Set of teaching resources for the new LEVEL 3 AAQ CAMBRIDGE ADVANCED NATIONAL IN IT: DATA ANALYTICS - Unit F201 Big Data. PowerPoints include: Starter activity Big picture slide Information slides Question slide Main task Case study Plenary Homework task 2 Mock style questions/answer CONTENT: Specification for the unit has been used to identify and include all individual criteria to be covered in lessons. Each criteria has a lesson PowerPoint and a matching student worksheet: 1.1– 1.4, 2.1 – 2.6, 3.1, 4.1 – 4.2, 5.1 – 5.2. 15 full teaching lessons in total.

A complete, ready-to-teach Pearson T Level Health resource covering Content Area 3, sections 3.1 to 3.3, Managing information and data within the healthcare sector. The package supports students to understand why personal information is collected, stored and protected, how law and organisational policy protect personal information, how the Caldicott Principles guide sharing, and how healthcare professionals protect confidentiality when using screens. The resource includes a redesigned PowerPoint, aligned student workbook, tutor pack with suggested answers, specification mapping, QR links to videos and official sources, and a JPEG cover for listing. **What is included ** 25-slide redesigned PowerPoint Student workbook aligned to the PowerPoint sequence Tutor pack with teaching notes and suggested answers Specification mapping to Pearson T Level Health Content Area 3 QR codes to student videos, ICO, GOV.UK, NHS England and NHS Digital resources Scenario stations, Caldicott decision challenge, secure screen audit and retrieval practice

CAMBRIDGE AS LEVEL ICT AS ICT 9626/CAN BE USED FOR OTHER ICT SYLLABUS ALSO. 75 MARKS DATA KNOWLEDGE INFORMATION PROCESSING ENCRYPTION

Read and draw simple charts and diagrams including a tally chart, block diagram/graph Extract information from lists, tables, diagrams and bar charts Make numerical comparisons from bar charts Obtain information from a pictogram Make numerical comparisons, using scales on bar charts Extract information from lists, tables, diagrams and charts and create frequency tables Sort and classify objects using a single criterion Sort and classify objects using two criteria Organise and represent information in appropriate ways including tables, diagrams, simple line graphs, Pictogram and bar charts Take information from one format and represent the information in another format including use of bar charts Make numerical comparisons, using scales on bar charts Averages Steam & leaf Pie chart Two-Way Tables Pictogram Scatter Graph

This comprehensive exam preparation resource is specifically designed for students studying OCR Cambridge Advanced National in IT: Data Analytics (H019/H119), F201: Big Data and Machine Learning. Perfect for final exam preparation, this resource provides structured, exam-style practice that systematically builds confidence and exam technique. . What is included: 30 days of focused exam practice (PDF) Complete mark scheme with indicative content and topic area references (PDF) Model answers for all extended response questions (6-mark analyse and 9-mark discuss) . *** The Six-A-Day MAX booklet includes:** 6 exam-style questions per day covering all topic areas of the specification Each day opens with a multiple choice question as a low-stakes warm-up to activate prior knowledge — this question type does not appear in the F201 exam paper itself Daily practice includes short-answer identify questions, fill-in-the-blanks sentences, data table tasks and extended response questions following OCR command word requirements (ANALYSE and DISCUSS) Data cleaning tasks appear across multiple days, each built around a realistic dataset with an expanded answer structure to help students articulate and practise the rationale behind each technique — a key skill for exam success Additional data table tasks throughout the booklet act as a revision tool, requiring students to classify, interpret and apply knowledge across a range of formats including correlation coefficient tables, analytics type identification, infrastructure matching and machine learning model classification Extended writing opportunities through DISCUSS (9 marks) and ANALYSE (6 marks) questions with full level descriptor guidance in the mark scheme Comprehensive scenarios covering diverse big data applications including healthcare, financial services, criminal justice, precision agriculture, smart cities, cybersecurity, streaming platforms, electric vehicle infrastructure and more Total of 180 exam questions across all five topic areas . Specification coverage: TA1: The scope of managing big data TA2: The infrastructure challenges of big data TA3: Big data, machine learning and artificial intelligence TA4: Legal and ethical issues in data management TA5: Environment and society . Perfect for Sixth Form students preparing for their F201 examination, this resource comprehensively covers all aspects of the specification through realistic scenarios that develop both knowledge recall and practical application skills required for exam success at Advanced National Level 3 standard.

