Page 11 - TCS ICT Book 7

Data Analysis-Application Data Handling

Security

Data analytics applications, or, more specifically,
predictive analysis help in minimizing crime rates.

Delivery Student Learning Outcomes

Logistic companies are using data analysis to After going through this chapter, students will be able to:
examine collected data and improve their overall
efficiency. 1. Understand the concept of databases

2. Format data as table and use advance filters and sorting techniques on the data.

3. Understand and use relative and absolute references

Healthcare 4. Understand and correct error messages

Self-learning healthcare programs, are able to work on 5. Work with power and percentage formula
data of individual patients to provide a personalized 6. Format different types of chart
health recommendation. 7. Create pivot tables on a given data set

8. Generate different data sets by using selected headings and filters

9. Use slicer feature to create different data sets
10. Create pivot charts based on pivot table data

Urban Planning 11. Generate pivot charts on desired variables from the given data set using filters and slicers

Big Data allows urban planners to develop a new 12. Save and print the pivot table and charts
understanding of how cities function.
ISTE Student Standard Coverage

Empowered Computational Creative
Energy Consumption Learner Thinker Communicator

Data analysis allows smart meters to self-regulate 1a 1d 5a 5b 5d 6d
energy consumption for the most efficient energy use.