Diploma Programs

12-weeks full-Time

30-weeks flexible

Online Data Science Program

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

Discover our Data Science Program.

Apply Now Download Curriculum

NEW: AI module added to our data science program

AI literacy is fast becoming an in-demand skill. Keep up with the trend and learn to apply Large Learning Models (LLMs) to Natural Language Processing (NLPs) for effective business solutions.

Check it out

WHY YOU SHOULD TAKE OUR DATA SCIENCE PROGRAM

Discover what a career as a data scientist has to offer.

95%

Graduates work remote or in a hybrid workplace

A career in data science can give you the flexibility you’re looking for. 52% of Lighthouse Labs graduates work fully remote, while 43% work less than 3 days a week in the office.

79%

Hired in Data Science roles

79% of Data Science job-seeking graduates are hired in analyst or scientist roles, including as Machine Learning Specialists.

57K

Average starting salary for Data Science roles

On top of that, 2021 Data Science graduates saw an average 9% bump in starting salary over the previous year. This upward trend is only set to continue.

*The above salary figures are based from the Lighthouse Labs 2022 Career Trajectory Report.

WHAT DO DATA SCIENTISTS DO?

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

Data Scientist

Data scientists combine computer science, mathematics, statistics, modelling and a solid understanding of their industry to discover new strategies. They clean and sort data and create algorithms that analyze trends. They then present their findings to companies to help them improve their practices and systems.

Data Engineer

Data engineers work in a variety of fields to build systems that collect, manage, and convert unsorted data into usable information for data scientists and analysts to interpret. Their end goal is to make data accessible so that organizations can use it to evaluate and optimize their performance.

Machine Learning Engineer

Machine learning engineers research, build, and design artificial intelligence (AI) responsible for machine learning along with maintaining and improving existing artificial intelligence systems. They also act as the go-between for data scientists who develop AI construction models and those who build and run them.

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 | 12-Weeks

12-WEEK BOOTCAMP

5 LECTURES PER WEEK

~50HRS STUDY TIME PER WEEK

Flexible | 30-Weeks

30-WEEK FLEX PROGRAM

2 LECTURES PER WEEK

~25HRS STUDY TIME PER WEEK

WHICH OPTION IS RIGHT FOR YOU

If you want to launch your new career as a data scientist as quickly as possible — opt for the Data Science Bootcamp. If you’re looking to balance your studies along with work, health and wellness, or caregiver duties — then Data Science 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'LL LEARN

Every week, Data Science 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 Science Flex Program are only required to attend two lectures a week. Students are also recommended to set aside an additional 25 hours every week to work on projects, assignments and course collaborations.

DATA SCIENCE PILLARS

Programming for Data Science

Python
Clean Code
Statistical Modelling
Frameworks and Libraries
Git, Command Line, APIs, and Virtual Environments

Data Tools

SQL
Jupyter Notebook
Data Wrangling
Data Visualization
Machine Learning
Data Engineering and DevOps
Deep Learning*
Tableau*
Excel
Large Language Models

*Optional Self-Study Module

Data Soft Skills

Communication and Presentation for Technical and Non-Technical Audiences
Teamwork
The Scientific Method
Experimental Design
Interview Skills

Data Analysis

Probability and Statistics
Data Ethics and Access
Extract-Transform-Load Process
SQL (PostgreSQL)
Data Types and Datasets
Data Manipulation
QA Processes
Pandas
NumPy

The Data Science Bootcamp and Data Science Flex Program are approved by the Private Training Institutions Branch (PTIB) of the Ministry of Post-Secondary Education and Future Skills.

IN CASE IT WASN'T CLEAR:

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

WHAT YOU WILL LEARN

LLMs for NLP

Develop prompts and queries that leverage Large Language Models (LLMs) to perform targeted Natural Language Processing (NLP) tasks and fine-tune pre-trained LLMs to drive practical solutions to business challenges.

Apply ethical practices to ensure responsible and fair use of language models.

Data Science Environment

Set up a data science environment on your own device using Anaconda, VSCode, Git, and Virtual Environments.
Coding

Learn programming basics, including Python, PostgreSQL, Git, and Jupyter Notebook.
Math Foundations

Dive into the basics of probability theory, statistics, and linear algebra using NumPy and Statsmodels.
Data Wrangling

Master the art of data acquisition, manipulation and preparation using Pandas, APIs, and the ETL process.
Databases

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

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

Using sci-kit learn, Tensorflow and Keras, you’ll explore elements of machine learning like supervised learning, unsupervised learning, deep learning (stretch content), NLP (Natural Language Processing), time series, and recommender systems.
Development Process

Move through design, experimentation (prototyping), production code, and deployment, mastering the development process while using tools like Pickle, Joblib, and Flask.

Inside Our Data Science Curriculum

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

Download Curriculum Package

A SUPPORT ECOSYSTEM THAT SETS YOU UP FOR SUCCESS.

More than just lectures. When you attend one of our Bootcamps, you get the full support of expert instructors, industry mentors, Student Success Coordinators, and Career Advisors.

On-Demand Mentorship

Mentorship is the backbone of our Bootcamps. 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

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

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

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

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

To ensure your success in an ever-changing landscape, our Bootamp 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

We believe that the best data scientists 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 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 in data.
Grit

Becoming a data scientist 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.
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.

WHY STUDENTS CHOOSE LIGHTHOUSE LABS

Take it from those who know us best.

Discover the experiences alumni who've graduated from our Data Science Program below.

Graduates

Reviews

Projects

Course Report

4.45 (93 reviews)

Career Karma

4.4 (129 reviews)

Switchup

4.27 (108 reviews)

CourseCompare

4.75 (23 reviews)