Starting Data Science

  Welcome to Starting Data Science

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days after you enroll

• Course Syllabus and Details Start
• Welcome Video (12:34) Start
• How to Rapidly Master Data Science (31:44) Start
• Install R and RStudio (3:26) Start
• Install Tidyverse Package Start
• Install startingDataScience Package Start
• Install Anki (2:09) Start

  Base R

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days after you enroll

• Variables (16:09) Start
• Data Types (13:32) Start
• Vectors (7:55) Start
• Calculating with R (13:46) Start
• Math and Statistics Functions (12:18) Start
• Logic (18:45) Start
• R Data Frames (18:42) Start
• How to Practice with Anki (35:22) Start

  Data Visualization Part 1

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days after you enroll

• Essential Data Visualization Theory (14:59) Start
• ggplot Syntax Basics (14:40) Start
• Five Essential Data Visualizations (56:17) Start
• Manipulating Size, Color, and Transparency (50:06) Start
• Position Adjustments (21:26) Start
• Flashcard Practice: Data Visualization 1 (11:31) Start

  Data Visualization Part 2

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days after you enroll

• Faceting (AKA, small multiple charts) (34:05) Start
• Building Plots in Layers (18:08) Start
• Scales and Color Scales (46:08) Start
• Formatting and Themes (27:44) Start
• Flashcard Practice: Data Visualization 2 (13:42) Start

  Data Manipulation, Part 1

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days after you enroll

• Dplyr Data Manipulation (50:45) Start
• Lubridate Date Manipulation (38:51) Start
• String Manipulation with stringr (43:48) Start
• Factor Manipulation with forcats (43:24) Start
• Flashcard Practice: Data Manipulation part 1 Start

  Data Manipulation, Part 2

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days after you enroll

• Reading in Data with readr (28:42) Start
• Data Reshaping with tidyr (32:50) Start
• Joining Datasets Together (23:57) Start
• Flashcard Practice: data manipulation 2 Start

  Putting the Pieces Together

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days after you enroll

• Putting the Pieces Together (9:50) Start
• Combining Syntax with the "Pipe" Operator (7:50) Start
• Data Techniques Using Combined Syntax (42:33) Start
• Flashcard Practice: combining syntax Start

  Data Analysis in R

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days after you enroll

• The Process of Data Analysis (12:32) Start
• Defining Analytical Objectives (13:39) Start
• Data Preparation (13:34) Start
• Data Preparation: supercars case study (38:41) Start
• Data Exploration and Finding Insights (17:31) Start
• Data Exploration Case Study: analyzing supercar data (24:59) Start

  Bonus Vault: Data Visualization Teardowns

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days after you enroll

• USA Movers [Map Teardown] (6:37) Start
• Fed Balance Sheet [Line Chart Teardown] (4:40) Start
• US Cities, Municipal Debt [Bar Chart Teardown] (5:37) Start

  Bonus Vault: Answers to Student Questions

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days after you enroll

• Grouped Mean of Multiple Variables (Natascha B.) (4:56) Start

  Bonus Section: Example Projects

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days after you enroll

• Presidential ranking heatmap (Wikipedia Data) (14:17) Start

  BONUS VAULT: More Data Visualization Tips and Strategies

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• 5 Visualization Mistakes That Make You Look Like an Amateur Start
• 5 Ways to Improve Your Visualizations Start

  We'd love to get your feedback ...

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• Please leave your feedback here Start