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Diploma Programs

8-Weeks Full-Time

18-Weeks Flexible

Online Data Analytics Program

The immersive education you want, the flexibility you need, and a rewarding career as a data analyst is just a click away.

Discover our Data Analytics Program.

Apply Now Download Curriculum

MEET YOUR INSTRUCTORS

Instructors are key to providing students with the best learning experience. That’s why our instructors are active professionals with years of industry experience in data analytics.

Brian Lynch

Ph.D Aerospace Engineering, M.A.Sci and B.Eng Aerospace Engineering

Beyond a strong passion for teaching, Brian brings over 15 years of post-secondary education and applied research experience. Apart from his education in aerospace engineering, he's also studied smart systems and robotics for autonomous planetary exploration. While his subject matter expertise lies in robotics, Brian is also adept at computer vision, data science, and machine learning. In addition to his work at Lighthouse Labs, he's currently a senior research scientist at Vineland Research and Innovation Centre.

Eithar Elbasheer

M. Data Science and BSc. Electronic Systems Software Engineering

With a background in engineering and years of experience working across diverse industries, a love for statistics and programming finally brought Eithar to the field of data science. After completing an intensive 10-month Master of Data Science at the University of British Columbia (UBC), she's been enjoying supporting students at Lighthouse Labs in understanding the background and applications data science tools.

Ali El-Kassas

BSc. Computer Science

Ali is an experienced data scientist, specializing in geospatial analysis and NLP, and mentor with a passion for teaching and sharing knowledge. Along with his industry experience, Ali has also conducted research in the field of deep learning and human-computer interaction (HCI), with a focus on model interpretability. He believes in the power of data science to drive positive change and is dedicated to sharing his expertise to inspire the next generation of data scientists.

WHAT DO DATA ANALYSTS DO?

The world of data analysts includes a whole range of specializations. Here are a few of them.

Data Analyst

Data Analysts work with technical resources to identify a stakeholder’s best approach using the right databases and tools. Working to make sense of large, unsorted amounts of data, analysts establish a workflow while working with the client to automate their processes.

Business Analyst

Business Analysts apply their knowledge of designing, developing, and testing software to evaluate an organization’s business and IT systems. They make recommendations to reduce inefficiencies and costs, and identify ways to streamline the business’ structure.

Marketing Analyst

Marketing Analysts gather, clean, and sort data to provide marketing insights to a company. They review marketing campaign results, use tools to understand current consumer trends, and research competitors to help the company improve their marketing efforts.

CHOOSE YOUR PATH TO A NEW CAREER FULL OF OPPORTUNITY.

With two different ways to study, you can get the education you need to launch a new career in tech at a pace and schedule that fits your life and learning style.

Full-Time | 8-Weeks

8-WEEK BOOTCAMP

5 LECTURES PER WEEK

~50HRS STUDY TIME PER WEEK

Flexible | 18-Weeks

18-WEEK FLEX PROGRAM

2 LECTURES PER WEEK

~22HRS STUDY TIME PER WEEK

Whether you take the 8-week Data Analytics Bootcamp or 18-Week Data Analyst Flex Program, you’ll graduate with a diploma and get the fundamental knowledge, real-world experience, and critical soft skills you need to launch a rewarding career as a data analyst. You’ll dive into setting up your data analytics environment, coding basics using Python, Git, and Jupyter, statistical modelling, data wrangling and visualization, and much more. Throughout your studies, you’ll also have access to on-demand mentorship from industry experts in addition to the full-support of our Student Success Coordinators and Career Services team.

Which Option is Right Icon
WHICH OPTION IS RIGHT FOR YOU

If you want to launch your new career as a data analyst as quickly as possible — opt for the Data Analytics Bootcamp. If you’re looking to balance your studies along with work, health and wellness, or caregiver duties — then Data Analytics Flex is the program for you.

But remember: the curriculum, the job outcomes, the objectives are all the same no matter which option you choose.

How You Learn Icon
HOW YOU'LL LEARN

Every week, Data Analytics Bootcamp students attend five weekday lectures while dedicating an extra 50 hours to work on projects, assignments and course collaborations. 

In contrast, those enrolled in the Data Analytics Flex Program are only required to attend two lectures a week. Students are also recommended to set aside an additional 22 hours every week to work on projects, assignments and course collaborations.

