
Data Science Machine Learning + Co-op
Machine Learning, Python, ML Models, Business Intelligence, Cloud


Who can benefit from this course
Welcome to the Data Science and Machine Learning course designed to provide you with a comprehensive understanding of data-driven decision-making and the powerful techniques of machine learning. In today's data-rich environment, the ability to extract valuable insights and make predictions from data is a crucial high in demand skill in the Artificial Intelligence driven world. Advancement in Big Data and Machine Learning models are behind the rapid adoption of the Artificial Intelligence technology.
Pre-requisite: Participants will be required to take a Basic Python programming assessment.
This course covers various aspects of Machine Learning, Python Programming, ML Basic & Advanced Models, Data Engineering, Business Intelligence and Cloud Computing.
Learn With Professionals
This course is a 12 weeks program with weekly instructor-led training and online lab training sessions. Students are placed on a coop work experience after graduation. Students interested in joining our Consulting team after completing this program will need to apply and successfully meet the job requirements.

What You'll Get

Weekly in-class/virtual training. 12 weeks of training. Certificate in Data Science.

12 weeks of training. 3 months of coop work experience

Flex schedule (Saturday and Sunday available)

24x7 access to Lab
Installation of all required software

Co-op Work Term placement
Job Referral and Hiring

AI Teacher Assistant (new)

Self Study YouTube videos
Self paced Learning System

Flexible Payment Plan
Group & Corporate Discount
What You'll Learn
Module 1: Introduction to Data Analytics Machine Learning & Statistics
​Module 2: Basic Statistics & Introduction to Python
Module 3: Python Crash Course
Module 4: Machine Learning 1 - Basic Modeling & Mathematics
Module 5: Machine Learning 2 - Classification Models
​Module 6: Machine Learning 3 - Clustering Algo
Module 7: Machine Learning 4 - Understanding NLP
Module 8: Machine Learning 5 - ANN - Neural Nets
Module 9: Exploratory Data Analysis (EDA) & Modelling
Module 10: Introduction to BI Tools - Power BI & SQL
Module 11: Full Stack Data Science – Part I
Module 12: Full Stack Data Science - Part
Module 13: Career Workshop

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Mike Denton
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