Page 172 - CodePilot V5.0 C8

SPREADSHEETS
Spreadsheets like Excel and Google Sheets help collect, organise, clean, analyse and display data.

They remove duplicates, fix errors, handle missing values, use functions like SUM and AVERAGE
and create charts to show data patterns clearly.

QR QUEST

Visit the given link
to learn the role of Data Science:
https://www.youtube.com/
watch?v=RBSUwFGa6Fk
Answer the given questions:
1. Why is Data Science
important?
2. What is the first step in the
data science life cycle?

FORMS AND SURVEYS
Forms and surveys are essential tools in data science for
collecting structured data directly from people. Tools like

Google Forms, SurveyMonkey and Microsoft Forms allow
users to create custom questionnaires and collect responses
online. These can be linked to a spreadsheet for analysis.

BASICS OF PYTHON FOR DATA SCIENCE

Python is a popular programming language used in data science.
It is powerful, easy to learn and helps data scientists to handle large
datasets, perform calculations and create graphs.
Common uses of Python in Data Science are:

Data processing: Cleaning and organising data.
Data analysis: Calculating totals, averages and identifying patterns.

Data visualisation: Creating graphs and charts.

DATA DASHBOARDS

A dashboard is a visual tool that helps us quickly understand
important information using charts, graphs and tables, instead
of going through long reports. It makes it easy to spot trends,
patterns and insights.

170
CodePilot (V5.0)-VIII