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Top 8 Data Analytics Courses in Canada With Placements

We live in a technology-driven world where discoveries and innovations have changed our lives dramatically. The more we become technology freaks and get comfortable in the modern world, the more different sets of data in every field get obtained. Data analytics helps us to use data efficiently and extract necessary information. Many data analytics courses in Canada will help you advance your career and get ahead of your peers.

List of best data analytics courses in Canada

What is Data Analytics?

There are diverse sets of data that we acquire in our day-to-day life. Some data contain essential information and some are noisy without any significant value. Data analytics is a term given to the process of obtaining and extracting information from a given data set.

This process is performed to aid in decision-making and to get insight to improve things from a data set. They are performed with the help of algorithms and software where human intervention is minimally required.

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Types of Data Analytics

1. Descriptive Analytics

Descriptive analytics mainly deals with the question of what has happened. It does not try to establish a cause-and-effect relationship or answer why it has happened. It is a process to find trends and identify the change over time that has taken place to aid in decision-making. It makes the data visible in simpler forms for better understanding and usage.

2.  Diagnostic Analytics

It precedes descriptive analytics. It mainly focuses on the question of why something happened. It tries to find the reason behind the positive and negative changes in data. It tests a hypothesis based on historical data to prove whether a hypothesized value is true or false. It also helps to find shortcomings and anomalies in a data set.

3. Predictive Analytics

It mainly focuses on the question of what is going to happen shortly. It establishes the relationship between past and current data to find the possibilities of an outcome. It helps the business to make the right decisions for the future. Machine learning is a type of predictive analytics where it finds trends between a set of variables.

4. Prescriptive Analytics

It focuses on the question of what the next best course of action should be taken. It somehow acts as a suggestion or remedy for a problem that could occur shortly. With the help of machine learning, algorithms, statistical models, and human logical reasoning, prescriptive analytics helps to make the best decision and find the best solution to a problem.

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Different Types of Data Analytics Techniques

1. Regression Analysis

Regression analysis is a statistical tool in which there is a dependent variable and one or many independent variables, in which we try to find a relationship between them and how they affect each other.

Regression analysis is useful in finding the necessary variables that hold a value in explaining the dependent variable and help eliminate unnecessary variables. There are mainly three types of regression analysis: linear regression, multiple regression, and nonlinear regression.

2. Factor Analysis

In data, multiple numbers of factors are involved at a given point in time. It becomes necessary to keep only those factors that provide value to analysis and eliminate the rest so we can decide. Factor analysis is a process where data from a mass number of factors is shrunk into a smaller number of factors. It gives value to only those factors that are available in explaining a data set and how it can be used for decision-making.

3. Cohort Analysis

The cohort is a type of analysis where the behavioral pattern of a group is studied to identify patterns and changes in their tastes and preferences. It is most useful for a company to study the behavioral responses of customers toward their products and services. There are two types one is based on how consumers behave through a certain period while the second is based on the different behaviors of people in multiple locations.

4. Monte Carlo Simulations

It is a mathematical tool used to assess the probabilities of an outcome or an uncertain event. It is a complex tool that is used when a simple tool cannot provide a solution to a problem. Since multiple random events can take place, Monte Carlo Simulation makes it easy to identify those necessary to focus on to curb the effects of risk and uncertainty lying around them.

5. Time Series Analysis

In time series analysis a data set is studied on how it changes with the course of changing time or at a given point in time. In this analysis time is often an independent variable used to understand how a data set changes and what kind of pattern it consists of. Data is recorded at a consistent point in time rather than recording it without any predetermined pattern. It is often used in financial models and to predict changes underlying the financial market.

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Career Opportunities and Roles in Data Analytics

1. Data Scientist

Data Scientists are often creators. They create algorithms, tools, and techniques used in analyzing a data set, finding patterns, and forecasting an outcome. They work with advanced analytics. They should be equipped with the latest technology and expertise. They begin with questions and try to find their answers. They are masters of machine learning and many programming languages.

2. Data Engineer

Data engineers are the architects of data sets. They often work with large amounts of data where they collect raw data, analyze them, convert them into usable information, and also test their efficacy from time to time so that there is no disruption in the working of a company. They collect those data sets that align with the objectives of a company. They built algorithms and programs so that data is processed smoothly.

