OCR H019/H119 Data Analytics
Data Analytics homework for OCR H019 and H119
Set knowledge practice across the Cambridge Advanced National in Data Analytics, from data fundamentals and big data to spreadsheet models, databases, IoE and dashboards.
For Level 3 Data Analytics teaching
CS Ninja supports teachers delivering the Certificate and Extended Certificate pathways. It provides regular retrieval practice across mandatory and optional units while learners develop their practical evidence in class.
Coverage across F200–F206
The bank is organised by unit and teaching area, making it possible to set broad revision or focus closely on one part of the course.
F200 Data analytics fundamentals
Data types, the analytics lifecycle, collection, cleaning, platforms, legal considerations and job roles.
F201 Big data and machine learning
The five Vs, infrastructure, AI and machine learning, legal and ethical issues, environment and society.
F202 Spreadsheet modelling
Planning models, functions, lookups, validation, testing, delivery and evaluation.
F203 Relational databases
Entities, keys, relationships, normalisation, SQL, forms, reports, testing and evaluation.
F204 Internet of Everything
IoE ecosystems, sensors, connectivity, interfaces, security and audience communication.
F205–F206 Visualisation and marketing
Dashboards, KPIs, chart choice, interpretation, digital campaigns, analytics and evaluation.
Practice knowledge alongside practical work
Select the current unit and teaching areas, then set or schedule a question set. Students get immediate feedback on knowledge questions and repeat missed concepts, helping teachers identify gaps before assessment work begins.
Make a broad specification manageable
- Unit and teaching-area organisation
- Question coverage beyond Computer Science
- Scheduled homework for ongoing retrieval
- Visible results across classes
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