Data Science for Career Changers- How an Online MS May Be What You Need

Exploring opportunities in data science for career changers in Canada? There is a fast-growing demand for data science professionals throughout Canada. Several people have also successfully transitioned into data science careers from diverse areas, including healthcare, hospitality, marketing, finance, and more, over the years.

The Government of Canada’s Job Bank forecasts demand for 29,300 database analysts and data administrators in the coming decade. The country reportedly faces a shortage of 19,000 professionals with data and analytical skills. It also needs 150,000 with deep analytical literacy, according to reports. This is expected to fuel a higher demand for data scientists in Canada in the future. Let us learn how an online MS in data science can help you make a successful transition.

Data Science for Career Changers in Canada: Why an Online MS Makes Sense

An online MS in data science will help bridge the gap if you’re looking to switch to new data science job opportunities. Here are some key aspects.

Why Data Science Appeals to Career Changers

There are several reasons why data science appeals to career changers, including:

Soaring Demand: There is a sizable demand for data science professionals, and the growing number of data scientist jobs in Canada testifies to this.
Remuneration & Diversity: Attractive salaries for skilled professionals and opportunities in almost every industry, ranging from finance and manufacturing to technology and healthcare. This enables career changers to leverage existing knowledge and experiences when transitioning to data-based job roles.
Continuous Learning and Transferable Skills: Data science is a dynamically evolving field, with new techniques and technologies emerging regularly. Career changers relish the opportunity to keep growing and learning. They already possess transferable skills, such as problem-solving, analytical thinking, and communication, which are highly relevant in the data science field.

What Skills You Need to Transition

Now that you know why it appeals to career changers, what are the skills you need to transition into jobs for data science majors successfully? Some of the important ones include:

Programming: You will need foundational knowledge in using Python and R for data analysis, manipulation, and model building.
Probability and Statistics: Hypothesis testing, statistical concepts, and probability distribution are key aspects worth learning.
Databases and Data Wrangling: Knowledge of SQL is vital for managing and querying data across relational databases.
Machine Learning: An understanding of machine learning algorithms, deep learning concepts, and model evaluation is also necessary.
Data Visualization: You should know how to create visualizations with tools like Power BI, Tableau, or Matplotlib.
Cloud Computing: Knowledge of using Azure, AWS, and Google Cloud is vital for data processing, storage, and deployment.
Soft Skills: The field also requires additional skills, such as communication, business acumen, problem-solving, critical thinking, and teamwork.

How an Online MS Program Supports Career Switchers

An online MS program is helpful for career switchers in the following ways:

Helps you acquire technical skills and knowledge of programming languages, cloud computing platforms, machine learning algorithms, etc.
They offer extensive curricula that are aligned with industry needs and cover crucial topics like machine learning, data visualization, statistics, R, Python, and more.
You get exposure to real-world applications and needs through case studies, live sessions, practical projects, and group work.
These programs also help you advance your career with flexible learning modules. You can apply for higher-level positions, such as data analysts, data scientists, and even machine learning engineers, thereby increasing your opportunities and earning potential.
Many programs also offer opportunities for industry and professional networking, along with career support and mentorship.
They bridge the gap between non-technical backgrounds and the technical needs of data science roles.

Canadian Job Market Outlook for Data Science

Data science for career changers is a good move, considering the positive market outlook in Canada. Here are some key aspects worth noting in this regard.

Data science jobs are projected to grow by 36% from 2023 to 2033, according to forecasts.
There is a massive demand for data scientists in the technology, healthcare, finance, and government sectors.
Digital transformation across various Canadian industries, combined with the rapid adoption of machine learning and artificial intelligence, will fuel further demand for data scientists.
Vancouver, Toronto, Calgary, Montreal, and Ottawa are the current hubs for data science job opportunities in Canada.
Canada’s technology sector saw an increase of 11% in job postings for data scientists last year.
The average salary for data scientists in the country increased by 8% in 2024.
Vancouver and Toronto are among the top 20 global cities for data science careers.

Real Stories of Successful Career Transitions

You don’t have to look too far for inspiration! Several real-life career changers have embraced data science for a more fulfilling professional journey. Some of them include:

A hospitality manager transitioned into a data analyst role after the pandemic. He could leverage his existing knowledge of statistics while pursuing online data science courses.
Another person without any technical experience successfully took up a data engineer position at Genpact after completing micro-learning courses in data science and Python.
A former Miss World runner-up model switched from diplomacy and pageantry to the banking and IT sector. She learned Python for finance and business analytics online and applied it to building a successful fintech career.

Also Read: Top Data Science Tools Every Canadian Professional Should Learn

Top Skills and Tools You’ll Learn in an Online MS in Data Science

Here is a guide to the top tools and skills you’ll learn while pursuing an online MS in data science.

Tool/Skill	Why It Matters
Python and R	Machine learning and programming for data analysis
SQL	Extracting and managing data from databases
Machine Learning	Building predictive models and automating insights
Statistics & Probability	Understanding patterns in data and making predictions
Git and GitHub	Version control and collaborative coding
Power BI or Tableau	Data visualization for business storytelling
Capstone Projects	Applying skills for real-world business problems

Some other skills you’ll need include:

Statistical concepts like probability, regression analysis, and hypothesis testing.
Machine learning algorithms (unsupervised and supervised learning techniques).
Data wrangling (cleaning, preparation, and transformation).
Knowledge of databases like SQL and NoSQL.
Big data techniques, such as Spark and Hadoop.
Cloud computing platforms, such as Azure, AWS, and Google Cloud.
NLP, deep learning (neural networks), and Matplotlib for data visualization.
Tools such as Scikit-learn, PyTorch, TensorFlow, MySQL, and PostgreSQL, among others.
Soft skills include problem-solving, critical thinking, logical reasoning, business acumen, and teamwork.

Also Read: Want to Be a Data Scientist in Canada? Here’s How to Do It Without a Master’s Degree

Explore Online MS Programs That Support Career Transitions with upGrad

upGrad offers cutting-edge online MS in data science programs that you can consider to advance your career in the field. Find programs from leading global universities along with generative AI-integrated curricula and industry-synced learning experiences. Learn flexibly at your pace along with getting exposure to case studies, real-world projects, and the latest data science and ML tools.

Here are some courses that you can consider:

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FAQs on Data Science for Career Changer

Q: What skills do I need to transition to a career in data science in Canada?
Ans: You will need mastery over programming languages like Python and R, along with knowledge of machine learning algorithms, databases, cloud computing platforms, and other technologies. Companies in Canada also look for employees with real-world project experience.

Q: How does an online MS compare to a boot camp for career changers?
Ans: Both of these programs have their benefits for specific sets of people. For instance, an online MS is a more extensive and valued qualification that will set you up for a full-time role in any industry. A boot camp is one of the numerous certifications you add to your portfolio over time.

Q: Do Canadian employers recognize an online MS in data science?
Ans: Yes, most Canadian employers recognize online MS in data science programs, as long as they are from an accredited and reputable institution. Ensure the curricula are aligned with Canadian industry requirements and include practical projects and hands-on learning modules.

Q: What certifications help boost my data science profile?
Ans: Various certifications may boost your data science profile in the Canadian job market. Some of them include AWS, Hadoop, Spark, Azure, MYSQL, PostgreSQL, Python, R, and Tableau or Power BI for data visualization.

Q: Can I work in data science remotely from Canada?
Remote jobs are available in Canada for data science professionals. Some companies may require professionals to be on-site, while others may be comfortable with flexible or remote working arrangements.