Start Date: Duration: Level: Study mode: Course location: Course Type:
October 6 weeks Level 3 Part-Time - Day Bede Campus Skills & Qualifications

What’s it all about?

This bootcamp is designed for students who want to develop their knowledge and skills of Data Analytics

Students on this programme will learn skills in the following:

- Introduction to data analysis tools for industry
- Data Concepts
- Creating database objects
- Manipulating data
- Data storage
- Administer databases.
- Analytics interfaces

This is a good starting point for any students who want to potentially progress into examples of the following job roles (however is not limited to these industries):

- Digital Marketer Analytic Specialist
- Data Analysis
- Software Development

There are no set entry requirements however candidates must be over the age of 18.

Study level Cost
19+ please enquire

During the programme you will learn how to do different tasks by being taught in a selection of ways including:

- Group work
- Research tasks
- Workbooks
- Practical activities
- Case studies
- Projects
- Presentations
- Discussions

By the end of the bootcamp you will be proficient in a wide range of areas, allowing you to progress into a range of industries using up to date technology.

Students can enrol on this programme even if you are yet to achieve Maths and English however we would recommend enrolling onto 'Test the City' at Sunderland College to gain these qualifications.

There is no placement attached to this course however we do work very closely with Sunderland Software City which will mean you will engage with local employers throughout the course.

This course has close local links to industry and this will be used throughout the course.

Students will need to do some studying outside of the classroom to ensure that they are making good progress.

This programme is recognised by the department for education as part of the Digital Bootcamp Initiative.

This course will run 1 day a week on campus and is flexible to work to outside commitments.

Introduction to Data analysis tools for industry:
- Power BI
- Access
- Python

Data Concepts
- Data storage
- Data manipulation
- Data language

Creating database Objects
- Data types
- Storage procedures and functions

Manipulating data
- Using SQL language
- Practicing manipulating data using commands

Data storage
- Normalising data
- Using Primary, Foreign, and composite keys to store data

Administer databases
- Security concepts
- Backup and restoring data

Analytics Interfaces
- Reporting
- Dashboards

What’s next?

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