Overview
In this Data management and analysis module from The Open University UK you’ll gain a practical, legal and ethical understanding of how to access, query and manage data collections, using traditional relational databases and contemporary NoSQL approaches.
Using real-world datasets, standard software packages and data visualisation techniques, you’ll learn how to organise and analyse data collections to answer questions about the world, as well as developing an appreciation of user needs surrounding data systems.
The module is framed around a narrative that looks at how to manage and extract value and insight from a range of increasingly large data collections.
At each stage, a comparison will be drawn between different ways of representing the data (for example, using different sorts of charts or geographical mapping techniques), and limitations of the mechanisms presented.
To enable you to get a feel for the use of data, each stage will also include an overview of some data analysis techniques, including summary reporting and exploratory data visualisation. This module is driven by Richard Hamming’s famous quote: ‘The purpose of computing is insight, not numbers’.
Programme Structure
What you will study- This module will provide you with a broad overview of the concepts, techniques and tools of modern data management and analysis.
- It will compare traditional relational databases with an alternative model (a NoSQL database), and will help you learn how to choose the most appropriate means of storing and managing data, depending on the size and structure of a particular dataset and its intended use.
- You will be introduced to preliminary techniques in data analysis, starting from the position that data is used to answer a question, and introduced to a range of data visualisation and analysis techniques that will instil an understanding of how to start exploring a new data set.
Key information
Duration
- Part-time
- 8 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
Credits
Delivered
Disciplines
Business Intelligence Data Science & Big Data Web Technologies & Cloud Computing View 43 other Short Courses in Web Technologies & Cloud Computing in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
You must have passed, or be studying:
- Algorithms, data structures and computability
- passed, or be studying Object-oriented Java programming, OR
- passed, be studying or be enrolled on Applied statistical modelling
Tuition Fee
-
International
1868 GBP/fullTuition FeeBased on the tuition of 1868 GBP for the full programme during 8 months. -
National
1868 GBP/fullTuition FeeBased on the tuition of 1868 GBP for the full programme during 8 months.