Learn Data Analytics: Courses & Training in Toronto and Online
Data Analytics Course
Live Online Course 
8 Weeks Part-Time
Learn to analyze data with our online data analytics course for beginners. Through hands-on training, you'll gain a foundational understanding of in-demand data tools and the confidence to apply them in your everyday work.
Download the course package to discover:
- Financing Options
- Course Syllabus
- Course Projects
What you'll learn
Available Live Online or In-Person in Toronto, our Data Analytics course is your beginner-friendly introduction to data. Through a perfect blend of interactive lessons and hands-on training, you’ll master the fundamentals of data analysis and explore industry-leading tools and languages. Through practical exercises, one-on-one mentorship, and building portfolio-worthy projects, you'll solidify vital skills, such as:
Organizing and analyzing data with Google Sheets
Making charts and visualizations with spreadsheets
Writing database queries using SQL
Creating stunning dashboards using Tableau
Telling compelling stories using data
Plus: An introduction to using Python for data analysis
Book An Advising Appointment
Our Student Success Team is here to support you through your learning journey! Get in touch below to receive a custom plan for your goals.
Course Projects
You'll design, develop, and publish a portfolio-worthy data analysis dashboard.
![Running Tracker]()
Running Tracker
View Live
For this Data Analytics project, Ben used his new skills to analyze his running in 2019. Turns out he ran over 5,000 KM in 10 different countries! To build this project, first he exported all of his running data from his sports watch and imported it into Google Sheets. Then he cleaned and validated the data, and imported it into Tableau to create the visuals, exploring topics like where he ran, what were the longest runs, and how much time he spent running.
![Using Data Analysis for Detecting Credit Card Fraud]()
Using Data Analysis for Detecting Credit Card Fraud
For this project in our Data Analytics course, you’ll imagine that you have been hired as a data analyst to work in the credit card division of a bank. Your assignment will be to join your team in using data analysis for the early detection and reduction of credit card fraud. You’ll identify and gather all data points from a provided set of data, clean the data, decide on key findings, and create appropriate visualizations to communicate insights to your audience. Once completed with instructor feedback, this portfolio-worthy project will be an impressive way to showcase your new data analytics skills.
![World Happiness Correlations]()
World Happiness Correlations
View LiveThis Data Analytics project uses Excel and Tableau to look at how several different variables correlate with happiness in countries of the world. Lorien focused on variables that relate to women's rights: number of babies per woman and percentage of national parliamentary seats held by women. The project also ties these variables to the income level of the country.
![Aircraft and Wildlife Collisions as Reported by the FAA]()
Aircraft and Wildlife Collisions as Reported by the FAA
View LiveFor this Data Analytics project, Spring used Google Sheets, SQL, and Tableau to explore the correlations between the rates of wildlife collisions and factors such as time of day, time of year, and geographical regions. With this information, airlines could attempt to minimize future incidents.
![Can underlying stats predict success in the NHL?]()
Can underlying stats predict success in the NHL?
View LiveAndrew was excited to tap into his inner sports fan for this Data Analytics project! Using SQL and Tableau, Andrew visualized data that supports why NHL teams win games, from puck possession to pure luck, and more.
Dates & Costs
Part-Time
48 hours over 8 weeks
Learn on evenings or weekends in our signature 8-week format, designed to fit within a busy schedule.
There are currently no courses scheduled. Please check back soon!
Pricing
$2,000 $995 + HST*
*Get 50% off all our March/April courses! For more funding options, check out our Financing Guide.
What people are saying about Juno
![Rye]()
I have loved connecting with some of my co-workers through this class honestly, we would have never met otherwise as we are in different parts of the company. Other than that, I've really enjoyed just learning HOW to tell a story, I spent a lot of time working on my final project and it really helped solidify some of the concepts for me better. I will be able to use this at work and hopefully to find a different role. I also really enjoyed Carlos as an instructor, he never made us feel bad or dumb and was patient to explain things.
Rye
Course Taken:
Data Analytics
![Kevin Ly]()
I really appreciated the lessons and topics covered: SQL, Tableau, and some of the Google/Excel formulas will be very helpful for me as I look into a career in data analytics. I thought also that the learning experience was inclusive: there were opportunities provided for people, like myself, to work alone, and also to share ideas and input, considering all of our individual needs. The instructor and teaching assistant were also very supportive and quick to respond to queries I had.
