ids_labs

IDS Labs for Introduction to Data Science v 5.0

Introduction to Data Science

Links to the slides used in the labs are listed below

Unit 1

Lab 1A - Data, Code & RStudio

Lab 1B - Get the picture?

Lab 1C - Export, Upload, Import

Lab 1D - Zooming Through Data

Lab 1E - What’s the Relationship?

Lab 1F - A Diamond in the Rough

Lab 1G - What’s the FREQ?

Lab 1H - Our Time

Unit 2

Lab 2A - All About Distributions

Lab 2B - Oh the Summaries…

Lab 2C - Which Song Plays Next?

Lab 2D - Queue It Up!

Lab 2E - The Horror Movie Shuffle

Lab 2F - The Titanic Shuffle

Lab 2G - Getting It Together

Lab 2H - Eyeballing Normal

Lab 2I - R’s Normal Distribution Alphabet

Unit 3

Lab 3A - The Results Are In!

Lab 3B - Confound It All!

Lab 3C - Random Sampling

Lab 3D - Are You Sure About That?

Lab 3E - Scraping Web Data

Lab 3F - Maps

Unit 4

Lab 4A - If the Line Fits …

Lab 4B - What’s the Score?

Lab 4C - Cross-Validation

Lab 4D - Interpreting Correlations

Lab 4E - This Model is Big Enough for All of Us!

Lab 4F - Some Models Have Curves

Lab 4G - Growing Trees

Lab 4H - Finding Clusters

Note

Internal Users

To use these labs, you’ll need to login your Rstudio Server.

To view the labs in the Viewer pane in Rstudio, run the load_labs() function and then select the lab you’d like to look at.

External Users

These labs were written for use with the Introduction to Data Science (IDS) math course. Edits, changes and additions will be made throughout the year.

To use these labs, you’ll need a copy of Rstudio and install the mobilizr package. To install the package, run:

library(devtools)
install_github('mobilizingcs/mobilizr')

To view the labs in the Viewer pane in Rstudio, run the load_labs() function and then select the lab you’d like to look at.

Of course, you could always just look in the folders at the .html files as well. That’d work.

beta version

Internal Resources ONLY.

Unit 1 (beta)

Lab 1A - Data, Code & RStudio

Lab 1B - Get the picture?

Lab 1C - Export, Upload, Import

Lab 1D - Zooming Through Data

Lab 1E - What’s the Relationship?

Lab 1F - A Diamond in the Rough

Lab 1G - What’s the FREQ?

Lab 1H - Our Time

Unit 2 (beta)

Lab 2A - All About Distributions

Lab 2B - Oh the Summaries…

Lab 2C - Which Song Plays Next?

Lab 2D - Queue It Up!

Lab 2E - The Horror Movie Shuffle

Lab 2F - The Titanic Shuffle

Lab 2G - Getting It Together

Lab 2H - Eyeballing Normal

Lab 2I - R’s Normal Distribution Alphabet

Unit 3 (beta)

Lab 3A - The Results Are In!

Lab 3B - Confound It All!

Lab 3C - Random Sampling

Lab 3D - Are You Sure About That?

Lab 3E - Scraping Web Data

Lab 3F - Maps

Unit 4 (beta)

Lab 4A - If the Line Fits …

Lab 4B - What’s the Score?

Lab 4C - Cross-Validation

Lab 4D - Interpreting Correlations

Lab 4E - This Model is Big Enough for All of Us!

Lab 4F - Some Models Have Curves

Lab 4G - Growing Trees

Lab 4H - Finding Clusters