Data Science
Data Visualisation
Intelligent systems
Enterprise Project
Data Modeling
100

This type of data is numerical and measurable, such as a person’s height.

What is quantitative data?


100

A chart showing data as slices to represent proportions is known as this.

pie chart

100

These AI programs mimic human decision-making using a knowledge base and inference engine.

What are expert systems?

100

A concise summary that outlines the requirements for a project

What is a problem definition?

100

This diagram represents entities and their relationships in a database.

What is an entity-relationship diagram (ERD)?

200

This level of measurement ranks data but does not quantify differences between ranks.

ordinal level of measurement

200
Refers to summarising data to present an overview rather than showing each individual data point.

What is data aggregation?

200

The process of breaking down problems, finding patterns, and creating algorithms is called this.



What is computational thinking?

200

This project implementation method involves using both old and new systems at the same time.

What is parallel system implementation method?

200

This diagram uses standard symbols like ovals, rectangles, and diamonds to show a process.




What is a flowchart?

300

Refers nto the process of collecitng, storing, and managing large volumes of structured data from various sources in a central repository. 

What is data warehousing?

300

This spreadsheet feature summarises and analyses data using rows, columns, and aggregates.

what is pivot table?

300

Extends traditional boolean logic by allowing partial truths. Instead of using binary True/False, it assigns values on a continuum (0 to 1).

What is Fuzzy Logic?

300

This implementation method trials a new system in one department before wider rollout.

What is a pilot implementation?

300

This diagram shows the flow of data between processes, data stores, and external entities.

What is a data flow diagram (DFD)?

400

An adaptive technique, where the system is designed to adapt and learn as new data is fed into the system.

What is machine learning?

400

Ensuring the accuracy, consistency, and reliability of data used in visualisations is called this.

What is data integrity?

400

Lightweight and designed for a communication protocol designed for constrained devices and low-bandwidth, high-latency networks.

Message Queuing Telemetry Transport (MQTT)

400

These are benchmarks used to evaluate a system’s success, such as usability or maintainability.

What are evaluation criteria?

400

This UML diagram shows the sequence of messages exchanged between objects over time.

What is a sequence diagram?

500

Advanced database mechanism that allows transparent info sharing within the business network. 

Data is stored in blocks linked together in a sequential chain, ensuring chronological consistency. Features include an immutable ledger which is decentralised and records transactions across multiple computers to enssure transparency and data security. 

What is Blockchain?

500

Authentication, Ecnryption, Firewalls, Anti-Malware Software

What are Data Security methods?

500

Data processing in an IoT network directly on the IoT device. It has reduced latency and bandwidth usage, enabling real-time design making. 

Edge Computing Processing

500

Offshore development

Remote work

Freelance work

Start Ups

What are features of changing nature of the development of enterprise projects?
500

These are partial system versions built to test and refine requirements before full development.

What are prototypes?