• Training
  • Online
  • 31 January 2021

Website Fife College

Women Returners Course: Data Science for Finance (12 week course)

 

Data Science for Finance Course

Our Data Science for Finance short courses are free and delivered online as part of the Edinburgh and South East City Deal Data Driven Innovation Skills Gateway Project. Supported by our friendly teaching staff, our courses can be completed at the student’s own pace and flexible to fit around your current commitments. Once completed, students gain a National Progression Award qualification which can be used to enter employment in the digital sector or progress to further study.

In addition, Equate Scotland, the recognised national expert in gender equality, will be working with learners building confidence and skills development through a series of pre course, in course and post course workshops, enabling each learner to get the most out of their  learning experience.

Anyone with the passion, drive and commitment to developing their digital skills towards a positive future in the digital sector should consider this course.

This course is  tailored towards women returning to further study who wish to explore careers in the digital sector. If you are interested in other short courses please find similar courses delivered by Fife College here available to other groups.

Course Information

NPA Data Science for Finance (SCQF Level 4)

Start Date: 11 January 2021 (12 weeks duration)

This course provides an introduction as to how data is used in finance and how it assists individuals, businesses and the government make informed decisions. The course will introduce students to the concept of data science and its evolution over the years. Students will learn to identify different types of bias in data and how it is used and misused by different organisations and society. Our students will develop and understanding of how to use simple data as a means to prepare forecast models for a range of applications, such as the property market. This course will also enable students to apply simple computations for summarising data and use visualisation techniques to present the data in a way that can be interpreted by a range of audiences.

Units Studied

Data Citizenship, Data Science, Money Management and Principles of Money

Skills Developed

Numeracy, IT (spreadsheets), Communication, presentation skills, team working, problem solving, research skills, descriptive statistics

Entry Requirements

Applicants don’t require previous experience of data science or finance, however, possession of a computational/numerical skills-based qualification or experience; Two National 3 qualifications, preferably Numeracy and Communications or equivalent. Other qualifications and/or experience will be considered.

Entry is at the discretion of the college.

Apply now by click below.