LibGuides: TIM-8501 V4: Week 1 Resources

Week 1 Resources

Accessing O’Reilly (A technology resource database)
You will be reading select chapters from various books or watching videos from the O’Reilly Database. Please follow all five steps described here to access content directly from or linked to the database.
Please ensure that you complete step 5, confirming the email where you create the password – this enables automatic access for all O'Reilly resources in your browser.
Statistics for Data Science and Business Analysis
365 Careers. (2018). Statistics for data science and business analysis. Packt Publishing.
Watch Chapter 2: Descriptive Statistics Fundamentals
This video is an essential primer on the basics of descriptive statistics. Topics include levels of measurement, categorical and numerical variables, and different types of charts that can be used to describe data visually.
Hands-On Exploratory Data Analysis with Python
Mukhiya, S. K., & Ahmed, U. (2020). Hands-on exploratory data analysis with Python. Packt Publishing.
Read all sections between Exploratory Data Analysis Fundamentals and Summary.
These sections describe the basics of exploratory data analysis and the key concepts of profiling and quality assessment of data.
Read all sections between Visual Aids for EDA and Summary.
These sections are important because creating visualizations to communicate findings is an essential part of the exploratory data analysis process.
Hands-On Exploratory Data Analysis with R
Datar, R. (2019). Hands-on exploratory data analysis with R. Packt Publishing.
Read all sections of Chapter 1 between Setting Up Our Data Analysis Environment and Summary.
This chapter describes the basics of exploratory data analysis and the key concepts setting up the data analysis environment.
Read all sections of Chapter 3 between Examining, Cleaning, and Filtering and Summary.
This chapter describes the process of examining and cleaning the dataset as a fundamental part of the exploratory data analysis process.
Read all sections of Chapter 4 between Visualizing Data Graphically with ggplot2 and Summary.
This chapter is important because creating visualizations to communicate findings is an essential part of the exploratory data analysis process.

Data Repository

DOHMH New York City Restaurant Inspection Results
Instructions:

Review the dataset information and the data dictionary provided.
Click the Export button and select CSV.
Attorney General Consumer Complaints (Washington State)
Instructions:

Review the dataset information and the data dictionary provided.
Click the Export button and select CSV.