Lesson Aims: -To label pictures with appropriate descriptors.  -To group and categorise data based on common labels.  -To understand the concept of searching and why data needs labels. An interactive and engaging lesson designed to cover the Yr1 objective for Data and Information. Designed by teachers, we understand that it is not always possible to squeeze in 6 lessons per unit and have therefore created a lesson to support teachers in covering curriculum aims through activities that span 1-2 lessons, but with additional activities, so can also be extended to further sessions if the teacher wishes.

Simple data and information puzzle for year 8

9626 Information Technology: Data processing and information Questions

This comprehensive exam preparation resource is specifically designed for students studying OCR Cambridge Advanced National in IT: Data Analytics (H019/H119), F200: Fundamentals of Data Analytics. Perfect for final exam preparation, this resource provides structured, exam-style practice that systematically builds confidence and exam technique. . What is included: 30 days of focused revision (pdf) Complete mark scheme with indicative content and topic area references (pdf) Model answers for all 6-mark extended response questions . The Six-A-Day MAX booklet includes: 6 realistic exam questions per day covering all topic areas of the specification Daily practice consisting of multiple choice / short-answer / matching / fill-in-the-blanks / ordering, etc PLUS 1 extended response question (6 marks) Extended writing opportunities through DISCUSS and ANALYSE questions following OCR command word requirements Comprehensive scenarios covering diverse data analytics applications including retail chains, healthcare providers, financial services, manufacturing, education, local authorities, and digital platforms Total of 180 exam questions across all five topic areas . Specification coverage: TA1: Data, information and file formats TA2: Data lifecycle, storage and maintenance TA3: APIs and user access control TA4: Legislation and compliance TA5: Job roles and communication skills . Perfect for Sixth Form students preparing for their F200 examination, this resource comprehensively covers all aspects of the specification through realistic scenarios that develop both knowledge recall and practical application skills required for exam success at Advanced National Level 3 standard.

Key Stages: 3 and 4 Subjects: Computing, Computer Science (CS), Information Tecnhnology (IT), Information Communication Technology (ICT) Topic: Data > Data, Information and Knowledge Content: Definitions and examples of data, information and knowledge Resources included: Presentation with animations to show the correct answers. Answers also written in notes section. Total Slides: 14. Pupil assessment sheet for them to record their answers ONLY and self-assess. Pupil assessment sheet with questions. Pupils to highlight the correct answer. Either the Teacher can mark the assessment using the answer sheet (Resource 4) or the answers can be presented (Resource 1) and the pupil mark their own/peers assessment. Answer Sheet. Total Documents: 4 Can be used as a plenary, revision, rewards method, mini assessment, checking for understanding etc.

A full set of revision mind maps for the new OCR AAQ IT Data Analytics module F201 Big Data and Machine Learning. Covers every AO in a 1 slide revision PowerPoint. Built to support students with condensing their revision notes. AO1 - The scope of managing big data AO2 - The infrasturture and challenges of big data AO3 - Big Data, machine learning and AI AO4 - Legal and Ethical issues AO5 - Enviroment & Society

