11 Courses to Learn Data Analytics and BI in Alberta (2022)

Data, data, data… it seems to be what everyone is talking about these days.

A quick Google search will lead to many results as to why Data Analytics is important. While writing this blog post, the top google search I had on this topic brought up the following

Data analytics is important because it helps businesses optimize their performances. Implementing it into the business model means companies can help reduce costs by identifying more efficient ways of doing business and by storing large amounts of data.

A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new—and better—products and services.

Why Data Analytics Matters

It’s no wonder then why so many employers are looking for people skilled in Data Analytics and hence why so many post-secondary institutions are beginning to offer courses related to this field.

If you are interested in a career transition into Data Analytics, or are looking for professional development opportunities in this area and are looking for an accredited program designed to complement the schooling you already possess, you have come to the right place.

For this blog, we have chosen to focus on post-secondary institutions in Calgary and Edmonton. We know these cities well due to our that we facilitate in both cities. However, in the future, we are also excited to talk about other post-secondary institutions across Canada offering courses in Data Analytics.

11 Courses to Learn Data Analytics and BI in Alberta (1)

Southern Alberta Institute of Technology (SAIT)

Business Intelligence Data Analysis and Reporting

Details: Twenty-four weeks, Full time, Fast track, Certificate

This course aims to helps students build a career in Business Intelligence by guiding learners to develop, analyze, and administer corporate data which allows businesses and organizations to make better decisions.

One of the ways that SAIT helps students accomplish this goal is by teaching them to use databases and reporting tools that are critical for business success. Students learn to use Microsoft SQL Server and B.I. toolset which gives students the critical skills needed to develop, administer, and analyze corporate data.

11 Courses to Learn Data Analytics and BI in Alberta (2)

Bow Valley College (BVC)

Data Management and Analytics

Details: Two-term, Full time, Post-Baccalaureate Certificate

This programprepares learners to uncover insights from unstructured data sets to inform data-driven decision making. Learners will determine data requirements, plan for the data life cycle, model data, and use information technology tools to gather data and interpret results.

(Video) Learn data analytics skills in 3 months, step by step | Complete data analyst roadmap in 2022

Graduates will have experience with relational database systems, data warehousing, data quality improvement, and visual analytics, along with an introduction to working with big data. Graduates will be able to design data analytics projects to help organizations across sectors make informed and actionable decisions.

Resolving real-life business and organizational challenges is central to the project work done in this course.

11 Courses to Learn Data Analytics and BI in Alberta (3)

University of Calgary (UofC)

Data Science and Analytics

Faculty of Science, Professional Programs

The Data Science and Analytics Program at the University of Calgary is unique in that it allows you to choose how you would like to achieve the Masters of Data Science. For a full understanding of how long this program will take, visit the U of C FAQ page.

Masters of Data Science and Analytics (MDSA)

Details: 1 Year, Full Time, Masters Degree

The MDSA requires 36 units of coursework, including a 6-unit internship. You will be able to choose one of the following three specializations: (1) Business Analytics, (2) Data Science, or (3) Health Data Science and Biostatistics.

Whether you want to enhance your analytical skillset, refresh your skills, or expand your career, the University of Calgary’s Master of Data and Analytics will get you there. This unique graduate degree combines technical knowledge and a hands-on learning experience that will prepare you to take your career to new heights in today’s data-driven world.

Graduate Certificate in Fundamental Data Science and Analytics

Details: 4 months, Full-time, Certificate Course

The certificate program consists of four intensive courses and will expose you to all phases of the Data Science and Analytics Pipeline

With the Certificate in Fundamental Data Science and Analytics, you gain the necessary knowledge base and useful skills to manage large data sets and present real-world data analytics challenges with the use of statistical modeling and data visualization tools.

The Certificate in Fundamental Data Science and Analytics will count for credit toward the Diploma in Data Science and Analytics, where you may choose to specialize in business analytics, data science, or health data science and biostatistics.

The diploma program is for students who have completed the certificate and will add 4 courses of specialized study.

