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Top 10 Data Analytics Courses in Montreal With Placement

Data is the new oil and data analytics enables us to realize its immense potential. It is an analysis of data sets to get actionable insights to make business decisions. Data permeates from fast commerce to finance to entertainment. Exponential mobile and internet growth has generated enormous data. So, governments and corporations need to leverage data to optimize resources and solve various human problems. Hence skilled data analysts are in huge demand. So, data analytics courses in Montreal open up immense opportunities for individuals in this field. Do read further to know the career progression of a Data analyst.

List of best data analytics courses in Montreal

Montreal is one of the largest cities in Canada. It is known as the Center for Technology, finance, commerce, and Culture. Montreal is also known for its films and television productions. It is a global hub for AI research. This means there is a good scope for growth if you are planning your career as a data analyst in Montreal.

Data analytics is a booming career in many countries. It offers the best platform. The education system here is different and is globally preferred for pursuing higher education. Students from across the world migrate here for better career opportunities. Economically too they are the 2nd largest Canadian city.

You may also want to check the lucrative courses in Canada:

Let Us Understand Why is Data Analytics Considered the Best Career Option

Data analysis has the highest demand in Canada & is also the highest-paid job. They have a vast scope of career opportunities which is not limited to any particular industry, as they are in demand in all types of industries.

When we speak of high demand, there is also a lack of professionally skilled data analysts. Which is why they are paid well enough even at entry-level jobs. So, if you are an efficiently skilled and certified data analyst, you know you already made it to the list.

But that is not enough, for successful career growth, you must keep learning and upgrading yourself.

Top 10 Data Analytics Courses in Montreal


IIM SKILLS is a globally leading online training platform that offers a wide range of professional courses in various sectors and Data Analytics Courses in Montreal is one of their most recommended and highest-ranking courses.

An institute of repute with a significant presence in Dubai and Singapore. The institute’s twin pillars of strength are quality and Industry-relevant courses.

An individual can claim a 100% fee refund if the student isn’t satisfied with the course. A student can also avail financing which is EMI-free. Further, their program of Data Analytics in Montreal also includes a 2-month internship.

They provide each student with live recordings from their training sessions for future reference with lifetime free access. Also, the course is purely practical and tool-based. Weekly assignments help their students ready for future professional careers.

The duration of their  Data Analytics training in Montreal is six months. The content of the course is as follows:

Module NameImportant Topic
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
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


Contact:  [email protected]    +91 9580740740

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2. Knowledge Academy- 

They are an established player in training in in-demand skills. Justifying their reputation they have given more than 30,000 courses in 190 countries. They provide courses in Data Analytics in Montreal to private individuals, government agencies, the public sector, and corporations.

The duration of their course for the private individual is 90 days. They provide fully online and self-paced courses. The content of their Data Analytics training in Montreal  is as follows:

Hadoop Big Data Certification Course:

  • Module 1: Understanding Hadoop
  • Module 2: Processing Distributed Data
  • Module 3: Data Storage and Processing
  • Module 4: Defining Hadoop Cluster Requirements
  • Module 5: Configuring a Cluster
  • Module 6: Maximising HDFS Robustness
  • Module 7: Managing Resources and Cluster Health
  • Module 8: Maintaining a Cluster
  • Module 9: Hadoop and Implementing Data Ingress
  • Module 11: Backup, Recovery, and Security
  • Module 12: Introduction to Big Data
  • Module 13: Storing Big Data
  • Module 14: Processing Big Data
  • Module 15: Tools and Techniques to Get Insights from Big Data
  • Module 16: Developing a Big Data Strategy
  • Module 17: Implementing Big Data Solution

Big Data Architecture Training:

  • Module 1: Introduction to the Hadoop Development Framework
  • Module 2: Real-Time Processing and Batch Processing
  • Module 3: Data Formats and Data Lifecycle
  • Module 4: Data Model Creation
  • Module 5: Database Interface
  • Module 6: Scaling
  • Module 7: Security and Privacy
  • Module 8: Hadoop Clusters
  • Module 9: Selecting Right Technology
  • Module 10: Big Data and Hadoop Administration

Big Data and Hadoop Solution Architect:

  • Module 1: Introduction to Big Data and Hadoop
  • Module 2: What technology do we have for Big Data?
  • Module 3: Apache Hadoop
  • Module 4: Hadoop Core Components
  • Module 5: Processing Distributed Data
  • Module 6: Jobs Tracker and Task Tracker
  • Module 7: Anatomy of a Cluster
  • Module 8: NoSQL


