Imagine predicting your customers’ next move before they even make it, streamlining your manufacturing with cutting-edge tech like robotics, or discovering cost-saving opportunities in healthcare without compromising patient outcomes. Data analytics isn’t just about crunching numbers—it’s the compass guiding businesses through uncharted markets, transforming raw information into game-changing insights.
As companies invest more in data-driven decision-making, demand for skilled analytics professionals continues to grow. Globally, the data analytics market is projected to reach $132.9 billion by 2026, and the share of job postings requiring analytics skills has risen sharply—by 30 percent since 2020.
Strong demand means that compensation is strong even for entry-level data analytics roles, starting around $70,000, with more experienced analysts earning well into six-figures.
These roles aren’t just about running reports. Employers want analysts who understand statistics, programming, and business context—and can turn messy data into clear, actionable insights.
That’s where training matters. Today’s best data analytics certificates blend core technical skills—like SQL, R, Python and visualization—with real-world business applications. Short courses help you strengthen specific skills quickly, while more comprehensive programs cover business analytics, big data tools, and project-based problem-solving that employers value.
CourseCompare’s rankings draw on student feedback, employer demand, curriculum quality, and graduate outcomes to spotlight the certifications that prepare you to stand out in this competitive field.
Here are the best data analytics certification programs of 2026.
CourseCompare’s annual school rankings are determined using a process that considers several core metrics and principles. Read more about our methodology here.
BrainStation
BrainStation is recognized globally for its innovative approach to tech education, helping over 50,000 learners develop the skills needed to succeed in an increasingly digital economy. With campuses in Toronto, Vancouver, New York, and London, UK, along with an advanced online learning platform, BrainStation provides accessible, career-focused training.
Why Study Data Analytics at BrainStation?
BrainStation programs are developed with direct input from leading employers like Amazon, Meta, and Microsoft. These collaborations ensure the curriculum aligns with current industry standards and provides students with the skills top tech companies seek. Graduates earn globally recognized certification credentials, while gaining practical experience in live courses led by industry experts.
What Students Are Saying
Katerina, Data Analytics Course“When I started this 8-week course, I was a bit nervous because I didn't have a lot of experience in data analysis. However, the program was incredibly well-structured and accessible, making it easier than I expected to grasp the concepts and tools we used. One of the best parts of the course was the diverse group of fellow students. Everyone brought different backgrounds and experiences to the table, which made discussions lively and gave me a broader perspective on how data analytics can be applied in various fields. We covered all the essential tools and techniques, from Excel and SQL to Tableau and Python. The instructors, Josefina Oria from Airbnb and Leo Leoni from Spotify, were fantastic. Their industry insights and teaching styles made complex topics understandable and engaging. I’m really grateful to BrainStation for this opportunity. It has not only boosted my confidence but also equipped me with practical skills that I'm eager to apply in real-world projects. Here's to new challenges and continued learning! ”
Certificate Programs
BrainStation’s Data Analyst Certification (DAC™) is a part-time 8 week program designed for anyone interested in developing data skills and learning to analyze and interpret data, regardless of background. The course blends real-world applications with hands-on training in advanced Excel functions, pivot tables, SQL, and Tableau.
Students can choose to study at BrainStation’s new sprawling Toronto campus, the Vancouver campus, or entirely online through the Synapse learning platform. Each option offers access to workshops, tech panels, and community events, creating a dynamic environment for aspiring data professionals.
Locations
Online, Toronto, Vancouver, New York, London
The G. Raymond Chang School of Continuing Education, Toronto Metropolitan University
The G. Raymond Chang School of Continuing Education at Toronto Metropolitan University is Canada’s largest continuing education program, with approximately 70,000 enrolments each year. It is committed to providing superior, innovative programming, teaching by industry experts, and fostering strong connections through industry partnerships.
Why Study Data Analytics at The Chang School?
The Chang School combines degree-accredited courses with industry-standard tools and personalized support. Students gain access to Big Data Analytics Computer Labs, receive in-class coaching, and have access to remote after-class tutoring services. The curriculum is regularly updated in collaboration with employers to ensure students acquire the most relevant and in-demand skills.
