Lecture one (types of data)

Question 1

What is data analytics ?

Answer 1

Is the process of collecting, processing, and analysing data to find patterns, trend and insights for decision-making.

Question 2

Why is data analytics important for businesses ?

Answer 2

It helps businesses make data-driven decisions instead of guessing, improving efficiency and identifying opportunities or risks.

Question 3

what are the six key steps in data analytics ?

Answer 3

1. Collecting data
   2.Categorising data
2. storing data
   4.Extracting,Transforming, and Loading(ETL)
   5.Analysing data
   6.sharing insights

Question 4

What is the difference between data analytics and data analysis?

Answer 4

Data analytics: A broad field that includes collecting, analysing and making decisions with data.

Data analysis: A part of data analytics that focuses on cleaning, transforming and modelling data to extract insights.

Question 5

Name the five main types of data analysis

Answer 5

1. Text analysis(Data mining)
2. Statistical analysis
3. Diagnostic analysis
4. Predictive analysis
   5.prescriptive analysis

Question 6

Text analysis….(data minning)

Answer 6

examine large sets of data to find patterns trends or useful information.

Question 7

statistical analysis….

Answer 7

uses statistic numbers and calculation to understand data.

Question 8

continue definition….

Answer 8

1. Text analysis(Data mining)
2. Statistical analysis
3. Diagnostic analysis
4. Predictive analysis
   5.prescriptive analysis

Question 9

predictive analysis….

Answer 9

using data to predict future

Question 10

Diagnostic analysis….

Answer 10

Looks at past data to understand why something happen.

Question 11

What is data visualisation ?

Answer 11

The process of presenting data using graphs and charts to make it easier to undertsand

Question 12

Types of data visualization.

Answer 12

Bar graphs
Pie charts
Line charts
Heatmaps
Scatter plots

Question 13

what is descriptive data

Answer 13

1.Descriptive data- Collects and present data using tables, graphs to make it easy to understand.

Question 14

what is inferential statistics ?

Answer 14

2. inferential statistics- use sample data to make conclusions or prediction about a bigger population often with hypothesis testing.

Question 15

Two types of data

Answer 15

categorical qualitative data
Numerical quantitative data

Question 16

What is categorical data ?

Answer 16

data that describes group or categories, not numbers (e.g. colours, gender)

Question 17

What is numerical quantitative data ?

Answer 17

data that is measured in numbers and can be counted or calculated(e.g. 170cm,180cm) used for precise measurement.

Question 18

3 types of categorical data (qualitative)

Answer 18

1. nominal data-categories with no ranking or order.
2. ordinal data-categories that can be ranked but the gaps between them are not equal or measurable.
3. binary data- data with only two possible categories.

Question 19

2 types of numerical data (quantitative).

Answer 19

1. interval (continuous) data- you can count, order and measure it even with decimals
2. discrete data- can be counted but only in whole numbers (not decimals)