3. Machine Learning Engineer

They work in machine learning and artificial intelligence. They are responsible for building algorithms and programs so a machine can effectively learn and provide the needed information without minimal disruption. They do research, build, and optimize artificial intelligence systems so that they can guide the operation of machine learning programs.

4. Financial Analyst

They are experts in financial data and how they should use data in making financial decisions, making financial recommendations, and finding opportunities whenever they are available. They study financial markets, follow and recognize trends, and develop models to facilitate decisions.

The work of a financial analyst is quite often mathematically complex and vigorous. They work in Excel to make projections. They forecast results based on year-based results, using regression analysis and other financial tools and techniques.

5. Business Analyst

Business analysts evaluate and maintain data sets to help businesses operate smoothly. They help businesses in their daily operations by closely watching different data available and making changes that need to be done.

They make data easily understandable by making its visual representation in the forms of bar graphs, line charts, pie diagrams, etc. They help businesses evaluate their products, services, and systems so that they can make profitable decisions with the insights that they provide.

6. Quantitative Analyst

Quantitative analysts are professionals who use quantitative tools and techniques to help businesses, hedge funds, banks, and trading companies to recognize profitable investment opportunities as well as help them to make sound financial decisions. They are experts in operating complex algorithms and programs and doing mathematical computations. They help in risk management and pricing decisions.

7. Database Admin

They work both as technicians and operators. They are responsible for collecting data, maintaining databases, monitoring that the data is secured from the threats of cybercrime and loss, and operating data to help in decision-making for the business. They work with design teams and developers so that new features can be added and troubleshooting problems can be solved.

8. Data Visualization Specialist

Raw data is not understood easily by non-technical people who are not specialists and cannot interpret a particular data set. Data visualization specialists are experts who convert complex data into simple ones in the form of bar graphs, charts, and other understandable mediums.

They use tools and techniques so that data is transformed in such a manner that helps different stakeholders of a business understand what the data is presenting, helping them in decisions.

9. Business Intelligence Analyst

They are experts who collect data, transform it, and review it so that the many marketing and financial decisions of a business can be smoothly undertaken. They figure out the trends and patterns in data to help a business achieve its future goals. They prepare analytical reports and review them from time to time to keep up to date with market trends.

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Data Analytics Courses in Canada Certification vs Degree

Certification in data analytics is mostly 12 months in duration. It does not teach in-depth knowledge but it provides the relevant skills needed to achieve to enter the corporate world. Those who have time constraints can opt for certification courses.

Certificate courses provide detailed knowledge in one topic such as programming languages of Python, R, etc. They are easily available in an online format which makes it easy for a person to access them at any time at their convenience. Bachelor’s degree in data analytics is of mainly four years of duration.

It teaches essential knowledge in every field of statistics, mathematics, and data science. Masters in data analytics is 12 to 15 months duration upon completing a bachelor’s program. They are more specific in a particular field where they can specialize.

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Top 8 Data Analytics Courses in Canada

 

1. IIM SKILLS

If you are looking for the most recommended and highly rated institute in Canada that offers the best Data Analytics Course, then you must consider IIM SKILLS as your first choice. IIM SKILLS is not just highly recommended in Canada but it is the most preferred institute for learning many professional & skill development courses in the world and from any corner of the world.

IIM SKILLS has a wide range of courses that are taught online. Which is why it is easily accessible from any corner of the world where you have internet access. Therefore, IIM SKILLS is the leading tech company that provides the best data analytics courses in Canada.

 

IIM SKILLS also provides a guaranteed 2 months of internship which is an optional choice once you complete a 6 month online training session. Not only this, you are also provided with job placements in reputed companies for better career experience.

They also offer 24*7 guidance for career-building opportunities. Also unlike other institutes the course fees are absolutely at a very minimum cost for the services you get during and post your course duration.

Also Read: IIM SKILLS Data Analytics Course Review

 

Said that, you get a lifetime free access to their learning materials and also the live recordings are timely shared with all the applicants. You also get the benefit of flexible learning. In short, the course is perfectly designed for the level of applicants i.e. beginners to professional level, everyone & anyone can enroll for the course.