What Students Are Saying
Mohammed Karim, Array“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. ”
Certificate Programs
The Data Analytics, Big Data, and Predictive Analytics certificate is a fully online program designed to help learners build strong technical and analytical skills for high-responsibility data roles. The program consists of six courses and can be completed in 8 months to 1.5 years, with the option to progress more quickly depending on course availability and load.
Students work with tools such as SQL, Python, Power BI, Tableau, and Excel, and gain experience with predictive analytics, machine learning techniques, data visualization, and data-driven storytelling. The curriculum includes a real-world capstone project, giving students the opportunity to apply analytical methods, model-building skills, and responsible AI practices to a practical business challenge.
This certificate meets the educational requirements for the INFORMS Certified Analytics Professional (CAP®) designation, providing a pathway for students who want an industry-recognized credential in analytics.
Additional analytics-related options include the People Analytics for HR Professionals Certificate and the Business Decision Analysis Certificate, both of which focus on data-informed decision-making within organizational and management contexts.
All certificates offer online delivery, with some courses also available in-person depending on the term.
Locations
Online, Toronto
McGill School of Continuing Studies
McGill University’s School of Continuing Studies (SCS) is renowned for its international reputation, offering a high standard of education. Known for quickly adapting to the demands of the digital age, McGill SCS has effectively transitioned to virtual learning across a wide array of in-demand disciplines.
Why Study Data Analytics at McGill’s School of Continuing Studies?
At McGill, students learn from world-class instructors who bring a wealth of classroom and industry experience, ensuring that the curriculum is relevant, rigorous, and aligned with the latest industry trends. The school’s commitment to flexible, virtual education ensures that professionals can advance their skills while balancing their careers. McGill’s data analytics programs are designed to provide learners with the practical, in-demand skills they need to tackle real-world challenges using data-driven insights.
What Students Are Saying
Sam Gallati, Professional Development Certificate in Data Analytics for Business“The McGill Professional Development Certificate in Data Analytics for Business program was exactly what I needed to step up my career in the banking industry. The skills and expertise, but also the confidence, I now have to make data-driven decisions and manage my team has been invaluable. Learning about machine learning was also eye-opening, even if I don't use ML everyday on the job. ”
Certificate Programs
McGill’s School of Continuing Studies offers several analytics-focused programs designed for working professionals who want practical, applied training supported by structured online delivery.
The Professional Development Certificate in Data Analytics for Business provides training in business intelligence, data-driven decision-making, and the practical use of analytics across organizational functions. Learners develop the analytical mindset needed to translate data into business decisions, and the program emphasizes leadership skills for structuring and guiding analytics teams. It consists of five courses, delivered online in weekday evening formats.
The Graduate Certificate in Data Analysis for Complex Systems is designed for non-technical professionals who want to understand and analyze complex systems in fields such as financial technology, organizational management, and digital marketing. The program introduces the fundamentals of modeling and simulating real-world systems, gathering and processing data, and using computational tools to represent patterns and interactions. Students attend live online evening classes and complete five courses totaling 15 credits.
McGill SCS also offers shorter analytics-related workshops, including Exploratory Data Analysis with Alteryx and Introduction to Business Analytics using Excel, which provide targeted, hands-on practice with tools used across data and business environments.
All programs are delivered online with predictable evening schedules, allowing professionals to upskill while balancing work. Graduates receive McGill University certificates recognized across a wide range of industries.
Locations
Online, Montreal
University of Toronto
The University of Toronto offers several data-focused certificate programs through the School of Continuing Studies (SCS) and the Data Sciences Institute (DSI). The DSI serves as the university’s central platform for applied data science training and workforce development, offering micro-credentials and certificates that build practical skills in analytics, artificial intelligence, and computational methods.
Why Study Data Analytics at the University of Toronto?
Across U of T SCS and the DSI, learners can access university-level data analytics education with in-person and fully online options. Programs focus on practical, industry-aligned training that covers statistical analysis, machine learning, data wrangling, big data tools, and applied analytics techniques suitable for a wide range of professional roles.
DSI programs draw on U of T’s academic expertise and emphasize applied, skills-based training tailored for working professionals. Learners gain access to instructors who work in data analytics, machine learning, artificial intelligence, and applied statistics across the University of Toronto community.
