MTH/540
Statistics
Course level: EDU Graduate
Christine O.
BSA
Online classes, always on, 24/7/365
Go to class any time of the day or night. If you have questions, call 866-354-1800 to speak with an Enrollment Representative.
This course provides an in-depth exploration of descriptive and inferential statistics with a strong emphasis on practical application and data analysis. Students will use Python to apply descriptive statistics, data visualization techniques, and inferential methods to real-world data. Key topics include data and sampling, data visualization, descriptive statistics, probability distributions, inferential statistics, chi-square tests, linear and multiple linear regression, logistic regression, non-parametric analysis, and ethical considerations in data analysis. The course also covers data mining concepts, data cleansing and preparation, and the use of various tools and techniques to enhance data analysis skills.
Prerequisites
This graduate level course requires proof of completion of a Bachelor's degree. Be prepared to provide documentation during the checkout process.
Required materials
The materials required for this course are covered in your resource fees.
Earn these career-relevant skills in weeks, not years.
Ethical Data Management
Apply data mining concepts, perform data cleansing and preparation tasks, and discuss ethical considerations in data analysis
Advanced Statistical Analysis
Evaluate and synthesize inferential statistics, including chi-square tests, various regression analyses, and non-parametric tests, using Python
Data-Driven Decision Making
Analyze and interpret complex data using descriptive statistics and data visualization with Python