UGC

Course Introduction
Week 01 Introduction
Module 01- Section 01: Introduction, Scope and Philosophical Framework
Module 01- Section 02: Critical Thinking
Module 01- Section 03: Scientific methodology
Module 02- Section 01: Types of Studies - Observational Studies
Module 02- Section 02: Types of Studies - Experimental Studies
Module 02- Section 03: Types of Studies - Classification Based on Data Analysis
Week 01-Summary
Week 02-Introduction
Module 03 Section 01: Variables
Module 03 Section 02: Levels of Measurements
Module 03 Section 03 : Permissible transforms and permissible statistics
Module 04 - Section 01: Introduction to Data Summarization
Module 04 - Section 02: Frequency Distribution Tables
Module 04 - Section 03: Contingency Tables and Summary Tables
Week 02-Summary
Week 03-Introduction
Module 05 - Section 01: Frequency Distribution Graphs
Module 05 - Section 02: Univariate Graphs
Module 05 - Section 03: Multivariate and Specialist Graphs
Module 06 - Section 01: Charting With Excel
Module 06 - Section 02: Excel Part 2
Week 03-Summary
Week 04- Introduction
Module 7 - Section 1 : Descriptive Statistics: Point Estimates (Introduction, Mean)
Module 7 - Section 2 : Descriptive Statistics: Point Estimates (Median and Mode)
Module 7- Section 3 : Descriptive Statistics: Point Estimates (Percentiles)
Module 8 - Section 1 : Descriptive Statistics: Interval Estimates
Module 8 - Section 2 : Descriptive Statistics: Interval Estimates
Module 8 - Section 3: Descriptive Statistics: Interval Estimates
Module 9 - Section 1 - Error Bars
Module 9 - Section 2 - GraphPad Prism
Module 9 : References and Links
Week 04- Summary
Week 05- Introduction
Module 10 - Section 1 : Moments
Module 10 - Section 2: Normality Tests
Module 10 - Section 3: Outliers
Module 10 - Section 4: Normality test in Prism
Module 10 - Section 5: Outlier test in Prism
Module 10 - Reference and Links
Module 11: Section 1: Theory of CI and CI of Mean
Module 11: Section 2: CI of Standard Deviation, Binomial Distribution and Poisson Distribution
Module 11: References and Links
Week 05- Summary
Week 06- Introduction
Module 12 - Section 1: Statistical Hypothesis Testing
Module 12 - Section 2: False positive and false negative
Module 12 - References and Links
Module 13 - Section 1: Significance Level, P Values, Statistical Significance
Module 13 - Section 2: P value fallacies, Data torture
Module 13 - References and Links
Module 14 - Section 1: Relationship between CI and P values
Module 14 : Section 2: Testing for Equivalence and Noninferiority
Module 14 - References and Links
Week 06- Summary
Week 07-Introduction
Module 15 - Section 1: Statistical Power, Beta and FDR
Module 15 - Section 2: Choosing the Right Sample Size
Module 15 - References and Links
Module 16 - Section 1: t-Distribution
Module 16 - Section 2: Independent t-test
Module 16 - Section 3: Paired t-Test
Module 16 - References and Links
Module 17 - Section 1: F-Distribution
Module 17 - Section 2: ANOVA
Module 17 - References and Links
Module 18: Post Hoc Tests
Module 18 - References and Links
Week 07-Summary
Week 08-Introduction
Module 19 - Section 1: Ï‡2 :Distribution and Ï‡2 test of Independence
Module 19 - Section 2: Ï‡2 test of Goodness of Fit
Module 19 - References and Links
Module 20 - Section 1: Proportions, Rates
Module 20 - Section 2: Risk, NNT, Odds Ratio, Fisherâ€™s Exact test and Binomial test
Module 20 - References and Links
Module 21 - Section 1: Continuous probability distributions: Gaussian and Lognormal Distributions
Module 21 - Section 2: Discrete probability distributions: Binomial and Poisson Distributions
Module 21 - References and Links
Week 08-Summary
Week 09-Introduction
Module 22 - Section 1: Pearsonâ€™s Correlation
Module 22 - Section 2: Multiple Correlation and PCA
Module 22 - References and Links
Module 23 : Section 1: Regression Vs. Correlation
Module 23 : Section 2: Simple Linear Regression
Module 23 : Section 3: Mistakes to avoid in Simple Linear Regression
Module 23 : References and Links
Module 24 : Section 1: Non-linear Regression
Module 24 : Section 2: Multiple Regression
Module 24 : Section 3: Logistic Regression
Module 24 : References and Links
Week 09-Summary
Week 10-Introduction
Module 25 : Section 1: Mann-Whitney U Test and Wilcoxon matched-pairs signed-rank test
Module 25 : Section 2: Kruskal-Wallis Test and Spearmanâ€™s Rank Correlation Test
Module 25 : Section 3: Choosing between parametric and non-parametric tests
Module 25 : References and Links
Module 26 : Section 1: FCP and Permutations
Module 26 : Section 2: Combinations
Module 26 : References and Links
Week 10-Summary
Week 11-Introduction
Module 27 : Section 1: Probability-Basics
Module 27 : Section 2: Addition Rule and Mathematical Expectation
Module 27 : References and Links
Module 28 : Section 1: Likelihood
Module 28 : Section 2: Bayesâ€™ Theorem
Module 28 : Section 3: Probability Trees
Module 28 : References and Links
Week 11-Summary
Week 12-Introduction
Module 29 : Section 1: Excel Overview
Module 29 : Section 2: Excel Data Summarization
Module 29 : Section 3: Excel Comparing Means
Module 29 : Section 4: Excel Regression
Module 29 : Section 5: Excel Cat tests
Module 29 : Section 6: GraphPad Prism: Introduction
Module 29 : Section 7: GraphPad Histo Normality
Module 29 : Section 8: GraphPad t ANOVA
Module 29 : Section 9: GraphPad Plotting significance
Module 29 : Section 10: GraphPad Regression
Module 29 : Section 11: GraphPad Tests for Categorical
Module 29 : References and Links
Module 30 : Section 1: Key concepts of Statistics
Module 30 : Section 2: Statistical pitfalls to avoid
Module 30 : References and Links
Week 12-Summary

PG Courses - Biostatistics and Mathematical Biology

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