Graduate Diploma in Data Science and Analytics

Details: 8 months, Full-time, Diploma

The University of Calgary offers a diploma with three unique specializations in Data Science and Analytics to prepare you for a job in these emerging fields:Data Science,Business Analytics, andHealth Data Science & Biostatistics.

Data scientists are primarily concerned with generating actionable information in the form of data, whereas a business analyst uses that information to generate insights about the business and make data-driven decisions. The diploma in Data Science and Analytics with a Specialization in Data Science is offered by the Faculty of Science.

The Diploma in Data Science and Analytics with a Specialization in Business Analytics is offered by the Haskayne School of Business, and theDiploma in Data Science and Analytics with a Specialization in Health Data Science. Biostatistics is offered by the Cumming School of Medicine.

Business Intelligence and Analytics Certificate

Details: 240 Hours, Part-time, Certificate

Business Intelligence (BI) is the field of combining data, technology, business processes, and analytics to optimize business decisions and drive success. BI has become a technological priority for organizations, and its tools, approaches, and methods are quickly becoming valued skillsets. Turning your data into valuable information is no longer a luxury — it is a necessity for our ever-changing markets. This program offers in-class or online delivery/

The Certificate in Business Intelligence and Analytics focuses on the four pillars of the BI Body of Knowledge: people, process, technology, and data. The four core courses will provide you with the fundamental knowledge and exposure to the technologies and processes essential to any BI project. You will learn to execute each stage of a project, from requirements gathering to the actual development of your solution, to exposing the data within your organization.

11 Courses to Learn Data Analytics and BI in Alberta (4)

Northern Alberta Institute of Technology (NAIT)

Data Science Certificate

Details: Flexible Time Frame, Part-time, Certificate

The purpose of this course is to jumpstart an individual’s career in Data Science and explore the concepts of big data, data analysis, and information visualization. In its own right, Data Science is a rapidly growing field that derives its strategies from computing, statistics, and business.

A Data Science certificate is awarded upon successful completion of the 6 core courses.

You will learn how to manipulate data and wrangle large data sets. Discover how to set up and implement machine learning experiments that provide robust business value including more advanced subjects like Deep Learning. With the use of Python programming language, learn about data management software such as pandas, Tableau, matpltlib, scikit-learn, and TensorFlow.

Business Intelligence and Data Management Certificate

Details: Flexible Time Frame, Part-time, Certificate

A Business Intelligence & Data Management Certificate will be awarded upon completion of the program’s 6 courses.

Business Intelligence (BI) helps Enterprises succeed in today’s competitive environment. However, Implementing BI solutions is a complex endeavor. This course helps learners discover why BI projects are unique, their impact on business, and what decision-makers need to consider before implementation.

(Video) Top Colleges in Canada offering PG Diploma programs in Data Analytics

You will get to investigate the challenges related to people, processes, and managing large amounts of data and learn how to overcome them. Get familiar with Big Data utilization and Cloud technologies.

As more organizations begin or enhance their analytics journey, they need to plan how they will apply best practices of Data Management to ensure that analytics is supported by a robust collection of quality and richly managed data. Learn about Data Management principles, data-driven use cases for end-users while complying with enterprise governance, and leveraging large volumes of facts for trend analysis.

Business Intelligence and Analytics Certificate

Details: Flexible Time Frame, Part-time, Certificate

A Business Intelligence and Analytics Certificate will be awarded upon completion of the 6 core courses.

This certificate program is a technical stream designed for business intelligence and analytics practitioners as well as data architects and data scientists.

In the Business Intelligence and Analytics certificate program, learners will discover business concepts, best industry practices, and leading-edge technologies you can implement to deliver successful business intelligence and analytics solutions.

11 Courses to Learn Data Analytics and BI in Alberta (5)

University of Alberta (UofA)

Course Series in Analytics for Business

Faculty of Extension, Continuing Education in Technology

Details: 3 months, Part-time, Certificate

In-class or online study tailored for business analysts, content developers, business advisors, marketing specialists, project managers. This course can be completed in 3 months. Please see the 2020/2021 Schedule at a Glance for more information.

