1.
BrainStation 4.7/5 (236 reviews)
2.
WeCloudData 5/5 (99 reviews)
3.
General Assembly 4.75/5 (23 reviews)
4.
Lighthouse Labs 4.85/5 (38 reviews)
5.
CareerFoundry 4.8/5 (80 reviews)
6.
Springboard 4.95/5 (23 reviews)
7.
University of Toronto School of Continuing Studies 4.15/5 (15 reviews)
8.
The G. Raymond Chang School of Continuing Education, Toronto Metropolitan University 5/5 (5 reviews)
BrainStation
Founded in 2012, BrainStation has cemented its reputation as a global leader in digital skills training by delivering programs that teach practical tools and shape careers. With state-of-the-art campuses in Toronto and Vancouver, a strong online presence, and partnerships with top companies including Walmart, Mastercard, and Microsoft, BrainStation offers a dynamic learning environment for aspiring data professionals. Their programs are built to meet the needs of today’s tech-driven job market.
Why Study Data Science at BrainStation?
BrainStation’s Data Science Bootcamp is an intensive diploma program approved under the Ontario Career Colleges Act. Designed for individuals looking to enter the field of data science or artificial intelligence, the program covers everything from Python and SQL to machine learning and big data. Students gain real-world experience by working on projects for leading organizations like Amazon, Deloitte, and IBM, ensuring graduates are ready to tackle the challenges of a data-driven world.
For professionals seeking flexibility, BrainStation also offers a part-time Data Science Certificate Course focusing on foundational data science skills, ideal for anyone wanting to upskill or complement their existing expertise.
Both programs include bonus career services like workshops on building resumes, optimizing LinkedIn profiles, and preparing for interviews. Graduates also benefit from networking opportunities and one-on-one coaching, making the transition into data science roles smoother.
What Students Are Saying
“My instructors were incredible. The online portal for learning is impressive. The community of people, including the students, administration and professionals who speak at events and hire from BrainStation were all important parts of my experience. And did I mention it was all OSAP eligible? Yup. This was honestly a game changing experience for me and is a big part of the reason why I have a job in the field. ”
Sarah Lee, Data Science Diploma
Curriculum
BrainStation’s Data Science bootcamp is a full- or part-time program covering data analysis, Python, machine learning, and big data tools like Apache Spark and AWS. The program culminates in a capstone project and “Demo Day,” where students present their work to industry leaders. The emphasis is on practical, project-based learning, where students work with real-world datasets and tackle challenges that mirror those faced by data scientists today.
Locations
Toronto, Vancouver, New York, Miami, London, Online
WeCloudData
WeCloudData is a leading data science and AI academy in Canada, offering comprehensive programs tailored to equip students with the skills needed to excel in the data industry. Their Data Science Track is designed for beginners and those aiming to advance their skills, covering essential areas such as SQL and Python, database management, queries, data wrangling, Machine Learning and Deep Learning, and cloud computing.
Why Study Data Science at WeCloudData?
WeCloudData’s programs are project-based, ensuring that students grasp theoretical concepts and leverage tools and platforms that are in high demand today. The curriculum is highly adaptive to the latest market trends, providing hands-on experience with real client projects. This practical approach allows students to solve actual business problems, making them job-ready upon graduation.
What Students Are Saying
“I have an Engineering degree but have been running my own 'non-tech' business for over 15 years. I got interested in Machine Learning and Data Science after we sold our business. WeCloudData's Data Science Bootcamp allowed me to get up to speed with skill that are desirable in current job Market. The Bootcamp is intense. You need to do it full-time. Students should do their assignments and use the opportunity to practice presentation skills. The TAs are great and are very responsive. Assignments and projects are challenging so look through the curriculum and make a plan. After the course work is finished, you get two job placements in the industry. This is the feature that separates WeCloudData from the other bootcamps. Placements get your foot in the door. TAKE FULL ADVANTAGE of this. Look at it as a 3 month interview to showcase your abilities. Go above and beyond and you may get an offer (like I did). Sure there are many improvements that could be done to improve the delivery of the material. However, as a result oriented person, WeCloudData delivered on its promise. 5 stars based on results. ”
Song Chang, Data Science Bootcamp
Curriculum
WeCloudData’s Data Science Track is structured to provide a comprehensive, hands-on education that mirrors real-world applications. Key learnings include:
- Foundational training in SQL and Python
- Database design
- Data querying
- Data cleaning
- Exploratory data analysis
Students progress to advanced topics such as machine learning and deep learning, building skills to develop and fine-tune models for applications like image classification, sentiment analysis, and natural language processing. The final phase emphasizes practical skills in cloud computing, and equips graduates with the ability to solve complex business problems and deliver actionable insights in professional settings.
