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The collection and analysis of data can encompass both digital and non-digital research. Here we have gathered resources to help you explore a range of techniques used to collect data, analyse its contents for a given purpose and present the resulting information.
When first considering the collection and analysis of data, there are some key questions you need to consider;
What is the difference between data and information?
Where do I start to gather data?
What sources of data can I use?
Why do I need to justify sources of data?
Is there a format for publishing the results of data analysis?
How does integrity affect the results of data analysis?
How can I ensure the integrity of all my data?
For those of you who like to watch a short video, here are just a few interesting ones that consider what data science is, what AI means and an example of a SWOT and PEST completed on Starbucks.
We hear the term “Data Science” a lot nowadays, but what is data science?
From optimising your workforce schedules to creating the best budget for your business, data science can make a real difference.
What exactly is artificial intelligence (AI)? Where is AI used? How can AI support us?
An example of how to utilize the PEST and SWOT Analysis Tools on Starbucks
If you prefer to read, here you will find a range of articles that cover many different aspects of data and analysis including how to improve your attention to detail, how to solve a problem with data analysis and the differences between quantitative and qualitative data.
As with all knowledge it only becomes truly useful when we start to use it! Here we have sourced a range of free short courses to help you adapt to change and work more flexibly. Pick a course that interests you and start turning your knowledge into useful business skills.
Analysing Reports and Data
Sign up for a live online Skills Session. Our 2-hour online sessions, encourage active participation allowing you to exchange ideas with tutors and fellow apprentices.
By participating, you will:
Look at different methods to help you gather and recognise errors in data
Consider different techniques to help you analyse data regardless of format and identify the root cause
Explore methods to help you write commercially sensible recommendations.
Click on the link below to find out when the next session is running.
Learning to stretch our thinking skills is integral to accelerating our development. This is a really important part of the learning process, and gives you the opportunity to demonstrate your skills and show progression in your Apprenticeship.
Here are two challenges for you to pick from- should you choose to accept, this will help you to develop critical thinking, evaluation skills and encourage creativity.
Challenge 1
Select two tasks where you have recently gathered and interpreted data. Analyse the strengths and weaknesses of how you gathered the data; how you checked to see if it was sufficient; how you evaluated the data and any GDPR relevant points. Evaluate the strengths and weaknesses of both tasks and conclude which process was more effective. Create an outline for improvements and justify your findings and recommendations. Discuss your reflection with your Talent Coach and justify your conclusions.
Challenge 2
Select two recent activities where you have had to analyse and handle data. Analyse the strengths and weaknesses of the way in which data was gathered, handled and analysed. Consider how the data was checked; and how data was backed-up and kept secure. Evaluate the strengths and weaknesses of both activities and identify areas for your personal development. Discuss your reflection with your Talent Coach and agree on an action plan to take the next steps.
Update your Learning Journal in OneFile with your evaluation and your reflections ready to discuss with your Talent Coach at your next review.
Reflective practice is, in its simplest form, thinking about or reflecting on what you do. It’s a really important part of learning from experience.
Within your apprenticeship you will be asked to reflect throughout your programme, the reason for this is two-fold
Regular reflection will accelerate your development and help you to identify areas to develop helping you to constantly move forward.
A summary or log of your reflections of your development will be required as part of your endpoint assessment activities. These reflections should demonstrate your ability to 'critically evaluate' your performance and development.
Reflection is a skill and practice will make it easier, it should also be an enjoyable experience and a chance to concentrate on what you need.
To support you to develop this skill we have gathered a range of resources and articles to help you find a reflective model that works for you.
Click on the button below to access the Reflective Practice page for additional resources.