Check out our list of the Best Online Data Analytics Courses.

Top Data Analytics Courses in Canada

1. IIM SKILLS

In the list of the leading ed-tech companies in the world, IIM SKILLS ranks at the top. They offer a wide range of courses in skill development and finance. When we talk about the top data analytics courses in Canada, IIM SKILLS is one of the most recommended and preferred institutes.

IIM SKILLS Data Analytics Course Details

Course	Duration	Fees
Data Analytics Master Course	Self Paced	CAD 482.09
Data Analytics Job Assist Program	6 Months	CAD 966.14
Data Analytics Job Guarantee Program	6 Months	CAD 2902.27

Their Course Curriculum Covers the Below Modules:

Module 1: Basic and Advance Excel	Introduction to Data Handling
	Data Manipulation Using Functions
	Data Analysis and Reporting
	Data Visualization in Excel
	Overview of Dashboards
Module 2: Visual Basic Application	Introducing VBA
	How VBA Works with Excel
	Key Components of Programming Language
	Programming Constructs in VBA
	Functions & Procedures in VBA
	Objects & Memory Management in VBA
	Error Handling
	Controlling Accessibility of Your Code
	Communicating with Your Users
Module 3: SQL	Basics RDBMS Concepts
	Utilizing the Object Explorer
	Data Based Objects Creation (DDL Commands)
	Data Manipulation (DML Commands)
	Accessing Data from Multiple Tables Using SELECT
	Optimizing Your Work
Module 3.1: SQL Server Reporting Services	Basics of SSRS
	Creating Parameters
	Understanding Visualization
	Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services	Understanding Basics of SSIS
	Understanding Packages
	Creating Packages to Integrate
	Creating Project Using SSIS
Module 4: Power BI	Introduction
	Data Preparation and Modeling
	Data Analysis Expressions (DAX)
	Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python	Introduction to Basic Statistics
	Introduction to Mathematical Foundations
	Introduction to Analytics & Data Science
	Python Essentials (Core)
	Operations with NumPy (Numerical Python)
	Overview of Pandas
	Cleansing Data with Python
	Data Analysis Using Python
	Data Visualization with Python
	Statistical Methods & Hypothesis Testing
Module 6: Tableau	Getting Started
	Data Handling & Summaries
	Reports Development (Visuals in Tableau)
Module 7: R For Data Science	Data Importing/Exporting
	Data Manipulation
	Data Analysis
	Using R with Databases
	Data Visualization with R
	Introduction to Statistics
	Linear Regression: Solving Regression Problems
Module 8: Alteryx	Overview of the Alteryx Course and Fundamental Concepts
	Using the Select Tool to Rename Fields, Change the Data Type
	Understanding the User Environment and Alteryx Settings
	Filtering Data/Data Processing
	Blending/Joining Data from Different Sources
	Data Cleansing
	Impute Values
	Random Sample

 

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Tools Covered:

• R
• Python
• Tableau
• SQL
• Excel
• Alteryx
• Power BI

 

Media Partners 

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Why IIM SKILL Is the Leading Ed-tech Company:

• They are globally recognized, and all the courses are certified government-authorized courses.
• The mentors are industry experts with years of experience.
• The course offers comprehensive practical training.
• Free demo sessions before you enroll for the course.
• 24*7 support & career building guidance
• Offers free lifelong access to their learning materials.
• Shares live video recordings of every online training session.
• Offers flexibility in learning and scheduling.
• 100% money back after 1st class, if the student is not satisfied.
• Provides a discount of 10% for group registration.

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Contact: +919580740740, info@iimskills.com

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Check out our list of the Best Data Analytics Courses in Australia 

2. Georgian College 

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Their program in big data and business intelligenceproviodes knowledge on data visualization. Data analytics helps to predict trends and understand the stakeholder’s requirements. With the help of the program, you will be able to have theoretical along with practical knowledge to apply all types of analytical skills as per requirements.

One most important things is that after joining their course you will become adept at solving any type of challenge through practical training. Their programs are continuously upgraded to incorporate the latest information. It is regarded as one of the top data analytics courses in Canada. 

Course Insights 

• Data manipulation techniques. 
• Information encoding standards. 
• Data systems architecture. 
• Business progress and modeling. 
• Data programming. 
• Mathematics for data analytics. 

Note

12 months, of course, will help you get the Ontario college graduation certificate. You will be getting full-time and part-time programs to join. 

Required Details for Laptop

• You need to have pc or mac book to have a better experience. 
• 16 GB memory will be good but 32 GB will be preferred. 
• 500 GB hard drive is required but SSD is recommended.
• If your laptop or pc has an Intel i7 processor can be good or if it is AMD equivalent. 