DATA ANALYTICS PILLARS
Data Visualization & Dashboards

Data Visualization & Dashboards

  • Tableau
  • Data Connectivity
  • Data Preparation
  • Storytelling with Data Design Principles
Code Fundamentals Icon

Code Fundamentals

  • Clean code that works
  • Python & Statistical Modelling
  • Industry-standard Frameworks and Libraries
  • Git, command line, and APIs
Data Soft Skills

Data Soft Skills

  • Communication and Presentation Skills for Technical and Non-Technical Audiences
  • Teamwork
  • Interview Skills
Data Analysis

Data Analysis

  • Extract-Transform-Load Process
  • SQL (PostgreSQL)
  • Data Manipulation
  • QA Processes
  • Data Ethics and Access
  • Pandas
  • NumPy

IN CASE IT WASN'T CLEAR:

No previous coding education or experience is required to attend Lighthouse Labs.

WHAT YOU WILL LEARN

  • Data Analytics Environment Icon

    Data Analytics Environment

    Learn to set up a data analytics environment on your own computer using Anaconda, VSCode, Virtual Environments, and Tableau.

  • Coding Icon

    Coding

    Learn the basics of programming, including Python, PostgreSQL, Git, and Jupyter Notebook.

  • Statistical Modelling Icon

    Statistical Modelling

    Use Python to apply relevant statistical models to data to make recommendations and support business decisions.

  • Data Wrangling Icon

    Data Wrangling

    Master the art of data manipulation and preparation for data analytics using Pandas, APIs, and ETL.

  • Databases Icon

    Databases

    Discover relational and non-relational databases with a focus on PostgreSQL and SQLite.

  • Data Visualization Icon

    Data Visualization

    Learn the principles of graphical integrity and the guidelines for visualization context with tools like Tableau, Matplotlib, Seaborn, Plotly, and Geopandas.

Curriculum Package

Inside Our Data Analytics Curriculum

Download our curriculum package for a more detailed look into our Data Analytics Program, educational philosophy, and how we support you throughout your learning journey and beyond.

Download Curriculum Package
Curriculum Package

A SUPPORT ECOSYSTEM THAT SETS YOU UP FOR SUCCESS.

More than just lectures. When you attend one of our programs, you get the full support of expert instructors, industry mentors, student success coordinators, and career advisors.

On-Demand Mentorship

On Demand Mentorship Icon

Mentorship is the backbone of our programs. If you’re stuck on a tricky assignment, you can count on our outstanding mentors to be there for you at the click of a button. As working industry professionals, our mentors are also key in building industry connections to support your future career success.

Proactive Student Support

Proactive Student Support Icon

Support from the day you apply to the day you graduate. We pride ourselves on our hands-on, proactive education approach. So, you can expect daily and weekly check-ins from Student Success Coordinators to track your progress and support your student experience.

Lifetime Career Support

Life-time Career Support Icon

From developing career plans tailored to your goals to sharpening your interviewing skills, reviewing your resume, and helping you navigate complex job markets, our expert Career Services team is at your disposal. Even years after graduating, you can always rely on us for professional advice, support, and resources.

Accessible Education

Accessible Education Icon

We’re committed to building a diverse and inclusive learning community. If you need help and support as a student, we’re here for you. Accessibility is not one-size-fits-all, so neither is your accommodation plan. We work with each student to develop personalized plans that support their individual needs.

Visit our Student Accessibility Services to learn more.

Engaging Community

Engaging Community Icon

With an active network of Lighthouse Labs graduates, there’s endless opportunities to learn, connect, and grow. As an alum, you remain an active part of our community. We regularly host Demo Days, guest speakers, and exclusive alumni events. On our Alumni Discord channel, you can keep in touch with your peers, organize educational and social events, and hear about recurring alum events.

Lifelong Learning

Lifelong Learning Icon

To ensure your success in an ever-changing landscape, our program sets you up with the tools you need to be a lifelong effective, adaptive, and curious learner throughout your career. That’s why you also get lifelong access to our cutting-edge learning platform and curriculum that stays on-top of the latest developments in tech.

Our students.

At Lighthouse Labs we are looking for a rare breed: someone who is seeking an opportunity for extraordinary growth, is ready to thrive in an intense learning environment, and LOVES data.

Above all we admire:
  • passion for coding

    Passion

    We believe that the best developers are passionate, lifelong learners. As for you: you see the program as more than just the means to an end, and it shows in your ever-growing list of side projects.

  • aptitude for coding

    Aptitude for data

    Some brains are just wired for data, no matter their previous exposure or education. You think in a logical, structured way that lends itself beautifully to a career as an analyst

  • developer grit

    Grit

    Becoming a data analyst is far from easy. Our program requires motivation, determination, hard work, and resilience. You're goal-oriented and have a solid idea of what you want to accomplish. You get it done.

