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How to Become a Data Scientist in Canada in 5 Steps

Here’s the perfect description of how to become a data scientist in Canada!

You may be an outstanding individual with a genuine passion for mathematics, science, and IT with the talent of analyzing data into well-accurate forms, but you don’t know how to make a living out of it. Knowing how to become a data scientist in Canada will draw you a step closer to your passion. And we’re here to help!

In this article, you will know who a data scientist is, the responsibilities of a data scientist, the career prospects of a data scientist, and how to become a data scientist in Canada, as well as in Canada.

What is Data Scientist?
A data scientist is an analytical individual that gathers and analyze large sets of data to find meaning in number. Oftentimes they make use of algorithms, computer software, and in-depth knowledge of data to process the information they get into visuals that are easy to understand.

Without a doubt, they are experts who use their skills in both social science and technology to manage data and find trends. Having a contextual understanding of industry knowledge and skepticism of existing assumptions to provide solutions to business challenges.

Basically, you work with data that are messy from sources such as social media feeds, smart devices, and email, and then convert them into meaningful information.

Duties of a data scientist

As a data scientist, you will provide insights that are worth working on, to get a guide and insights to decide on marketing campaigns, product development, and supply chain design. Also, you will determine the characteristics of the number set, find their patterns, and derive trends using algorithms.

For instance, if a television company you work for, has many of their customers unsubscribed from their station within a month, you will take time to create an algorithm to review the data points that relate to why the customers leave the network.

Analyzing the data will disclose the age range of those who left the station, and find a lead as to why they left. Hence, providing solutions to keeping all customers on their service

Difference between Data Scientist and Data Analyst
Oftentimes, people do not know the difference between a data scientist and a data analyst. So, they use it interchangeably.

A data scientist uses advanced data techniques to deal with the unknown to predict the future. They can design a predictive modeling process or automates machine learning algorithms that can solve both unstructured and structured data.

However, data analysts use tools like a python programming language, SQL, R, statistical analysis, and data visualization software to solve business problems. They often work with structured data and collaborate with organization leaders to identify the information needed.

The job role of a data scientist is advanced compared to a data analyst

Job roles of a data scientist

There are many job roles of a data scientist but here is a list of the common ones

  • Data Scientist
  • Data entry clerk
  • Business analyst
  • Data analyst
  • Data architect
  • Statistician
  • Researcher
  • Data and Analytics Manager
  • Machine Learning Engineer
  • Quantitative Analyst
  • Data engineer Database administrator

How to Become a Data Scientist in Canada in 5Steps

Here are the steps on how to become a data scientist in Canada. There’re literally five steps, so pay attention to every section

Step one: Earn a degree

The first step to becoming a data scientist in Canada is working towards earning a degree after you graduate from secondary school or college. Once you register for a bachelor’s degree in data science or related courses, not only should you focus on developing fundamental data Science principles alone but also develop a network of connections to make your career after education easy.

Basically, completing a four-year bachelor’s degree in mathematics, computer science, or business is the common path students take. However, a degree in computer science or data science is the most common bachelor’s specialization for data scientists because of the specialization of data science.

Your first degree will help you gain entry-level jobs to perform a data analyst role, but gaining more qualifications will help you land a better data scientist position. During your program, you will learn the fundamental skills of big data platforms, software engineering, data visualization and reporting, research, etc.

It is highly recommended that students gain a master’s degree in data analytics or data Science which can take a maximum of three years to complete. Taking your education a step further will help you learn more about presenting a large group of data, advanced methods of analyzing, etc.

Step two: Specialize in a field

Without a doubt, there are many career fields and specializations in data science. So, once you have your degree you can consider specializing in a particular area. The specialization will direct your career into the particular industry that appeals to you. The specialization can be in research, artificial intelligence, machine learning, or database management.

Step three: Build your resume and cover letter

The next step in how to become a data scientist in Canada is to build your resume and cover letter. You should begin to construct your cover letter and resume right away, once you know the industry you would like to work in.

Your resume should contain information about yourself, your skills, education, and experience. You can also include your references. Your cover letter is different from your resume because its purpose is to motivate your employers and hiring manager to review your resume.

Your cover letter must include the role you are seeking to pursue and the context of your application. Also, you must give reasons why you are the best person for the job role.

Note that your cover letter should be direct, professional, and succinct. Keep your letter between 300 to 500 words. Don’t make the mistake of repeating the information in your resume and avoid a generic cover letter.

Step four: Start with an entry-level job

Once you have your degree and built your resume and cover letter appropriately, then you can start searching for employment. Without a doubt, data scientist positions are on different job search websites and online job boards. You can also use the various connections you have from your secondary and post-secondary school, and be ready to apply for as many jobs as possible

If you have a master’s degree, you will have an opportunity for a wide variety of roles but with a bachelor’s degree, you will only get an entry-level job. You can create a portfolio of your past projects online where you display the project you accomplished in entry-level data science jobs, in your leisure time, or during your post-secondary institution.

Step five: Seek advancement in your career

As you move higher in your job position, you should develop interpersonal skills such as leadership, communication, and organization which will help you soar in your career. Basically, there are many opportunities in project management or team leadership where you can gain chances for promotion. So, we have to be cognizance of this part to help you advance In your career

Skills needed to be a data scientist

Knowing how to become a data scientist in Canada is crucial, that is why you must possess certain skills that will help you fit into the job. Here are some of the skills you need to succeed

# Artificial intelligence

As a data scientist, you must have accurate knowledge of natural language processing, machine learning, and computer. You can also consider a modern computational approach

# Mathematics and statistics

To be successful as a scientist you must have a good grounding in probability, hypothesis testing, and Bayesian statistics

# Domain knowledge

Domain knowledge and application are important. You must adequately understand it and apply it likewise to real-life and data-based issues

# Distributed processing

You must have adequate knowledge of how to split large data processing tasks that are available to several machines

# Data presentation and visualization

You must be able to present and visualize the findings you made from the data. The ability to communicate your findings in a succinct and comprehensible way will make you an outstanding data scientist in Canada

# Formulating problems

You will have to find commonalities in data that different persons bypass, to propose and test the hypothesis.

Frequently Asked Questions

Is Data Science a good career in Canada?

Being a data scientist is one of the most promising careers with the highest paid salary in Canada.

Which province is best for a data scientist in Canada?

Basically, all provinces in Canada appreciate data scientists. However, Vancouver offers the highest pay for a data scientist.

What is the least degree that an individual should have to become a data scientist?

The least qualification you can have to become a data scientist in Canada is a bachelor’s degree in data science or computer-related courses.

Conclusion

Data science is one of the highest-paying jobs in Canada. It requires a form of intelligence and the ability to solve data. We have provided the info on how to become a data scientist in Canada, as well as the skills needed to be successful at it

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