What Students Are Saying
Bart Khatri, Array“Overall, the courses helped me develop the skills needed to manage analytics in a corporate environment. The program is recognized by the Project Management Institute (PMI) and it includes three courses: Managing Predictive Analytics & Big Data, Maximizing Value for Predictive Analytics and Big Data, and Advanced Management of Data Analytics. My only feedback for UofT is that there should be a faster way to finish the courses. Ryerson has a fast track program and York is introducing one. I was in the middle of a career transition but had to wait an entire semester for one of the courses to become available. There might be better certificates out there for you if your main goal is learn quickly and apply lessons in a new job. ”
Certificate Programs
The University of Toronto offers data analytics–related certificates through two main institutional areas:
School of Continuing Studies (SCS)
The Data Science certificate provides training in data wrangling, statistical analysis, machine learning, and data management. Students work with Python, SQL, and machine learning frameworks. The curriculum has been structured around core analytics competencies, including domains outlined in the INFORMS Certified Analytics Professional framework. SCS provides online delivery through a partnership with WatSPEED and also schedules in-class sections for some courses when available.
SCS also offers micro-credentials and short, stackable courses in related digital and data skills that support professional upskilling.
Data Sciences Institute (DSI)
The DSI offers professional certificates and micro-credentials focused on applied analytics, machine learning, and AI. Programs include the Data Science Certificate, the Machine Learning Software Foundations Certificate, the Data Analytics for Business micro-credential, and the Generative AI Toolbox. These short, skills-focused programs are designed for learners seeking practical, job-ready training in modern analytics tools and workflows.
DSI certificates are delivered primarily as online, instructor-led programs, with some hybrid opportunities for networking and optional in-person activities.
Locations
Online, Toronto
York University School of Continuing Studies
York University is Canada’s third-largest university and home to over 52,000 students, 7,000 faculty and staff, and 295,000 alumni globally. The School of Continuing Studies at York is designed to provide lifelong learning opportunities that are anything but typical. With flexible, fast-track programs tailored to busy professionals, students gain real-world skills that top employers demand. Offering a unique cohort-based approach, York’s continuing education experience goes beyond the ordinary with shorter completion times, adaptable study formats, and practical opportunities that drive career success.
Why Study Data Analytics at York University?
York’s School of Continuing Studies offers professional certificates that help learners build practical skills in data analytics and related fields. Among these are two core data analytics credentials designed for part-time learners: the Certificate in Big Data Analytics and the Certificate in Advanced Data Science and Predictive Analytics (which can be bundled together). Each of these continuing studies certificates can be completed in about six months in a blended part-time format that combines independent online learning with scheduled live online classes.
What Students Are Saying
Torvolds, Array“I took the certificate in big data analytics and the follow-on certificate in predictive analytics. I worked in finance for a telecommunications company and studied statistics in university. Honestly, I thought the first certificate was a bit basic for me, but the second allowed me to hit my stride and experiment with new tools and interesting business cases. If you want to jump straight into Predictive Analytics, you can do so by demonstrating equivalent work experience. York introduced me to valued mentors and, at the end of it all, helped me switch into a great role at a new tech firm. ”
Certificate Programs
Start with the Certificate in Big Data Analytics to build foundational skills in data analytics. This part-time continuing studies certificate covers core analytics topics and tools, including data acquisition, Python, SQL, R, NoSQL databases, and introductory big data platforms. It prepares learners for entry-level analytics work and analytics thinking in business contexts. Completion typically takes about six months.
The Certificate in Advanced Data Science and Predictive Analytics builds on foundational knowledge and focuses on advanced analytics methods, predictive modelling, and a capstone project. Learners must complete the Certificate in Big Data Analytics or demonstrate equivalent education/work experience before starting. Completion typically takes about six months.
They also offer a Certificate in Digital Marketing Analytics, blending analytics with marketing strategy. It teaches learners how to apply data analysis within marketing contexts, including customer insights, campaign measurement, and marketing data tools.
Locations
Online, Toronto
British Columbia Institute of Technology (BCIT)
BCIT is a leading public polytechnic institute known for its focus on applied, hands-on education. With five campuses across Metro Vancouver and additional specialized training sites, the institute offers flexible learning through full-time, part-time, and online formats. BCIT delivers more than 300 programs, ranging from certificates and microcredentials to bachelor’s and master’s degrees. Many programs are developed in collaboration with industry partners so learners gain practical skills aligned with employer needs.