Data Science Analytics:

  • Module 1: Introduction to Data Science
  • Module 2: Understanding Data Wrangling
  • Module 3: Data Analysis
  • Module 4: Data Mining
  • Module 5: Understanding Data Visualisation
  • Module 6: Data Manipulation
  • Module 7: Large Amounts of Data

Data Analytics with R:

  • Module 1: Overview of Data Analysis
  • Module 2: Business Intelligence and Analytics
  • Module 3: R Programming Language
  • Module 4: Importing Data
  • Module 5: Machine Learning

Contact: mailto:[email protected]  01344203999

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3. Career Foundry

This institute is an online career platform for aspirational tech professionals. They claim a tuition fee refund in case the candidate doesn’t land a job within 6 months of course completion.

The differentiating factor of this institute is their firm belief that anyone can build the career that they love on their terms. They have 4000+ active students across the continents.

They have 3 modules- Intro to Data Analytics, data Immersion, and  Data Specialisation module. Each module allows the candidate to pursue a course on a full-time basis or a flexible basis.

Under the ‘Full time’ option the duration of the course is slightly shorter and fixed whereas under the ‘Flexible’ Option duration of the course is relatively longer than the ‘Full time’ mode as a candidate can self-paced the course.

The content of their Data Analytics Courses in Montreal is as follows:

  • Introduction to Data Analytics
  • Data Analytics in Practice
  • Introduction to Excel
  • Understanding Data sets
  • Cleaning Data sets
  • Grouping and Summarising Data
  • Introduction to Analytical Methods
  • Conducting a descriptive analysis
  • Developing insights
  • Visualising Data insights
  • Storytelling with data
  • Preparing and data analysis
  • Data visualization and storytelling
  • Database and SQL for AnalystsPython fundamentals for data Analysts
  • Data ethics and applied Analytics
  • Advanced Analytics and dashboard design
  • Machine learning with Python
  • Data visualization with Python
  • Job Preparation Course

Explore here the advanced:

4. Springboard Data Analytics-

This institute also guarantees jobs and ensures a full fee refund in case a candidate doesn’t get the job. They regularly provide the student the opportunity to consult their mentor online. The USP of their course is that it provides one-to-one mentorship to every student. A candidate gets an average salary hike of + $18k post completing their course.

The duration of their  Data Analytics training in Montreal is 6 months. The content of the course is as follows:

  • Structured Foundations- Breaking down of problems, tree testing, value driver tree, HDEIP framework, &-Step problem-solving framework
  • Microsoft Excel for Business Analytics
  • Financial Analysis
  • Economics for Data Analysis- Demand & supply, elasticity, monopolies, market demand & supply curves.Business insights & Case Studies on cost-effectiveness
  • Statistics for Data Analysis- Descriptive statistics like mean, median, mode, spread, histograms, and box plots.
  • Visualization Tools- Develop an advanced ability to use two visualization tools: Tableau and Power BI, Learn to prepare data, such as reshaping and removing bad data, and Learn the basics of Data Analysis Expressions (DAX)
  • The Art of Storytelling- Get well-versed with the case studies to ensure effective communication strategies, formats, and templates. It enables students to make effective presentations to technical and non-technical stakeholders.
  • Data Connectivity- SQL structured & unstructured sets
  • Data Analysis in Python
  • Projects- Capstone 1 & Capstone 2 projects
  • Career Support-Leveraging network building to land interviews. Assisting in job strategies and creating an effective resume. Preparing for technical and non-technical interviews.

Contact: +1 415 966 2533  mailto:[email protected]

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5. Scaler Academy-

An institution with a reputation for providing candidates such an environment where every student can realize their potential of master data. Students are trained by Highly trained and experienced professionals from organizations like Amazon, and Google among others take classes.

Students have the flexibility to move between batches without any additional cost. Moreover, it also provides access to the Scaler Chat where students can connect globally to collaborate, learn, and get referrals.

Their Data analytics Courses in Montreal come in 3 formats- beginner module having 47 weeks duration, intermediate level with 39 weeks of course, and advanced level module with 31 weeks course duration.

The content of the course is as follows:

(Basic Module)

Programming language fundamentals

Data Structures and Algorithms


LLD and Project Specialisations

System Design Essentials


(Intermediate  & Advanced Modules)

Introduction to problem-solving

Data Structure & Algorithms

SQL (Structured query language)

LLD (Low-level design)

HLD (High-level design)

6. Excelr

This institute strives to become a leading organization to fulfill the upskilling and educational needs of a professional and students. They are the name to reckon with in the training and consultancy space.