This series is designed for mid-level management who are developing and implementing new business analytics within their organization. Learners may come from a wide range of employment sectors including private, governmental, and educational organizations.

In the Analytics for Business series, you will acquire an overall understanding of analytics and how you can apply it to improve decision making within your organization. Through a set of three workshops, you will examine the key concepts and the unique skills required to develop and execute strategies in business analytics.

Course Series in Data Science

Faculty of Extension, Continuing Education in Technology

Details: 6 months, Part-time, Certificate

In-class or online study tailored for data scientists, this three-course series covers topics such as probability and data distributions, descriptive and inferential statistics, multivariate statistical tools, and R Language.

All courses will be introductory to demystify programming language and statistics and have a focus on understanding rather than simply applying concepts and tools.

This series is comprised of three three-day courses, each of them designated to stand along in providing specific data science skills. Courses can also be taken together to provide learners with a comprehensive data science skillset.

This is not an extensive list of all the courses offered in the field of Data Analytics in Calgary and Edmonton. Hopefully, it opened your eyes to the many different areas that fall under the scope of Data Analytics.

Please take your time and go through each course offering in detail through the links provided to ensure you research the program that best suits your specific needs.

We hope you enjoyed this blog, and if you know of any other programs in the areas that we may have missed, we would love to hear from you!

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Keep Me Updated


Is data analytics a difficult course? ›

Data analysis is neither a “hard” nor “soft” skill but is instead a process that involves a combination of both. Some of the technical skills that a data analyst must know include programming languages like Python, database tools like Excel, and data visualization tools like Tableau.

Which is the best course for data analytics? ›

  1. CareerFoundry Data Analytics Program. ...
  2. Springboard Data Analytics Career Track. ...
  3. Wharton Business Analytics Online Certificate Program. ...
  4. Cloudera Data Analyst Training Course and Certification. ...
  5. BrainStation Data Analytics Certificate. ...
  6. Harvard University Business Analytics Course. ...
  7. Thinkful Data Analytics Immersion Course.
21 Sept 2022

Can I learn data analytics on my own? ›

Yes, you can learn the fundamentals of data analysis on your own.

Which data analytics certification is best for beginners? ›

Best Data Analytics Certification for Beginners
  • Google Data Analytics Professional Certificate– Coursera.
  • Intro to Data Analysis– Udacity.
  • Data Analyst with Python– DataCamp.
  • IBM Data Analyst Professional Certificate– Coursera.
  • Excel to MySQL: Analytic Techniques for Business Specialization– Coursera.

Is data analytics a lot of math? ›

As with any scientific career, data analysts require a strong grounding in mathematics to succeed. It may be necessary to review and, if necessary, improve your math skills before learning how to become a data analyst.

Is data analytics math heavy? ›

While data analysts need to be good with numbers, and a foundational knowledge of Math and Statistics can be helpful, much of data analysis is just following a set of logical steps. As such, people can succeed in this domain without much mathematical knowledge.

Can I become data analyst in 3 months? ›

Can I become data analyst in 3 months? Ans: Make the most of your three months and learn everything you can. Because time is limited, the emphasis should be on learning Excel, SQL, R/ Python, Tableau/ PowerBI, and ML if time allows. Investing your time in projects will also give you an advantage when applying for jobs.

How many months course is data analytics? ›

This is your path to a career in data analytics. In this program, you'll learn in-demand skills that will have you job-ready in less than 6 months.

How do I become a data analyst with no experience? ›

How do I become a data analyst? A step-by-step guide
  1. Get a foundational education. ...
  2. Build your technical skills. ...
  3. Work on projects with real data. ...
  4. Develop a portfolio of your work. ...
  5. Practice presenting your findings. ...
  6. Get an entry-level data analyst job. ...
  7. Consider certification or an advanced degree.
23 Sept 2022

Can I become data analyst in 1 month? ›

Remember, data analysis is a field that people spend their entire lives trying to learn. Even the individual skills required to become an analyst can take a lifetime to learn, so it is impossible to master in just a few months.