  • coding culture fit

    Culture fit

    We're an array of personalities from every imaginable background, and the result is amazing. If you are kind, quick, and a little quirky, we will be fast friends.

Student Outcomes Report

Let the data (heh) speak for itself: access key insights about our bootcamp graduates. Learn about our industry-leading graduate employment rate, starting salaries, and more, throughout a year of economic strain and downturn.

Student Outcomes Report
Student Outcomes Report
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ADMISSIONS PROCESS.

Students put their trust in us, so we hold ourselves to the highest standards to ensure that everyone coming into our program is set up for success. Here’s our four step admission process:

Online Application Icon

1. Online Application

Arrow Pointing Right
Interview Icon

2. Interview

Arrow Pointing Right
Logic and Technical Tests Icon

3. Logic and Technical Tests

Arrow Pointing Right
Prep Modules Icon

4. Prep Modules

1. Here’s your opportunity to introduce yourself! Tell us about your work experience, education, interests, motivations, and goals. It only takes 5-10 minutes to complete an application and there’s no fees to apply! (P.S. The earlier you apply — the better. Aim for at least 6 weeks before your desired start date, it’ll give you more time to complete the Prep Modules.)

2. We want to meet you! This is also an opportunity for you to learn more about the program and ask us anything. We just want to get to know you more to ensure that our program is the right fit for you. We’re invested in your success from day one. (P.S. You have the option to book your interview during the application process! We’ll email you to book one later if you opt not to, no biggie!)

3. These online tests allow us to assess your critical thinking, problem-solving skills, and learning aptitude. Don’t worry — you don’t need any prior tech experience to do well on these tests or to be successful in our program.

4. Once you’ve been accepted, there’s a bit of homework you need to complete before the first day of class. The prep modules sets you up for success — it equips every student with the same technical skills and foundation before the program begins.

ADMISSIONS PROCESS.

Students put their trust in us, so we hold ourselves to the highest standards to ensure that everyone coming into our program is set up for success. Here’s our four step admission process:

1. Online Application

Online Application Icon

1. Here’s your opportunity to introduce yourself! Tell us about your work experience, education, interests, motivations, and goals. It only takes 5-10 minutes to complete an application and there’s no fees to apply! (P.S. The earlier you apply — the better. Aim for at least 6 weeks before your desired start date, it’ll give you more time to complete the Prep Modules.)

2. Interview

Interview Icon

2. We want to meet you! This is also an opportunity for you to learn more about the program and ask us anything. We just want to get to know you more to ensure that our program is the right fit for you. We’re invested in your success from day one. (P.S. You have the option to book your interview during the application process! We’ll email you to book one later if you opt not to, no biggie!)

3. Logic and Technical Tests

Logic and Technical Test Icon

3. These online tests allow us to assess your critical thinking, problem-solving skills, and learning aptitude. Don’t worry — you don’t need any prior tech experience to do well on these tests or to be successful in our program.

4. Prep Modules

Prep Modules Icon

4. Once you’ve been accepted, there’s a bit of homework you need to complete before the first day of class. The prep modules sets you up for success — it equips every student with the same technical skills and foundation before the program begins.

TUITION & START DATES

2023 Tuition

8 AND 18 WEEK ONLINE PROGRAMS

$10,500*

(10% deposit required upon acceptance)

Personalized, 1:1 career support from the team that’s achieved 85% employment rate for job-seeking grads.

  • Full-time or Flex program
  • Demo Day
  • 6 Career Workshops
  • Lifetime Access to Job Resource
  • Personalized Job Searching
  • Networking on Behalf of Students

8-Week Bootcamp Start Dates:

November 13, 2023 - January 19, 2024

January 08, 2024 - March 01, 2024

February 05, 2024 - March 29, 2024

March 04, 2024 - April 26, 2024

APPLY: Bootcamp

18-Week Flex Start Dates:

January 22, 2024 - May 24, 2024

February 19, 2024 - June 21, 2024

March 18, 2024 - July 19, 2024

April 15, 2024 - August 16, 2024

APPLY: Flex

Lecture Schedules for Flex*

• Tuesday and Thursday 8 PM ET - 10 PM ET/ 5 PM PT - 7 PM PT

* All prices are in CAD and taxes are included.

A 10% deposit is required to secure your spot upon acceptance into the program.

* The start dates listed above that represent the first day of classes do not include the time needed to complete Prep Module.

WAYS YOU CAN INVEST IN YOUR EDUCATION

Savings

Financial Guide

DISCOUNTS

All graduates of our part-time upskilling courses are eligible for an $850 credit towards a 12-Week Bootcamp or 30-Week Flex Program.
If you've completed a 21-Day Challenge, you’ve also earned a discount that can be used towards a 12-Week Bootcamp or 30-Week Flex Program.

