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Online Data Science Courses

We found 95 Best Online Data Science Courses , Canada with prices from 165 to 61555 canadian $
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Coursera
Coursera

Big Data MasterTrack Certificate

School:Coursera

Duration:6-9 months

Locations:Online

Date:Mar 14-Dec 14

Commitment:Part-Time

  • Cost 5706 $
Coursera
Coursera

Machine Learning for Analytics MasterTrack Certificate

School:Coursera

Duration:5 months

Locations:Online

Date:Mar 14-Aug 14

Commitment:Part-Time

  • Cost 4000 $
University of Calgary
University of Calgary

Data Analysis Using Microsoft Excel Tools

School:University of Calgary

Duration:3 weeks

Locations:Calgary

Date:Apr 22-Apr 29

Commitment:Part-Time

  • Cost 575 $
school BrainStation
school BrainStation

Data Science Diploma

School:BrainStation

Duration:12 weeks

Locations:Toronto

Date:Apr 19-Jul 8

Commitment:Full-Time

  • Cost 16500 $
University of Toronto School of Continuing Studies
University of Toronto School of Continuing Studies

Data Analytics Bootcamp

School:University of Toronto School of Continuing Studies

Duration:24 weeks

Locations:Online

Date:Feb 23-Aug 12

Commitment:Part-Time

  • Cost 10500 $
Bow Valley College
Bow Valley College

Data Management and Analytics

School:Bow Valley College

Duration:1 year

Locations:Calgary

Date:Sep 6-Aug 25, 2023

Commitment:Full-Time

  • Cost 12274 $
school George Brown
school George Brown

Infographics and Data Visualization

School:George Brown

Duration:7 weeks

Locations:Antigonish

Date:May 3-Jun 14

Commitment:Part-Time

  • Cost 178 $
school Springboard
school Springboard

Data Analytics Career Track

School:Springboard

Duration:6 months

Locations:Online

Date:Mar 7-Sep 7

Commitment:Part-Time

  • Cost 10551 $
The G. Raymond Chang School of Continuing Education, Ryerson University
The G. Raymond Chang School of Continuing Education, Ryerson University

Health Informatics

School:The G. Raymond Chang School of Continuing Education, Ryerson University

Duration:1 year

Locations:Online

Date:May 2-Apr 28

Commitment:Part-Time

  • Cost 4 141 $
Juno College
Juno College

Data Analytics

School:Juno College

Duration:8 weeks

Locations:Online

Date:Mar 20-May 8

Commitment:Part-Time

  • Cost 2000 $
The G. Raymond Chang School of Continuing Education, Ryerson University
The G. Raymond Chang School of Continuing Education, Ryerson University

Business Decision Analysis

School:The G. Raymond Chang School of Continuing Education, Ryerson University

Duration:9 months

Locations:Online

Date:May 2-Feb 2

Commitment:Part-Time

  • Cost 3 643 $
Smith School Of Business At Queen's University
Smith School Of Business At Queen's University