How long will it take me to learn data analytics? ›

Depending on the individual's learning pace, it may take you around six months to learn data analytics.

Is data analytics a stressful job? ›

Several data professionals have defined data analytics as a stressful career. So, if you are someone planning on taking up data analytics and science as a career, it is high time that you rethink and make an informed decision.

Do I need coding skills for data analytics? ›

While knowing how to code and knowing a programming language or three is essential to being a data analyst, coding for data analytics doesn't require the same depth of knowledge required for a degree in computer science.

What is a data analyst salary? ›

Average £36,686 per year.

Can I become a data analyst without a degree? ›

You don't need a full-blown degree to become a data analyst, but you do need a structured and formal approach to learning the necessary skills. The best (and most flexible) way to do so is through a project-based course.

Can I be a data analyst if I hate math? ›

One popular question that we always get asked is: “Dr. Lau, can I become a data scientist or data analyst if I am not good with math or statistics?” Well, Dr. Lau's reply is always yes you can.

Can I do data analytics without maths? ›

Data science careers require mathematical study because machine learning algorithms, and performing analyses and discovering insights from data require math. While math will not be the only requirement for your educational and career path in data science, but it's often one of the most important.

What kind of math is used in data analytics? ›

The fundamental pillars of mathematics that you will use daily as a data analyst is linear algebra, probability, and statistics. Probability and statistics are the backbone of data analysis and will allow you to complete more than 70% of the daily requirements of a data analyst (position and industry dependent).

Do you need to be good at math for business analytics? ›

Contrary to popular belief, business analytics does not involve extensive coding, math, or knowledge of computer science. It's a great career fit for those who enjoy solving complex problems and offering practical conclusions based on real business data.

How do beginners learn data analytics? ›

Hard skills needed to become a data analyst
  1. Demonstrable knowledge in programming and querying languages, such as Python and SQL.
  2. Demonstrable proficiency in business intelligence and data analytics software, which may include RapidMiner, Tableau, and SAS.
  3. Solid understanding of each step of the data analysis process.
9 Dec 2021

What qualifications do I need for a data analyst? ›

To become a data analyst, candidates need to hold a bachelor's degree preferrably in Information Technology, Computer Science, Maths, or Statistics with a minimum of 50% marks from any recognized University.

How many days a week do data analysts work? ›

Generally speaking, Data Analysts can expect to work between 40 and 60 hours a week, typically on a Monday through Friday schedule, which would correspond with the hours the business or company is open. This often means a 9-5 or 8-6 day.

Can I become data analyst in 1 year? ›

The factors above impact how long it will take you to become a data analyst. It could take as short as a few months, especially if you already have a relevant background and starting point. However, if you're starting from scratch and going to college to earn a degree in this field, it could take you a few years.

Can I become data analyst in 6 months? ›

With the right program, you can obtain your Tableau certification in just 6 months. While working through your Tableau course, we also recommend studying SQL. This common programming language is an essential skill for data analysts and is easy to learn.

What are the subjects in data analytics? ›

Hence, the essential Data Analytics subjects include Probability and Statistics, Data Structures and Algorithms, Data Simulation, Data Collection, and similar.

Is it too late to become a data analyst? ›

So despite industry ageism, a recent study by Zippia showed that the average age of data analysts in the U.S. is 43 years old. This takes us back to our titular question: are you too old to start a new career in data analytics? The short answer, in our opinion, is no.

Where can I learn data analysis for free? ›

4. The best free data analytics courses available right now
  • CareerFoundry.
  • Datacamp.
  • OpenLearn.
  • Harvard.
  • Coursera.
  • Udemy.
  • Dataquest.
3 Jan 2022

Can I be a data analyst with just Excel? ›

A: Data analysts commonly use spreadsheet programs such as Microsoft Excel or Google Sheets to organize and analyze data. They may also use statistical analysis software, such as SAS or SPSS, to conduct more complex analyses.

What do data analysts do all day? ›

A data analyst reviews data to identify key insights into a business's customers and ways the data can be used to solve problems. They also communicate this information to company leadership and other stakeholders.

