LibGuides: TIM-8501 V4: Week 5 Resources

Week 5 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.

Statistics for Data Science and Business Analysis
365 Careers. (2018). Statistics for data science and business analysis. Packt Publishing.
Watch Chapter 5: Hypothesis Testing
This video explains the difference between the null and alternate hypothesis, how to establish a rejection region and a significance level, and the difference between Type I and Type II errors. It also describes how to test for the mean, the significance of the p-value, and the difference between a dependent and independent sample.
Hands-On Exploratory Data Analysis with Python
Mukhiya, S. K., & Ahmed, U. (2020). Hands-on exploratory data analysis with Python. Packt Publishing.
Read Section: Understanding Univariate Analysis.
This section demonstrates how to conduct univariate analysis in Python.

Data Repository

State of Washington – Labor and Industry Contractor License Data
Download Instructions:

Review the dataset information and the data dictionary provided.
Click the Export button and select CSV.
New York City Leading Causes of Death
Download Instructions:

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