About this course
Want to know how to avoid bad decisions with data?
Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.
These big picture ideas have motivated the development of quantitative models, but in most traditional statistics courses, these concepts get lost behind a wall of little techniques and computations. In this course we keep the focus on the ideas that really matter, and we illustrate them with lively, practical, accessible examples.
We will explore questions like: How are traditional statistical methods still relevant in modern analytics applications? How can we avoid common fallacies and misconceptions when approaching quantitative problems? How do we apply statistical methods in predictive applications? How do we gain a better understanding of customer engagement through analytics?
This course will be is relevant for anyone eager to have a framework for good decision-making. It will be good preparation for students with a bachelor’s degree contemplating graduate study in a business field.
Opportunities in analytics are abundant at the moment. Specific techniques or software packages may be helpful in landing first jobs, but those techniques and packages may soon be replaced by something newer and trendier. Understanding the ways in which quantitative models really work, however, is a management level skill that is unlikely to go out of style.
What you’ll learn
- Variability in the real world and implications for decision making
- Data types and data quality with appropriate visualizations
- Apply data analysis to managerial decisions, especially in start-ups
- Making effective decisions from no data to big data (what should we collect and then what do we do with all this data?)
Meet your instructors
About MIT horizon
MIT Horizon is an expansive content library built to help you explore emerging technologies. Through easy-to-understand lessons, you’ll be guided through the complexities of the latest technologies and simplified expert-level concepts. Designed for both technical and non-technical learners, you can examine bite-size content that can lead to maximum career outcomes.
For a limited time, gain access to the complete MIT Horizon library.
Register today for exclusive entry.
About this course
Research from the World Economic Forum (WEF) and Mckinsey shows that AI will increasingly disrupt what we do, who does it and how all work is done – e.g. humans versus machines. On the positive side, AI is expected to add significant growth and value to the world’s economy for the companies and countries that get it. As such, it is more important than ever that all leaders, managers, executives and board members develop their AI skills to compete and prosper in the AI world.
However, most leaders, executives and board members lack the necessary AI education, skills, strategies and tactics to create AI-powered business models with platform and network effects. Further, they don’t understand how AI will impact their customers, employees, investors, operations and product/service offerings.
WHAT TO EXPECT
AI for Leaders features a series of lessons with video lectures, real world case studies, and hands on practice sessions that will help you learn the skills you need to advance your company and career. In addition, you will learn how to leverage today’s AI capabilities to improve your organization’s:
a). Customer offerings and interactions,
b). Employee engagement and capabilities,
d). Competitive positioning, and
e). The 7 attributes of AI centered leadership.
Finally, our program provides 5 clear steps, which we call PIVOT – that help you and your organization build today’s modern business model – along with a capstone project focused on how you build your own AI powered (autonomous) business model.
WHAT THIS COURSE CONTAINS
To ensure your success as a leader in the AI world, this course contains:
- 40+ videos
- Lectures from renowned faculty and business practitioners
- Real-world case studies
- 25+ exercises
- Preeminent articles from world class publications including HBR, Forbes and MITSMR
WHO SHOULD TAKE THIS COURSE
All leaders, board members, executives and team leaders at all types of organizations and at all levels should take this course. Further if you are looking to rise to a new role in your company, this course will arm you with the tools and techniques you need to drive your career and organization into the world of AI powered platforms and join companies like, Amazon, Apple, Alphabet, Uber and Airbnb who are at the forefront of this revolution.
What you’ll learn
- How platform business models and AI technologies complement each other.
- The characteristics of leaders that embrace AI powered platform business models.
- Where to look for data and what data is valuable to your business and AI.
- How you can get started and the 5 steps for success – which we call PIVOT.
- How your organization and team can catch-up with today’s leaders.
- The economics of these new technologies and business models.
- The 7 attributes of AI led organizations.