Why Study Data Analytics at BCIT?
BCIT offers two distinct data analytics programs designed for different stages of a learner’s career. Each program reflects BCIT’s applied-education model, emphasizing hands-on learning, industry tools, and practical skills that transfer directly to the workplace.
What Students Are Saying
Krish, Applied analytics certificate“Practical, job-focused skills designed to get you a job in the field faster. That's what BCIT promises and that's what I got when I enrolled in the analytics program. ”
Certificate Programs
The Applied Data Analytics Certificate (ADAC) is a flexible part-time program completed on a course-by-course basis. This program provides a practical introduction to the data analytics lifecycle and prepares graduates to support data-driven decision-making across industries. Most learners finish in 3 to 5 years, depending on course availability and individual pacing. Courses run across BCIT’s Fall (September to December), Winter (January to April), and Spring/Summer (May to August) terms.
The curriculum covers foundational analytics skills, including relational databases, SQL, Excel, Python, statistics, data modeling, data visualization, and business intelligence tools. Students also develop supporting competencies in business analysis, data quality, and introductory IT security, preparing them for hands-on work in data analytics environments.
The Graduate Certificate in Business Analytics is a full-time, 10-month program designed for learners with a bachelor’s degree and strong quantitative aptitude. The program explores data management, data visualization, predictive analytics, machine learning, and business communication. Students complete an applied capstone project that integrates these skills to solve real-world business analytics challenges.
Locations
Online, Burnaby, Vancouver
Springboard
Springboard offers flexible online bootcamps and skills-based courses in data analytics, data science, machine learning, and related fields. Unlike universities and colleges that issue formal academic certificates, Springboard delivers mentor-guided training programs focused on practical skill development rather than accredited credentials. Its part-time programs are designed for working professionals and combine project-based learning with one-on-one mentorship from industry practitioners, helping learners build job-ready portfolios.
One of Springboard’s distinguishing features is its Job Guarantee, available for select career-track programs. Graduates who complete all coursework, meet Springboard’s job-search requirements, and actively participate in career support may qualify for a full tuition refund if they do not secure a qualifying full-time job within six months of completing the program.
Why Study Data Analytics at Springboard?
Springboard’s curriculum emphasizes project-based learning, giving students the opportunity to complete real-world analytics projects that can be included in a professional portfolio. Students receive a Springboard Certificate of Completion when they finish a career track. While this credential is not the same as an accredited certificate, it is designed to demonstrate hands-on experience with employer-relevant tools and workflows in tech roles.
A core feature of Springboard’s model is one-on-one mentorship from industry practitioners, which helps learners deepen their technical understanding and stay accountable throughout the program. Graduates also receive structured career support, including guidance on resumes, interview preparation, and job search strategies.
To help make tech education more accessible, Springboard offers flexible payment plans, deferred tuition options, and scholarships for eligible learners.
What Students Are Saying
Laura Cruz, Data Analytics Career Track“Although I was a little hesitant at the beginning because I wanted to take a course with a renowned University, Springboard gave me the flexibility of working at any time, which I needed, cause I could not commit to night time classes. They also had both Tableau and Power BI in their curriculum which usually for other programs is just one of them, and the thing that I liked the most was the 1 on 1 mentor training, besides unlimited mentoring from very smart people who actually work in the industry. The course is very organized, it has great content, projects give you a lot of knowledge, and I feel from the point I started, until now, I've learnt so much and I will be able to put all that knowledge into practice. And you also get the job career help from very knowledgeable people who really care about your job search and want you to obtain the best job. I definitely recommend Springboard for anyone looking to learn the Data Analytics Track! ”
Certificate Programs
Springboard’s Foundations to Core Data Analytics is a beginner-friendly bootcamp that combines foundational analytics instruction with mentor support and structured project work. Learners start with core concepts such as spreadsheets, SQL basics, and introductory analytics workflows, then progress into the main analytics curriculum. The program includes one-on-one mentorship, career support, and eligibility for Springboard’s Job Guarantee for students who meet all requirements.