Course Fees

You have to talk with the registration department to understand admission-related details. 

Enquire Now

We have carefully curated the list of the Best Data Analytics Courses in Nigeria to help you choose the most suitable course.

3. St. Clair College

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Their data analytics course always will be helpful to you in understanding the past and creating a link to the future. You will be learning a lot about the future patterns that can be required now to create business-related decisions. You will be able to think in a critical manner that helps you to demonstrate and solve any types of business-related problems.

There are various types of career opportunities awaiting you. You will be able to take the chance to become a data analyst or business analyst or related profiles. You can select any career option after enrolling in data analytics courses in Canada.

Course Insights

Semester 1

• Introduction to data analytics (Credits points will be 3)
• Basic statistics and exploratory data analysis (Credits points will be 5)
• Introduction to artificial intelligence (Credits points will be 3)
• Information management (Credits points will be 3)
• Analytic tools and decision making (Credits points will be 5)

Semester 2

• Machine learning, I (Credits points will be 5)
• Data visualization and reporting (Credits points will be 4)
• Advanced statistics for data analytics (Credits points will be 5)
• Its service management (Credits points will be 3)
• Business analytics and decision making (Credits points will be 4)

Semester 3

• Machine learning II (Credits points will be 5)
• Project management analytics (Credits points will be 4)
• Ethics for analytics (Credits points will be 2)
• Marketing analytics (Credits points will be 5)
• Capstone project I (Credits points will be 4)

Semester 4

• Supply chain analytics (Credits points will be 5)
• Financial analytics (Credits points will be 5)
• Capstone project II (Credits points will be 5)
• Healthcare analytics (Credits points will be 5)

Required Details for Laptop

• You need to have pc or mac book to have a better experience. 
• 16 GB memory will be good, but 32 GB will be preferred. 
•  TB hard disk drive is a must.
• A wireless network card and ethernet network card are required. 
• One USB 3.0 port is alright but two are recommended. 
• If your laptop or pc has an Intel i7 processor can be good or if it is AMD equivalent. 
• Windows 10 professional edition is required. 
• 3 years of comprehensive parts and labour is recommended.

Course Fees

You have to talk with the registration department to know more about tuition fees and textbook prices.

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Here is your list of the Best Data Analytics Courses in New Zealand

4. Durham College 

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This institute mostly provides data analytics for business decision-making courses. After completion of the course, you will get an Ontario college certificate that might be helpful for your future development. Enrolling in this data analytics course will give you a good insight into the data management system, data science, and other in-demand skill sets. Even if you are staying in any part of the world, you can fix an appointment to enquire about data analytics courses in Canada at Durham College. 

Course Insights 

Semester 1

• Introduction to data analysis. (Code – DATA 1200)
• Data collection and data management. (Code – DATA 1201)
• Data analysis tools for analytics data. (Code – DATA 1202)
• Business analysis and assessments 1. (Code – DATA 1203)
• Statistical predictive modeling for analytics I. (Code – DATA 1204)
• Visualizations, business communication, and leadership I. (Code – DATA 1205)

Semester 2

• Ethical leadership & critical decision-making process. (Code – DATA 2202)
• Data analysis and assessment II. (Code – DATA 2203)
• Statistical and predictive modeling for analytics II. (Code – DATA 2204)
• Business communication, visualizations, and leadership II. (Code – DATA 2205)
• Capstone. (Code – DATA 2206)
• Project management for analytics. (Code – DATA 2207)

Required Details for Laptop

• You need to have pc or mac book to have a better experience. 
• 16 GB memory will be good, but 32 GB will be preferred. 
•  TB hard disk drive is a must.
• A wireless network card and ethernet network card are required. 
• One USB 3.0 port is alright but two are recommended. 
• If your laptop or pc has an Intel i7 processor can be good or if it is AMD equivalent. 
• Windows 10 professional edition is required. 
• A microphone and webcam are musts.

Course Fees

For Canadian Students (Year 1, Season -Fall)

Semester 1

$ 2217.8

Semester 2

$ 1921.64

For Canadian Students (Year 1, Season -Winter)

Semester 1

$ 2166.6

Semester 2

$ 1908.95

For Canadian Students (Year 1, Season -Spring)

Semester 1

$ 2193.09

Semester 2

$ 2092.52

For International Students (Year 1, Season -Fall)

Semester 1

$ 8447.13

Semester 2

$ 7653.59

For International Students (Year 1, Season -Winter)

Semester 1

$ 8063.6

Semester 2

$ 7473.95

For International Students (Year 1, Season – Spring)

Semester 1

$ 7906.52

Semester 2

$ 8256.09

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Check out our list of the Best Data Analytics Courses in Ghana here. 