They are headquartered in the USA with a presence across continents like Canada, India, and Australia among others. It also has partnered with TCS (Tata Consulting Services) for training and consultancy.

They provide Data Analytics courses in two formats. One is a ‘ Data Analyst training course’ for 6-month duration and another one is a ‘ Business Analyst certificate course’ for 6-month duration. The content of their Data Analytics courses in Montreal is as follows:

Data Analyst training courses:


  • Introduction
  • Referencing, Named ranges, Uses, Arithmetic Functions
  • Logical functions
  • Referring to data from different tables: Various types of Lookup,
  • Nested IF
  • Advanced functions
  • Date and Text Functions
  • Data Handling::Data cleaning, Data type identification, Remove
  • Duplicates, Formatting, and Filtering
  • Data Visualization: Conditional Formatting, Charts
  • Data Summarization: Pivot Report and Charts
  • Data Summarization: Dashboard Creation, Tips and Trick
  • Connecting to Data: Power Query, Pivot, Power Pivot within Excel
  • VBA and Macros


  • Introduction
  • SQL Commands and Data Types
  • DQL & Operators
  • Handling NULL Values
  • Group Operations & Aggregate Functions
  • Constraints and Joins
  • DDL, DML, and TCL commands
  • Indexes and Views
  • Stored Procedures
  • Function, Constructs
  • Union, Intersect, Sub-query
  • Exception Handling
  • Triggers


  • Introduction
  • Basic Charts & Formatting
  • Filters
  • Calculations
  • Data Combining Techniques
  • Custom Charts
  • Groups, Bins, Hierarchies, Sets, Parameters
  • Analytics & Dashboard
  • Dashboard Actions & Tableau Public

Power BI-

  • Introduction and installation
  • The Power BI user interface, including types of data sources and
  • visualizations
  • Sample dashboard with Animation Visual
  • Power BI artificial intelligence Visual
  • Power BI Visualization
  • Power Query Editor
  • Modeling with Power BI
  • Power Query Editor Filter Data
  • Customize the data in Power BI
  • Dax Expressions
  • Custom Visual
  • Power BI Service

Value Added Courses-

  • Business Statistics
  • Fundamentals of R
  • Fundamentals of Python
  • SAS(Self Paced)
  • ChatGPT

Other topics-

  • Business Statistics
  • Fundamentals of R
  • Fundamentals of python
  • SAS(Self paced)
  • Chat GP

7. Dataquest

The USP of this institute in its rightful claim is that it teaches skills faster to its students than any other institute providing Data Analytics courses with better retention rates.

The recipe for their success is three pillars contextual learning, efficient learning & structured paths. The student gets a refund in case he is not satisfied with the outcome.

Their Data analytics courses in Montreal have two modules. The first is ‘DA in Python’ of 8-month duration and the second one is ‘ DA in R’ of 4-month duration. The content of the course is as follows:

(DA In R):

Introduction to R

Data visualization in R

Data cleaning in R

Data visualization in R

Working with data sources using SQL

APIs & web scrapping in R

Probability & statistics

Predictive modeling & Machine Learning

Shiny applications in R

(DA in Python):

Introduction to Python programming

Intermediate Python & Pandas

Data cleaning in Python

The command line

Working with data sources using SQL

APIs and web scraping

Probability & statistics

Advanced topics in data analysis

Contact: http://support.dataquest.io/en


8. Noble Desktop- 

This New York-based institute has been providing professional certificate programs since 1990 and has been a very reputed global institute in the field of professional and certificate courses. Further, this institute is also licensed by the New York State Education Department.

The duration of their Data analytics courses in Montreal is 156 hours. The content of the course is as follows:

  • Excel for Data Analytics
  • Data analytics foundation
  • ‘Python for Data Science Boot camp
  • SQL Bootcamp
  • Python for automation
  • Python data visualization and interactive dashboard
  • Python machine learning boot camp
  • Tableau boot camp
  • ML (machine learning)
  • Projects

Contact: mailto:[email protected], (212) 226-4149

9. DataCamp-

Both private individuals and companies can avail of their Data analytics courses in Montreal. At the core of their work is to make data-driven decisions for value addition and prioritizing the needs of learners at the pedestal.

