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Online Data Engineering Courses

We found 27 Best Online Data Engineering Courses , Canada with prices from 325 to 31212 canadian $
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University of Toronto School of Continuing Studies
University of Toronto School of Continuing Studies

Deep Learning

School:University of Toronto School of Continuing Studies

Duration:12 weeks

Locations:Toronto

Date:Feb 15-Feb 15

Commitment:Part-Time

  • Cost 995 $
  • Cost 6 166 $
school BrainStation
school BrainStation

Online Python Programming

School:BrainStation

Duration:5 weeks

Locations:Antigonish

Date:Mar 6-Apr 3

Commitment:Part-Time

  • Cost 2950 $
University of British Columbia
University of British Columbia

Master of Data Science

School:University of British Columbia

Duration:10 months

Locations:Vancouver

Date:Sep 5-Jun 28

Commitment:Full-Time

  • Cost 31212 $
WeCloudData
WeCloudData

Data Science Bootcamp

School:WeCloudData

Duration:6 months

Locations:Online

Date:Jun 15-Dec 10

Commitment:Part-Time

  • Cost 15400 $
Lighthouse Labs
Lighthouse Labs

Data Science Bootcamp

School:Lighthouse Labs

Duration:12 weeks

Locations:Online

Date:Mar 7-May 27

Commitment:Full-Time

  • Cost 14000 $
Canadian College Of Technology And Business
Canadian College Of Technology And Business

Database Developer Analyst Practicum

School:Canadian College of Technology and Business (CCTB)

Duration:70 weeks

Locations:Vancouver

Date:May 2-Sep 1

Commitment:Full-Time

  • Cost 12 500 $
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school BrainStation
school BrainStation

Python Programming

School:BrainStation

Duration:5 weeks

Locations:Toronto

Date:Mar 6-Apr 3

Commitment:Part-Time

  • Cost 2950 $
school BrainStation
school BrainStation

Data Science Diploma

School:BrainStation

Duration:12 weeks

Locations:Vancouver

Date:Apr 19-Jul 8

Commitment:Full-Time

  • Cost 16500 $
WeCloudData
WeCloudData

Data Science Bootcamp

School:WeCloudData

Duration:14 weeks

Locations:Online

Date:May 23-Aug 19

Commitment:Full-Time

  • Cost 15400 $
school BrainStation
school BrainStation

Data Science Diploma

School:BrainStation

Duration:12 weeks

Locations:Toronto

Date:Apr 19-Jul 8

Commitment:Full-Time

  • Cost 16500 $
school BrainStation
school BrainStation

Online Python Programming

School:BrainStation

Duration:5 weeks

Locations:Antigonish

Date:Mar 6-Apr 3

Commitment:Part-Time

  • Cost 2950 $
Juno College
Juno College

Accelerated Data Analytics

School:Juno College

Duration:2 weeks

Locations:Online

Date:May 9-May 20

Commitment:Full-Time

  • Cost 2 000 $
WeCloudData
WeCloudData

Data Engineering Bootcamp

School:WeCloudData

Duration:24 weeks

Locations:Toronto

Date:Feb 16-Jul 30

Commitment:Full-Time

  • Cost 9100 $
school Springboard
school Springboard

Data Science Career Track

School:Springboard

Duration:6 months

Locations:Online

Date:Mar 7-Sep 7

Commitment:Part-Time

  • Cost 12289 $
Juno College
Juno College

Data Analytics

School:Juno College

Duration:8 weeks

Locations:Online

Date:Mar 20-May 8

Commitment:Part-Time

  • Cost 2000 $
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 $
WeCloudData
WeCloudData

Data Science with Python

School:WeCloudData

Duration:5 weeks

Locations:Online

Date:Jul 12-Aug 10

Commitment:Part-Time

  • Cost 2 500 $
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 $
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school BrainStation
school BrainStation

Online Data Science Diploma

School:BrainStation

Duration:12 weeks or 8 months

Locations:Antigonish

Date:Feb 27-Oct 28

Commitment:Full-Time

  • Cost 16500 $
school BrainStation
school BrainStation

Online Data Science Diploma

School:BrainStation

Duration:12 weeks or 8 months

Locations:Antigonish

Date:Feb 27-Oct 28

Commitment:Full-Time

  • Cost 16500 $
WeCloudData
WeCloudData

Data Engineering Bootcamp

School:WeCloudData

Duration:24 weeks

Locations:Toronto

Date:Feb 16-Jul 30

Commitment:Part-Time

  • Cost 9100 $
school BrainStation
school BrainStation

Python Programming

School:BrainStation

Duration:5 weeks

Locations:Toronto

Date:Mar 6-Apr 3

Commitment:Part-Time

  • Cost 2950 $
school BrainStation
school BrainStation

Python Programming

School:BrainStation

Duration:5 weeks

Locations:Toronto

Date:Mar 6-Apr 3

Commitment:Part-Time

  • Cost 2950 $
school BrainStation
school BrainStation

Data Science Diploma

School:BrainStation

Duration:12 weeks

Locations:Vancouver

Date:Apr 19-Jul 8

Commitment:Full-Time

  • Cost 16500 $
Southern Alberta Institute Of Technology
Southern Alberta Institute Of Technology

Introduction to Python Programming

School:Southern Alberta Institute of Technology (SAIT)

Duration:5 weeks

Locations:Antigonish

Date:Feb 28-Apr 4

Commitment:Part-Time

  • Cost 325 $
WeCloudData
WeCloudData

Applied Machine Learning

School:WeCloudData

Duration:10 weeks

Locations:Online

Date:Aug 20-Sep 24

Commitment:Part-Time

  • Cost 2 500 $

Data Engineering Online Courses

Data engineering is all about collecting, storing, analyzing, and grouping data that exist within a company. This data comes from various sources and is available in different formats. A data engineer's job is to manage data and make it usable and applicable in practice, which includes interpreting, getting rid of errors, removing duplicates, and building data pipelines.

