Big Data Analytics Free Courses in Canada

Several college students, graduates and working professionals are considering pursuing a postgraduate degree in data science or data analytics.  here is my post on Top Data Science and Analytics courses in Canada.

Top Data Science and Analytics courses in Canada

Data is becoming the most important virtual quantity in the 21st century, and more valuable than ever. As experts say,  Data is the New Currency (replacing Oil) in the Digital Economy or in the digital world. The amount of data is exploding day by day. Therefore, analysis of that vast data, Big Data Analytics, has become a key requirement for edging competition, optimizing productivity, driving innovation, customer acquisition and sales. The ever-expanding volume and detail of data captured by enterprises & startups, the rise of social media, Machine Learning and Internet of Things (IoT) will further fuel the exponential growth in big data analytics for the foreseeable future.

 

Harvard Business Review declared Data Scientist as the sexiest job of the 21st century. As per the McKinsey report, US will face the largest shortage of data science professionals – around 190, 000 professionals by 2018. Even PwCemphasized that data scientists, data engineers, and business analysts are going to be in great demand. But, Canada is also going to face serious shortage (~19, 000) in the big data analytics domain within the same timeframe. According to the recent IDC and Workopolis, there was a 7.8% increase in starting salary for Big Data graduates, with average salaries ranging from CAD $109, 000 to $139, 250 per year. Now, let’s look at the top Masters in Data Science and Data Analytics programs in Canada. So, let’s have a look at the Top Data Science and Analytics Programs in Canada.

Graduate Programs in Data Science – University of Waterloo

It’s not a stand-alone program in Data Science. You could specialize in Data Science while studying either Masters in Computer Science or Masters in Statistics.

For the Computer Science track, you need to have a Computer Science, Engineering or related degree with a minimum overall B+ (78%) average from a recognized university. You should possess sound knowledge of programming languages, data structures, operating systems, algorithms, computer organization and architecture and a background in calculus, linear algebra, probability, and statistics.

For the Statistics track, you need to possess an Honours Bachelor (4-year) degree in Statistics, Mathematics, or related degree with a minimum overall B+ (78%) average from a recognized university. You also need a solid background in calculus, linear algebra, and computer science.

The Data Science specialization in Computer Science and in Statistics share a common structure but with a different emphasis depending on which specialization students are admitted to, their skill sets, and interests. Both the tracks are seamlessly integrated with one another and provide breadth and depth in both areas as they pertain to the emerging and world-recognized discipline of data science. Individuals with knowledge in this area are in high demand. Know more about the Data Science Program at the University of Waterloo.

Master of Data Science – University of British Columbia

It’s a new professional Master’s program, which has been developed by the combined expertise of UBC departments of Computer Science and Statistics. The 10-month accelerated program aims to meet the need of the students by giving a fast track to their careers. It will provide the technical foundation and practical real-world data experience to prepare graduates to effectively translate data into knowledge, communicate the findings, and help decision-makers take action.

Students will learn data extraction for experimental use, application of complex techniques in data analysis and how to present and visualize the extracted data to domain experts. Utilizing descriptive and prescriptive techniques, students will extract and analyze data from both unstructured and structured forms.

You need to have a 4-year a bachelor’s degree in a relevant subject with a minimum B+ (76% at UBC) average in your third and fourth-year courses. You need to possess a deep understanding of programming, probability, statistics, and calculus. The IELTS requirement is 7.0. Know more about the Data Science program at UBC.

M.Sc. in Computing & Data Analytics – Saint Mary’s University

It is a 16-month professional Master’s program that combines two essential concepts of computing and data analytics: Software Design, Development & Management and Analytics & Business Intelligence. The program prepares students for rewarding and lucrative careers in the data science and analytics industry through experiential learning opportunities and industry interactions.

The industry partners for this program include IBM, SAS, Affinio, SimplyCast, LeadSift, Venor, REDSpace and few Government agencies. Applicants must possess a four-year Bachelor’s degree in Computer Science (or related field) with a cumulative GPA equal to 70%.

Master’s in Big Data – Simon Fraser University

The program provides deep knowledge of computer science to create new tools that find valuable data from the vast amount of information generated today. Students get prepared to become data architects, data scientists, programmers and chief data officers.

The curriculum has been developed with inputs from the industry experts like IBM, SAP, Simba Technologies, Tableau, and Phemi. This program is ideal for those with a strong aptitude in computer science, engineering or physics. The curriculum also includes a Co-op program (paid internship). Know more about the Big Data Co-op program and Big Data Program Curriculum.

Applicants must hold a bachelor’s degree or equivalent in Computer Science or a related field with a cumulative grade point average (CGPA) of at least 3.00/4.33 (B).  Applicants ideally should also have programming experience, particularly in languages like Java, Python, and C++.

Masters in Data Science and Analytics – Ryerson University

It’s a one-year MSc program. Students will develop a deep understanding of the technical and applied knowledge in data science and analytics along with interdisciplinary skills. The course aims to promote business growth, economic development, and employability.

The fields of study include core technical skills such as math, statistics, operations research, programming and domain knowledge that are in greatest demand in the international job market. This program will enable students to pursue careers in industry, government or research.

You need to have a 4-year Bachelor’s degree in Engineering, Science, Business or Economics with minimum 75% (aggregate in last two years of Bachelor program). You should also demonstrate understanding and working knowledge of statistics, data structures and algorithms, databases and R software packages. Know more about the Data Science and Analytics program at Ryerson University.

Big Data Analytics

Data Science and Analytics in Canada

MSc in Applied Computing – University of Toronto

Master of Management Analytics – Queen’s University

Master of Business Analytics – York University

MS Computing Science with Big Data Analytics / MS Computing Science with Machine Learning – University of Alberta

MSC IN MANAGEMENT: Business Analytics – University of Western Ontario

Data Science – McGill University / Information Studies – McGill University / Computer Science – McGill University

Data Science Specialization – Carleton University (Alternative Link)

Big Data Management and Analytics – University of Ottawa

MS Information Systems – Athabasca University

Information Security and Data Management – University of Calgary

Computer Science with Database Systems and Data Mining – University of Windsor

Computer Science with Data Management, Analytics, and Mining – University of New Brunswick

Big Data Analytics M.Sc.: Applied Modelling and Quantitative Methods – Trent University

Computer Science with Data Mining – University of Regina

MS Computer Science with Research in Data Science – Acadia University

What is Data Mining?

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