Code Division are excited to announce that we’ve partnered up with Equate Scotland to offer a unique opportunity for women returning to work. Learners will be given the opportunity to create their own personal development plan in collaboration with our tutors, utilise and develop in-demand digital data skills using business applications like Excel as well as having the opportunity to gain a valuable SQA accreditation. Not only that, but learners will receive expert advice from industry, self-confidence workshops and employability skills training all delivered in a safe and supportive environment.
What you can expect from our course
Our course will supply you with a range of interactive resources which can all be accessed remotely. These resources include; bite sized videos, podcasts, interactive quizzes and exercises. Students will also have initial meetings with our recruitment specialist to help ensure they are prepared familiar with the technologies involved.
Students will retain access to these resources and online support for an additional 12 weeks from completion.
The course itself is an SQA-accredited PDA in Data Science (Level 7), designed to introduce you to data analysis and provide the essential skills needed to succeed in a variety of jobs and sectors or to progress onto further training. With the guidance of our tutors you will learn how to clean, manipulate and visualise data using industry-standard business applications like Excel and Power BI as well as discussing key topics like data bias, security and data management. There will be a particular emphasis on how companies can better understand their climate-centred data in order to help them reach the Scottish Government’s goal of Net Zero by 2045.
Check whether you are eligible to take part in this course
- Anyone who identifies as a woman aged 25 or over
- Unemployed for the last 6 months or more
- Have worked in the past
- Reside in Scotland
For more information and details about this opportunity, please visit: Code Division – Digital Inclusion For All