PREPARATION PACK 2026 KEY CONCEPTS
AND REVISION NOTES
◉ What does descriptive analytics do? Answer: Describes what has
happened in the past using techniques like data queries, reports, and
data visualization.
◉ What is an example of a descriptive analytics technique? Answer:
Data dashboards that display tables, charts, and summary statistics.
◉ What is predictive analytics? Answer: Techniques that use past
data to predict future outcomes or the impact of variables.
◉ What are some methods used in predictive analytics? Answer:
Linear regression, time series analysis, and supervised learning
techniques.
◉ What does prescriptive analytics indicate? Answer: A course of
action to take based on predictive models combined with rules.
◉ What are optimization models? Answer: Models that provide the
best decision subject to constraints.
, ◉ What is big data? Answer: Data sets that are too large or complex
for standard data-processing techniques.
◉ What are the four Vs of big data? Answer: Volume, velocity,
variety, and veracity.
◉ What is Hadoop? Answer: An open-source programming
environment that supports big data processing.
◉ What is cloud computing? Answer: Using data and software on
external servers via the internet.
◉ Why is data security important in cloud computing? Answer: To
protect confidential data from unauthorized access and destructive
forces.
◉ What is artificial intelligence (AI) in the context of big data?
Answer: Using big data and computers to make decisions that would
have required human intelligence.
◉ What is the role of data scientists? Answer: Analysts trained in
computer science and statistics who process and analyze large data
sets.