Enterprise Data Scientist

The goal of the course is to teach participants to think in a data-scientific way, conduct or approximate experiments on business activity, analyze data rigorously and communicate results well. The course is aimed at people with no or little experience in computer science, but with a strong, undergraduate-level math background.

A fast-paced practical introduction to the interdisciplinary field of Data Science

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The 42-day Enterprise Data Scientist course is a fast-paced practical introduction to the interdisciplinary field of data science, which is the study of how to use computer science, statistics and a scientific mindset to extract knowledge from data.

The goal of the course is to teach participants to think in a data-scientific way, conduct or approximate experiments on business activity, analyze data rigorously and communicate results well. The course is aimed at people with no or little experience in computer science, but with a strong, undergraduate-level math background.

Outside of the classroom, participants are expected to spend about six hours per week on homework and their final project.

This course is made out of 12 Modules and requires participants to demonstrate the application of their learning through a Capstone Project.

Learning outcome:

Upon completion, participants should be able to demonstrate each of the following;
  1. Understand the landscape of machine learning possibilities
  2. Ability to train a model using simple supervised learning algorithms
  3. Ability to train and evaluate a model using training and/or test data

42 days of in depth learning

Face to face with experienced Data Scientist.

1x Capstone

Applied Learning with real world use cases.

HRDF Claimable

HDRF claimable. EPP option available for selected credit card.

CADS Certification​

Earn certification upon completion.

How This Track Program Works

Take Courses

Complete all 12 modules outlined in this track program that helps you master a skill

Complete Capstone

Apply learning with real world use cases to complete this track and earn a certificate

Earn a Certificate

Earn a certificate when you complete all courses and a capstone project

Learning Path

Module 12

Capstone

The Capstone project is an important bridge between the theoretical knowledge gained from training sessions and applying that knowledge in real world analysis. During the project, trainees will go through the entire process of solving a real-world problem: from collecting and processing real-world data, to designing the best method to solve the problem and finally, to presenting and/or implementing of a solution. The problems and datasets that trainees will engage with comes from real-world settings identical to what trainees might encounter in their respective field of expertise.

CADS Certification

EDS CADS Certified Enterprise Data Scientist

Certification information for this module & track will be made available soon.

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Enterprise Data Scientist