Introduction:

Businesses and organisations rely on data analysis to make critical strategic choices in today’s data-driven environment; therefore, data analysis becomes crucial to the survival and development of every company these days. Organisations may make thoughtful, well-informed decisions with the aid of data analysis. Expert data analysts are in high demand right now.

Analysing data collections to identify trends and make judgments about the facts they contain is known as data analytics (DA). More often than not, specialist hardware and software are used to do data analytics. To help businesses, make better business decisions, data analytics tools and methodologies are widely employed in the commercial sector. Analytics tools are also used by scientists and researchers to support or refute scientific models, ideas, and hypotheses.

Prerequisite:

No prerequisite, however basic Data Sciences excel, SQL and Tableau knowledge would be helpful.

Course Objective:

1. Introduction to Data Analytics Essentials
2. Start a Project Portfolio – Data Analytics Projects
3. Getting started with Data Gathering and Investigation
4. Preparing and Cleaning Data for Analysis
5. Transforming Data with Excel
6. Analyse the Data Using Statistics
7. Introduction to Relational Databases and SQL
8. Introduction to Structured Queries
9. Introduction to Tableau
10. Ethics and Bias in Data
11. Take the Next Steps
12. Data Analytics Essentials Exam/Projects

Job Roles:

You will be able to fit-in the job roles such as:

1. Data Analyst
2. Data Engineers
3. Data Strategist
4. Database Administrator
5. Data Scientist
6. Data Architect
7. Statistician
8. Business Analyst
9. Data and Analytics Manager

Who this course is for:

This Data Science courses is suitable for a wide range of learners including:

1. If you are curious about Data Analysis.
2. If you have been lately exploring Data Science or have been playing around with it for a while.
3. If you want to work as a Professional Data Scientist or an Engineer.
4. If you want to boost your Data Science skills.

Hands on Experience:

The features of the course include practical exercises and labs and easy to understand lessons. This course is adequate to provide trainees with the required knowledge and practical skills to be a Data Analyst.

SQA Framework:

This Data Analytics course is based on SCQF Level 8 and learners will have an opportunity to attain this PDA Data Science certificate from SQA upon completion.

Learning Modes:

You have the option of undertaking this course via following learning modes:

1.) Face to Face (Classroom based Learning): You will attend the class each week on its specified day and time at your designated center

2.) Virtual Learning: Live traditional face to face class will broadcast remotely via our online settings through Microsoft Team

3.) Blended Learning: Mixture of Face to face and Virtual learning (must inform when joining the course).

4.) ELearning is also available for this course.

Course funding: SAAS: Scottish Awards Agency for Scotland (PTFG)

This course is fully SAAS PTFG funded and available to eligible individuals only;

SAAS General funding eligibility requirement:

1. You have to be a resident of Scotland
2. Either employed and earning less than 25k a year or can be unemployed as well
3. Have not used the SAAS funding in this Academic Year.

Other criteria:

1. Students do not need to pay it back as this is a grant not a loan.
2. This Part time funding can be used/applied by someone who previously granted a funding for a degree, postgrad or any other full time studies (HNC/HND) etc.
3. Part time funding cannot be receive in a same session if someone is already receiving any part/full time funding for other courses.
4. Part Time funding can only be utilised for one course in each academic year
5. SAAS part time funding academic year runs from 1^st Aug to 31^st

For more information on this, please visit the below link;

https://www.saas.gov.uk/_forms/funding_guide.pdf

To check your funding eligibility:

Please follow the below link to check if you qualify for the course funding;

https://www.saas.gov.uk/part-time/undergraduate-funding