The Data Analytics Bootcamp (a partnership with Microsoft) is Springboard’s primary analytics program, designed to be completed online in about six months at a part-time pace. The curriculum covers Python, SQL, and data visualization tools, along with more than 30 guided mini-projects and two capstone projects using real-world datasets. Students build a professional portfolio and receive personalized career coaching. For eligible learners who complete all requirements and meet job-search criteria, the Career Track includes Springboard’s Job Guarantee, offering a tuition refund if they do not secure a qualifying full-time role within six months of graduation.
Locations
Online
Simon Fraser University Continuing Studies
Simon Fraser University’s (SFU) Continuing Studies, established in 1971, offers flexible education for personal and professional development. With hundreds of non-credit courses and over two dozen programs, SFU Continuing Studies helps individuals achieve career goals, build sustainable communities, and find personal enrichment. Classes are designed to fit busy schedules, with most held online or during evenings and weekends at the Vancouver and Surrey campuses.
Why Study Data Analytics at SFU Continuing Studies?
SFU gives learners access to university-level analytics education in formats that support working professionals. Depending on the program, students can study online, in hybrid formats, or on campus. Instruction is delivered by faculty and industry practitioners who ground the material in real analytic practice and decision-making. Learners in for-credit programs through the Beedie School of Business also gain SFU alumni status, which provides access to professional networks and ongoing learning opportunities.
Certificate Programs
The Applied AI in Data Analytics microcredential offered through SFU DIAL, the university’s digital innovation and upskilling initiative, focuses on practical applications of AI and analytics in today’s workplace.
This microcredential trains learners to integrate AI into real analytics workflows without heavy coding. Students explore how and when to apply AI tools across data preparation, exploration, modeling, and communication of insights. The program emphasizes accessible no-code or low-code AI tools, practical automation of data tasks, and translating results into actionable recommendations for stakeholders. Modules cover foundations of AI in analytics, AI-assisted data cleaning and transformation, pattern detection and exploratory analysis with AI support, model building and deployment using no-code/low-code tools, and communicating insights to support decision-making.
Locations
Online
University of Calgary
The University of Calgary, founded in 1966, is a comprehensive research university with more than 33,000 learners across five campuses. Through its Continuing Education division, the university offers a wide range of data- and analytics-focused programs designed for working professionals. These options range from introductory skills training to more advanced certificates in business intelligence, data science, and applied analytics, allowing learners to select the pathway that aligns with their background and career goals.
Why Study Data Analytics at the University of Calgary?
The University of Calgary Continuing Education offers a dynamic learning experience tailored to the needs of working professionals. The curriculum integrates real-world tools and techniques, focusing on the practical application of business intelligence and analytics to solve real-world problems. Courses are regularly updated to reflect current industry trends, ensuring that students gain the most relevant and in-demand skills. Flexible learning options make it easy to balance education with professional and personal commitments.
Certificate Programs
The Business Intelligence and Analytics certificate provides applied training in the core technologies and methods used to turn organizational data into usable insight. Students learn how to query and manipulate data, build data models, and design dashboards and reports using tools such as SQL and Microsoft Power BI. Coursework covers the fundamentals of business intelligence systems, data warehouses, and data architecture, along with visualization techniques for communicating analytical findings to decision-makers. Learners also develop foundational skills in predictive analytics and learn how BI tools support strategic and operational analysis across sectors.
With the Graduate Certificate in Fundamental Data Science and Analytics, students gain the necessary knowledge base and useful skills to manage large data sets and present real-world data analytics challenges with the use of statistical modelling and data visualization tools. The program also includes a unique experiential learning component, offering hands-on experience with data from the industry made available through UCalgary’s network of company contacts. This learning experience plays a critical role in knowledge construction and understanding the crucial role of data within organizations.
Locations
Online, Calgary
George Brown Polytechnic
Located downtown Toronto, George Brown offers students a unique opportunity to gain hands-on, real-world experience through its industry-focused programs. With a faculty comprised of professionals with current industry experience, students receive up-to-date knowledge that directly reflects the demands of the job market.
Why Study Data Analytics at George Brown College?
George Brown College offers a broad range of data and analytics programs designed to align with evolving industry expectations. These programs help learners build practical skills in areas such as business intelligence, digital analytics, data engineering, and applied data science, supporting career growth across multiple data-driven roles.