Their Data Analytics Courses in Montreal come in various modules and each of the module’s course duration ranges between 3-4 hours. The content of the course is as follows:

Analyzing data and creating Dashboards in Tableau

Data-driven decision-making in SQL

Connecting data in Tableau

Exploratory data in SQL

Statistical thinking in Python (part 1)

Hypothesis testing in R

Building dashboards with Dash & Polity

Data Analysis  in spreadsheets

Data visualization in spreadsheets

Introduction to Python

Introduction to SQL

Data Analysis in Excel

Streamlined data ingestion with Pandas

10. Tertiary Courses-

An institute at the forefront of Singapore’s SkillsFuture. They provide online Data Analytics courses in Montreal. The genesis of this institute was a movement to make youths employable in this ever-changing tech world by skilling them appropriately.

They are authorized Microsoft learning partners, Autodesk Authorized Training Center (ATC), Pearson Vue Authorized Test Center, and Kryterion Authorized Testing Center.

They provide various modules on Data Analytics in Montreal as per the requirement of the candidate.

Contact: mailto:[email protected] , +65 6100 0613


Career After Data Analytics courses in Montreal

Business Analyst– After doing Data Analytics in Montreal a candidate can choose the career path of Business Analyst. A business analyst maximizes operational outcomes, customer experience enhancement, and critical and strategic decisions based on insights from data sets

Financial Analyst – The job of a financial analyst is to catch fraud in the loop, risk assessments, and decisions related to investment that will benefit the organization.

Healthcare data analyst– A healthcare data analyst’s job is to achieve better patient care and targeted and efficient delivery of health services. Analyzing various data sets like insurance, diseases related data to tailor-made healthcare services and products

Big Data Analyst– A big data analyst plays with colossal and complex data sets of varying nature. It involves data mining to find a pattern, probability, and future projections. He is assisted by various tools and techniques to analyze such big data. Further, he also devises various models based on past patterns.

Social media analyst– Data from social media sites really helps in understanding the behavior of visitors and positioning the brand in sync with consumer behavior.

Data Analytics  vs. Data  Science

 Data Analytics Data Science
What he doesHe analyses numeric data to help organizations take better courses of actionHe analyses complex and big data
Skill setsData Warehousing, Adobe & Google Analytics, Programming language, Scripting & statistical skills, Reporting & data visualization, SQL-database knowledge, and spreadsheet knowledgeStatistical & Analytical skills, Data mining, Machine learning & deep learning principles, In-depth programming language, Hadoop-based analytics, Data optimization, Decision making & soft skills
Roles & ResponsibilitiesPre-processing and data gathering, representing data via reporting and visualization, Responsible for statistical analysis & data interpretation, Ensuring data acquisition & maintenance, Optimize Statistical Efficiency & QualityResponsible for developing Operational Models, Carrying out data analytics and optimization using machine learning & deep learning, Involved in strategic planning for data analytics,  Integrate data & performing ad-hoc analysis, and Fill in the gap between the stakeholders and customer


Data Analytics vs Data Engineer

Data AnalyticsData Engineer
Who is heHe analyses numeric data to help organizations take better courses of actionThe Data Engineer is involved in preparing data. They are fully involved in the development, testing, and maintenance of architecture.
Skill setsData Warehousing, Adobe & Google Analytics, Programming language, Scripting & statistical skills, Reporting & data visualization, SQL-database knowledge, and spreadsheet knowledgeData Warehousing including  ETL, also requires an advanced level of programming knowledge, Their skill set also includes Analysis based on Hadoop and in-depth knowledge of SQL, Pipeline, ML, scripting, and data visualization.
Roles & ResponsibilitiesPre-processing and data gathering, representing data via reporting and visualization, Responsible for statistical analysis & data interpretation, Ensuring data acquisition & maintenance, Optimize Statistical Efficiency & QualityDevelop, test & maintain architectures, Understand programming and its complexity, Deploy ML & statistical models, Build pipelines for various ETL operations and Ensure data accuracy and flexibility


Salary After doing Data Analytics Courses in Montreal

There are Various factors that impacts the salary of a data analyst the  Level of education & experience, Industry type, organization size & location, and Supply and demand of data analysts in the market.