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2. Langara College

It is located in Vancouver, BC, Canada. It started in 1965 as a part of Vancouver Community College. It is an independent public college under the Provincial College and Institute Act. It offers 1700 courses which come in more than 130 programs.

Those who study at Langara College are eligible for the benefit of work opportunities both on and off campus through the Government of Canada Post Graduation Work Permit Program. They offer post-degree diplomas in data analytics.

Features of Data Analytics Courses in Canada Are:

  1. The duration of this course is 2 years.
  2. They provide additional options to work after completing graduation.
  3. The cost of this program is CA$27,140/ ₹2,164,186.

 

3. Georgian College

It was established in 1967. They provide more than 130 market-driven programs. With over 95,000 alumni, they have 10,200 full-time students. Their employment rate has been 88.1% for more than 20 years indicating their progress and growth. They are a multi-campus college based in Central Ontario.

Features of Data Analytics Courses in Canada Are:

  1. The duration of this course is 1 year.
  2. The cost of this program is CA$18,378/ ₹998,150.
  3. This data analytics course requires 12 mandatory courses:
  • AI in Finance (ODE)
  • Business Intelligence
  • Business Processes
  • Collection and Management (ODE)
  • Data Analytics Project
  • Data Collection and Curation
  • Data Manipulation Techniques
  • Data Programming
  • Data Systems Architecture
  • Data Visualization
  • Enterprise Analytics
  • Information Encoding Standards
  • Math for Data Analytics
  • Social Data Mining Techniques

 

4. St. Clair College

This college is registered as a charitable organization as its aim is to provide the best class educational facilities to all. Their foundation provides more than $550,000 annually to their students in scholarship awards.

Full-time students have access to $3 million in financial support in the form of scholarships, awards, and other types of aid. They have more than 6000 students who study in over 90 different types of programs.

Features of Data Analytics Courses in Canada Are:

  1. The duration of this course is 2 years.
  2. The fee for this course is CA$30,822/₹1,674,016.
  3. The curriculum of data analytics courses in Canada are:

SEMESTER 1

  • Introduction to Data Analytics
  • Basic Statistics and Exploratory Data Analytics
  • Introduction to Artificial Intelligence
  • Information Management
  • Analytics Tools and Decision-Making

SEMESTER 2

  • Machine Learning 1
  • Data Visualization and Reporting
  • Advanced Statistics for Data Analytics
  • IT Service Management
  • Business Analytics and Decision-Making

SEMESTER 3

  • Machine Learning 2
  • Project Management Analysis
  • Ethics for Analytics
  • Marketing Analytics
  • Capstone Project 1

SEMESTER 4

  • Supply Chain Analytics
  • Financial Analytics
  • Capstone Project 2
  • Healthcare Analytics

 

5. Douglas College

It was founded in 1970. Annually more than 25,000 students graduate from this college. It is recognized by the British Columbia Education Quality Assurance Program, a designation recognized globally for providing quality education. Each year 17,000 students take credit courses in Douglas and around 8,500 take non-credit courses.

Features of Data Analytics Courses in Canada Are:

  1. The duration of this course is 2 semesters.
  2. The cost is CA$18,728/ ₹1,017,151
  3. The following are the course requirements for this program:

Select one course from these two options

  • Business Statistics
  • Introduction to Statistics

Required Courses:

  • Introduction to programming-1
  • System Analysis and Design
  • Database 1
  • Database 2
  • Fundamentals of Data Analytics
  • Data Visualization
  • Special Topics in Data Analytics

Select one course from the two options:

  • Business support systems with Excel
  • Fundamentals of Machine Learning in Data Science

Select one course from all of these options:

  • Data Analytics for Managers
  • Operations Management
  • Continuous Improvement
  • Business Statistics 2
  • Front-End Web Development
  • Web Based Scripting
  • Advanced Web Programming with JavaScript and AJAX
  • Project Management
  • Introductory Marketing
  • Customer Relationship Management

 

6. Toronto Metropolitan University

It was named after Ontario’s first superintendent of education and leading public school advocate Egerton Ryerson. It has 62 bachelor’s programs and 55 Ph.D. and master’s programs. It ranked second in the National Reputation Ranking by Maclean’s Magazine (2015). More than 217,000 people have graduated from the Toronto Metropolitan University from all over the world. It is ranked in the 801st position among the 1250 top universities in the world.

