Welcome To My

E-Tuition/Training!

The following subjects are taught me. Its a private space, thus you will find that they are password protected.

Should you find anything you need, please free to contact me!

 
 

Python Training

Day 1 - Fundamentals

  • Hello World

  • Data Types

  • Operators

  • Control Structures

  • Function

Day 2 - Fundamentals

  • Comprehension and Generators

  • File and Directory Handling

  • Object Oriented Programming

  • Database

  • Error Handling Exception

Day 3 - PANDAS

  • Topic 1 Data Preparation

  • Topic 2 Data Transformation

  • Topic 3 Data Visualization

  • Topic 4 Data Analysis

Day 4 - Statistics

  • Topic 1 Descriptive Statistics

  • Topic 2: Data Visualization with Seaborn

  • Topic 3 Hypothesis Testing with SciPy

  • Topic 4 Statistical Modeling with StatsModel

  • Topic 5 Bayesian Inference with PyMC3

 

Successful Sales: Foundational Techniques

  1. The Psychology of Selling

  2. Why People Buy

  3. Developing a Powerful Sales Personality

  4. Managing Your Time Efficiently

  5. Approaching the Prospect

  6. The Psychology of Closing

  7. When Objections Get in the Way

  8. Winning Closing Techniques

  9. 10 Keys to Success in Selling

  10. Troubleshooting: Why I Still Can’t Sell?

 

BUS107 - Quantitative Methods

  • Linear Programming (LP)

  • Forecasting

  • Decision Analysis

  • Numerical Simulation

  • Network Modeling

 

BUS105 - STatistics

  • Descriptive Statistics

  • Probability

  • Normal Distribution / Central Limit Theorem (CLT)

  • Confidence Interval (CI) + 1 and 2 Sample Hypothesis Testing

  • Multiple Regression (MR)

 

BUS351 - Operations Management

  • Operations Strategy

  • Product Design

  • Forecasting

  • Total Quality Management (TQM)

  • Process Design

  • Location Decision

  • Layout Analysis

  • Work Measurement

  • Inventory Management

  • Scheduling and Sequencing

  • Material Requirement Planning (MRP)

  • Enterprise Resource Planning (ERP)

  • Just In Time (JIT)

  • Reliability

 

Mth219 - Fundamentals of Statistics and Probability

  • Discrete Models:

    • Uniform

    • Bernoulli

    • Binomial

    • Geometric

    • Poisson

  • Continuous Models:

    • Uniform

    • Normal

    • Exponential

 

JC H2 Math - pURE mATH

  1. Function

  2. Graphing

  3. Inequalities

  4. Arithmetic and Geometric Progressions

  5. Sequences and Series

  6. Binomial Series

  7. Mathematical Induction

  8. Differentiation and its Applications

  9. Maclaurin’s Series

  10. Integration

  11. Differential Equations

  12. Vectors

  13. Complex Numbers

 
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JC H2 Math - Statistics

  1. Permutations and Combinations

  2. Probability

  3. Discrete Random Variables

  4. Binomial Distributions

  5. Normal Distribution

  6. Sampling Theory

  7. Hypothesis Testing

  8. Correlation and Regression

 

EFIM10014 - Quantitative Analysis in Management

  1. Mean, Median, Mode

  2. Probability and Random Variables

  3. Normal, Binomial and Poisson Distributions

  4. Sampling and Confidence Intervals

  5. Hypothesis Testing

  6. Regression - Model Building

  7. Regression - Model Validation

  8. Linear Programming

  9. Forecasting

 

Applied Business Math (SP Jain)

  1. Linear Equations

  2. Non Linear Equations

  3. Math of Finance

  4. Differentiation

  5. Partial Differentiation

  6. Integration

  7. Matrices

 

Engineering Math (NTU)

  1. Polar Coordinates and Complex Numbers

  2. Vectors and Matrices

  3. Limits and Continuity

  4. Derivatives

  5. Applications of Derivatives

  6. Basic Techniques of Integration & Numerical Integration

  7. Techniques: Integration by Parts & Trigonometric Integrals

  8. Techniques: Integration by Partial Fractions & Miscellaneous Substitutions

  9. Applications of Integrals: Plane Areas & Volumes of Solids of Revolution

  10. Applications of Integrals: Lengths of Plane Curves, Areas of Surface and Revolution & Improper Integrals

  11. Theorems in Calculus