Descripción de “Predictive Modeling and Analytics (Coursera)”
This course will expose you to the data analytics practices executed in the business. We will explore such key areas of data analytics as the analytical process, how data is created, stored, and accessed, and how the organization works with data and creates the environment in which analytics can flourish.
What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization.
This course also provides a basis for going deeper into advanced analytical methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.
Who is this class for:
This course is designed for anyone who is interested in using data to gain insights and make better business decisions. The techniques discussed are applied in all functional areas within business organizations including accounting, finance, human resource management, marketing, operations, and strategic planning. This course is primarily aimed at professionals who have a bachelor’s degree and/or some exposure to the business world. The software tool used in the course is based on Microsoft Excel and therefore is accessible for anyone with some prior exposure to Excel. Those with technical degrees or more advanced business degrees like an MBA will find certain areas easier to absorb, and may get maximum value from the course. However, even undergraduates in non-technical fields or advanced high-school students pursuing internships will be able to follow most concepts and get value from the course. Finally, even professionals who have had deep experiences in methods will likely find value in this course.
At the end of this course students will be able to: 1. Carry out exploratory data analysis to gain insights and prepare data for predictive modeling 2. Summarize and visualize datasets using appropriate tools 3. Identify modeling techniques for prediction of continuous and discrete outcomes. At the end of this module students should be able to: 1. Explore datasets using Excel 2. Explain and perform several common data preprocessing steps 3. Choose appropriate graphs to explore and display datasets
Graded: Week 1 Quiz
Graded: Week 1 Application Assignment 2: Data Visualization
Predicting a Continuous Variable
Graded: Week 2 Quiz
Graded: Week 2 Application Assignment
Predicting a Binary Outcome
Graded: Week 3 Quiz
Graded: Week 3 Application Assignment
Trees and Other Predictive Models
Graded: Week 4 Quiz
Graded: Week 4 Application Assignment
Graded: Final Course Assignment
Especificaciones: Predictive Modeling and Analytics (Coursera)
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