Do data analyst work long hours? ›

As a data analyst, you should expect to work regular business hours in a week. Typically, this can be from 40 to 60 hours per week.

Can you make a lot of money as a data analyst? ›

Do Data Analysts Make Good Money? Yes, data analysts do make a lot of money. According to the Bureau of Labor Statistics (BLS), the average salary across all occupations in the US is $58,260. The average salary of a data analyst is well above that.

Do I need to know Python to become a data analyst? ›

The key difference between a data analyst and a data scientist is the required coding experience. For a data analyst to begin earning around $50,000/year, all they must do is learn SQL and Python. Even better, you can learn how to code pretty quickly.

How much does a data analyst make in Canada? ›

The average data analyst salary in Canada is $68,728 per year or $35.25 per hour.

Can anyone become data analyst? ›

Most entry-level data analyst jobs require a bachelor's degree, according to the US Bureau of Labor Statistics [1]. It's possible to develop your data analysis skills—and potentially land a job—without a degree. But earning one gives you a structured way to build skills and network with professionals in the field.

What is the lowest salary for a data analyst? ›

How much does a Data Analyst make in the United States? The average Data Analyst salary in the United States is $81,719 as of , but the salary range typically falls between $73,002 and $91,552.

Which company pays best for data analyst? ›

Top ten data science companies paying fortunes to data analysts in 2022
  • Tableau. Tableau is one of the top data science companies offering a fortune to data analysts. ...
  • Accenture. ...
  • Fractal Analytics. ...
  • Mu Sigma. ...
  • iTechArt. ...
  • HData Systems. ...
  • TCS. ...
  • Salesforce.
7 Aug 2022

How much do junior data analysts make? ›

How much does a Junior Data Analyst make? The average Junior Data Analyst salary is $56,900 as of October 27, 2022, but the salary range typically falls between $50,001 and $65,447.

Can you do data analytics without coding? ›

Data analysts do not require a very advanced level of coding, instead they need enough coding knowledge to transform, manipulate and visualize data.

What is required to learn data analytics? ›

A data analyst must be able to create different business reports using several data visualization tools. You should know to use tools like Tableau, QlikView, and Power BI. In addition to that, you must have good communication and presentation skills too. This will help you convey your ideas to stakeholders and clients.

Is it too late to learn data analytics? ›

So despite industry ageism, a recent study by Zippia showed that the average age of data analysts in the U.S. is 43 years old. This takes us back to our titular question: are you too old to start a new career in data analytics? The short answer, in our opinion, is no.

Does data analytics require coding? ›

Some Data Analysts do have to code as part of their day-to-day work, but coding skills are not typically required for jobs in data analysis.

Can a non IT person learn data analytics? ›

The most important trait among data scientists aren't technical degrees, or the amount of time spent in school. It's the curiosity that pulls them to hard problems and pulls out solutions and new insights from old datasets. You can get into data science from a non-technical background and do the same thing.

Can I learn Data Analytics for free? ›


The Introduction to Data Analytics Course offers a free course for beginners looking to become data analysts or analytics managers. Its free Google Analytics Training Course for Beginners helps you learn to set up a Google Analytics account and understand the metrics in digital marketing.

Do I need a degree to be a data analyst? ›

Yes, a bachelor's degree is the minimum requirement for nearly all data analyst positions.

Can I become a data analyst at age 50? ›

You can become a data scientist at any age if you're willing to put in the work.

Can I become data analyst at the age of 30? ›

Ironically, age is essential in the field of data analysis. The confidence that comes with maturity is the first thing that will catch your notice. Age brings wisdom, experience, and confidence, and advancing in your work can assist a lot. By the term “older,” here we refer to the category of 30+.

Which language is used for data analytics? ›

Python. Python is the most widely used data science programming language in the world today.

Do data analysts make good money? ›

What is an average data analyst's salary? The average base pay for a data analyst in the United States in December 2022 is $63,865, according to job listing site Glassdoor [1].


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