What is Computing& Analytics?
• Computing = using computers to process
& manage data.
• Analytics = systematic use of data to
generate insights.
• Helps in decision-making, problem-
solving, and innovation.
3.
Importance of Analytics
•Transforms raw data into useful
information.
• Supports evidence-based decisions.
• Improves efficiency & competitiveness.
• Example: Healthcare analytics improving
patient care.
4.
Types of Analytics
•Descriptive Analytics – What happened?
• Diagnostic Analytics – Why did it happen?
• Predictive Analytics – What will happen?
• Prescriptive Analytics – What should we
do?
Prescriptive Analytics
• Focus:suggesting best course of action.
• Tools: optimization, simulation, AI.
• Example: Recommending best pricing
strategy for profit.
15.
Introduction to QuantitativeReasoning
• Definition: ability to use math & logic to
solve real-world problems.
• Involves interpreting numbers, graphs, and
data.
• Essential in business, science, and daily
life.
16.
Why Quantitative ReasoningMatters?
• Improves critical thinking and problem-
solving skills.
• Supports data-driven decisions.
• Reduces bias and reliance on
assumptions.
• Example: Evaluating investment options
using ROI.
17.
Applications of QuantitativeReasoning
• Business: ROI analysis, financial planning.
• Healthcare: risk assessment, treatment
outcomes.
• Education: evaluating student
performance.
• Daily life: budgeting or interpreting news
data.
18.
Summary
• Computing &Analytics transform data into
insights.
• Four types of analytics: Descriptive,
Diagnostic, Predictive, Prescriptive.
• Quantitative reasoning is essential for
logical, data-driven decisions.
19.
Q & A
•Any Questions?
• Thank you for your attention!
Step 1: Understandthe Problem
• Whether the question is numeric or in
words?
• Identify the given quantities
• Identify the quantities to be find
• in which form the answer is to be present
23.
For example
• Findthe final result in?
2 x (5 + 8 - 9) / 4 - 1
a. First identify the type of question
b. Identify the technique to be used to solve
it
c. Identify the output form
24.
Step 2: Carryout a strategy for solving
the problem
Developing a strategy to solve a
mathematics problem is more than identify
the
• given information
• conditions and
• facts
because a single question may be solve
using different techniques
25.
Step 3: Checkyour answer
After evaluating the result, it is necessary to
1. check the answers relevancy
2. check for its truthfulness
3. check for its reasonability
Example
• Which ofthe following could be the units
digit of 63n
, where n is a positive integer?
Indicate all such digits.
55.
Strategy 13: DetermineWhether a Conclusion
Follows from the Information Given, a method for
logical reasoning and critical thinking.
• Strategy Overview:
• This strategy addresses problems where
you are presented with information and a
potential conclusion, and you need to
ascertain if the conclusion logically results
from the given information