Kevin Ly
Course Taken:
Data Analytics
![Katie Laliberte]()
I signed up for Juno College's Data Analytics course to help me in a new role, to ensure that I could pull the reports I needed to do my job. The best part was I found I could start using skills even while I was in the class. It's pretty great!
Katie Laliberte
Course Taken:
Data Analytics
![Amanda]()
My goal was to refresh Excel skills, and gain some further knowledge within SQL, and learn new items like Tableau and a bit of Python, and this course gave me exactly that! I thoroughly enjoyed this course, and although I am not looking for a career in Data Analytics, I will definitely benefit from the knowledge I learned in this course in my current job.
Amanda
Course Taken:
Data Analytics
![Rye]()
I have loved connecting with some of my co-workers through this class honestly, we would have never met otherwise as we are in different parts of the company. Other than that, I've really enjoyed just learning HOW to tell a story, I spent a lot of time working on my final project and it really helped solidify some of the concepts for me better. I will be able to use this at work and hopefully to find a different role. I also really enjoyed Carlos as an instructor, he never made us feel bad or dumb and was patient to explain things.
Rye
Course Taken:
Data Analytics
Your Data Analytics Journey Starts Here
Our Course Package contains everything you need to know about this exciting course, including:
- Course syllabus and detailed class overview
- A breakdown of costs
- Overview of the Juno community and what your experience will be like
- What your next steps should be
Data Analytics FAQs
Data Analytics is a beginner-friendly course for problem-solvers who want to learn how to make more informed and strategic decisions in their daily work. No matter your role or skill level, chances are you're already working with data more than you think! Knowing how to harness the power of data can help you automate workflows, better understand your audience, cut operational costs, and make you a more valuable team member.
This course is a great starting point for those looking to level up at work, or those considering making a career change into the booming field of data.
Data Analytics is an entry-level course, so no coding experience is necessary! That said, having existing coding or spreadsheet knowledge will likely make it easier for you to grasp some key data analytics concepts.
Yes! At Juno, we believe in making tech accessible for everyone, so that we can help diversify the tech industry.
We don't want financing to hold you back from learning with us — that's why our financing options but you first, like our scholarships and our Income Share Agreements for our Bootcamps. Download our Financing Info Package here to learn more.
If you're looking for more financing options, you can also read our post here on 10 Creative Ways to Pay for Your Education.
You'll need a laptop for every class! If you are unable to provide your own, we offer a limited number of Macbooks for rent for our In-Person classes, at a rate of $100/month plus HST with a refundable security deposit of $250. Please let us know as soon as possible if you require a laptop rental.
To participate in our Live Online courses, you must have:
- A computer with working speakers and microphone — a laptop or desktop computer is fine!
- A modern operating system - MacOS 10 or higher, Windows 7 or higher, or equivalent. We recommmend you use:
- An Apple laptop newer than 6 years old running one of the 3 most recent major releases of MacOS (currently: 10.14 (Mojave) or newer)
- A PC laptop newer than 4 years old running Windows 10
- A strong and consistent internet connection: at least 10Mbps download and 5Mbps upload — you can check your speeds for free here!
Machines outside these parameters may still work, but might have issues running the software and tooling needed to complete coursework. Juno will only be able to provide limited support to older computers, OS versions, and other operating systems not listed above (e.g. Linux). At this time, laptops running ChromeOS (“Chromebooks”) don’t easily run the software and tools we need for coursework at Juno, and cannot be used with our courses.
To make the most of your Live Online experience, we also recommend:
- A working web cam (it doesn’t have to be the greatest quality)!
- An external monitor if you're using a laptop, or a secondary monitor if you're using a desktop computer
- A comfortable desk and chair
- Noise-cancelling headphones
- A positive attitude!
Students who complete our Bootcamp programs will receive a certificate.
We don't provide certificates for our part-time courses, but we’re happy to provide a letter of completion — just email our Student Experience Consultant at the end of your course!
This course is intended to teach you foundational skills in data analytics, and introduce you to core data concepts that will help you level up in your current role. If you're looking to make a career change into data, this is a great launchpad!
There are no instructor-led classes on Fridays. For Full-Time programs, Fridays are self-directed, meaning that we ask that all Full-Time students dedicate Fridays to practicing critical independent work skills such as reviewing class notes, working on projects, or prepping for the week ahead. This ensures that students can wrap up every week of class confidently!
Yes! This course was previously called Data Foundations, and renamed Data Analytics in 2020. The course content is still very similar, and we've evolved the course title to better describe the content of the course and reach people who are looking to learn about Data Analytics.