WeCloudData’s hybrid learning model combines self-paced, on-demand content with live workshops and personalized support. Students benefit from one-on-one mentorship with experienced teaching assistants, project feedback, and interactive sessions that foster collaboration and independent problem-solving, ensuring learners of all levels receive tailored guidance throughout the learning journey.
Locations
Online
General Assembly
General Assembly (GA) has redefined digital education by bridging the gap between talent and opportunity in today’s tech-driven economy. With a presence in 20 cities worldwide and an extensive online platform, GA provides cutting-edge programs designed to help individuals build the skills that employers need most. Since its inception in 2011, GA has graduated over 70,000 students and collaborated with 19,000 hiring partners, offering an educational experience that’s practical and transformative.
Why Study Data Science at General Assembly?
General Assembly’s Data Science Bootcamp immerses students in the tools and techniques needed to thrive as data professionals. The program covers essential topics while emphasizing hands-on, project-based learning. By the end of the program, students will have built a portfolio that showcases their ability to solve real-world problems.
For those looking for a shorter time commitment, GA’s Data Science Short Course offers foundational knowledge in predictive modeling, machine learning, and Python programming. Students learn to synthesize complex datasets into actionable insights and communicate these effectively.
What Students Are Saying
“Loved this program! Three months of hard work won't make you a data scientist, but it will give you way more than you expect. This course taught me exactly what I want to do with my career and what to do after graduation. The instructors are there for you 12 hours a day. When I fell behind in one section, my instructor spent an entire evening helping me catch up. At the end of it all, I got a job offer through an on-site interview at General Assembly. The community is extremely supportive and I'm very grateful. This was no doubt time and effort well spent. ”
Wallace, Array
Curriculum
General Assembly’s Data Science Immersive is a full-time program offering in-depth training in Python, SQL, machine learning, and data visualization. The bootcamp culminates in a capstone project where students demonstrate their skills to potential employers. The program includes extensive career support, with personalized coaching, resume workshops, and access to a network of hiring partners, ensuring students leave job-ready.
Locations
Toronto, Online, U.S., Europe, Asia and Australia
Lighthouse Labs
Established in 2013 by a team of software developers, Lighthouse Labs has transformed tech education in Canada by emphasizing hands-on, mentor-driven learning. With a strong presence across the country, they offer immersive programs designed to equip students with practical skills for the evolving tech industry.
Why Study Data Science at Lighthouse Labs?
Lighthouse Labs provides two flexible learning paths for their Data Science program:
12-Week Full-Time Bootcamp: Ideal for those aiming to transition swiftly into a data science career, this intensive program requires a commitment of approximately 50 hours per week, including five weekday lectures and hands-on projects.
30-Week Flexible Program: Designed for individuals balancing other commitments, this option involves around 25 hours per week, with two lectures weekly, allowing for a manageable integration into busy schedules.
Both formats cover the same comprehensive curriculum, ensuring all students receive a robust education in data science.
What Students Are Saying
“I made a final decision to transition from academia to Data Science in 2023. Through the ICT Boost Initiative, I was fortunate to be accepted into Lighthouse Labs Data Science Immersive Bootcamp. The bootcamp was a great experience and pushed me beyond boundaries I never knew I could break through. After graduating, I continued further learnings following the 8 - 11 hours pattern adopted from the bootcamp. Working with Nicole Hsueh (my assigned Career Advisor at Lighthouse Labs) was a huge source of support and encouragement because the job market was quite frustrating for some months. She gave me several job search tips and strategies. The Junior ML Developer role I landed was through her recommendation to one of the Lighthouse Labs partner organizations. I enjoyed the Lighthouse Labs bootcamp experience and also the entire support after graduating. It was an exhilarating experience I will gladly recommend at any time (depending on an individual's willingness to go beyond the limits). ”
Samuel Surulere, Data Science Bootcamp
Curriculum
The Data Science program encompasses:
- Programming for Data Science: Master Python, clean coding practices, and essential tools like Git and command line interfaces.
- Data Tools: SQL, Jupyter Notebook, data wrangling, and data visualization techniques.
- Machine Learning and Deep Learning: Understand and apply machine learning algorithms and explore deep learning concepts.
- Data Engineering and DevOps: Learn the Extract-Transform-Load (ETL) process and data pipeline management.
- Data Soft Skills: Develop communication and presentation abilities for technical and non-technical audiences, teamwork, and interview skills.
A notable addition to the curriculum is the module on Large Language Models (LLMs) and Natural Language Processing (NLP), reflecting the latest advancements in AI and data science.
