Short Course in Data Science

Data science is the study of extracting meaningful insights from data. It is a forward-looking approach with the focus on analysing the past or current data and predicting the future outcomes with the aim of making informed decisions.

Regardless of industry or size, organisations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities.

The Short Courses in Data Science have four levels:

• Short Course in Data Science: An Introduction
• Short Course in Data Science: Intermediate
• Short Course in Data Science: Advanced
• Short Course in Data Science: Expert

The following topics will be covered:

• Statistics
• Coding
• Modelling
• Data Visualisation

The Short Courses in Data Science has four levels with each covering topics in Statistics, Coding, Modelling and Data Visualization verticals. Entry requirements:

Short Couse in Data Science: An Introduction 

Individuals who are just embarking on the data science journey either as a “STEM” (Science, Technology, Engineering, and Mathematics) fresh graduate or those looking to upskill into data science. Knowledge of either computer science, programming or strong mathematics background is essential.

Short Couse in Data Science: Intermediate

The intermediate course is designed to provide individuals who have 2-3 years experience working in a data analytics or analysis discipline such as finance, business planning, marketing or sales who are looking to develop an understanding of data science. Basic practical knowledge of computer science, programming or strong mathematics background is a must. The individual must have attended and passed the Beginner Data Science course or other associated data science course.

Short Couse in Data Science: Advance 

Analytics practitioners who have more than 3 years of experience operating in a data analytics or analysis team looking to increase their knowledge in data science. They must have attended and passed the Intermediate Data Science course or other associated data science course.

Short Couse in Data Science: Expert 

Data Science team leaders looking to step into senior management role. Must have attended the Short Course in Data Science: Advanced
or other associated data science course.

Produced and delivered by specialists and practitioners in the industry, our data science short courses are for anyone looking to develop their knowledge or learn new skills in this domain.

Short Course in Data Science: An Introduction

• Understand computer instructions and data types
• Know how to manage a digital project
• Be able to structure, manipulate and represent data

Short Course in Data Science: Intermediate

• Be able to describe the data science process and how its components interact
• Understand database systems concepts, concepts associated with the relational model, use structured & unstructured data
• Develop database system using SQL
• Learn to apply different types of data related questions and analytics patterns

Short Course in Data Science: Advanced

• Be able to extract, transform and load (ETL) data
• Be able to explain ETL testing process and types of ELT testing
• Be able to create the ETL test case in a given scenario
• Setting up the data analytics team structures, roles and responsibilities
• Be able to represent unstructured text documents with appropriate format
• Be able classify text to classes or categories (Naïve Bayes, k Nearest Neighbour (kNN), Logistic Regression)
• Be able to identify the clustering structure of mass text

Short Course in Data Science: Expert

• Be able to explain ethical and privacy issues in data science conduct and apply ethical practices
• Understand the life of a data scientist – identify problem, define question, define ideal dataset, obtain and analyse data, and distribute results
• Setting up the data analytics team structures, roles and responsibilities