Certificate Programs
George Brown’s Data Analytics program provides foundational knowledge essential for pursuing the Certified Analytics Professional (CAP) certification. The curriculum includes courses in business intelligence (BI), big data analytics, SQL, and data visualization, utilizing tools such as Tableau, Microsoft SQL Server, and Microsoft Power BI.
The Digital Analytics program is ideal for individuals involved in digital analysis, data mining, web analytics, and data visualization, as well as those in marketing, website development, search engine optimization, social media metrics, and digital advertising.
Other relevant certificates include Analytics for Business Design Making (preparing students to do data analysis specific to multi-faceted business decision making needs), Applied Data Science (covering data manipulation, visualization, applied analytics, and basic ML/AI integration in real scenarios), and AI and Business Development (focuses on data-driven decision-making through AI concepts and large language models).
Locations
Online, Toronto
UBC Extended Learning
UBC Extended Learning delivers continuing education grounded in the university’s research and teaching expertise. Its programs support working professionals who want practical skills that apply directly to their sectors, with several offerings that focus on analytics within specific professional contexts.
Why Study Data Analytics at UBC Extended Learning?
UBC doesn’t offer a traditional, broad data analytics certificate. Instead, its analytics training appears in specialized micro-credentials designed for fields where data literacy and interpretation are becoming essential. This approach makes the school an option for professionals who need analytics skills tailored to health care, environmental management, and other applied areas rather than a general analytics foundation.
Certificate Programs
The Key Capabilities in Data Science Certificate provides foundational skills in data wrangling, statistical reasoning, and analytical interpretation. Although broader than a pure analytics credential, the program gives learners baseline competencies in working with data across sectors. It complements the micro-credentials above for students who need a grounding in data foundations before moving into domain-specific analytics.
UBC Extended Learning also offers a selection of more specific programs that equips professionals with specialized analytics skills tailored to their industries. Health Data Analytics: Opportunities and Applications develops data cleansing, visualization, and machine learning expertise for healthcare contexts, while Health Data and Visualization explores real-time clinical data challenges, data warehousing, and effective visualization techniques. Analytics for Leaders in Ocean Management builds ocean data analytics capabilities to address challenges in the blue economy.
UBC’s Extended Learning programs are designed to equip professionals with the skills necessary to navigate and excel in the data-driven landscape of their respective fields.
Locations
Online
McMaster University Continuing Education
McMaster Continuing Education offers established professional programs that support learners developing technical, analytical, and digital skills. Its data analytics stream provides flexible online study options built around applied learning and industry alignment.
Why Study Data Analytics at McMaster Continuing Education?
McMaster offers two structured pathways that let learners tailor the depth of their analytics training. Courses are delivered online or in virtual classroom formats, which works well for professionals balancing work and study. Instructors bring current industry experience, and the curriculum covers the core analytics toolkit: statistical analysis, data handling, visualization, predictive techniques, and applied machine learning concepts. Learners choose the credential that fits their goals, either a full certificate or a shorter professional learning option.
Certificate Programs
The Data Analytics certificate consists of 15 academic units completed through elective coursework, with up to three years allowed for completion. Learners build applied skills across statistical analysis, data preparation, visualization, database handling, and introductory machine learning concepts. Courses follow a Bring Your Own Device (BYOD) structure, and most require working knowledge of Microsoft Excel. Students may request permission to count OSI 101 and OSI 102 (Open Source Intelligence) toward the elective requirements.
The Certificate of Professional Learning in Data Analytics is a streamlined option requiring 9 academic units, also completed within three years. It focuses on core analytics capabilities such as data handling, foundational statistical methods, and practical visualization techniques used in business and technical settings. The program shares the same BYOD expectations and Excel proficiency guidelines as the full certificate. Learners may request approval to apply OSI 101 and OSI 102 to this credential as well.
Additional optional training in Python, SQL, and more is available through McMaster’s Ed2Go partnership for learners who want to extend their technical toolkit.
Locations
Online
Humber Polytechnic
Humber Polytechnic is a leading institution known for preparing students with the practical skills and knowledge required to succeed in today’s competitive job market. Its analytics programming lives in the Longo Faculty of Business and is structured to give learners hands-on experience with the tools and workflows used across business analytics roles.
