Data science with R: tidyverse

Course Curriculum

Chapter 1: tidyverse essentials (dplyr & tidyr)

Lecture 1: Section intro

Lecture 2: Datascience & tidyverse

Lecture 3: Data transformation

Lecture 4: Manipulate variables (columns) – select(), rename() – part 1

Lecture 5: Manipulate variables (columns) – select(), rename() – part 2

Lecture 6: mutate(), transmute() – part 1

Lecture 7: mutate(), transmute() – part 2

Lecture 8: Manipulate cases (rows) – filter(), slice() – part 1

Lecture 9: Manipulate cases (rows) – filter(), slice() – part 2

Lecture 10: arrange() – part 1

Lecture 11: arrange() – part 2

Lecture 12: distinct() – part 1

Lecture 13: distinct() – part 2

Lecture 14: Sample rows – part 1

Lecture 15: Sample rows – part 2

Lecture 16: summarise() – part 1

Lecture 17: summarise() – part 2

Lecture 18: group_by(), count() – part 1

Lecture 19: group_by(), count() – part 2

Lecture 20: Pipe operator: %>% – part 1

Lecture 21: Pipe operator: %>% – part 2

Lecture 22: Rotate columns – pivoting – part 1

Lecture 23: Rotate columns – pivoting – part 2

Lecture 24: Separate & unite columns – part 1

Lecture 25: Separate & unite columns – part 2

Lecture 26: dplyr & tidyr in action – part 1

Lecture 27: dplyr & tidyr in action – part 2

Lecture 28: dplyr & tidyr in action – part 3

Lecture 29: Section summary and assignment

Lecture 30: Assignment walkthrough – part 1

Lecture 31: Assignment walkthrough – part 2

Lecture 32: Additional content

Chapter 2: Data Import (readr & tibble)

Lecture 1: Section intro

Lecture 2: Table called tibble – part 1

Lecture 3: Table called tibble – part 2

Lecture 4: Create a tibble – part 1

Lecture 5: Create a tibble – part 2

Lecture 6: data.frame VS tibble – part 1

Lecture 7: data.frame VS tibble – part 2

Lecture 8: Import data with readr

Lecture 9: Read files – part 1

Lecture 10: Read files – part 2

Lecture 11: Vector parsing – part 1

Lecture 12: Vector parsing – part 2

Lecture 13: File parsing – part 1

Lecture 14: File parsing – part 2

Lecture 15: Other useful import libraries – part 1

Lecture 16: Other useful import libraries – part 2

Lecture 17: Write files – part 1

Lecture 18: Write files – part 2

Lecture 19: Section summary and assignment

Lecture 20: Assignment walkthrough – part 1

Lecture 21: Assignment walkthrough – part 2

Chapter 3: Data Wrangle: strings – factors (stringr & forcats)

Lecture 1: Section intro

Lecture 2: Strings inside tidyverse – part 1

Lecture 3: Strings inside tidyverse – part 2

Lecture 4: Strings matching – part 1

Lecture 5: Strings matching – part 2

Lecture 6: Strings subsetting – part 1

Lecture 7: Strings subsetting – part 2

Lecture 8: String lengths – part 1

Lecture 9: String lengths – part 2

Lecture 10: Strings mutating – part 1

Lecture 11: Strings mutating – part 2

Lecture 12: Joining and splitting strings – part 1

Lecture 13: Joining and splitting strings – part 2

Lecture 14: Other string helper functions – part 1

Lecture 15: Other string helper functions – part 2

Lecture 16: Regular Expressions – regex – part 1

Lecture 17: Regular Expressions – regex – part 2

Lecture 18: Regex: special characters and classes – part 1

Lecture 19: Regex: special characters and classes – part 2

Lecture 20: Regex: alternates, anchors and groups – part 1

Lecture 21: Regex: alternates, anchors and groups – part 2

Lecture 22: Regex: look arounds and quantifiers – part 1

Lecture 23: Regex: look arounds and quantifiers – part 2

Lecture 24: Regex: next steps

Lecture 25: Factors – part 1

Lecture 26: Factors – part 2

Lecture 27: Factors combine and order – part 1

Lecture 28: Factors combine and order – part 2

Lecture 29: Factors values change and add or drop levels – part 1

Lecture 30: Factors values change and add or drop levels – part 2

Lecture 31: Section summary and assignment

Lecture 32: Assignment walkthrough – part 1

Lecture 33: Assignment walkthrough – part 2

Lecture 34: Assignment walkthrough – part 3

Lecture 35: Assignment walkthrough – part 4

Chapter 4: Data Wrangle: dates / times (lubridate & hms)

Lecture 1: Section intro

Lecture 2: Date & time

Lecture 3: Create dates / times – part 1

Lecture 4: Create dates / times – part 2

Lecture 5: Components – part 1

Lecture 6: Components – part 2

Lecture 7: Rounding values and setting components – part 1

Lecture 8: Rounding values and setting components – part 2