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    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.

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