However, as per  Data Camp’s website, the salaries one gets after doing a Data Analytics program in Montreal across major economies are given below:

United States:              $54,132

United Kingdom:          $38,131

Canada:                       $40,533

Australia:                      $43,762

Germany:                     $50,832

India:                            $4,677

Singapore:                   $41082

Advantages of completing Data Analytics Courses in Montreal

Career Transition– Data Analytics in Montreal provides a huge opportunity to Individuals aspiring to shift their domain of career as the Data analyst role is a lucrative career option and the opportunity to have hands-on such insightful and critical data can’t be ignored

Curriculum that is relevant to the industry– The curriculum of courses in data Analytics in Montreal is in sync with the industry requirement. Moreover, these courses keep adapting to the changes in the technology landscape to ensure individuals in terms of their skills and businesses in terms of their decision-making are future-proof.

Networking opportunities with professionals– One of the great features of all the programs of Data Analytics in Montreal is they provide good networks, peer to peer-to-peer collaboration.

Projects with real data sets– The World of data is fascinating and could provide solutions for many of the problems businesses and humanity, in general, are facing. As one gets the opportunity to do projects based on real data sets, It gives exposure to candidates’ complex patterns and complex problem-solving mindsets.

Focussed & fast-paced learning– These institutes providing courses in Data Analytics in Montreal are pin-pointed focused on the relevant syllabus, totally aligned with the requirement of the market and in sync with evolving technology. They provide very rigorous, intense lectures keeping the practicality of the concepts in mind.

Placement assistance program– Almost all the institutes offering Data analytics training in Montreal provide placement assistance to the candidates. Many even offer a money-back guarantee, in case one doesn’t get a job.

Boosts Resume– Data Analytics is a new and advanced domain in this age of information. More importantly every industry and business is one way or the other is impacted by the data. Hence candidates with training in data analytics will always attract good and career-changing offers.

Importance of Data Analytics for Businesses

Deep insight into target markets– Businesses can use the digital footprints of their customers to analyze trends, and patterns in consumers’ purchasing behavior and could accordingly customize products to fulfill those needs of the customer.

Decision-taking capabilities enhanced– After taking Data Analytics training in Montreal, executives of the businesses or the owners of small businesses can make rapid and more informed decisions pertaining to the business. This also helps curtail the ineffective strategies adopted by the business. Further using various models proactive in identifying opportunities could be paced up to get an edge over competitors

Targeted market campaigns– By monitoring shopping online, point of sale data, and behavior, marketers can customize advertisements to ensure wider reach, exceed customer expectations, loyalty to brand. The use of statistical methods comes in very handy in gathering all these insights.

Efficiency in operations & risk minimization– The enormity of the consumer data with the businesses allows companies to derive meaningful patterns to streamline operations, minimize costs, and increase revenues. By using predictive modeling companies can strategies future investments and even politicians can analyze which constituency to focus on.

Enhanced security net– Increasing digital footprints comes with its own set of problems like cyber threats and possible data thefts by competitors. Hence utilising data from virus scanners, and logs of operating systems becomes very critical to avoid such threats

Frequently Asked Questions (FAQ)

Q) Are data analytics Courses in Montreal worth it?

A) Data and information are the future. Moreover, a developed economy like Canada with a strong economy along with the presence of big MNCs, makes this a highly lucrative and career-changing proposition.

Q) Can I become a Data Analyst with a boot camp?

A) Yes very much! People with non-STEM backgrounds or complete beginners without any prior experience in data Analytics can build a lucrative and good career in Data Analytics.

Q) How much does a data analytics training in Montreal cost?

A) On average it costs around USD 10,000 but certain institutes like Scaler provide it at as little as USD 1,000. Further, the cost of training in data analytics in Montreal depends upon various factors like location, reputation of the institute, on-site and off-site facility, etc.

  1. Q) Can nontechnical – nonscience background persons enroll in Data Analytics courses in Montreal?
  2. A) A STEM Background is generally preferred for a course in Data analytics in Monreal but it’s not mandatory to have a STEM background. The institutes providing Data Analytics in Mont real provides courses for non-tech-non maths background individuals. So with the right training and experience anyone ready to put in hard yards will come out with flying colours.


The increasing availability of courses in Data Analytics in  Montreal shows the demand for skilled Data Analysts in Montreal. Canada is an advanced economy with big tech companies, the Data Analytics training in Montreal has become very important not only for individuals for lucrative offers but even more for big corporations to optimize resources and maximize revenue.

Data Analytics in Montreal will equip individuals, organizations, and governments with tools and techniques of the data-swayed world and ensure they are leading from the front and leveraging data for business success. And this creates a perfect match for employers and budding Data Analysts.

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