This clear, student-friendly guide supports IB Biology students through the data analysis stage of the Internal Assessment, from organising raw data through to selecting statistical tests and writing evidence-based conclusions. Designed specifically for Biology IA work, the resource explains how to build properly formatted results tables, understand SD and SE error bars, identify outliers using the IQR method, create appropriate graphs, choose suitable statistical tests, and interpret p-values accurately. The guide is structured as a practical workflow, helping students move step by step from raw data to a statistically supported conclusion. What’s Included? 11-page PDF data analysis guide Step-by-step IA data analysis workflow Guidance on creating results tables Explanation of SD and SE error bars Outlier detection guidance using box-and-whisker plots and the IQR method Graphing guidance for scatter plots and bar charts Statistical test decision tree guidance Explanations of t-test, ANOVA, Tukey HSD, chi-squared test, Pearson’s r and Spearman’s rank p-value interpretation table Quick-reference statistical test summary Links/references to supporting Teaching with Tech online tools Why Teachers Love This Resource Ready to use with minimal preparation Saves time when teaching IA data analysis Provides a clear workflow students can follow independently Supports students with one of the most challenging parts of the Biology IA Helps students make informed choices about graphs and statistical tests Promotes scientific rigour when handling outliers Includes clear explanations, examples and quick-reference tables Useful for IA preparation, coursework support and revision Supports development of data-processing, graphing and statistical interpretation skills Links directly to practical online tools that help students produce results tables, graphs and statistical outputs Suitable For IBDP Biology IB Biology Internal Assessment support High School Biology students completing experimental investigations Advanced biology students needing support with graphing and statistics Keywords IB Biology IA, Biology Internal Assessment, IB Biology data analysis, IA statistics, Biology IA statistics, data analysis guide, standard deviation, standard error, error bars, IQR method, outlier detection, box and whisker plot, scatter plot, bar chart, graphing biology data, statistical tests biology, t-test biology, ANOVA biology, chi-squared test, Pearson correlation, Spearman rank, p-value interpretation, Biology IA Criterion B, raw data processing, results table, science data analysis, IB Biology coursework, statistical conclusion, Teaching with Tech, Biology investigation

This clear, detailed and visually-appealing resource offers a complete reference point for Year 1 children, teachers and parents covering knowledge relating to ‘Data and Information’ as a part of their computing learning. The organiser has a particular focus on introducing children to how different objects can be labelled, grouped, compared and counted. It contains comprehensive sections on: -Overview; -Labels and Properties; -Grouping and Counting; -Comparing and Answering Questions; -Key Vocabulary… The content is fully aligned with the age-related expectations for Year 1 children in computing. The resource is designed to be printed onto A3, and is provided as both a PDF and a Word version (so that you can edit if you want to). All images used are licensed for commercial use and are cited on a separate document (included).

This clear, detailed and visually-appealing resource offers a complete reference point for Year 4 children, teachers and parents covering knowledge relating to ‘Data and Information’ as a part of their computing learning. The organiser has a particular focus on introducing children to data logging, including using data loggers to collect, log and interpret data. It contains comprehensive sections on: -Overview; -Data Collection; -Data Recording; -Analysing Data; -Answering Questions; -Key Vocabulary. The content is fully aligned with the age-related expectations for Year 4 children in computing. The resource is designed to be printed onto A3, and is provided as both a PDF and a Word version (so that you can edit if you want to). All images used are licensed for commercial use and are cited on a separate document (included).

Set of teaching resources for the new AAQ OCR Cambrisge Nationals - Level 3 Data Analytics - Unit F205 Data Visualisation PowerPoints include: Starter activity Big picture slide Information slides Group Tasks - Question slides & Research Main Task Assessment Link Information Plenary Homework task CONTENT: Specification for the unit has been used to identify and include all individual criteria to be covered in lessons. Each criteria has a lesson PowerPoint and a matching student worksheet: 1.1 – 1.2, 2.1 – 2.5, 3.1 – 3.2, 4.1 – 4.2, 5.1 - 5.2. 13 full teaching lessons in total.

This PD will help teachers to understand components of a schools data ecosystem. While some components may require to be edited to suit your own school, this initial PD can support in improving teachers ability to use data to inform their practice.

This colourful, curriculum-aligned knowledge organiser covers Data & Information for KS1 Computing (Year 1 & 2). Perfect for classroom display, independent learning, homework support or revision. What’s included: • Key vocabulary with clear definitions • What is data? — explained simply • Ways to collect data • Reading a pictogram — with visual example • Sorting & grouping explained • Tally charts • I Can self-assessment statements • National Curriculum links Fully aligned to the KS1 National Curriculum for Computing. No preparation needed — print and use straight away.