Master of Management Analytics

School:Smith School of Business at Queen's University

Duration:12 months

Locations:Toronto

Date:Apr 28-Apr 28

Commitment:Part-Time

  • Cost 42905 $
Canadore College
Canadore College

Enterprise Analysis and Research

School:Canadore College

Duration:2 years

Locations:North Bay

Date:Sep 6 - Aug 30, 2024

Commitment:Full-Time

  • Cost 5440 $
school BrainStation
school BrainStation

Python Programming

School:BrainStation

Duration:5 weeks

Locations:Toronto

Date:Mar 6-Apr 3

Commitment:Part-Time

  • Cost 2950 $
WeCloudData
WeCloudData

DevOps Engineer Bootcamp

School:WeCloudData

Duration:6 months

Locations:Online

Date:Mar 3-Aug 14

Commitment:Part-Time

  • Cost 9100 $
school BrainStation
school BrainStation

Data Science Diploma

School:BrainStation

Duration:12 weeks

Locations:Vancouver

Date:Apr 19-Jul 8

Commitment:Full-Time

  • Cost 16500 $
UBC Sauder School of Business
UBC Sauder School of Business

Big Data Leadership

School:UBC Sauder School of Business

Duration:2 days

Locations:Online

Date:Jun 27-Jun 29

Commitment:Part-Time

  • Cost 1 995 $
General Assembly
General Assembly

Data Science Immersive

School:General Assembly

Duration:12 Weeks

Locations:Online

Date:Mar 7-May 27

Commitment:Full-Time

  • Cost 14950 $
school George Brown
school George Brown

Introduction to Machine Learning

School:George Brown

Duration:7 weeks

Locations:Online

Date:May 28-Jul 9

Commitment:Part-Time

  • Cost 379 $
school BrainStation
school BrainStation

Data Science Course

School:BrainStation

Duration:5 or 10 weeks

Locations:Vancouver

Date:Feb 23-Apr 26

Commitment:Part-Time

  • Cost 3250 $
WeCloudData
WeCloudData

Data Science Bootcamp

School:WeCloudData

Duration:6 months

Locations:Online

Date:Jun 15-Dec 10

Commitment:Part-Time

  • Cost 15400 $
Ryerson University
Ryerson University

Data Science and Analytics (MSc)

School:Ryerson University

Duration:Up to 2 years

Locations:Toronto

Date:Sep 6-Aug 30, 2024

Commitment:Full-Time

  • Cost 10 121 $
Simon Fraser University
Simon Fraser University

Masters in Computer Science, Big Data Specialization

School:Simon Fraser University

Duration:16 months

Locations:Vancouver

Date:Sep 6 - Dec 22, 2023

Commitment:Full-Time

  • Cost 30 533 $
school BrainStation
school BrainStation

Online Data Science Course

School:BrainStation

Duration:10 weeks

Locations:Antigonish

Date:Feb 7-Apr 11

Commitment:Part-Time

  • Cost 3250 $
school Simplilearn
school Simplilearn

Data Science with Python

School:Simplilearn

Duration:3 or 6 weeks

Locations:Online

Date:Feb 26-Apr 2

Commitment:Part-Time

  • Cost 599 $
WeCloudData
WeCloudData

Applied Machine Learning

School:WeCloudData

Duration:10 weeks

Locations:Online

Date:Aug 20-Sep 24

Commitment:Part-Time

  • Cost 2 500 $
Smith School Of Business At Queen's University
Smith School Of Business At Queen's University

Master of Management in Artificial Intelligence

School:Smith School of Business at Queen's University

Duration:12 months

Locations:Kingston

Date:Aug 2-Jul 28

Commitment:Part-Time

  • Cost 61555 $
Langara College
Langara College

Programming with Python

School:Langara College

Duration:6 weeks

Locations:Online

Date:Mar 8-Apr 12

Commitment:Part-Time

  • Cost 385 $
Подробнее
school BrainStation
school BrainStation

Online Data Science Course

School:BrainStation

Duration:10 weeks

Locations:Antigonish

Date:Feb 7-Apr 11

Commitment:Part-Time

  • Cost 3250 $
WeCloudData
WeCloudData

Artificial Intelligence Engineering Bootcamp

School:WeCloudData

Duration:6 months

Locations:Online

Date:Feb 24-Sep 8

Commitment:Part-Time

  • Cost 8 600 $

Data Science Courses

Nowadays, it is almost impossible to find a company without a data analyst in the team. Big data analysis is the key to achieving high results in any field, be it sports, medicine, cinema, or sales. Data analysts are gray cardinals because, very often, they remain in the shadows. However, their role in success exceeds the contribution of top managers or marketers.

A data analyst is a fashionable, modern, and highly paid profession. Respectively, data science is a very in-demand field that is constantly growing and improving. Nevertheless, to analyze data at the top level, you either need to be a genius, like Dade “Zero Cool” Murphy from the movie “Hackers,” or take a special training course.

In this review, we will tell you about the main advantages of data science courses, share information about what skills cool data scientists have, and what prospects await you in the big data world.

Who is a data analyst?

Many people reflect concern about the significance of the work of analysts, as the list of their responsibilities remains blurred. To better understand the role of data scientists in the development of any company, let's simulate the situation. Imagine that the head of the firm informs a certified analytics professional about the need to create a roster of actionable insights about the behavior of the target audience.

After receiving the task, the analyst will do the following:

  1. Collects all available information and performs data extraction for future analysis.
  2. Forms hypotheses that will help improve the company's performance.
  3. Filters, sorts, and cleans data.
  4. Builds predictive models, runs machine learning algorithms, or applies any other techniques that will help accept or reject a hypothesis.
  5. Checks big data findings for reliability and the presence of errors.
  6. Visualizes the data and presents the results for better understanding and clarity.

