Applying Analytics in Banking & Financial Services (HSBC)

1
Welcome to Course
- A message from Woody Lewenstein (Your instructor)
2
Recordings: Live Sessions
- Resources
- RECORDING (OF LIVE SESSIONS) - Week 4 - Session 01 (September 19,2022)
- RECORDING (OF LIVE SESSIONS) - Week 4 - Session 02 (September 20,2022)
- RECORDING (OF LIVE SESSIONS) - Week 4 - Session 03 (September 21,2022)
- RECORDING (OF LIVE SESSIONS) - Week 4 - Office Hours (September 22,2022)
3
Module 1: Descriptive Statistics
- Segment - 01 - Mean
- Quiz - 01 - Mean
- Segment - 02 - Median
- Quiz - 02 - Median
- Segment - 03 -Mode
- Quiz - 03 - Mode
- Segment - 04 - Comparing Averages
- Quiz - 04 - Comparing Averages
- Segment - 05 -Quantiles, Range and IQR
- Quiz - 05 - Quantiles, Range and IQR
- Segment - 06 - Standard Deviation and Variance
- Quiz - 06 - Standard Deviation
- Segment - 07 - Coefficient of Variation
- Quiz - 07 - Coefficient of Variation
- Segment - 08 - Skew
- Quiz - 08 - Skew
- Segment - 09 - Kurtosis
- Segment - 10 - Correlation
4
Module 2: Bayesian Statistics
- Segment - 12 - Bayesian vs Frequentist Models
- Segment - 13 - Conditional Probability Introduction
- Segment - 14 - Conditional Probability with Venn Diagrams
- Segment - 15 - Conditional Probability with Tree Diagrams
- Segment - 16 - Tree Diagram Example
- Segment - 17 -Conditional Probability with Normal Distributions
- Segment - 18 - Counterintuitive Results
- Segment - 19 - Developing Bayes' Theorem part 1
- Segment - 10 -Developing Bayes' Theorems part 2
- Segment - 21 - Thomas Bayes' Puzzle
- Segment - 22 - The Bayesian Response
- Segment - 23 - Simulating Bayes' Puzzle in Excel
- Segment - 24 - Module Summary
5
Module 3: Distributions and Hypothesis Tests
- Segment - 25 - Normal Distribution Properties
- Segment - 26 - Normal Distribution Calculations
- Segment - 27 - Normal Distributions Inverse
- Segment - 28 - Normal Distribution Z Scores
- Segment - 29 - Expected Value
- Segment - 30 - Law of Large Numbers
- Segment - 31 - Central Limit Theorem
- Segment - 32 - CLT Limitations
- Segment - 30 - Hypothesis Tests
- Segment - 34 - Two-Tailed Tests
- Segment - 35 - Type I and Type II Errors
- Segment - 36 - Bivariate Data

Statistics and Mathematics for Data Science (HSBC)

In this course, we provide delegates with a framework that will enable them to become effective project, program, and client advisors and managers and apply this framework in the banking and financial services sectors.

Course curriculum

Welcome to Course

Recordings: Live Sessions

Module 1: Descriptive Statistics

Module 2: Bayesian Statistics

Module 3: Distributions and Hypothesis Tests