Flexible learning
Online postgraduate courses
Data Visualisation
This course gives an introduction to data visualisation. The course highlights key aspects of data visualisation techniques and best practices. Further, it covers data import and preparation, creating visualisations, and publishing reports.
This module can be taken as part of a PG Certificate, PG Diploma or Full Masters Program.
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- 10 Credits
- 100 hours of study
- 15 contact hours
- 85 hours for private study
Faculty
Structure
Structure
Data Visualisation is an elective 10 credit course and therefore students are expected to input approximately 100 hours of study into the course.
The total number of contact hours is 15 hours. This leaves 85 hours for private study.
Lectures
This module consists of 2- hour lectures per day for 5 days, plus a 1 - hour tutorial per day.
There will be optional clinics on the last day of the course.
The dates of each lecture are confirmed closer to the start of each term. If you have any questions about dates, please contact edu@timberlake.co.uk.
Power BI
Module Programme
Introduction to Data Visualisation
- The basics of data visualisation
Introduction to BI tools
- Global view of all BI tools, in order to better introduce Power BI
- Quick history of Power BI and explanation of the Power BI way of working (relation betweentables, DAX calculation, Data preparation within the tool)
- Installation and discovery of the interface.
Importing and Preparing Data
- Importing data into PowerBI (different source of data existing)
- Basic data preparation and cleaning with Power Query & DAX Calculation complementary to Power Query
- Introducing fundamentals of industrialisation and automation of the database.
Data Modelling
- Implementing a star Modelling (relationship between fact and dimension tables)
- Add tables in the Model (Summarize function)
- Introducing to Time Intelligence DAX function.
Visualisations in Power BI
- Creating visualisations in Power BI and DAX measures
- Graphs, charts, maps, and dashboards
- Formatting and customising visualisations and Dashboard navigation.
Publishing and Sharing PowerBI Reports
- Publishing and sharing reports
- Collaborating on PowerBI reports
- Applying security to the model .
Effective data visualisation techniques
- Best practices for designing and creating quality dashboards
- Examples of good and bad data visualisations.
Prerequisites
English Language Requirements
Both Programmes are open to applicants anywhere in the world. We may ask applicants to provide a recognised English language qualification, dependent upon their nationality and where they have studied/worked previously.
The requirement is an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We will also consider other English language qualifications. If their score is below our requirements, they may be eligible for one of Lancaster University's pre-sessional English language programmes.
Academic Requirements
Applicants to the Postgraduate Certificate of Achievement, Postgraduate Certificate, Postgraduate Diploma or full MSc in either programme require either an upper second-class degree in economics, econometrics or related subjects.
Learning Outcomes
- Data Visualization Skills: Creating impactful visualisations for data science
- Power BI Proficiency: Producing high-quality visualisations using Power BI
- Effective Communication: Conveying insights through clear and engaging visualrepresentation
- Interactive Visualization: Creating interactive and compelling data visualisations
- Practical Application: Applying visualisation skills to real-world data science projects.
- Understand the basics of data visualisation and the role of PowerBI in the data visualisationprocess
- Import and prepare data for visualisation using PowerBI
- Create a variety of visualisations using PowerBI, including graphs, charts, maps, anddashboards
- Publish and share PowerBI reports with others
- Apply common data visualisation techniques and best practices to real-world data sets.
Frequently Asked Questions
All sessions are conducted live and online at a scheduled time, but are also recorded. Students may attend live and watch the recordings back to recap the material or watch the recordings only if unable to attend live. We always advise students to attend live where possible as this will allow them the best opportunity to engage with the content and ask the lecturer's questions.
All modules are examined through online coursework submissions, you will have the support of your module lecturer/tutor in this poccess.
No, all necessary software is provided to students.
All courses are recorded and available on the LUMS internet platform throughout the current academic year. They can therefore be viewed 24 hours a day.
Timberlake Consultants and Lancaster University Management School (LUMS) Economics department have a longstanding partnership; combining 40+ years of industry expertise with over 50 years of academic excellence. We are delighted to build on this with our micro-credential postgraduate courses.
Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education
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Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education