Introduction to Data Analysis
, Business and Data
5 Business Credits
Whatever your profession. Whatever your field. As a professional, and certainly as a leader, you will be asked to make a decision based on data.
Course Description:
There are a number of statistical tools and techniques that are commonly used by organizations to inform decision-making. These tools span numerous business functions and support many different objectives. This intermediate-level course describes, evaluates, and analyzes different statistical techniques and their real-world limitations and benefits. The course features crossover analysis, break-even analysis, cluster analysis, decision tree analysis as well as an introduction to regression.
What You’ll Learn:
- Evaluate the usefulness of different statistical techniques and their real-world application
- Describe the various forecasting techniques and the benefits and limitations
- Describe the various types of regression analysis and their real-world application
- Analyze the results of a regression analysis
- Describe common problems with multiple regression
- Describe other statistical techniques and their real-world application
- Explain the advantages and disadvantages of various statistical techniques
- Choose a statistical technique based on a brief case study
Related Courses:
Data Analysis in the Real World
, Business and Data
5 Business Credits
How are data-driven decisions put into practice in the real world? How do these decisions differ when applied to different sectors, such as health care, education and government? This intermediate-level course will provide answers to these questions
Data Analysis for Improving Organizational Performance
, Business and Data
5 Business Credits
When using data analysis to improve organizational performance, it's vital to employ the tools that bring the data to life and keep people engaged in the process.
