LibGuides: TIM-8501 V4: 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.

Python Data Analysis
Fandango, A., Idris, I., & Navlani, A. (2021). Python data analysis (3rd ed.). Packt Publishing.
Read all sections between Data Visualization and Summary.
These sections of reading provide examples of different visualizations used for specific types of analysis and related data.
Statistics for Data Science and Business Analysis
365 Careers. (2018). Statistics for data science and business analysis. Packt Publishing.
Watch Chapter 3: Inferential Statistics Fundamentals
This video explains what a distribution is and the difference between a normal distribution and a standard normal distribution. In addition, the central limit theorem and standard error are explained.
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 Descriptive Statistics and Summary.
These sections describe the distribution function, and how to determine the distribution of data.
Regression Analysis with R: Design and Develop Statistical Nodes to Identify Unique Relationships Within Data
Ciaburro, G. (2018). Regression analysis with R: Design and develop statistical nodes to identify unique relationships within data. Packt Publishing.
Read all sections between Finding Outliers in Data and Summary.
These sections describe how to detect outliers using Tukey's method and the interquartile range approach. The use of boxplots and scatterplots for the visualization of outliers and the overall data distribution is demonstrated.

Data Repository

California Statewide COVID-19 Hospital County Data
Instructions:

Click the "Statewide Covid-19 Hospital County Data" link to download the CSV.
Click the "COVID-19 Hospitalizations by County Data" link to review the metadata and the data dictionary provided.
State of New York - Retail Food Stores
Instructions:

Click the Landing Page "Visit Page" button to review the dataset information and the data dictionary provided.
Click the Export button and select CSV.