
Data Science and Machine Learning
Machine Learning, Python, ML Models, Business Intelligence, Cloud


Who can benefit from this course
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This Data Science course is designed for someone with a basic computer knowledge and python programming, aiming to upskill and gain employment in the tech industry as a Data Analyst and Machine Learning data roles.
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Pre-requisite: Participants will be required to take a Basic Python programming assessment.
This course covers a curriculum designed to provide students with the theoretical background and practical skills required to succeed in the tech big data industry. It covers various aspects of Machine Learning, Python Programming, ML Basic & Advanced Models, Data Engineering, Business Intelligence and Cloud Computing.
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Learn With Professionals
The 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.
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This course can be taken in a classroom or online. Why should you learn with us? See some of the most popularly asked FAQ.
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We care about providing you with the career satisfaction you deserve. Check out our movie to see what inspires us.
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What You'll Get

Weekly instructor led training
12 weeks of training
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Python Crash Course

Flex schedule (Saturday and Sunday available)

24x7 access to Lab
Installation of all required software

Co-op Work Term placement
Job Referral and Hiring

A license to a leading Data Visualization tool

2 year access to our Learning System

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






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