Introduction to Data Storytelling with Excel

What

Access Data and Edinburgh College have launched this course to help attendees to gain vital skills that are currently increasingly in demand with employers. The course provides a broader introduction to Data Science, focusing on data analysis and data storytelling while working towards a group project.

The field of Data Science combines digital and data skills, specific knowledge about a particular topic or subject area, and numeracy skills to extract insights and knowledge from data. The ability to identify the problem to solve, the correct data to use, carry out the analysis and then implement the outcome requires the three abovementioned areas to be brought together.

Data Science is becoming an essential part of how we live, learn and work. It is all about how we turn those insights extracted from data into actions. Many people are keen to learn more and understand this topic, and more and more employers are seeking applicants with experience of Data Science. Using the knowledge and skills from this short course will help you to develop in your current or future job role. Participants gain a qualification in SQA National Progression Award Data Science SCQF level 5.

To apply, candidates (or professionals on their behalf) should fill out the provided online application form (link below). The applications stage will be followed by short interviews to further assess course suitability.

https://forms.office.com/e/CtArg39CH6
Intro to Data Storytelling with Excel (level 5) 2025 Info-Pack

Access Data courses are delivered in co-operation with Data Education in Colleges and funded as part of the Data Skills Gateway programme.

Who

Participants should have experience of using MS Excel on a pre-intermediate level (e.g. for data input, creating simple graphs and charts, making calculations, or using simple formulas). Introductory-level knowledge about data and related terminology is also required.

Our tutors are dedicated to making the course as accessible as possible for students whose first language is not English. However, all participants should be comfortable studying in English with no additional language support. No formal certification is required but language skills will be assessed during the course interviews.

Access Data eligibility criteria apply.

When

Tuesdays 9:30am-12:30pm. Current dates: 27 August 2024-21 January 2025. Upcoming dates: 21 January 2025-10 June 2025.

Why

Aims to equip participants with digital and data skills essential for life, education and work. Gaining a National Progression Award provides the necessary knowledge, skills and confidence required to progress to NPA Data Science level 6.

Where

Online live classes via MS Teams.

Funding Partners

Data-Driven Innovation Logo