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Jumpstart with R
Welcome to Jump Start with R!
Jump Start with R! (1:33)
Course Certificate - Instructions
Prerequisites
Prerequisites
Getting Help
Getting Help (IMPORTANT!!!)
1.1 Goal: Better Serving Customers With Data
The Business Case (0:54)
1.2 What Tools Are In Our Toolbox?
🔽 The ULTIMATE R Cheatsheet (File Download) (2:14)
How To Use The ULTIMATE R Cheatsheet (2:39)
1.3 Data Science Project Setup
Installing R & RStudio IDE, Part 1: Installing R (3:06)
Installing R & RStudio IDE, Part 2: The RStudio IDE (3:03)
RStudio IDE: Setup & Customization (5:40)
🔽 Setting Up The Project (File Download) (2:38)
Project Directory Structure & Contents (5:25)
🔽 Installing R Packages (File Download) (11:47)
Package Installation Checkpoint
1.4 Transactional Database Primer
Who Should Watch This?
Transactional Data: What Is It? What Will We Do With It In This Course? (1:41)
Orders: The Building Blocks Of Transactional Data (File Download) (3:53)
Database 101: The Entity Relationship Diagram (ERD) (2:14)
Understanding Database Relationships (6:18)
1.5 Sales Analysis - Diving In!
Read This! - Jumpstart Intent
Overview (1:27)
🔽 Setup (File Download) (4:40)
1.5.1 Sales Analysis, Part 1 - Importing, Examining, & Joining Data
Importing Excel Files (6:18)
Examining Data: Console, Data Window, glimpse() (4:27)
Data Model (1:12)
Joining Data, Part 1: Combining 2 Tibbles With left_join() (6:04)
Joining Data, Part 2: Combining Multiple Tibbles With The Pipe (5:07)
🔽 Code Checkpoint: Joining Data (File Download)
1.5.2 Sales Analysis, Part 2 - Wrangling Data With dplyr
Wrangling Data Overview (3:00)
Splitting Description Into Category 1, Category 2, & Frame Material: separate() (4:35)
Splitting Location Into City & State: separate() (1:55)
Adding Total Price Column: mutate() (2:41)
Removing Unnecessary Columns: select() (3:59)
Getting The Order ID Column Back: bind_cols() (2:34)
Reordering Columns: select() (4:53)
Renaming Columns: rename() & set_names() (5:28)
Storing The Wrangled Data (1:10)
🔽 Code Checkpoint: Wrangling Data (File Download)
1.5.3 Sales Analysis, Part 3 - Visualizing Data With ggplot2
Sales Analysis Visualizations Overview (1:19)
Sales By Year: Data Manipulation (7:23)
Sales By Year: ggplot geometries (10:28)
Sales By Year: ggplot2 formatting (5:45)
Sales By Year & Category 2: Data Manipulation (7:11)
Sales By Year & Category 2: ggplot geometries + facet_wrap (6:45)
Sales By Year & Category 2: ggplot2 Formatting (5:38)
🔽 Code Checkpoint: Visualizing Data (File Download)
1.5.4 Visualization Process & Saving Key Data
🔽 Data Visualization Process (File Download) (1:38)
Writing Files: Excel, CSV, RDS (7:32)
🔽 Code Checkpoint: Writing Files (File Download)
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The Business Case
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