Data Science and Machine Learning
Machine Learning, Python, ML Models, Business Intelligence, Cloud
Who can benefit from this course
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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.
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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.
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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