Upon successful completion of your course, you will earn a certificate of completion from the MIT Sloan School of Management. This course may also count toward MIT Sloan Executive Certificate requirements.

In this course you will learn:

The goal of business analytics is to determine which datasets are useful and how they can be leveraged to solve problems and increase efficiency, productivity, and revenue. Extract greater value from your data by learning about these time-tested categories of algorithms:

Linear Regression
The "best fit" line through all data points. Predictions are numerical.
Example: Learn how a linear regression algorithm can change outcomes for a professional sports team

Logistic Regression
The adaptation of Linear regression to problems of classification (e.g., Yes/No questions,groups,etc.)
Example: Use logistic regression to predict coronary heart disease

Decision Tree
A graph that uses a brannching method to match all possible outcomes of a decision.
Example: Using a cutting-edge algorithm called an optimal classification tree, we will establish optimal inventory positions for smart phones.

Random Forest
Takes the average of many decision trees, each of which is made with a sample of the data. Each tree is weaker than a full decision tree, but by combining them we get better overall performance.
Example: Predict Supreme Court decisions using random forest

Clustering
Sees what groups the data points fall into when we apply a clustering algorithm, such as K-Means
Example: Use hierarchical clustering to group movie genres for Netflix

AI/Deep learning
Allows machines to solve complex problems by learning from large amounts of data, algorithms inspired by the human brain.
Example: Train a computer to read numbers.

This course is for:

• Anyone who wants to understand the business applications for analytics can benefit from this program, whether for a functional area of practice or for general management
• This program is designed for non-technical professionals, however those with technical backgrounds will find bonus code snippets to illustrate how to implement the concepts

Representative roles include:

• General managers and senior executives
• Consultants
• Data and technology specialists
• Functional leaders and individual contributors of their team
• Entrepreneurs/business owners

MIT Sloan Executive Education is collaborating with online education provider EMERITUS Institute of Management to offer a portfolio of high-impact online programs. By working with EMERITUS, MIT Sloan Executive Education is able to broaden access beyond on-campus offerings in a collaborative and engaging format that stays true to the quality of MIT Sloan and MIT as a whole.

EMERITUS’ approach to learning is based on a cohort-based design to maximize peer to peer sharing and includes live teaching with world-class faculty and hands-on project based learning. In the last year, more than 7,500 students from over 120+ countries have benefited professionally from EMERITUS’ courses.