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Module 1 The certified biostatistician 2026

Lesson 1 module 1 baby steps

8 Lessons

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Welcome to the certified Biostatistician

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Lesson 1.1 What R?

For clinical researchers and pharmacists, this distinction matters. Every core function in R reflects a decision made by someone who cared deeply about how data is handled, interpreted, and communicated.

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Lesson 1.2 Install R and R studio

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Lesson 1.3 The history of R

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Lesson 1.4 RStudio opens with four panes on screen

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Lesson 1.5 R does math :)

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Lesson 1.6 Difference between the academic and industry pathways

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Five exercises covering everything from Lecture 1.

Lesson 2 data types and more

6 Lessons

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Lesson 2.1 What Is Data? Constants vs. Variables

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Lesson 2.2 Types of variables

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Lesson 2.3 Atomic Data Types in R: How R Stores Information

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Lesson 2.4 Vectors in R: Creating, Filling, and Slicing

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Lesson 2.5 Lists, Matrices, and Data Frames in R

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Interactive R session on Lesson 2 module 1

Lesson 3 Knowing Your Structure, know your data

6 Lessons

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A recape for lesson 2 module 1

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Lesson 3.1 dim() and length():

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Lesson 3.2 Renaming Rows and Columns

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Lesson 3.3 Combining Data Side-by-Side or Top-to-Bottom

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Lesson 3.4 When R Silently Changes Your Data

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Interactive R session on Lesson 3 module 1

Lesson 4 Boring equation to smart function

4 Lessons

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Lesson 4.1 What Is a Function?

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Lesson 4.2 Writing Your First User-Built Function

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Lesson 4.3 Defaults, Naming, and Partial Matching

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Interactive R session on Lesson 4 module 1

Lecture 5 Stop Repeating Yourself

4 Lessons

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Lesson 5.1 The apply Family

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Lesson 5.2 lapply() and sapply(): Lists, Vectors, and When to Use Each

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Lesson 5.3 Working with the iris Dataset

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Interactive R session on Lesson 5 module 1

Lesson 6 what will fail, how to rescue

4 Lessons

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Lesson 6.1 When sapply Fails: vapply to the Rescue

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Lesson 6.2 The Split-Apply-Combine Pattern

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Lesson 6.3 Building a Publication-Ready Group Summary Table

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Interactive R session on Lesson 6 module 1

Lecture 7 Cross Tabulation, If & else Do Something When True

4 Lessons

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Lesson 7.1 Counts, Proportions, and Table 2

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Lesson 7.2 Single-Value Conditional Logic

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Lesson 7.3 Vectorised Conditions for Clinical Outcome Classification

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Interactive R session on Lesson 7 module 1

Lesson 8 control structures (if-else covered, now: for, while, nested, repeat, break, next, return)

2 Lessons

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Lesson 8.1 Repeating Actions a Known Number of Times

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Lesson 8.2 Repeat Until the Condition Fails

About the teacher

Nouran Hamza

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