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. In this non-technical online program, you will learn a practical framework that will enable you to use data to improve decision-making.
The abundance of data creates opportunities for business leaders to make better decisions. The challenge is that interpreting data from multiple sources isn’t common knowledge for most business professionals. How do we know which algorithm to use? How do we know when to apply your human judgement into the decision mix? What are some of the most practical applications of artificial intelligence?
Business analytics skills are a requirement across a variety of job functions and are in high demand from employers. In fact, job postings for this skill set has increased by 130 per-cent from September 2016 to the present. The Bureau of Labor Statistics (BLS) expects growth for business analytics skills to jump 10.9 percent, outpacing the national growth average of 5.2 percent for all jobs, from 2018 to 2028.
In the non-technical Applied Business Analytics program, you will learn a practical framework that will enable you to use data to improve decision-making. The only prerequisite is high-school level math and basic statistics.
Upon completion of Applied Business Analytics, you will know which analytics approach is the most appropriate for your situation, and more importantly, how to tackle big data and leverage it for better business outcomes.
In this program, you will learn to:
Netflix: How Clustering Built a Movies-You’ll-Love Feature
Moneyball: How Linear Regression Built a Winning Team
Boston Real Estate: Algorithms to Predict Real Estate Values
D2Hawkeye: Healthcare Case Management
Deep Learning: Training Computers to Get Smarter
Inventory Management: Machine Learning Helps with Optimization
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 branching 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 smartphones.
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:
Representative roles include:
This course is delivered in our Self-Paced Online format which enables you to participate at your own pace within weekly modules. This course runs over 6 weeks with an estimated 6-8 hours per week of study time
Earn a certificate of course completion from the MIT Sloan School of Management
You will learn through a variety of formats including interactive videos, practice quizzes, presentations, assignments, and discussion forums
You will have access to a Success Adviser who will help you manage your time, and support you with any administrative or technical queries you might have
"This program is help me to uplift my ability on the decision framework based on data and combining with the interpretation experience. The accuracy support organization to compete in the market with competitive customer experience and cost leadership"
Hartono H
"Course was very well-organized. The materials were thorough and easy to follow. Office hour sessions were extremely informative."
Todd S
"I am excited about the quality of the knowledge gained as well as the practicality of the framework and tools shared. Also, the flexibility allows me to achieve my learning objectives without disrupting my routines."
Bolade O
"What a great course. Dr. Bertsimis was fantastic. So much knowledge and explained the most difficult aspects of the course in a unique teaching syle. I thought the case studies were great , and it was a very dynamic and exciting course. I highly recommend it. Thank you"
Steven K
"It was engaging and practical, with a strong casebased approach that made the concepts easy to understand and directly applicable. The realworld examples brought the analytics techniques to life and showed how they drive smarter business decisions. A very useful and welldesigned course."
Jenna Z
"Completed MIT Executive Educations Applied Business Analytics and found it highly practical and well-structured. The course does an excellent job connecting analytics methods to real business situationsdecisions, esp. how to frame the right questions, define meaningful metrics, and translate analysis into clear, actionable recommendations. The case-based approach kept it very applied especially. for technical leadership and operational contexts. Id recommend it to leaders who want to strengthen decision-making with analytics, not just learn tools, tech, etc."
Kanishk R
"Very meaningful and objective."
Ricardo N
"The content is quite challenging, yet investing time to understand it is incredibly rewarding and has definitely given me confidence to speak knowledgeably about advanced topics. Great course!"
Matthew C
"I enjoyed the course and the content. It was shown nicely, and I could follow it and learn a lot."
Jose Eduardo M
"One of the best courses that I have taken. The course was well structured explaining the details and the frameworks needed for anyone who are interested in integrating Business Analytics as part of their IT roadmap within their organization!!"
Sunil S
Same topic, Similar duration - Broader exploration across all institutes
Speak with an Advisor
Prashansa Uttam
Programme Advisor
Executive Education Office
Fill out the form below and our team will get back to you within 24 hours.
