Canada continues to be a popular destination for Masters (MS) in Data Science and Business Analytics. In recent years, experts have planned to increase the demand for data scientists to 500%, overwhelming the supply for data scientists and leading to high salaries for data scientists. Canada’s rules on immigration also play an essential role.
The demand for data scientists is 50% more than software engineers (17 percent) and data analysts (21 percent). In the past four years, data scientists doubled, and some even quote 300% growth. Are you interested in learning about the Data Science course in Canada? This article will look at the roadmap for becoming a data scientist in Canada — the job outlook and in-demand skills.
Introduction: Data Science jobs in Canada
At present, data science is one of the world’s exploding job sectors. As far as data science is concerned, there has never been a more significant job market in Canada or anywhere else. It is an interdisciplinary science that uses scientific methods, algorithms, and processes to research the available data and gain expertise.
In reality, one of the most promising professions with many prospects presently is the career field itself. The nature of the job itself is pretty flexible, enabling data scientists to work remotely, also independently, i.e., on a freelance basis. The demand for Big data has raised the need for specific skills throughout Canada, and salaries have been keeping pace with demand. Indeed, Data Scientists have a total average pay of almost $104,000 in Canada.
Who is a Data Scientist?
They are someone who collects and analyzes for a conclusion. Data scientists do this using a variety of methods. They typically design complicated algorithms to discover patterns and transform data from a combination of numbers and statistics into something usable for an organization or company.
Why choose Data Science jobs in Canada?
To put it simply, Canada is one of the world’s strongest economies delivering the highest living standards and employment prospects. The beginners in the field have a chance to grow and move beyond this friendly environment. The country also offers many other advantages, which you can find below:
- Fourfold demands
- High prospects
- Plenty of room for expansion, exploration
- Versatility
- Relatively high salary than any other countries
Let’s know what technical skills are the most demanded to keep you high with these advantages.
Roadmap to becoming a Data Scientist in Canada
There are three general steps to become a data scientist:
- Have a bachelor’s degree in IT, Computer Science, Math, Physics or another relevant field;
- Get a Master’s degree in data or comparable field;
- Get experience in the area where you plan to work
Data Scientist requirements
Top in-demand skills: It is vital to remember that students wishing to study a data science course must have the following skills. These help as a data scientist to excel:
- Mathematics and statistics: Need a good foundation in probability, hypothesis testing, and bayesian statistics.
- Artificial intelligence: Machine learning and computer vision together with new computational techniques
- Distributed processing: Knowledge of significant data partitioning and processing jobs on multiple devices
- Domain knowledge: Knowing about specific areas and applications.
- Formulating problems: Data science includes the proposal and testing of ideas which demand that what appears to be a separate issue be found commonality.
- Data presentation and visualization: The ability to quickly understand and succinctly explain results from the data.
Education: There are various ways to start a data science career. However, it is challenging to start a career in this subject without a college education for any purpose. At least you require a bachelor’s degree of four years. However, bear in mind that 73 percent of the industry’s professionals have a graduate degree, and 38 percent hold a Ph.D. You have to get either a Master’s or doctorate if your aim is an advanced leadership role. Many schools offer degrees in data science, which is a clear option. This degree allows you to process and evaluate complicated data collection and provides you with much technical information on statistics, computers, and analytical procedures. The schools providing this educational program must be accredited learning institutions in Canada.
Prefer undergraduate degree in:
- Mathematics
- Computer Science
- Statistics
- Computer Engineering
- Field of study related to data analytics
Setting the groundwork: Suppose you are a university student or recent graduate considering a challenging career path. In that case, non-negotiable job requirements will depend heavily upon the employer, the company’s technological tools for managing his data, and the time and resources available to invest in the data science enterprise level. Here are several approaches to acquiring appropriate expertise:
- Read books: Yes, read online books on data analysis, statistics and coding. Look also for online courses and video tutorials that deepen your knowledge of data science and related issues.
- Learn relevant programming skills: Clear advice, maybe, but before applying for the data scientist jobs, you will want to do so. It will probably be essential to learn primary languages such as Python and SQL. But also look at the job descriptions of data scientists from the firms you want to seek for employment. What additional language types for entry-level roles do they prefer? That makes you get a better idea of where you should focus your learning.
- Start your projects: The initiative to build your data science projects shows a desire for learning to help you take the lead in the recruitment process. It shows companies that you are committed to acquiring new skills, creatively and innovatively using them, just because you love them. A fast online search might help you find ideas for beginners’ data science projects.
Final words
The field of data science is enormous, and this requires the implementation of a hierarchical system. The potential advantages of Canada’s data science degree are multiple and vast. This field of study is a trendy issue, and the demand for professionals is growing in Canada and worldwide. Numerous jobs can be performed within the industry, and of course, different roles have varied landscapes.
