DATA SCIENCE
CERTIFICATE PROGRAM

LET US HELP YOU ACHIEVE YOUR CAREER GOALS. ITS WHAT WE DO BEST.
Apply NOw

$88000

THE AVERAGE SALARY FOR OUR
DATA GRADUATES HAS AT AROUND $88,000

78%

OF STUDENTS LANDED JOBS WITHIN
12 MONTHS AFTER GRADUATING

1000+

TRAINED ALUMNI AROUND THE GLOBE WHO HAVE COMPLETED OUR PROGRAM

WHAT WE
DO BEST

Lantern provides graduates with personalized training to transition them into a fulfilling career in high growth industries. Whether you are doing a career change or taking your first steps into the industry, our data science program very extensively provides our students with a foundation in software and analytical skills to secure data related positions jobs in various industries​

LEARN ABOUT OUR UNIQUE INDUSTRY BASED TRAINING MODEL

BOOK A VIRTUAL APPOINTMENT TO LEARN HOW WE COULD HELP YOU ACHIEVE YOU CAREER GOALS

BOOK A CONSULTATION

OUR CURRICULUM

COURSE DETAILS

This is an introductory Python course targeting students with zero or little experience in programming (Python in particular). The goal is to get started with the basics of Python programming and move on to more advanced Data Science and Analytics applications.

COURSE TOPICS

This is a high-level overview of the topics covered in the course:

  • Bash command-line essentials
  • Python programming essentials
  • Data analytics libraries in Python
  • Object-oriented programming
  • Flask, Dash and webapp in Python
  • Cloud computing, an introduction
  • Introduction to Machine Learning

COURSE DETAILS

This is an introductory Statistics course targeting students with zero or little experience in Statistics and Probability Theory. The goal is to equip students with the basics of Statistics that will allow them to learn Data Science and Quantitative Finance applications.

COURSE TOPICS

This is a high-level overview of the topics covered in the course:

  • Introduction to Probability Theory
  • Descriptive Statistics
  • Statistical Estimators
  • Hypothesis Testing
  • Regression Models
  • Time Series Models
  • Survival Analysis

COURSE DETAILS

Fundamentals of Data Science is a continuation of Python Programming. This intermediate-level course has the goal is to move on to more advanced Data Science and Analytics applications.

COURSE TOPICS

This is a high-level overview of the topics covered in the course:

  • Bash command-line essentials
  • Python programming essentials
  • Data analytics libraries in Python
  • Object-oriented programming
  • Flask, Dash and webapp in Python
  • Cloud computing, an introduction
  • Introduction to Machine Learning

COURSE DETAILS

Structured query language (SQL) is the language of databases. Whether you run reports or provide a dynamic website, you need to know SQL to add, delete, edit, and view records. Databases organize and collect your data, and the SQL language is the liaison between you and the data. This course provides a step-by-step overview and instructions that help you get started with the SQL language.

COURSE TOPICS

  • This is a high-level overview of the topics covered in the course:
  • Relational Database Management Systems with MySQL
  • Data Definition Language
    Modeling and designing of a database
  • Data Manipulation Language
  • Retrieving data from DB and Select statement
  • Joins and foreign key, Unions, Subqueries

COURSE DETAILS

This is a Machine Learning (ML) course for students with some experience in Python programming, Statistics and Probability. The goal is to get started with general Machine Learning steps, learn different ML algorithms and their applications, and be able to test and fine-tune ML models using relevant Key Performance Indicators (KPIs).

COURSE TOPICS

This is a high-level overview of the topics covered in the course:

  • Machine Learning Steps
  • Classification
  • Model Training (under the hood)
  • SVM
  • Decision Trees
  • Ensemble Learning
  • Artificial Neural Networks
  • Deep Neural Networks
  • Introduction to NLP

OUR TEAM

DR. ALIREZA HOJJATI

DATA SCIENTIST

Dr Hojjati is a Data Scientist at Genworth Financial after moving on from Manulife Financial Corporation.

TANABY MOFRAD

DIRECTOR OF DATA SCIENCE TANGERINE BANK

Tanaby Zibamanzar Mofrad is a senior data scientists at Scotia Bank.

AMIRSINA ESKANDARIFAR

DATA SCIENTIST

Amirsina is a Specialist Analytics and Data Scientist at Interac Co.

DR. MAHDI SHAHBAB

SENIOR DATA SCIENTIST RBC

Dr. Mahdi Shahbaba is a Senior Data Scientist in Marketing Science team at RBC.

Your Team

PROVEN RECIPE FOR SUCCESS

Through market research and working closely with our community partners, we’ve created a proven program that is results driven on helping our students become industry professionals. We focus on technical skills and soft skills training to help our students become hireable professionals.

01

ACCESS YOUR CLASS ANYWHERE
OUR LIVE ONLINE MODEL ALLOWS STUDENTS TO ACCESS THEIR INSTRUCTOR LED CLASSROOM FROM ANYWHERE IN THE WORLD

02

PART TIME & FULL TIME OPTIONS
FLEXIBLE CURRICULUM OPTIONS WITH LIVE ONLINE TRAINING FOR BOTH WORKING PROFESSIONALS AND THOSE WHO ARE NOT.

03

PROJECT BASED CURRICULUM
PROJECT BASED CURRICULUM WITH THE GOAL OF SIMULATING THE REAL WORLD WORKING ENVIRONMENT TO CREATE PORTFOLIO CONTENT.

OUR
ALUMNI

The instructors are busy professionals, but they generously exchange ideas and supervise the projects and usually accept mentorship requests. The scopes of the projects vary from 1 month for the basic courses, to 4 months for the advanced courses. The system is very co-operative and in my personal case, I have learnt a lot from my classmates, while collaborating on different projects. Lantern has skin in the game and charges a small registration fee relative to the norm of the industry; its bulk of income depends on future graduates’ success in landing a decent career.

Prior to Lantern, I had specialized in UofT’s Analytics stream, which was just a theoretical exposure to 4 data science courses. At Lantern, I practically developed my coding skills. Serious students who dedicate time and effort (at least 20-30 hours a week) will develop the fundamental coding skills in Python and R within a 3-month time period, and then they can build up more complex Machine Learning and in-depth analytical projects supervised by instructors all of whom are industry professionals. The class size is approximately 20 students for general courses and gets smaller for more advanced courses. Throughout the semester, students get career advice, resume review, soft skills catch up, mock interviews and should also deliver a few presentations about the projects they have developed.

UPCOMING SESSIONS

June 15, 2021 – September 30th, 2020

Full Time & Part Time

Application deadline: June 5th, 2021

September 15, 2021 – December 30th, 2020

Full Time & Part Time

Application deadline: September 5th, 2021

January 15, 2022 – March 30th, 2020

Full Time & Part Time

Application deadline: December 29th, 2021

Apply Now

FEES & PAYMENT OPTIONS

UPFRONT
PAYMENT

$2379 $1699

Upfront fee at the start of the program


15% discount for upfront payments


Total Tuition: $1699 plus HST


Discounted Price For June 2021 Session

MONTHLY
INSTALMENTS

$799 $499

Equal instalments due on a monthly basis


Up to 4 equal monthly instalments


Total Tuition: $1999 plus HST


Discounted Price For June 2021 Session

DEFERRED
PAYMENTS

$1499 $899

Upfront fee due at the start of the program


$2100 due upon securing employment


Total Tuition: $2999 plus HST


Discounted Price For June 2021 Session


READY TO GET
STARTED?


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  • Virtual consultation to cater a training plan specific per student
  • Learn about our current technical mentorship program and projects led by senior professionals
  • Find out how you can pay zero upfront fees to join
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