Full course description
With the growing need to be knowledgeable and skilled in the area of data in the modern business environment, it is no surprise that you would choose this course. Many businesses are focusing on machine learning and big data. It is ideal to develop a good foundation in data analysis in order to weigh in intelligently on these discussions. By the end of this class, you will be prepared to operate successfully in this context. The first area we will tackle is probability, which involves measuring uncertainty and determining the best business decision. This can be achieved with descriptive statistics and data visualizations. This will be followed with an introduction to using Palisade StatTools which will be a recurring option throughout the course.
Next, you will learn how to form a confidence interval of estimation and how to perform common statistical tests to compare means and proportions. You will get the chance to practice these tests on different problem sets. We then dig into the foundations of linear regression. In the business context, many use this as a predictive model for decision-making. No matter what field of business you are involved in, you will find this course to be very relevant to your business ventures, decisions, and data challenges.
By the end of this course, you will be able to:
- Analyze the role of uncertainty and risk in the decision-making process.
- Analyze available data to understand relationships among variables and to create predictions.
- Use available computing technology (e.g., spreadsheets) interpret make inferences about underlying populations.
- Turn raw data into insight and actionable information.
The course is completely self paced. It will take you approximately 50 hours to complete all 5 modules. Activities include, video lessons, readings, and self reflection activities. Upon successful completion of this course, you will receive a certificate of completion.