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Coursera

Business Analytics for Managers

Tufts University via Coursera MasterTrack

Overview

Throughout this program, you'll experience interactive classes and hands-on projects that will teach you the right tools for collecting, analyzing, and interpreting data to understand business performance, impact, and trends.

This online certificate program, sponsored by the Gordon Institute within Tufts University’s prestigious School of Engineering, will provide you with the knowledge and practical leadership skills you need to make intuitive, data-driven business decisions, and spark innovative ideas that can make a difference in the world - whether you work in product development, project management, marketing and sales, engineering, management or more.

Tufts Gordon Institute, the hub for innovation, entrepreneurship, and leadership at Tufts, has a 30+ year track record of building successful leaders for today’s tech-driven world. Founded by visionary and inventor Dr. Bernard Gordon, Tufts Gordon Institute is the first school dedicated to teaching engineering leadership. Our MS in Engineering Management program won the 2007 National Academy of Engineering Prize for Innovation in Engineering and Technology Education.

Learn more about this program on the [Tufts University website.](https://gordon.tufts.edu/professional-education/coursera)

Syllabus

Course 1: Analytics Techniques for Business Insight
- In this course, you’ll learn the fundamental business analytics techniques that will prepare you for solving more complex problems later on in the program. Through the use of Excel, Minitab (free trial version), and Python, you will cover a diverse range of topics, including normal distribution, hypothesis testing, analysis of variance, correlation, covariance, and linear regression. Through weekly exercises, you will gain hands-on experience with each technique and see the math illustrated using simple examples and small data sets.

Course 2: Expanding Your Business Analytics Skills
- In this course, you’ll learn about the popular analytics techniques that will help you apply business data to real-world situations and make appropriate managerial decisions. You will be using Excel, Minitab (free trial version), and Python to demonstrate what you’ve learned in predictive analytics through a project with real or simulated data.

Course 3: Data Analytics In Product Development and Production
- In this course, you’ll build upon the foundational quantitative skills you learned in Courses 1 and 2 as you gain a deeper understanding of how a product or service is developed, produced, and delivered and how the use of data analytics makes that happen. We’ll look at the new product process function by function using an Internet of Things security product.

Course 4: Marketing and Sales Data Decision Making
- In this course, you’ll learn how to increase sales via more sophisticated and targeted marketing. Discover how to earn customer loyalty, speak directly to segments of your customer base, and drive increased sales and customer impacts using data analytics. A discussion of marketing principles, financial returns on marketing, customer discovery, segmentation, and campaign and channel development will inform an assignment focused on building a sales forecast and making decisions about pricing, volume, and offerings.

Course 5: Data Analytics Applications Finance and Economics
- In this course you’ll develop the financial knowledge to create a profit and loss or contribution statement for the business and then determine the returns of various forms of investment applying the quantitative skills you developed in the course. You’ll also learn about how analytical tools are used in sales forecasting and about the process of developing and marketing products for historically underserved or marginalized communities across the Digital Divide. We’ll wrap up the MasterTrack by using what we’ve all learned together to build an operating plan for the coming year.

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