Data Analysis & Interpretation, Communication & Presentation of Data, Project Management
Computer Science GCSE Grade 6 OR IT / Creative iMedia Cambridge National Merit
Fundamentals of Data Analytics (F200) • Assessed: Written paper • Content: This unit teaches students how to collect, clean, and analyse data using tools like Excel and Python. They’ll explore key techniques such as descriptive statistics and data vis- ualization, while learning how to present findings clearly. Ethical considerations and real- world applications of data in decision-making are also covered, preparing students for data- driven careers. Big data and machine learning (F201) • Assessed: Written paper • Content: This unit introduces students to handling large datasets and applying machine learning techniques. They’ll learn how to work with big data tools, explore machine learning algorithms, and understand how to process and analyse large volumes of data. Ethical con- siderations and real-world applications of AI and machine learning are also covered, prepar- ing students for careers in data science and AI-driven fields Spreadsheet data modelling (F202) • Assessed: Coursework-based • Content: This unit teaches students how to create and use spreadsheets for data analysis and modelling. They’ll learn techniques for organizing, analysing, and visualizing data, as well as applying formulas and functions to solve problems. The course emphasizes practical skills in designing spreadsheets for various scenarios, preparing students for effective data management and analysis in real-world applications. Data and the Internet of Everything (F204) • Assessed: Coursework-based • Content: This unit explores the role of data in the interconnected world of the Internet of Things (IoT). Students will learn how devices communicate, collect, and share data, as well as the impact of IoT on industries and daily life. The course covers data security, privacy is- sues, and the ethical implications of connected devices, equipping students with the knowledge needed for careers in IoT and data management. Data visualisation (F205) • Assessed: Coursework-based • Content: This unit focuses on the techniques and tools for effectively presenting data visual- ly. Students will learn how to create compelling charts, graphs, and dashboards to communi- cate insights clearly and effectively. The course emphasizes best practices in design and storytelling with data, enabling students to transform complex information into understanda- ble visual formats for diverse audiences.
About Education Provider
| Region | West Midlands |
| Local Authority | Solihull |
| Ofsted Rating | Good |
| Gender Type | Co-Educational |
| Address | Station Road, Knowle, Solihull, B93 0PT |
Data Analysis & Interpretation, Communication & Presentation of Data, Project Management
Computer Science GCSE Grade 6 OR IT / Creative iMedia Cambridge National Merit
Fundamentals of Data Analytics (F200) • Assessed: Written paper • Content: This unit teaches students how to collect, clean, and analyse data using tools like Excel and Python. They’ll explore key techniques such as descriptive statistics and data vis- ualization, while learning how to present findings clearly. Ethical considerations and real- world applications of data in decision-making are also covered, preparing students for data- driven careers. Big data and machine learning (F201) • Assessed: Written paper • Content: This unit introduces students to handling large datasets and applying machine learning techniques. They’ll learn how to work with big data tools, explore machine learning algorithms, and understand how to process and analyse large volumes of data. Ethical con- siderations and real-world applications of AI and machine learning are also covered, prepar- ing students for careers in data science and AI-driven fields Spreadsheet data modelling (F202) • Assessed: Coursework-based • Content: This unit teaches students how to create and use spreadsheets for data analysis and modelling. They’ll learn techniques for organizing, analysing, and visualizing data, as well as applying formulas and functions to solve problems. The course emphasizes practical skills in designing spreadsheets for various scenarios, preparing students for effective data management and analysis in real-world applications. Data and the Internet of Everything (F204) • Assessed: Coursework-based • Content: This unit explores the role of data in the interconnected world of the Internet of Things (IoT). Students will learn how devices communicate, collect, and share data, as well as the impact of IoT on industries and daily life. The course covers data security, privacy is- sues, and the ethical implications of connected devices, equipping students with the knowledge needed for careers in IoT and data management. Data visualisation (F205) • Assessed: Coursework-based • Content: This unit focuses on the techniques and tools for effectively presenting data visual- ly. Students will learn how to create compelling charts, graphs, and dashboards to communi- cate insights clearly and effectively. The course emphasizes best practices in design and storytelling with data, enabling students to transform complex information into understanda- ble visual formats for diverse audiences.