LibGuides: TIM-6501 V3: Week 4 Resources

Week 4 Resources

Reminder: Please complete the O’Reilly login steps (See the Accessing O’Reilly link in the Week 1 Resources area) where you get an email that will allow your browser to keep your password, solving future access limitations.

Data Science for Business and Decision Making
Fávero, L. P., & Belfiore, P. (2019). Data science for business and decision making. Academic Press.
Read Chapter 3: Univariate Descriptive Statistics.
Chapter 3 discusses the main concepts of univariate descriptive statistics used to explore a single variable at a time. Appropriate visualizations to communicate findings are also discussed.
Read Chapter 4: Bivariate Descriptive Statistics.
Chapter 4 discusses the main concepts of bivariate descriptive statistics used to explore two variables at a time. Appropriate visualizations to communicate findings are also discussed.
R Programming for Statistics and Data Science
365 Careers. (2018). R Programming for statistics and data science. Packt Publishing.
Watch Chapter 1: Getting Started.
The Chapter 1 video demonstrates how to download and install R and R Studio, how to install packages, how to maintain those packages use the library, and navigate the graphical user interface.
Statistical Analysis with R for Dummies
Schmuller, J. (2017). Statistical analysis with R for dummies. O'Reilly Media, Inc.
Read Chapter 4: Finding Your Center
This chapter discusses the process for conducting the five-number summary in R.
Read Chapter 5: Deviating From the Average
This chapter explains how to find the variance and standard deviation using R.
Data Analysis with R
Fischetti, T. (2018). Data analysis with R (2nd ed.). Packt Publishing.
Read all sections between The Shape of Data and Visualization Methods.
These sections cover a variety of important topics including the shape of data; univariate data; frequency distributions; central tendency; spread; populations, samples, and estimation; probability distributions; and visualization methods.

Business Scenarios
Use this file to successfully complete your assignment.
SUDS Data Set
SUDS Data Dictionary
TURNKEY Data Set
TURNKEY Data Dictionary