Locations
Online
CareerFoundry
CareerFoundry has established itself as a premier online career academy, specializing in transforming beginners into skilled data analysts ready for the current job market. Their Data Analytics Program stands out for its rigorous curriculum, hands-on projects, and dual mentorship model, which pairs students with a tutor and an industry-experienced mentor to guide their journey.
With a proven track record of success, more than 90 percent of CareerFoundry grads land a job in their field shortly after graduations. They’re so confident in their programs that they guarantee students will land a job in their new field within six months, or they’ll refund their tuition. With expert mentorship, personalized career coaching, and hands-on training, they provide everything needed to succeed.
Why Study Data Analytics at CareerFoundry?
CareerFoundry’s Data Analytics Program is designed to transform beginners into job-ready data analysts. The curriculum covers essential topics, including Python programming, SQL, statistical analysis, data visualization, and predictive analytics. Students engage in hands-on projects that mirror real-world scenarios, allowing them to build a robust portfolio to showcase to potential employers.
What Students Are Saying
“This experience got me my first job as a data analyst! The mentor and tutor were what made this program what it is, in addition to curriculum that gives you a solid well-rounded foundation in data and a lot of job preparation. The community is also amazing, with so many people on Slack and LinkedIn ready to ask for help and share help along the way. I graduated with a very strong portfolio that was unique, unlike some other schools that give everyone the same project. The other factor for me was the job guarantee, which gave me the courage to take the leap. Never looking back! ”
Silvia Slee, Data Analytics Program
Curriculum
The Data Analytics Program is structured into four comprehensive parts:
- Intro to Data Analytics: Establishes foundational knowledge in data analysis concepts and tools.
- Data Immersion: Delves deeper into data analytics techniques, including data querying, statistical analysis, and data visualization.
- Advanced Specialization Course: Allows students to specialize in areas such as machine learning or data mining, applying advanced techniques to complex datasets.
- Job Preparation: Provides career support, including resume refinement, LinkedIn profile optimization, mock interviews, networking strategies, and application assistance.
Throughout the program, students tackle practical projects that reflect real-world challenges, ensuring they graduate with the skills and confidence needed to excel in the data analytics field.
Locations
Online
Springboard
Springboard transforms online education with a flexible, mentor-led program designed to prepare professionals for in-demand data science careers. With a curriculum built around real-world applications and personalized guidance from industry experts, Springboard ensures students gain the skills and confidence to excel in today’s competitive job market.
Why Study Data Science at Springboard?
Springboard’s Data Science Career Track combines hands-on learning with expert mentorship to create a pathway to success. Students work on industry-inspired projects, build a professional portfolio, and tackle topics ranging from Python programming to advanced machine learning. With part-time scheduling and tailored career support, including one-on-one coaching, resume reviews, and interview prep, this program is designed for busy professionals ready to take the next step.
Their Job Guarantee is designed to help students secure a role in their chosen field within six months of graduation, underscoring Springboard’s commitment to student success. During enrollment, an admissions director reviews the eligibility criteria with applicants, and throughout the program, students receive personalized career coaching and support. If students meet the requirements but don’t land a job, they’ll refund your tuition.
What Students Are Saying
“To sum it all up, this is a great program to enter/transition into the Data Science field. You will get all the necessary tools to succeed in completing the program as well as finding a job. You get an industry expert as your mentor and have weekly meeting with him. You have a career coach to look over your resume, linkedin profile, and motivate you. And last but not least you have amazing counselors who look out for you and make sure you are on track to finishing the course. ”
Suvam Patel , Data Science Career Track
Curriculum
The Springboard Data Science Career Track is a six-month, part-time program with a curriculum designed for immediate application in real-world scenarios. Key learning areas include:
- The Python Data Science Stack: NumPy, Pandas, and Matplotlib
- Machine Learning: Building and evaluating predictive models
- Data Wrangling and Visualization: Cleaning and interpreting large datasets
- Software Engineering for Data Science: Implementing scalable solutions
Students complete hands-on projects and a capstone, showcasing their ability to tackle real-world data problems.
Locations
Online
University of Toronto School of Continuing Studies
As Canada’s largest and most prestigious university, the University of Toronto brings world-class expertise to its School of Continuing Studies, offering innovative programs tailored to professionals and learners eager to advance their careers. Backed by the university’s world-renowned academic excellence, these programs combine flexibility, depth, and a real-world focus to meet the demands of a dynamic industry. Their Data Analytics Bootcamp provides cutting-edge training to give students practical skills needed to thrive in their careers.
Why Study Data Analytics at the University of Toronto SCS?
