AI and Data Analytics for Business Leaders
Offered By: Babson College via edX
Course Description
Overview
In today's ever-changing business landscape, it is more important than ever for leaders to have an understanding of artificial intelligence and data analytics. AI is expected to drive significant growth and value for the global economy, generated by the companies and countries that leverage it over the coming years. With that in mind, it's critical for leaders, managers, executives, and board members to develop their AI skills and understand how to leverage data to make the right decisions to grow their businesses.
This Professional Certificate in AI and Data Analytics, brought to you by Babson College, the #1 school in Entrepreneurship (U.S. News & World Report), will give leaders a basic understanding of AI and how autonomous data can be used to make critical business decisions. The courses in this program will give learners the skills, strategies, and tactics to create AI-powered business models and explain how AI will impact their customers, employees, investors, operations, and product/service offerings.
The program will also dive deeper into data analytics to help business leaders understand the fundamental concepts of sound statistical thinking. Key concepts such as understanding variation, perceiving the relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.
Syllabus
Course 1: AI for Leaders
....don’t get left behind. Enroll in the first self-directed AI program for leaders to advance your career and company.
Course 2: Analytics for Decision Making
Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions.
Courses
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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.
This course is part of the Business Principles and Entrepreneurial Thought XSeries.
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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.
WHATTO 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,
c). Operations,
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.
Taught by
Barry Libert, Thomas Davenport, Megan Beck, Rick Cleary, Nathan Karst, Davit Khachatryan, George Recck and Babak Zafari
Tags
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