Apprenticeship KSBs
K3 Principles of estimating the risks and opportunities of digital and technology solutions.
9:15
Apprenticeship KSBs
K2 The principles of strategic decision making concerning the acquisition or development
10:18
Apprenticeship KSBs
K1 how organisations adapt and exploit digital technology solutions to gain a competitive advantage
11:03
Apprenticeship KSBs
Explains the significance of customer/end user issues, problems, value to the organisation,
4:14
Apprenticeship KSBs
Describes how they have communicated the results of data analysis to different audiences that assist
3:38
Apprenticeship KSBs
Explains the legal requirements of using data and the importance of using data ethically
4:41
Apprenticeship KSBs
Describes communication methods, formats and techniques commonly used and how these have been
4:02
Apprenticeship KSBs
Describes the methods of validating data how to identify common data quality
3:38
Apprenticeship KSBs
Describes the characteristics of presentation tools to visualise and reviews the characteristics of
2:55
Apprenticeship KSBs
Explains the different types of data formats and data architectures including premises and cloud
5:32
Apprenticeship KSBs
Describes the role of data in the digital domain (including the use of external trusted data sets)
4:12
Apprenticeship KSBs
Describes the value of the data to the organisation and the importance of analysis management
4:54
Apprenticeship KSBs
Explains the different types of data sets and their formats
3:40
Apprenticeship KSBs
B7: adaptable to changing contexts within the scope of a project, direction of the organisation or D
4:14
Apprenticeship KSBs
B6: resilient - viewing obstacles as challenges and learning from failure.
5:25
Apprenticeship KSBs
B5: identify issues quickly, investigating and solving complex problems and applying appropriate sol
3:50
Apprenticeship KSBs
S14: collate and interpret qualitative and quantitative data and convert into infographics, reports,
4:55
Apprenticeship KSBs
S14: collate and interpret qualitative and quantitative data and convert into infographics, reports,
4:44
Apprenticeship KSBs
S13: use a range of analytical techniques such as data mining, time series forecasting and modelling
4:51
Apprenticeship KSBs
S9: apply organizational architecture requirements to data analysis activities
5:33
Apprenticeship KSBs
S5: assess the impact on user experience and domain context on data analysis activity
4:14
Apprenticeship KSBs
K15: the ethical aspects associated with the use and collation of data
4:21
Apprenticeship KSBs
K14: the principles of descriptive, predictive and prescriptive analytics
3:53
Apprenticeship KSBs
K14: the principles of descriptive, predictive and prescriptive analytics
4:20
Apprenticeship KSBs
K13: principles of statistics for analysing datasets S10: apply statistical methodologies to data an
3:51
Apprenticeship KSBs
K10: approaches to combining data from different sources
4:10
Apprenticeship KSBs
K1: current relevant legislation and its application to the safe use of data
6:03
Apprenticeship KSBs
K2: organisational data and information security standards, policies and procedures relevant to data
4:43
Apprenticeship KSBs
B2 show initiative, being resourceful when faced with a problem and taking responsibility for solvin
4:51
Apprenticeship KSBs
K5: the differences between structured and unstructured data
4:19
Apprenticeship KSBs
K6: the fundamentals of data structures, database system design, implementation and maintenance
4:30
Apprenticeship KSBs
K7: principles of user experience and domain context for data analytics
3:48
Apprenticeship KSBs
K10: approaches to combining data from different sources
4:14