Claim Your Discount
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FINANCIAL GUIDE

Investing in your education is a big decision. To guide you along in this process, we’ve put together a Financial Guide to make finding the right funding easier.

Download the Financial Guide
Financial Guide Cover Image

APPLY TO OUR DATA ANALYTICS PROGRAM TODAY

Personalized digital skills training that meets you where you're at and connects you with where you want to go.

APPLY CONNECT WITH AN ADVISOR

Filling out an application only takes 5-10 minutes. You've made it this far down the page, why not take the next step?

FAQ

  • What is the difference between Data Analytics and Data Science?

    Data analysts use past data to draw meaningful insights, identify trends, develop charts, solve problems and help businesses make more strategic decisions. They analyze well-defined sets of data using different tools to answer tangible business questions.

    Data Scientists estimate and predict the unknown by asking questions, writing algorithms, and building predictive models to help businesses make more strategic decisions. Data scientists are typically tasked with designing data modeling processes, as well as creating algorithms and predictive models to extract the information needed by an organization to solve complex problems.

  • Do I get a diploma upon graduation?

    While our philosophy isn’t based around credentials and instead seeks to set you up with the tools you need to be a lifelong effective, adaptive, and curious learner throughout your career — we do award Bootcamp and Flex Program digital diplomas upon graduation.

  • Can I leave Data Science if I find it too hard and switch to Data Analytics?

    No, this is not possible at this time.

  • Are there any prerequisites for Data Analytics? Do I need programming experience?

    No, there are no prerequisites for Data Analytics. Experience in math, stats, or coding would undoubtedly be an asset but is not required. No previous data science, data analysis, or programming experience is required to attend Lighthouse Labs.

  • Why are you offering Data Analytics?

    Lighthouse Labs recognizes the importance data plays in the tech world and is committed to filling the gaps in data analyst roles. This is achieved by offering an industry-aligned curriculum that best prepares you for success in entry-level positions. Data roles are in demand across every industry, with various requirements for skills and experience. By offering both Data Analytics and Data Science, we're committing to filling the talent gaps for both.

  • Can I complete the Data Science program immediately after completing the Data Analytics program?

    No, this is not possible at this time.

  • I’m afraid I’m not good at math/stats, can I take this course?

    Data Analytics is based on our Data Science curriculum with a special focus on the specific skills necessary to land analyst roles. The concepts found in later modules of Data Science, such as Machine Learning, and Artificial Intelligence, are left out. Data Analytics students will be introduced to math and statistical concepts several times throughout the program in a way that is directly applicable to how they’ll work on the job. Data Analytics is more focused on collecting data, visualizing and presenting findings clearly and concisely to answer questions and inform business decisions.

    Experience in statistics would certainly be an asset in this program, but it is not required. If you have concerns about your abilities, our logic and technical tests are in place to ensure this is the right program for you. Additionally, part of the prep work for this program involves reviewing foundational statistics to make sure everyone enters the program on a level playing field. These basic concepts will then be built upon later in the program.

  • I'm not sure which program to take. How can I decide?

    Your next career move should take your existing skills, interests, goals, and experiences into consideration. You already possess specific skills like problem-solving, creativity, or leadership that can be leveraged into your ideal tech career. All that's missing are the right tech skills: this is where Lighthouse Labs comes in, equipping you with the necessary tools to succeed. We put together the Tech Skills Quiz that aligns your abilities with the best tech career choice and which program to take to get there. Take the quiz today and discover your perfect tech career match.

  • What do career outcomes look like for Data Analytics?

    Potential entry-level roles for Data Analytics graduates include Business Analyst, Data Analyst, Marketing Analyst, Operations Analyst, and Research Analyst.

    The current median salary for Data Analysts in Canada is $66,900. Other roles, including Business Analyst, Marketing Analyst and Research Analyst, have salaries ranging from $55,000 - $70,000.

    As with many tech roles, Data Analyst positions have great potential for career growth, mobility, and the ability to work from home full-time or on a hybrid basis.

  • What is the difference between a Bootcamp and a Flex Program?

    Both bootcamps and flex programs cover the same material. Students of both will become familiar with their chosen program's fundamental concepts and techniques. The key difference between these delivery formats is the structure. A Flex program has lectures two days a week over a more extended period of time, whereas a Bootcamp is a more intense, full-time experience. These two programs accommodate a wider variety of student lifestyles, priorities, and preferred learning paces so that students can strike a balance that works for them without compromising on quality.

We've answered your burning questions