Why Study Data Analytics at Humber?
Humber leans heavily on experiential learning, so students spend a lot of time working with live datasets, applied projects, and tools used by employers. Humber also partners with NorQuest College on a Digital Information Careers certificate that equips learners with data analytics and business intelligence skills, including data handling, visualization, and workplace experience, and is rooted in earlier accessibility-focused initiatives.
Certificate Programs
The Data Analytics Graduate Certificate program develops the technical and applied skills needed to work across the analytics lifecycle. Learners work with statistical methods, data modelling, database tools, dashboarding and visualization platforms, forecasting techniques, and introductory machine learning workflows. Projects use real datasets, giving students experience in cleaning, structuring, analyzing, and interpreting data for business decision-making. Graduates are prepared for analyst roles in marketing, operations, finance, business intelligence, and related fields.
The Business Insights and Analytics Graduate Certificate focuses on leveraging data to support strategic decision-making in business environments. Students study analytical methods, visualization practices, database fundamentals, and performance measurement tools used to evaluate business problems. Coursework emphasizes interpreting data for non-technical audiences, building dashboards, and generating insights for planning, operations, and customer strategy. It complements the Data Analytics Graduate Certificate for learners who want an applied analytics credential with a stronger business orientation.
Locations
Online, Toronto
Athabasca University
Athabasca University is Canada’s open, fully online university, offering flexible pathways for learners balancing work, family, and education. With students across Canada and internationally, AU designs its programs for accessibility, self-paced progress, and academic mobility between certificates and graduate degrees.
Why Study Data Analytics at Athabasca?
AU’s fully online model lets learners complete graduate-level analytics training without disrupting work or personal obligations. Courses are asynchronous, so students can progress at a pace that fits their schedule. The program is accessible to learners returning to study, shifting careers, or living in regions where in-person graduate education isn’t practical. Because the certificate shares courses with the Master of Science in Information Systems, students benefit from a graduate learning environment that draws on technical and applied perspectives.
The Graduate Certificate in Data Analytics is structured to support academic progression. Learners who complete the certificate may apply the earned credits toward Athabasca’s Master of Science in Information Systems (MSc IS) if they are later admitted to the degree. This creates a flexible pathway where students can begin with a short graduate credential, assess their fit for further study, and continue toward a full master’s program without repeating coursework.
Certificate Programs
The Graduate Certificate in Data Analytics is a 12-credit online program that develops core skills in data analysis, data management, and analytical problem-solving. The curriculum emphasizes team-based work on real-world analytical challenges and covers communication, collaboration, integrative thinking, object structure and programming, data mining, and learning and knowledge analytics. Courses are shared with the MSc IS program, creating a multidisciplinary graduate learning environment. The certificate prepares professionals to work with data across business and technical contexts or continue into further graduate study at AU.
Locations
Online
Sheridan College
Founded in 1967, Sheridan has grown from a local college of 400 students to one of Ontario’s leading postsecondary institutions, educating approximately 40,000 students every year across three campuses: Oakville, Brampton and Mississauga. Sheridan is nationally and internationally recognized for excellence in business, digital media and communications, performing arts, visual arts and design, applied computing and engineering sciences, and community service studies.
Why Study Data Analytics at Sheridan?
Sheridan’s analytics training is designed for learners who want a practical introduction to the field without committing to a full certificate or graduate program. Courses are delivered online or through virtual classrooms, giving learners control over scheduling while they build technical competency.
Certificate Programs
Sheridan’s Data Analyst Micro-Credential introduces learners to foundational data analytics and visualization skills used across business and technical environments. The curriculum covers data analysis, exploratory techniques, predictive approaches, and the fundamentals of visual communication. Learners work with core tools such as SQL, R, Python, and Tableau and gain experience preparing, analyzing, and presenting datasets for decision-making. The focus is on applied practice, helping students develop problem-solving skills they can bring into entry-level analytics or data-informed roles.
Courses are offered online (asynchronous), through virtual synchronous classes, and on campus, giving learners flexibility in how they complete the credential. Graduates earn a Sheridan Micro-Credential recognizing their applied analytics and visualization skills.
Locations
Online
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