In the fast-paced world of data-driven decision-making, the demand for skilled professionals in data analytics has surged, making it imperative for individuals to stay abreast of the latest tools and techniques. Canada, with its thriving tech sector and a growing emphasis on harnessing the power of data, presents an ideal landscape for individuals seeking to enhance their data analytics prowess. In this article, we have listed the short-term data analytics courses available in Canada.
This course from the University of Toronto will teach you how to use Python to organise and analyse data as well as develop engaging tales that your clients and stakeholders will understand. This is a one-month duration course that starts in Jan 2024.
Western University – Canada's Business Analytics course will teach you how to use Excel to organise, analyse, and summarise a variety of business data. This is a two-month course that starts in Jan 2024.
Big Data systems involve a wide range of technologies that can only be comprehended if the underlying technological ideas have been mastered. That is why you require Concordia University Montréal's Programming for Data Analytics course. This is a two-month course that starts in Jan 2024.
The University of Waterloo's eight-week Behavioural Insights, Modelling, and Predictive Analytics course gives you the multivariate regression models, forecasting, and data analysis tools required for successful, well-informed decision-making. This is a two-month course that starts in Jan 2024.
If you're new to Big Data or simply know the fundamentals but want to pursue the Big Data Business Stream, we strongly advise you to begin with this Intro to Data Analysis with Excel course given by Concordia University Montréal. This is a two-month course that starts in Jan 2024
Western University – Canada's Business Analysis – Elicitation, Documentation, and Analysis course will teach you how to successfully model data and processes for computerised support information systems projects. This is a 4-day duration course that starts in February.
Concordia University Montréal's Leveraging Facebook Insights and Analytics for Success course will teach you how to use Facebook Audience and Page Insights to target your audiences and communicate with them fast and efficiently. This is a 1-day course.
This programme offers students a one-of-a-kind combination of theoretical knowledge and practical skills. Students learn how to gather, curate, alter, encrypt, and store data sets so that they may be analysed mined reused and repurposed to address problems that do not yet exist. Graduates of this programme are capable of collecting, organising, and correlating data for a variety of businesses such as government, applied research, human resources, health care, and sales and marketing. This is a 1-year duration course starts from 8th January.
This programme offers students a one-of-a-kind combination of theoretical knowledge and practical skills. Students learn how to gather, curate, alter, encrypt, and store data sets so that they may be analysed mined reused and repurposed to address problems that do not yet exist. Graduates of this programme are capable of collecting, organising, and correlating data for a variety of businesses such as government, applied research, human resources, health care, and sales and marketing. This is a 2-year duration course starts from 8th January.
This two-year full-time diploma programme is intended for those who enjoy working with data and understanding the outcomes to assist technical and strategic business choices. The cohort-based programme concludes with a capstone project that allows students to apply their knowledge before beginning a new profession. Students will get the opportunity to hone their project management and teamwork abilities.
Data Analytics graduates are equipped with the knowledge and tools needed to divide and conquer huge data sets. Students will obtain experience handling real-life data from domains such as telecommunications, banking, and health care through group projects that work with diverse data sets from different stakeholders.
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