PDA Data Science - Women in Data & Digital Innovation skills
Campus OL - Open Learning/Cross Campus
Qualification SCQF Level 7
Study mode Part time
Duration 11 weeks
Course enquiry form
Edinburgh College has launched a free course for Women who would like the opportunity to develop skills in Digital and Data Innovation.
Are you in a job where you are using data and want to reskill or upskill? Looking for something you can study flexibly around your work, that's also free?
The Professional Development Award in Data Science is delivered to fit your life and is completely free to study.
Data Science is the fastest-growing Tech industry area, and all employers are looking for Data savvy professionals to join their teams. Data gives insights that give businesses a competitive edge or inspire innovation and adaptation to improve lives, processes, and systems.
Data is part of every industry:
Engineering, Health and Social Care/ Marketing/ Software development/ Cyber Security, Finance and retail, to name but a few.
Edinburgh College offers many Data science qualifications in many contexts to meet your needs.
About this Data Science Award
The course has a 12-week structure and is guided by lecturer support via in-person delivery and online video lessons. This course is free to study, as it is fully funded by The Data-Driven Innovation (DDI) Skills Gateway. Upon successfully completing this course, you will gain a Professional Award in Data Science at SCQF level 7.
The focus of the award at SCQF level 7 is to improve the learner’s effectiveness in their current or future job role, which may be non-technical and not directly related to data science.
This course will:
- Improve the data skills of learners to prepare them to work more capably with data in their role as data workers.
- Develop learners’ statistical and communication skills as they relate to data science.
- Develop analytical skills to gain insights into datasets and make data-driven decisions in a business or organisational context.
What you will learn
This course has three units across the duration of the course:
- Working with Data
- Communicating with Data
- Data Science Project
The course will involve a mixture of theory and practice. In the theory, students will investigate the most effective way to clean, analyse and present large complex datasets, and the final showcase project will give students the opportunity to showcase their talents. The subject of the project will be fairly flexible and students will be encouraged to research, analyse and present subjects which are pertinent to themselves
This course will not involve coding or programming, but instead many of the more advanced functions within Excel, including Power Query and also an Introduction to Power BI.
Students wishing to progress to the level 8 PDA upon completion of this course will then be introduced to programming.
How the course is assessed
This is a hybrid course where each group will have their own lecturer and the assessments will be released to students as each outcome of the course is delivered, assessments are in the form of coursework, project-based assignments and reports.
Number of days per week
The options for participating in the course are:
- In -person classes at Edinburgh College Milton Road campus on a Friday
- Self-directed classes in the students’ own time to fit around their work/life schedules
- A combination of the above
We would expect the materials / research / tasks to take students approximately 7/8 hours per week, although this is entirely dependent upon prior knowledge and skills.
- Applicants don't need to have a qualification in a computer science-related award.
- The purpose of the course is to be accessible to a broad community of people no matter your qualifications or work/life experience, so if in doubt please apply as we have courses at all levels from beginner to advanced.
For students attending the in-person classes, all equipment will be provided, and outwith class time students have the option of using equipment in any of the four Edinburgh College campuses
For students wishing to participate in the course on a self-directed basis, there are certain minimum requirements
Apple Mac* or Windows PC – a Chromebook or iPad won’t be sufficient. You will be required to install desktop versions of Office applications ( at no charge to the students as all licenses will be taken care of by Edinburgh College )
Unfortunately the browser-based versions of the software – which is all you have access to on a Chromebook or iPad – will not be capable of coping with the tasks.
*Apple Mac – as part of the course will be using Power BI, which is ONLY available on a Windows PC. In the previous version of this course, some Mac users just came to the in-person classes for the Power BI part, so that is more than acceptable.
To install and run Power BI effectively your Windows machine should have a minimum of 4GB RAM and a processing speed of 2.GHz.
English Proficiency RequirementsIELTS 6.5
Progression and Articulation Routes
Depending on your other skills and qualification, there could be an entry into:
- PDA Data Science (SCQF level 8)
- For those starting their career, this is a gateway qualification to study at a higher level at college.
- For those with previous work experience, this qualification provides a great addition to your CV.
- Entry-level jobs in data science, data analytics or business analysis roles
|Campus||Study mode||Start date||Duration|
|OL - Open Learning/Cross Campus||Part time||14/04/23||11 Weeks|
Funding & Fees
When you are thinking about starting college, one of the most important things to consider is funding and how you intend to pay for some of the costs that come with being a student.
If you are thinking about applying for a course at Edinburgh College we have provided a number of resources to guide you smoothly through this process.