Overall, by professionally analyzing data, you will directly influence the development of the entire company, increase its competitiveness, and boost profits. However, to become such a specialist, it is best to finish the certificate program, where you can study with the professionals of data science.

Data Scientist Required Skills

Data scientists are not only good programmers because to effectively solve complex tasks and meet the requirements described above, but they also need to upgrade their soft skills. Data science is an area with no boundaries for development. Nevertheless, it is essential to identify the primary skills.

Basic Mathematics and Statistics

All concepts of data science have a mathematical basis, so the prior knowledge that an analyst needs to master is mathematics. Mathematics plays a crucial role in each of the stages of data analysis, whether it is the interpretation of linear regression, predictive analytics, analysis of consumer behavior, or calculating the probabilities of any events.

Programming

If mathematics is a basic theoretical skill in data science, then programming is the main practical instrument among all big data tools. Many data scientists prefer programming languages such as Python and R. In most cases, R programming is suitable for classical statistical analysis and Python for more complex data analysis. Ideally, a cool data scientist can operate with both programming languages.

Machine Learning

Machine learning is the most promising direction in data science, and if you know how to use it, you will become a diamond for employers. Machine learning mechanisms allow you to predict events with maximum accuracy, for example, how decision-makers understand which product they need. In this regard, those data analytics who have developed machine learning skills are the kings of the industry.

Critical thinking

Data science is a constant search for solutions to complex problems. Sometimes it is not enough to use standard algorithms and well-known approaches to achieve success. What distinguishes top data analytics is that they see the solution where it is hidden. Like artificial intelligence, they can build models in their heads and process large data sets to eventually find the right solution.

Group Work

History knows a lot of brilliant programmers and data scientists, but what unites them? Of course, teamwork. No matter what they do, be it data mining or advanced statistical modeling, not a single person but a group of people comes to success. The data analytics crew is like a football team, everyone has their task and role on the field, and if everyone supports their teammate and performs their duties, then a positive result will come.

On the whole, as you can see, data science is a mix of knowledge in mathematics, statistics, and programming, as well as developed soft skills. It is noteworthy that you can develop each of these aspects from scratch, especially if you will take a data science course suitable for your interests.

Data Science Courses Main Privileges

Any data science training is unique because it is dedicated to different methods of data analysis, programming languages, and approaches in machine learning. This can be an online course on predictive analytics for beginners or an advanced program for those who try to develop neural networks.

However, if you decide to learn data science, then with a hundred percent probability, you will acquire the following new skills:

  • Deep learning of statistical concepts. A distinctive feature of data science is that if, at the initial stage, you miss something important, then later, you will not be able to master more complex methods. In this regard, the first step of the course content is the study of statistics.
  • Data science requires coding, so depending on the course, you will get skills in Structured Query Language (SQL), Python, Stata, or R programming, which you can apply for analyzing data of any volume and for any business purposes.
  • For each data scientist, it is critically essential not only to make models and tables, but also to represent data visually. Data visualization is a separate section of each course, and this content covers topics such as creating intuitive designs for data, building graphs or interactive charts, and much more. Data visualization is a separate art in the world of data science, and if you master it, it will have a positive impact on your career.
  • During the course, you will be taught to apply data management systems. These are the strategies that data analysts use in business intelligence to get useful insights about all market participants.
  • A data science certificate instantly makes you competitive in the labor market because employers first pay attention to the presence of documented evidence of your knowledge. At the same time, it is important to note that a recent math or science graduate will never be out of work.

All in all, if you don't know where to start learning, then choose a topic related to the basics of programming as the first course. If, after the first parts of the course, you will realize that data analysis is your vocation, then you can take courses without stopping because data science belongs to the field of continuing studies.

Frequently Asked Questions - FAQ

Can I get the necessary skills through online data science courses?

Of course, you can learn data science in an online format. All seminars and practices will be held remotely. For example, if you study statistics, then a predictive analytics professional will tell you the whole theory with the help of recorded lectures. The most significant thing is not to miss the start date of the online course and pass homework on time.

What are the career prospects after completing the data science course?

You can work in many industries that are related to computer science and not only. For example, you can engage in data mining, develop natural language processing for artificial intelligence, provide data security, establish marketing communications mechanisms to increase company profit, or deal with neural network mapping.

How can I understand that a data science education is right for me?

If you like to analyze the processes that are happening around you, and at the same time you are well-versed in mathematics, then you have every chance to become one of the leading data analysts. During the data science course, you will bring your skills to perfection, and in the future, you will analyze data for global companies.

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