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Course Info

About this Course

This course is aimed to equip students with fundamental knowledge in biostatistics and basic data analytic skills necessary in the pharmaceutical area and to solve Big Data problems. The topics covered are related to basic concepts of statistics, epidemiology statistics and analysing data using data analytics software.

Course Syllabus

Descriptive Statistics
Population and Sample
Types of Data/Variables
Scale of Measurements
Frequency Distribution
Measures of Central Tendency & Measures of Dispersion
Property of Distributions

Probability Distributions
Discrete Probability Distributions
The Binomial Distribution
The Poisson Distribution
The Normal Distribution & Applications

Sampling Distributions
Distribution of sample means
Distribution of sample proportions
Confidence Interval
Determination of sample size

Hypothesis Testing
Population means
Population proportions
Population variances
Type of errors

Parametric Statistical Techniques
One sample T-tests
Two or more samples
ANOVA & Post-hoc Comparison
Related/Dependent (Paired samples t-tests and repeated measures)

Nonparametric Statistical Techniques
Chi-square Test
Sign Test
Wilcoxon-Signed Rank Test
Mann-Whitney U Test
Kruskal-Wallis Test

Correlation and Regression
Simple Linear Correlation
Pearson’s Product Moment Correlation Coefficient
Spearman’s Rank Correlation Coefficient
The Least-Squares Regression
Coefficient of Determination

An Overview of Epidemiology Statistics
Measures of disease frequency and rate
Study designs
Health Analytics

Introduction to Big Data and Data Analytics
Characteristics of Big Data
Data Analytics VS Data Science


Frequently Asked Questions

Q1 : How long is the duration of the course?
A1 : 8 weeks