Connect the dots. Uncover patterns. Draw insights.

Course Description

Data Science Foundation is aimed at anyone who wishes to have and demonstrate a thorough understanding of Data Science fundamentals and its applications and uses that can be applied to real business cases.

 

Audience

Data Science Foundation is for all those who want to prove their knowledge and understanding with data science concepts and terms, potential data sources that can be used for solving real business problems and an overall overview of data mining tools.

Example of typical job titles:

• Software Engineer

• Software Developer

• Research Assistant

• Project Manager

• Account Manager

• Administrative Assistant

• Business Analyst

• Sales Associate

 

Prerequisites

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No specific pre-requisites are required, just general awareness of business and technical technologies that a candidate typically has working in any business envirnoment.

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Learning Objectives

• The basics of Data Science

• Key concepts of Programming (with R/Python)

• Key concepts of Data Management

• Probability and Statistics

• The basics of Machine Learning

• The basics of Artificial Intelligence (AI)

• Key Concepts of Visualization

• Data Governance, Ethics, Data Privacy and Protection

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Examination

• Delivery: Computer-Based (Online)

• Format: Closed book

• Proctoring: Online

• Duration: 60 minutes (candidates taking exam in a language that is not their native, may be awarded 25% extra time)

• # of questions: 40, simple multiple choice (1 mark per question)

• Pass Grade: 70%

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Please note Data Science Foundation course & exam are offered together as a bundle