Quantitative Techniques

In this eLearning module on Quantitative Techniques, you will learn some of the most commonly used quantitative techniques, such as the Time value of Money, Measures of Central Tendency, Dispersion, Skewness and Kurtosis and Probability Distributions.

 

Coverage and structure for eLearning module

 

Topic

Sub-topic

Time Value of Money 

  • Overview of Time Value of Money
  • Calculating Simple Interest
  • Calculating Compound Interest
  • Future Value  (Fixed Deposits)
  • Future Value (Recurring Deposits)
  • Present Value (Fixed Deposits)
  • Present Value (Recurring Returns)

Central Tendency

  • What is Central tendency of data?
  • Mean
  • Median
  • Mode

Statistical Dispersions

  • Measures of Dispersion
  • Range
  • Variance (Population and Sample)
  • Standard Deviation
  • Chebyshev’s Inequality Theorem
  • Co-efficient of Variation
  • Covariance
  • Correlation
  • Regression
  • Central Moments
  • Skewness
  • Skewed Distribution
  • Location of mean, median, and mode
  • Kurtosis
  • Excess Kurtosis

Probability Distribution

  •  What is Probability
  • Overview of Probability Distribution
  • Key Properties of Probability Distribution
  • Probability Concepts
  • Functions of Random Variable
  • Random Variable Distributions
  • Uniform Distribution
  • Binomial Distribution
  • Binomial Model in Finance
  • Normal Distribution
  • Normal Distribution – Confidence Level
  • Standard Normal Distribution

 

 

Module Fees: Rs. 2500/-                                  Access period: 3 months                                 Learning time:  3 hours

 

 

Steps to purchase

 

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  • Once your account is set up, search for "Quantitative Techniques" from the search bar
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Features of eLearning modules:

 

 

Real life case studies

 

Real life case studies built leveraging our expertise in research, ratings & risk solutions

 

Expert Speak

 

Insights incorporated in eLearning, based on 15+ years of classroom training experience

 

Glossary & Resources

 

End to end structure comprising basic definitions to advanced readings

 

Visuals for workflows

 

Use of visuals to show a complex process or workflow

 

Interactive examples

 

Interspersed with practice exercises and interactive examples to help apply concepts

 

Knowledge checks

 

Knowledge checks at the end of each topic to ensure absorption of concepts

 

Animations

 

Animations & Characters to make complex concepts easy to learn

 

Gamification

 

Final assessment questions & gamification at the end of the module to ensure learning objectives are met