Overview
Do you want to acquire the quantitative skills needed for your job or research? Mastering statistics for decision making is here for you!
This course will equip you with fundamental skills that will enable you to understand simple to complex statistical analysis directly applicable to real-life situations. The course is structured to take you on a tour through Descriptive to Inferential Statistics. The participants can use the acquired theoretical skills to display, analyse and explore relationships. This course is in two modules; the first module covers Descriptive to Categorical Data Analysis, and the second module entails Inferential Statistics to Linear Statistical Modelling (Classical and Machine techniques).
Course Content
Module I
- Introduction to Statistics
- Survey Organization and Sampling Methods
- Data management and Quality checks
- Data cleaning
- Data validation
- Data manipulation using SQL
- Descriptive Statistics
- Chi squared Cross tabulations and contingency tables.
- Plotting of graphs
- Tests of Proportions (Qualitative Inference)
- Chi squared test of independence
- Correspondence Analysis
Module II
- Test of univariate normality
- Inference
- Parametric (One sample t-test, paired and independent sample t-test, One and two way ANOVA).
- Non parametric (Wilcoxon, Mann Whitney, Kruskal wallis, McNemar’s tests).
- Modelling – Classical Statistical Models
- Simple Linear regression
- Multiple Linear regression
- Weighted Least Squares
- Classical and Machine Learning Predictive Models
- Classical and Machine Learning Classification Models
- Two-way cluster analysis
- Decision Trees
- Random Forest
- Neural Networks.