Thanks to visit codestin.com
Credit goes to www.slideshare.net

Introduction to Computing & Analytics
Types of Analytics & Quantitative Reasoning
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.
Importance of Analytics
• Transforms raw data into useful
information.
• Supports evidence-based decisions.
• Improves efficiency & competitiveness.
• Example: Healthcare analytics improving
patient care.
Types of Analytics
• Descriptive Analytics – What happened?
• Diagnostic Analytics – Why did it happen?
• Predictive Analytics – What will happen?
• Prescriptive Analytics – What should we
do?
Descriptive Analytics
• Focus: past data, summarizing trends and
patterns.
• Tools: dashboards, reports, statistics.
• Example: Monthly sales report showing
revenue trends.
Dashboard
Report
Statistics
Diagnostic Analytics
• Focus: causes of outcomes.
• Methods: data mining, correlation, root
cause analysis.
• Example: Analyzing why website traffic
dropped in June.
Predictive Analytics
• Focus: forecasting future outcomes.
• Uses machine learning & statistical
models.
• Example: Predicting customer churn for a
telecom company.
Prescriptive Analytics
• Focus: suggesting best course of action.
• Tools: optimization, simulation, AI.
• Example: Recommending best pricing
strategy for profit.
Introduction to Quantitative Reasoning
• Definition: ability to use math & logic to
solve real-world problems.
• Involves interpreting numbers, graphs, and
data.
• Essential in business, science, and daily
life.
Why Quantitative Reasoning Matters?
• Improves critical thinking and problem-
solving skills.
• Supports data-driven decisions.
• Reduces bias and reliance on
assumptions.
• Example: Evaluating investment options
using ROI.
Applications of Quantitative Reasoning
• Business: ROI analysis, financial planning.
• Healthcare: risk assessment, treatment
outcomes.
• Education: evaluating student
performance.
• Daily life: budgeting or interpreting news
data.
Summary
• Computing & Analytics transform data into
insights.
• Four types of analytics: Descriptive,
Diagnostic, Predictive, Prescriptive.
• Quantitative reasoning is essential for
logical, data-driven decisions.
Q & A
• Any Questions?
• Thank you for your attention!
Quantitative Reasoning Measure
The Quantitiative reasoning measure
assess:
General Problem Solving Steps
Step 1: Understand the 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
For example
• Find the 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
Step 2: Carry out 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
Step 3: Check your answer
After evaluating the result, it is necessary to
1. check the answers relevancy
2. check for its truthfulness
3. check for its reasonability
Solving Arithmetic Problems
• Numbers
• BODMAS Rule
• Solving fractions
• Solving Decimals
• Percentage
• Rounding off
• Exponents
• Radicals
Strategies to solve the Mathematical
Problems
There are forteen strategies to solve the
mathematics problems but not set of rules to
apply:
Example
Example
Example
Find the Greatest side of the triangle
Example
Example
Example
Which one is greater?
Quantity A or B
228
Example
Which quantity is greater?
quantity A or B
Example
Example
6cm
9cm
6cm
Find area of triangle?
Example
Example
Strategy 9 (Example)
Which one is greater?
Quantity A or B
Strategy 10
Strategy 10:
Example (Which is greater A or B?)
Example
Example
• Which of the following could be the units
digit of 63n
, where n is a positive integer?
Indicate all such digits.
Strategy 13: Determine Whether 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
Practice Questions of comparison
Assignment 1
Task 2
Practice Exercise Question 1 to 31
Barron GRE 12th Edition
page no. 290 to 293
Task 1

Introduction_to_Computing_Analytics (GRE).pptx

  • 1.
    Introduction to Computing& Analytics Types of Analytics & Quantitative Reasoning
  • 2.
    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?
  • 5.
    Descriptive Analytics • Focus:past data, summarizing trends and patterns. • Tools: dashboards, reports, statistics. • Example: Monthly sales report showing revenue trends.
  • 6.
  • 7.
  • 8.
  • 9.
    Diagnostic Analytics • Focus:causes of outcomes. • Methods: data mining, correlation, root cause analysis. • Example: Analyzing why website traffic dropped in June.
  • 11.
    Predictive Analytics • Focus:forecasting future outcomes. • Uses machine learning & statistical models. • Example: Predicting customer churn for a telecom company.
  • 13.
    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!
  • 20.
    Quantitative Reasoning Measure TheQuantitiative reasoning measure assess:
  • 21.
  • 22.
    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
  • 26.
    Solving Arithmetic Problems •Numbers • BODMAS Rule • Solving fractions • Solving Decimals • Percentage • Rounding off • Exponents • Radicals
  • 27.
    Strategies to solvethe Mathematical Problems There are forteen strategies to solve the mathematics problems but not set of rules to apply:
  • 29.
  • 31.
  • 32.
    Example Find the Greatestside of the triangle
  • 34.
  • 36.
  • 38.
    Example Which one isgreater? Quantity A or B 228
  • 39.
    Example Which quantity isgreater? quantity A or B
  • 40.
  • 42.
  • 44.
  • 46.
  • 48.
    Strategy 9 (Example) Whichone is greater? Quantity A or B
  • 49.
  • 50.
    Strategy 10: Example (Whichis greater A or B?)
  • 52.
  • 54.
    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
  • 61.
  • 65.
    Assignment 1 Task 2 PracticeExercise Question 1 to 31 Barron GRE 12th Edition page no. 290 to 293 Task 1