This field is growing very fast, and almost every company looks to have skilled data engineers and data scientists on their team so that they can design data models and help businesses to navigate through a huge amount of information that is circulating around the business.

Data engineering solutions would be valuable to any business because it is of utmost importance to any company to make use of the data that can help predict future trends and optimize already existing processes.

Data engineer VS data scientist

Data engineers and data scientists often go hand in hand to streamline the processes inside a company, but the question is, what is the difference between the two? We are going to give you a brief answer to it below.

Data science is about working with raw data and extracting the most valuable parts from it. A data scientist needs to process data and understand how everything works together. On top of that, these specialists are usually asked to present their findings to stakeholders and prove that their analysis has value to the business.

Data engineering relates to building systems that collect and store data, as well as maintaining them. In other words, data engineers need to build systems that will allow a data scientist to get the necessary information. The role of a data engineer is to design data models and create data pipelines, together with being responsible for data storage and building cloud data warehouses and data lakes.

All in all, both data engineering and science mean working with a data ecosystem and massive datasets; they only focus on different aspects of data processing.

Want to become an aspiring data engineer?

If you have set your mind on learning data engineering skills and working in the field of big data, data transformation, and data structures, you can sign up for a course that will take a certain amount of hours per week and will make it possible for you to get the grasp of data engineering.

Most courses do not ask candidates to have a degree in computer science, but there is certain prior knowledge that those who wish to have a data engineering career are required to have, and that is the following:

  • Knowledge of such programming languages as Python and SQL
  • Good level of linear algebra
  • Knowing how data structures and algorithms work and function

Different courses might have prerequisites that are necessary exactly for them, so do not forget to check the list of required skills and knowledge before you enroll in a program.

Best data engineering courses for a future data engineer

If you are ready to start your data engineering journey, it is time to have a look at the study options that would fit you personally and meet your learning goals. In general, data engineering courses comprise some basic skills and processes that, or data engineering fundamentals, will help you get an overview of what working in a big data ecosystem is like.

Usually, data engineering courses include the following:

  • Data modelling, where you will learn to set up NoSQL data models and relational databases that target the customer's needs
  • Data warehousing, where you can brush up on your skills in building a data warehouse and gain an understanding of data infrastructure
  • Data processing using different tools like Apache Spark and storing data in a data lake
  • Working with data pipelines, where you will gain some knowledge in how to schedule and automate data pipelines as well as perform quality checks

Some online data engineering courses not only offer a chance to learn data engineering in theory but also give the opportunity to work on a capstone project at the end of the learning process.

These real-world projects will show your potential employer that you are ready to become a successful data engineer and can apply your skills in building cloud-based data warehouses, supporting machine learning models, navigating through a data engineering ecosystem, and implementing data engineering solutions in real life.

How to choose the right course

We can suggest a few criteria that will make it a bit easier for you to single out what exactly you need:

  • Make sure that trainers and instructors are experienced professionals and have the qualifications that align with your interests. It will be a good idea to take a look at their certificates if there is a chance to do so.
  • Take a look at the platform where you are planning to study. If it is not user-friendly enough, you might lose some time trying to get your head around what is going on there instead of focusing on your primary skill.
  • Do not be afraid to read the reviews and ask questions if you have any. Sometimes feedback can tell you more than clever ads.
  • If you are looking for a course to shift your career, we advise you to choose one that offers hands-on experience and allows you to try your hand at different projects in the field.
  • If you are a beginner in data science or data engineering, do not take advanced courses right away. Plan your learning journey accordingly, and make your way to the top of your career nice and slow.

It is easy to get lost in a wide variety of information and find it hard to make the right choice, especially in terms of learning courses. Consider the options carefully, scale up the benefits and effort needed and pick the right course you prefer!

Frequently Asked Questions — FAQ

Can I learn data engineering online?

Of course, you can. With the development of online education, it is possible to take almost any course online, and a data engineering course is not an exception. In the course of study, you will learn data analysis and get familiar with big data tools and big data concepts, data modelling, and data infrastructure. You will also have the chance to work on your data engineering portfolio project that will showcase your skills.

Can I learn data engineering on my own?

If you have good skills in computing and mathematics, you can learn them yourself. However, if you want a professional tutor to guide you and monitor your work, we recommend browsing through the best data engineering courses available. They usually take up to 10 hours per week and will provide you with career services such as access to some necessary tools.

What will I learn in data engineering courses?

Every program has its distinctive features; for example, if you take the Data Engineer Nanodegree Program, you will learn all the skills that are a must in the world of data. If you enrol for a Professional Certificate in Data Engineering, you will focus on some basic skills that will allow you to take your first steps in the field, whereas the Google Cloud certificate will center around the Google cloud platform. But as a core, you will definitely learn to extract data, deal with a data pipeline, build data warehouses and work with data lakes.

How much does it cost?

The cost of the program depends on many factors, whether you wish to audit the course or take advantage of working together with a mentor, whether you desire to finish with a capstone project, or whether a certificate is enough. Different schools and platforms have a range of options and courses to choose from, so it is your choice to compare and analyze them in terms of price, too.

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