The Data Analytics Bootcamp is a comprehensive, project-based program designed to prepare students for the challenges of a data-driven world. With a focus on hands-on learning and in-demand tools, this bootcamp enables students to develop analytical skills and gain experience solving practical business problems.
What Students Are Saying
“I am a senior IT professional with over 20 years of experience in enterprise environments. One of the challenges that I faced was the trend of IT digital transformation, emerging and disruptive technologies. As open source tools became more popular and innovative it provided the flexible platform on creating applications and services. As a result, I needed to learn these various software tools. My challenge is that I didn't want to take single courses for each software tool which would be incredibly time intensive. I was really looking for the training that a boot camp environment would provide to allow me to simultaneously learn all these tools. As I was doing my research I came across this program and once I reviewed the syllabus I realized that this is what I needed to give me what I wanted in order to excel my career in this new digital age. I evaluated how the scheduling would impact my current lifestyle and found that the hours and commitment was manageable. This is why I chose this boot camp. I started this program in January 2019 and I was full of excitement! As I knew that once I acquired these skill sets, it would elevate my career. I quickly found that the program was quite intense. In addition, the instructors were extremely knowledgeable. My favourite part of this program is that everything we do is hands-on! We don't learn just from theory but work on things as we go. We did a lot of group projects that mimic real-life business cases, which made the program very relevant. I really enjoyed the facilities and environment of the learning space that we were situated in as students. It was very conducive to group learning--everyone was from diverse employment backgrounds, which made our skills really unique. I truly recommend this program for any senior IT person like myself that are looking for a refresher, skill updates and those who are looking at data analytics. This program provides you that one stop shop and the price is very fair! My advice is to commit the time, attend every class, review the assignments as much as possible, and look for YouTube videos for additional learning on each topic, as this will help a lot! If you put the time, your success would be unparalleled. ”
James Jean-Jacques, Data Analytics Bootcamp
Curriculum
The Data Analytics Bootcamp at U of T SCS covers a wide range of topics to ensure graduates are job-ready:
- Introduction to Python, SQL, and Advanced Excel for data analysis and manipulation.
- Statistical analysis
- JavaScript, HTML/CSS, API interactions
- Tableau
- Machine learning
- Exposure to R programming, Git/GitHub, and other in-demand technologies.
- Hands-on projects involving social media mining, data visualization, and predictive modeling.
The program culminates in a capstone project that allows students apply their skills to solve practical challenges, building a portfolio that showcases their expertise to potential employers.
Locations
Toronto, Ontario; Online
The G. Raymond Chang School of Continuing Education, Toronto Metropolitan University
The G. Raymond Chang School of Continuing Education at Toronto Metropolitan University (formerly Ryerson University) is Canada’s largest continuing education program. Known for its innovative and career-focused curriculum, The Chang School offers industry-aligned instruction and strong ties to Toronto’s business ecosystem.
Why Study Data Science at The Chang School?
The Chang School’s Certificate in Data Analytics, Big Data, and Predictive Analytics is an accelerated program designed to fast-track professionals into the data science domain. The 15-week program combines academic rigor with practical skills in Python, SQL, Hadoop, Spark, and Tableau, preparing graduates for high-demand roles in data analysis and beyond.
For those looking for a flexible format, the program offers online and in-class learning options, complete with access to tutoring and career support services. The curriculum is built to accommodate professionals transitioning into data analytics roles, with a strong focus on practical applications and industry-relevant tools.
What Students Are Saying
“The Chang School’s Certificate in Data Analytics, Big Data, and Predictive Analytics has given me a unique combination of essential, hands-on skills that allows me to excel in this competitive field. I was able to make professional connections through my courses, both with my classmates and my instructors, who are working subject matter experts. The program allowed me to build on my computer science degree and focus on big data tools and applications. I was looking to enter a field I was passionate about and to get a job I loved doing, and the skills and knowledge I gained from this program have been at the core of my career success. ”
Mohammed Karim, Array
Curriculum
The Certificate in Data Analytics, Big Data, and Predictive Analytics is structured to provide a comprehensive education in data tools, methodologies, and applications:
Core topics covered:
- Python programming and data manipulation
- SQL for database querying and management
- Hadoop and Spark for big data processing
- Tableau for advanced data visualization
The program integrates real-world projects, providing students with the opportunity to tackle business challenges and build a portfolio that showcases their skills to employers. Part-time learners can also access additional courses in Python, Tableau, and Hadoop, making this program a flexible and robust choice for professionals.
The 15-week accelerated program is designed for working professionals, offering flexible online and in-class learning options. Students benefit from industry partnerships and connections to Toronto’s thriving tech sector, alongside career support services that include tutoring and professional development resources.
Locations
Toronto