dATA SCIENCE
CERTIFICATE PROGRAM
LET US HELP YOU ACHIEVE YOUR CAREER GOALS. ITS WHAT WE DO BEST.
$88000
78%
1000+
THE AVERAGE SALARY FOR OUR
DATA GRADUATES HAS AT AROUND $88,000
OF STUDENTS LANDED JOBS WITHIN
12 MONTHS AFTER GRADUATING
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
OUR CURRICULUM​
- PYTHON PROGRAMMING
- STATISTICAL MODELS & PROBABILITY
- APPLIED DATA SCIENCE & BIG DATA
- SQL DATABASE PROGRAMMING
- MACHINE LEARNING
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
TANABY
MOFRAD
Tangerine Bank
AMARSINA
ESKANDARIFAR
Interac Corporation
Dr. MAHDI SHAHBAB
Royal Bank of Canada
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
UPCOMING SESSIONS
March 21, 2021 – June 30th, 2020
Full Time & Part Time
Application deadline: February 25th, 2021
June 15, 2021 – September 30th, 2020
Full Time & Part Time
Application deadline: February 25th, 2021
September 15, 2021 – December 30th, 2020
Full Time & Part Time
Application deadline: February 25th, 2021
FEES & PAYMENT OPTIONS
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