5. Conestoga College 

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This college offers all types of business-related analytics skills that are helpful for the future company you will be working for. They give you a chance to explore the world of data analysis. It might help you to understand the types of analysis skills to implement and give you knowledge on all types of risks associated with it.

Moreover, you will be able to focus on summarising data structure to communicate with stakeholders and able to generate good outcomes. If you are from Canada or an international student who is still looking for data analytics courses in Canada this course will be beneficial for you. 

Course Insights 

Level 1

• Conestoga 101. (Code – CON0101)
• Data analytics. (Code – INFO8065)
• SQL and data analytics (Code – INFO8075)
• Business intelligence tools. (Code – INFO8085)
• Big data analytics. (Code – INFO8095)
• Project management. (Code – INFO8665)

Level 2

• Career management. (Code – CDEV8130)
• Big data architecture. (Code – INFO8115)
• Data analysis, visualization, and acquisition. (Code – INFO8125)
• Descriptive analysis (Code – INFO8135)
• Diagnostic analysis (Code – INFO80145)
• Leadership and management essential (Code – MGMT8760)

Requirements for Admission

• To take admission you have to have 3 years of professional experience in business, informational technology, and computer science field. 
• You have to take an IELTS overall band score of 6.5. If you are below 6.0 then they will not take you. 
• You have to clear TOEFL iBT 88 to enter.
• PTE Academic 58 is required. 
• Their English language test band 6 is also required. 

Enquire Now

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6. Western University 

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The university’s Master’s data analytics program is good for the current world. Their programs will help you to understand the opportunities and challenges to gather data and properly store them.  They offer you a one-year course on data analytics. If you are interested to focus on your career and eager to take data analytics courses in Canada, you can explore their course curriculum. 

Course Insights 

Course Course

• Personal career management activities and classes. 
• Business skills for data scientists. 
• Data analytics consulting. 
• Databases. 
• Introduction to machine learning. 
• Statistical modeling I. 
• Statistical modeling II.
• Unstructured data. 

Artificial Intelligence (MDA-AI)

• Artificial Intelligence. 
• Big data analysis and management of infrastructure for unstructured data. 
• Classification. 
• Computer vision. 
• Data munging or carpentry. 
• Databases.
• Intelligent agents. 
• Natural language understanding. 
• Neural networks. 
• Statistical inference and modeling. 
• Supervised and unsupervised machine learning. 
• Visualization. 

Note- MDA-AI students can choose any two courses from below.

• Artificial intelligence I.
• Artificial intelligence II.
• Database II.
• Data science II. 
• Advanced machine learning. 
• Reinforcement learning. 

Finance, Insurance and Banking

Students can choose any 3 courses from below.

• Advanced financial modeling. 
• Banking analytics. 
• Data analytics for retail credit and consumer. 
• Financial risk management. 
• Introduction to quantitative finance with excel. 
• Investment portfolio management. 
• Life contingencies II.
• Loss Models I. 
• Monte Carlo methods and Financial applications. 
• Mortality modeling. 
• Stochastic processes. 
• Survival analysis. 
• Mathematics of financial options. 

Generalist 

Students can choose any 3 courses from below.

• Advanced financial modeling. 
• Advanced machine learning. 
• Analysis of brain imaging data. 
• The actuarial practice I. 
• Advanced data analysis. 
• Artificial intelligence I.
• Artificial intelligence II.
• Banking analytics. 
• Cognitive computing. 
• Data analytics for retail credit and consumer. 
• Databases II. 
• Distributed and parallel systems. 
• Financial risk management. 
• Introduction to quantitative finance with excel and financial markets. 
• Investment portfolio management. 
• Life contingencies II. 
• Loss models I. 
• Monte Carlo methods and financial applications. 
• Mortality modeling. 
• Reinforcement learning. 
• Stochastic processes. 
• Survival analysis. 
• Mathematics of financial options. 
• Time series. 
• Visual computing. 

Course Fees

For Canadian Students (Fall)

$ 9028.14

For Canadian Students (Winter)

$ 8379.00

For Canadian Students (Spring)

$ 8379.00

Total 

$ 25786.15

For International Students (Fall)

$ 18985.48

For International Students (Winter)

$ 18336.34

For International Students (Spring)

$ 18336.34

Total

$ 55658.15

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Know all about the Data Science Course Fee And Duration here.

7. University Canada West

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This university offers data and web analytics courses to give you good opportunities in the Canadian market. They provide micro-credentials from digital marketing institutes. Their course covers industry-based case studies that can be useful for you to learn about the companies. They will give you toolkits, technical skills and interactive learning, and other support.

