Code Division - Current Courses
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Get Connected

Access to education should not be limited by connectivity.

Code Division is a member of the National Databank and are committed to fighting data poverty.

We can now provide free SIM cards (up to 6 months) as well as 20GB of data for those who join our data courses.

This allow our learners to:

  • Access courses
  • Access job opportunities
  • Escape data poverty


Education + Connectivity = Empowerment

SQA-Accredited Courses
Now Live

We have two amazing data courses that are fully funded through The Data Lab's scheme for Eligible Learners. Our bespoke courses will get you up to speed, utilising the latest business technologies in data analysis, including ChatGPT (Ukrainian Translation).




Eligible for full funding:

Tayside Regions (Dundee, Angus, North East Fife, Perth and Kinross) and are aged 24 or above.



You must also meet one or more of the eligibility criteria:

  • Women Returning to work or advancing in work
  • Black, Asian or minority ethnic (BAME)
  • Living with a disability
  • Unemployed or underemployed
  • Earning below £24K per annum



Spaces are limited, so apply ASAP if you believe you are eligible - don't miss out on this great opportunity!





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Programming with Data (Python)

Take your Python skills to the next level with our SQA-accredited data course.

In this course, you will learn how organisations utilise programming languages, specifically Python, to interrogate and display data for valuable business intelligence.


This course includes a pre-course - enroll now to be placed on a Python Fundamentals course.


The focus will be on using Python as a tool to strengthen analytical thinking and creative problem skills, which are vitally important in data analytics.

Learn how to use ChatGPT to create Python programs.


Course has now started

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What you'll learn

Creating functions; libraries and code reuse; data types and structures; manipulating data from external sources; cleaning and wrangling data; statistical analysis and creating visualisations.

Course length

6 weeks, 2 evenings per week. 24/7 access to VLE: Videos, interactive quizzes, ChatGPT.

Pre-Course

Python Fundamentals (Self Paced)

Tutor

Karen Scott started as a Data Administrator before moving into Software Engineering and Education. As co-founder of Future Coders SE, she provides innovative training solutions.


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Working with Data (Business Applications)

In this course, you will learn how to develop and fully use Excel to unlock the power ofanalytics and discover ways to analyse and present data as valuable business intelligence.

The focus will be on using Excel as a tool to stop wasting your organisations' precious resources on time-consuming manual data tasks.

The focus will be on using Excel as a tool to strengthen the learner’s analytical thinking and creative problem solving skills, which are vitally important in data analytics.

Integrate ChatGPT for efficient data collaboration in Excel


Course has now started

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What you'll learn

Extracting and cleaning data; data manipulation using pivot tables; charting and formulae; statistical analysis and dashboard creation.

Course length

6 weeks, 2 evenings per week. 24/7 access to VLE: Videos, interactive quizzes, ChatGPT.

Pre-course

Excel Fundamentals (Self Paced).

Tutor

Emily Groves. Co-founder of Future Coders, she is vastly experienced working with clients on offering alternative solutions & technologies for manipulating data.

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Machine Learning Introduction (Python)

Take your Python skills to the next level with our SQA-accredited data course


This is what you'll learn:
  • The principles and practice of Machine Learning
  • Different learning approaches used in Machine Learning
  • Develop models for prediction and clustering using a Machine Learning workbench.
  • Python implementations of ML algorithms.



Course has now started
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Start Date

8th July

Course length

6 Weeks, 1 x Evening Workshop per week

Pre-Course

Python Fundamentals (self-paced)

Tutor

Frank has over 30 years of education and industry expertise. He has designed, developed and taught courses in schools, colleges and universities. He is passionate about bridging IT skills gaps and promoting diversity in tech.