1-10

Question 1

Data Collection

Answer 1

Gathering relevant data from various sources.

Question 2

Data Cleaning

Answer 2

Identifying and correcting data errors or inconsistencies in the dataset to ensure accurate and reliable analysis.

Question 3

Data Science

Answer 3

The study of data to extract meaningful insights to drive business decision-making.

Question 4

Data transformation

Answer 4

Converting raw data into a usable format suited for analysis.

Question 5

Data Modeling

Answer 5

The process of visually representing data and its relationships.

Question 6

Data Integration

Answer 6

The process of combining data from different sources to create a single, unified view.

Question 7

Data Visualization

Answer 7

The graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualisation tools provide an accessible way to see and understand trends, outliers, and patterns in data.

Question 8

Inferential Statistics

Answer 8

Used to draw conclusions and make inferences after analysing data collected in surveys.

Question 9

Probability

Answer 9

A number that reflects the chance or likelihood that a particular event will occur.

Question 10

Hypothesis

Answer 10

A hypothesis is a prediction or assumption that can be tested to see if it’s true.