$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​
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 SCIENTISTDr Hojjati is a Data Scientist at Genworth Financial after moving on from Manulife Financial Corporation.
TANABY MOFRAD
DIRECTOR OF DATA SCIENCE TANGERINE BANKTanaby Zibamanzar Mofrad is a senior data scientists at Scotia Bank.
AMIRSINA ESKANDARIFAR
DATA SCIENTISTAmirsina is a Specialist Analytics and Data Scientist at Interac Co.
DR. MAHDI SHAHBAB
SENIOR DATA SCIENTIST RBCDr. Mahdi Shahbaba is a Senior Data Scientist in Marketing Science team at RBC.
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
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?
DOWNLOAD YOUR DATA SCIENCE PROGRAM PACKAGE
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BOOK A VIRTUAL MEETING USING THE FORM
to see how you can fast-track yourself to get a job with data science, finance, or software training at Lantern Institute!
- 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
- Receive tips and recommendations on courses and program options
