Analytics for Decision Making
Business Principles and Entrepreneurial Thought,
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.
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?)
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 4 weeks |
Effort | 4 weeks, 4–6 hours per week |
Starts | On Demand (Start anytime) |
Cost | $249 |
From | Babson College, BabsonX via edX |
Instructors | Rick Cleary, Nathan Karst, Davit Khachatryan, George Recck, Babak Zafari |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Business Data Science |
Tags | Business & Management Data Analysis & Statistics |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Institutional Research Specialist in Data Analysis $42k
Professional-Data Analysis - SQL $63k
Business and Data Analysis $67k
Data Management and Analysis Fellowship - CDC $68k
Data Analyst, Marketing & Analysis $68k
Senior Data Analyst, Marketing & Analysis $77k
Data Scientist (Social Network Analysis) $84k
Analyst, R&D IT and Data Analysis Lead $88k
Data Management and Analysis Tech. $94k
Senior Data Analysis - ITSM Analyst $101k
Senior Data Analysis Engineer u2013 Engineering Data Analysis $149k
Data Architect - Financial Planning and Analysis $156k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 4 weeks |
Effort | 4 weeks, 4–6 hours per week |
Starts | On Demand (Start anytime) |
Cost | $249 |
From | Babson College, BabsonX via edX |
Instructors | Rick Cleary, Nathan Karst, Davit Khachatryan, George Recck, Babak Zafari |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Business Data Science |
Tags | Business & Management Data Analysis & Statistics |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course