The rise of emerging technologies like artificial intelligence (AI), blockchain, Internet of Things (IoT), and cloud computing has compelled companies across countries to collect more data and hire specialists who can draw insights from it. If we talk particularly about Canada, data science is rising across the country’s business sectors and data experts are sought by finance, education, shipping, and insurance sectors alike.
The Information and Communications Technology Council (ICTC) has predicted that digitally-skilled talent in Canada would reach more than 305,000 by the year 2023. For the next three to five years, the country would focus on the adoption of smart and connected technologies to reshape its industrial sectors. Evidently, there would be an obvious requirement for data-related roles like data scientists, data analysts, and data architects. Looking at this trend, the importance of credentials like data analytics certification would increase and companies would rely on them to find the right candidates.
Though the demand for digital skills is high, Canada is experiencing a shortage of talent, especially for companies that demand specialized roles due to the application of new technologies to traditional industries. There are many reliable training providers that can address this talent and skills gap. Moreover, they offer courses online so that one can access them anywhere and update their skills in a short period of time.
This article particularly focuses on the professionals who are looking for a reputed data analytics program in Canada. As there are many options to choose from, we have tried to make your decision easier by listing the top five data analytics courses that Canadians should take to enhance their career prospects.
5 Best Data Analytics Courses in Canada
The first four courses mentioned below are online courses that can be taken from anywhere while the last one is a university program that is a physical classroom course.
So, let’s dive in!
Post Graduate Program in Data Analytics by Simplilearn
If your priority is to go for an academic university aligned Data Analytics course but one that comes with the benefit of online learning mode, then this PG program is for you. Simplilearn has partnered with the renowned Purdue University and collaborated with technology firm IBM to offer this comprehensive course in data analytics.
- Purdue Post Graduate Program certification and Alumni Association Membership
- IIMJobs Pro Membership for six months
- More than 180 hours of applied learning
- Access to IBM Cloud Lite account
- Covers tools like Tableau, Python, PowerBI, and MS Excel
- 14+ hands-on projects on integrated labs
Skills Covered – Statistical analysis using Excel, data analysis with Python and R, data visualization with Tableau and Power BI, linear and logistic regression, clustering, supervised learning, and more.
Program duration – 8 months with 5 to 10 study hours per week
Analytics: Essential Tools and Methods by edX
Offered by the Georgia Institute of Technology on the edX platform, this Data Analytics course helps professionals learn analytics modeling, computing for data analysis, and data analytics for business. The program was nominated for the 2020 edX prize and has program endorsements from Equifax and Tech Tech Mahindra.
- Expert instruction with 3 graduate-level courses
- Instructor-led training
- Covers assignments and exams
- Certification sharable on job portals like LinkedIn
Skills covered: Analytical tools like R, Python, SQL; Fundamental models and methods of analytics; Build a data analysis pipeline; Apply analytical skills in a business context; Data-intensive computing and visualization techniques.
Program duration – One year with 9 to 12 study hours per week
Become a Data Analyst Nanodegree Program by Udacity
Udacity Data Analytics course is ideal for professionals who wish to learn how to create data-driven solutions by uncovering trends and insights and communicating critical findings. The course content is co-created with Kaggle, and you can access the classroom immediately on enrollment.
- Real-world projects from industry experts
- Technical mentor support
- Flexible learning program
- Project feedback from experienced reviewers
Skills Covered – data analysis with Python and SQL; wrangling, exploring, analyzing, and communicating data; apply inferential statistics to real-life scenarios, build supervised learning models, and explore data visually at multiple levels.
Program duration – 4 months with 10 study hours per week
Advanced Business Analytics Specialization by the University of Colorado Boulder
Available on the Coursera platform, this Data Analytics course helps you gain real-world business analytics skills and learn how to solve complex business problems by leveraging data. You’ll be trained to extract and manipulate data using SQL code, execute statistical methods for data analysis, and effectively present analytic results.
- Covers 5 in-depth Data Analytics courses
- Sharable specialization and course certificates
- Graded assignments with peer feedback
- Applied Learning Project
Skills Covered – data analysis, SQL, regression analysis, predictive modeling, simulation, business analytics, mathematical optimization, data model, and data visualization.
Program duration – 5 months with 3 study hours per week
Diploma in Business Analytics by the University of Calgary
This is a physical classroom program for learners who wish to enhance their analytical skill set to become an expert in supporting data-driven decision making in a business environment. There are certain prerequisites to enter the diploma program and then they will be able to complete the four courses – predictive analytics, decision analytics, introductory data analytics, and advanced data analytics.
Skills Covered – techniques in predictive analytics, support vector machines, clustering, applied optimization, simulation, decision analysis techniques, and data mining.
Program duration – 8 months (40 hours of work per week)
These Data Analytics courses are not mandatory but highly recommended for professionals who wish to learn data analytics from scratch. Whatever provider you choose, visit their website to get more information regarding the programs, decide whether your learning needs align with the course offerings, and then enroll.
Start Your Data Analytics Career Today
Canada’s digital economy is providing employment to millions of professionals in various industrial sectors. The value added by digital transformation is expected to intensify over the next few years and thus data analytics would remain in high demand. So, why not utilize this opportunity to take a data analytics course, learn the in-demand skills, and watch your career flourishing.