That always is going to be helpful for you to develop soft skills and other tools and templates for better understanding. If you want to try out data analytics courses in Canada, their course can be a good fit for you. They are associated with the industry advisory council and digital marketing institute for further development. If you require help, they always will be there to help you to be certified for the course.

Course Insights

• Data and analytics fundamentals 
• Data collection and privacy. 
• Data security and compliance. 
• Data and marketing. 
• Visualizing and presenting data. 

Requirements for Admission

• You will get 11 hours of training programs. It will be self-paced for 12 weeks. 
• They will cover interactive modules for 5.
• After successful completion, you have to give an exam to get a certificate. 
• They will provide templates and practice tools that will be helpful for you. 
• You will be able to develop relevant technical skills and use all the toolkits that will be required in the course. 
• All the learning sessions will be interactive with industry experts and course instructors.  
• They will prepare you for the job and help you to build a strong portfolio. 

Course Fee  

$ 605 (Regular)

Duration 

5 modules for 11 hours. It will be finished within 12 weeks.

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Check out Short-Term Data Analytics Courses With Certifications

8. University of British Columbia (UBC)

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Next on our list of the top Data Analytics courses in Canada is The University of British Columbia. UBC offers a Master of Data Science (MDS) program for students to gain the requisite knowledge to analyze and interpret complex data. This intensive 10-month curriculum covers a comprehensive curriculum with practical learning and case study analysis.

The modules include data wrangling, statistical inference, machine learning, and data visualization. You engage in hands-on learning through real-world data analysis projects. The course makes you adept at implementing data analysis for different businesses and niches.

The program is structured to provide a balance between theoretical knowledge and practical application. The course fee is approximately CAD 52,126 for the entire program.

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Here is a list of the Top Data Analytics Courses in The UK

9. Queen’s University

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Queen’s University offers a Master of Management Analytics (MMA) course.  This is a 12-month program tailored to meet the rising demand for professionals in the department of data. The course is an ideal fit for professionals who aim to enhance their analytical skills to further their career and business goals.

The curriculum encompasses learning advanced modules like data management, predictive modeling, machine learning, and analytics strategy. You get a judicious mix of online and in-person sessions.

This helps to create a routine while giving you the flexibility to learn whenever it’s convenient. You have real-world projects to apply their learning in practice. The duration of the course is 12 months and is it priced at approximately CAD 72,500.

Enquire Now

10. University of Niagara Falls 

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Last but not the least in our list of the Top data Analytics programs in Canada is The University of Niagara Falls. The course offered is a graduate degree in Data Analytics. The program offers you specialization in general, marketing, and operational analytics. this 18-month program can be your doorway to learning key skills in data analytics and getting a coveted job in the domain.

The pedagogy provides students with a deep understanding of predictive analytics, Agile, data warehousing, and data visualization. Your learning is strengthened through practical assignments that cover all aspects integral to Data Analytics no matter the industry. The course fee is Approximately CAD 40,800 for the entire program.

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Frequently Asked Questions (FAQs) on Data Analytics Courses In Canada 

Q 1. How to use data analytics tools most effectively? 

To use data analytics most effectively, make sure you know what insights to focus on. Go for the right tools to organize data and interpret them. You should know when to use Tableau, Google Analytics, and more. Monitor trends and make sure you are abreast of new developments in the data sphere. Also, set up your dashboards, organize them optimally while honing your skills.

Q 2. Which institute is good for me to take data analytics courses in Canada?

There are lots of universities, institutes, and colleges available in Canada. Almost everyone offers a course in data analytics. Some students want to enroll in their preferred college or university. Others just want a globally recognized degree that they can share with the company’s recruitment department to get hired. the institutes mentioned above are a good fit for anyone wanting to learn data analytics in canada

Q 3.  Should I take up online or offline data analytics courses in Canada?

Most of the courses at the institutes are well-structured, meticulously organized, and planned whether they are online or offline. It is entirely up to you which mode of training you find more comfortable pursuing. Both modes of learning have their fair share of advantages and disadvantages. In terms of imparting education, online and offline institutes are at par with one another mostly. Choose a mode of training after careful consideration of the pros and cons for yourself.

Conclusion

In the end, just remember when you are investing money in a one-year data analytics course in Canada make the best use of your time. choose a course that best fits your vision and objectives for a more rewarding career. Carefully research the institutes and ask for a demo session or talk with your trainers before enrolling. once you get a good idea of the requirements and expectations from the curriculum, settle for one that will help with upskilling and placement opportunities.