This course is intended for all level of participants- Working professionals, post graduates, graduates of any discipline, secondary level school students who wish to master business statistics related to Data Science. To name a few, it involves various types of statistics, Hypothesis Testing, Error handling and Overcoming the same with alternate measures.
Core statistical concepts and skills will be augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
Topics include the following:
- 1 Sampling and Data
- 2 Descriptive Statistics
- 3 Probability Topics
- 4 Discrete Random Variables
- 5 Continuous Random Variables
- 6 The Normal Distribution
- 7 The Central Limit Theorem
- 8 Confidence Intervals
- 9 Hypothesis Testing with One Sample
- 10 Hypothesis Testing with Two Samples
- 11 The Chi-Square Distribution
- 12 F Distribution and One-Way ANOVA
- 13 Correlation
This course covers all of the main topics for a typical one semester Business Statistics course: descriptive statistics, probability, discreet and continuous distributions, central limit theory and confidence intervals, hypothesis testing for 1, 2, or many samples, Chi-Squared distributions