with payment.
The Self-Learning Upskill options do not require an application or interview.
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.
image_fx_ (78)
Silicon Valley Standards
We’re the only program to train students to Silicon Valley programming standards. Understand Valley standards.
Photo
Student Experience vs. Others
How do Qwasar programs compare to other tech training options out there? Find out how we stack up.
Learn more
image_fx_ - 2024-11-19T175142.895
Explore Our Courses
From Rust to C++, full stack, AI, or data science, explore our shorter certificate courses.
image_fx_ - 2024-10-22T195721.386
Join Our Intermediate
Data Science Course
Introductory to intermediate data science programming course for those who want to advance their careers in data science.

Course Overview

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 data cleaning, data manipulation, regression, classification, visualization, analysis, and communication. 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.

Upon completing this course, learners will master sorting and search algorithms, array manipulation, and establishing SQL connections for executing simple queries. They will achieve intermediate competency in Python, understand how frameworks operate, and gain a solid grasp of database design and management. Students will also learn and apply basic design patterns, enhance their debugging skills in Jupyter Notebooks, and complete large, end-to-end data science projects independently.

This course is NOT for:
  • Beginners, people learning to code
  • High schoolers

We’d recommend this course for: Industry professionals, data professionals looking to expand into data science, Bootcamp grads, Computer Science grads, Anyone with a basic foundation in Python.

Required Pre-requisites

1

Use the command line, use an IDE

2

Use Git, and in a group setting with mains, branches

3

Write, use, and be able to apply loops, functions, if statements, conditionals, in Javascript, Python, or modern language (HTML/CSS doesn’t count)

4

Ability to abstract and infer

5

Basic understanding of memory and operating systems

6

Extensive technical interview, resume, and profile training/resources

Find the Course Option that Works For You

Full-time and part-time and flexible pathway options available remotely.
Anytime
Self-Paced Upskill
Study on your own schedule, at your own pace, fast or slow. No attendance requirements and no deadlines.
Up to 6 months
No meetings
START DATES
Start anytime
Apply now
Part-time
Professional Flex​
Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.
6 months
Saturday meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time OR Full-time
Intensive Bootcamps
Study full-time or part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
3 or 6 months
Tues/Thurs or Mon - Fri meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
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
Intermediate Data Science

Course Curriculum

What you’ll cover throughout your learning journey.
Data Science I
Intermediate
  • Cover intermediate statistics

  • Use Python to complete mathematical operations and visualizations of data

  • Use Pandas and MatPlotLib

  • Understand and practice data manipulation, including formatting and structuring for use

  • Implement the basic data lifecycle: load, process, visualize, analyze
Statistical Programming in Python
Intermediate
  • Complete multiple projects that require data scraping, data storage, and data processing

  • Display and visualize data, with a focus on learning to communicate findings with non-technical audiences

  • Convert between database types, SQL & CSV

  • Merge two ugly databases
Introduction to Machine Learning
Intermediate
  • Cover classification, linear regression

  • Build a recommendation system model working with large-ish datasets

  • Collect and clean data, then split it into training and other sets required

  • Test and evaluate your model using various methods and metrics (RMSE, MAE, etc.)

Course Meetings for Part-time Flex and Intensive Bootcamps

Morning Standup
Daily standup meetings are conducted to kick off the day, Learners share progress since last session, discuss roadblocks, and brainstorm solutions, fostering support and goal clarity. Facilitated by program managers, these meetings ensure everyone shares updates, mirroring industry practices.
Live Coding Sessions
As part of the group session, a learner will tackle a coding problem, sharing their thought process to the group, inviting discussion and alternative solutions.
Collaborative Coding Workshop
Students collaborate in small groups on unique timed coding challenges. Results are shared and then to reinforce their grasp of terminology and potential interview questions, a quick ‘Skills Check’ quiz is presented.
Weekly Technical Presentation
Explore industry-relevant technical subjects that are not typically addressed in projects. Activities range from individual presentations to  group work completing “new technology canvas” worksheets followed by brief presentations.
Engineering Case Studies
A case study is selected in advance that aligns with the program’s curriculum, learning objectives, and student expertise levels, ensuring a variety of topics. Following this, we engage in reading, analyzing, and discussing business challenges and data privacy issues, etc. fostering collaboration and diverse viewpoints.
Required Study Time
Our virtual library offers private breakout rooms for one-on-one conversations or focused group discussions. Whether working independently or in groups, respectful communication and active listening are prioritized.
Pair Programming Pods
A collaborative workspace where two learners work together on the same project. Partners can readily share ideas, solve problems, and learn from each other’s coding skills.

Stop Boring Online Courses!

All tracks use project-based learning, meaning you will spend most of your time coding. Manage your work and assignments in our proprietary learning platform that’s designed to reflect the working life of an engineer.
Expect to be assigned projects, coding exercises, and peer code reviews. Our platform includes:
  • Autocorrection system
  • Automatic code quality evaluator
  • Integrated development environment
  • Integrated Git system
  • Sophisticated peer code review system with IDE and Git all connected, gamified with points you earn and spend
  • Discord chat for each course
Learn more
image_fx_ (18)
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:
Learn more
image_fx_ (30)
Group debugging session
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

How Learning Works

What you will be doing throughout the program.
Learn more
Projects
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.
Excercises
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!
Role Play
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.
Gamification
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.
image_fx_ (86)

Course Costs and Tuition

Course costs are below and payment is due upfront.
Costs include ll assignments and course materials: projects, coding exercises, project resources, Discord channel access. No additional fees.
Self-Learning Upskill
For those who want to learn on their own without deadlines or meetings.
Sale! $249
Cost: $500
Part-time Professional Flex
Monthly meetings on Saturdays and access to our support community.
Sale! $699
Cost: $1000
Intensive Bootcamp
Full-time or Part-time intensive, structured learning with career support.
Sale! $1499
Cost: $2000
image_fx_ (93)

Career Progression and Support

For intensive bootcamp learners, we provide career preparation and support. Qwasar has created a career support track and community called Technical Interview Preparation Program (TIPP), which students join in Season 2. This includes:
  • Interview Preparation and Practice
  • Data Structures and Algorithms Course
  • Resume and Profile Preparation
  • Technical Portfolio Development
  • Useful Resources
Learn more
qwasar dots 1
Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering •

Application Process

Admissions requires an application, an interview, and completion of the enrollment form with payment.
The Self-Learning Upskill options do not require an application or interview.

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.
image_fx_ - 2024-11-19T174827.317

View Our Master’s in Computer Science

Discover our modern Master’s of Science in Computer Science degree program.
Photo

Student Experience vs. Others

How do Qwasar programs compare to other tech training options out there? Find out how we stack up.
image_fx_ - 2024-11-19T175142.895

Explore Our Courses

From Rust to C++, full stack, AI, or data science, explore our shorter certificate courses.
image_fx_ - 2024-10-22T195721.386
Join Our Intermediate
Data Science Course
Introductory to intermediate data science programming course for those who want to advance their careers in data science.
Apply now Accreditation Login
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