Diploma in Data Analytics Co-op

You will have 600 hours of guided learning followed by 240 hours of practical experience in an established business.

The work placement will help you apply the theories you have learnt in real business situations. We will help you secure your work placement by sending you for interviews.

1. Data Design

This module is designed to provide you with the skills to enhance the quality and usefulness of data analytics by starting with the intended outcomes.
The module will enable you to consider the information an organization wants to gain from data analytics. This will give you the skills to select the most appropriate data collection method, design deployment approaches, implement data collection techniques and revise instruments and systems to be developed.
This module incorporates automated data collection as well as traditional methods to enable the development of methodologically-sound approaches. Throughout the module you will be given access to the Amazon Web Services (AWS) virtual environment where you will be able to complete additional assignments and earn micro-credentials.

2. Data Handling and Decision Making

This module is designed to introduce the theoretical concepts and practical applications of data auditing, handling and decision-making. It will equip you with the skills needed to identify what the findings from data analysis mean and how they can be applied.
You will learn approaches that can be used to audit existing data within an organization to identify gaps, analyze data and generate recommendations from your findings.
As part of your studies you, will be able to learn how to utilize R as it is rapidly becoming the leading language in data science and statistics. Today, R is the preferred programming language for data science professionals in every industry and field.

3. Working with Data using SAS and SQL

This module gives you an opportunity to gain practical experience in handling data using analysis software. The module will also cover theoretical concepts from data design and handling while teaching techniques to work with Structured Query Language (SQL) and SAS.
The module is designed in two parts; part one focuses on learning fundamentals of SQL) with multiple exercises, which is essential for working with databases. You’ll get hands-on experience accessing and manipulating data in order to gain useful insights. In part two, you will learn how to use SAS software for data handling and analysis.

4. Data Visualization and Interpretation

This module is partnered with the data handling and decision-making module, and enables you to develop your skills in data presentation to facilitate the understanding of findings, so you can make informed decisions. Data visualizations are a powerful method of making data accessible and understandable to non-specialists.
Through this module you will learn the appropriate use of graphs and charts as well as the use of specialist data visualization packages and tools such as Tableau, Qlik Sense and D3 to visualize data and impact the decision-making process.

5. Work Placement

At the conclusion of the program, you are required to complete 240 hours of work placement in a suitable business environment. Appropriate business sectors for placement include marketing, retail, finance and accounting, not-for-profit, customer care and administration.
Activities performed will vary depending on the work placement site, however, key responsibilities include being supervised by a placement host at all times, observing all workplace and school safety and security procedures, dressing appropriately, interacting with other staff respectfully, courteously and enthusiastically, learning about the work environment and participating in the daily routine as required.