Features of Data Analytics Courses in Canada Are:

  1. This is available in a one-year program if completed full-time or two years if a part-time option has been opted for. It is also available as a two-year program with a thesis option.
  2. The fee for this program is CA$25,514/ ₹1,385,727
  3. This master of science and data analytics includes the following courses:
  • Advanced-Data Visualization
  • Bayesian Statistics and Machine Learning
  • Data Mining and Prescriptive Analysis
  • Designs of Algorithms and Programming for Massive Data
  • Interactive Learning in Decision Processes
  • Machine Learning
  • Management of Big Data and Big Data Tools
  • NLP (Text Mining)
  • Social Media Analytics

 

7. Red River College

Red River College is the largest institute in applied science and research in Manitoba. It has more than 200 courses both full-time and part-time duration. They provide courses that focus on innovative techniques and solutions so that students can meet the changing industry demand and contribute to overall economic growth. They provide a Diploma in Data Science and Machine Learning.

Features of Data Analytics Courses in Canada Are:

  1. The duration of this course is 2 years.
  2. The cost of this program is CA$ 35,396/ ₹1,922,470.
  3. Following is the syllabus for this course:

TERM 1

  • Introduction to machine learning
  • Math and Data Analysis Techniques

TERM 2

  • Supervised Machine Learning
  • Data Management Abilities
  • Data Analysis

TERM 3

  • Artificial Intelligence
  • Unsupervised Machine Learning
  • An elective Work in a specialized area such as Neural Networks or Robotics

TERM 4

Work on a project and solve real-world problems.

 

8.  Western University

It was founded in 1878. It is ranked among the top tier 1% of universities in the world. About 43,352 students study here including those from more than 129 countries of the world. They have more than 400 undergraduate majors and specializations. They have a 92.5% employment rate after 6 months of graduation.

 

Features of Data Analytics Courses in Canada Are:

  1. The duration of this program is 2 semesters.
  2. The fee for this course is CA$53,180/ ₹2,888,377.

 

FAQs About Data Analytics Courses in Canada

●      What is the use of data analytics?

Today everywhere we see everything comprises many forms of data. Without processing raw data, we cannot expect it to be useful for making decisions. Data analytics is relevant in every field such as healthcare, IT sector, business, etc. As more and more data are being generated, more and more scope of data analytics in the future is increasing.

●      Does Data Analytics make up a good career?

Yes, Data Analytics makes up a good career. Every day about 2.5 quintillion bytes of data are created. There is an explosion of data like never before which makes data analytics the most sought-after skill.

●      What is the salary of a data analyst?

Data Analysts can comfortably expect their starting salary to be around $70,000. With the increase in expertise and experience, it can go up to $125,000.

●      Is it difficult to learn Data Analytics?

Data Analytics is a highly technical job where lots of algorithms and complex language programs are used. Pursuing a career in data analytics may require time commitments and more hard work than any other technical job.

●      What is the eligibility for pursuing data analytics courses in Canada?

If someone is pursuing Data Analytics courses and certificates which are for a short term then there is not any specific requirement concerning education and credentials. If someone wants to earn a diploma or master’s then it requires a minimum 50% passing mark after graduation in any domain or an equivalent bachelor’s degree in science or computer science from a recognized university.

Conclusion On Data Analytics Courses in Canada

One can go after Data Analytics as their career choice. With a huge scope in the future and many advanced programs available to teach one can find what kind of data analytics course fits them the most to make the most out of the opportunity. To choose the best Data Analytics courses in Canada one must keep in mind whether they are from a Technical or Non-Technical background.

One should get guidance from a trusted mentor on how to make your career path in data analytics as its field is vast and numerous types of job profiles exist. It can be time-consuming and sometimes rigorous to pursue but one should keep in mind the bigger picture that comes from it. To make a successful career in the future Data Analytics is definitely on the top-notch list of fast-progressing career options.

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