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Data Analytics for Managers MasterTrack® Certificate

Presented by Coursera and Tufts Gordon Institute

Learn the technical and critical thinking skills you need to analyze data, lead projects, and make impactful decisions that can influence the future of technology-driven businesses.

Get ready to learn the critical thinking skills necessary to apply real-world applications of data analysis in product and service development, operations, marketing, and sales. Throughout the Data Analytics for Managers MasterTrack® Certificate, 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, featuring six hours of study per week over the course of six months, 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. With a focus on real-world applications and case studies, courses are designed by Tufts University faculty members and feature industry-expert guest speakers to bring the content to life.

In addition to applicable skills and a resume-enhancing completed credential, this certificate can be leveraged for graduate credit when you enroll in the Tufts Gordon Institute’s Online MS in Engineering Management program.

Interactive Virtual Courses include:

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.

What you will learn:

  • Summarization measures and normal distribution
  • Hypothesis testing
  • Covariance and correlation
  • Linear regression

 

Project #1: One-Factor Experiment (6-8 hours total)

This project focuses on designing and implementing a One-Factor Experiment / Analysis of Variance that you learn in Course 1.

What you will learn: How to improve a process at or outside your company.

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.

What you will learn:

  • Linear programming
  • Network optimization
  • kNN classification
  • kMeans clustering
  • Logistic regression
  • Time series analysis
  • Bayes Rule
  • Naïve Bayes classification

 

Project #2: Business Analytics Application (6-8 hours total)

This project requires application of one of the analytics techniques that you learn in Course 2 (Linear Programming, kNN Classification, kMeans Clustering, Logistic Regression, Time Series Analysis, Naïve Bayes Classification).

What you will learn: How to solve a business problem of your choice using analytics.

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.

What you will learn:

  • How products go from concept to production
  • The application of data analytics at all steps of this process
  • The challenges that product, engineering and production managers face 

 

Project #3: Process Improvement Plan (6-8 hours total)

The project focuses on developing a process improvement plan for a product that is in the market and for which the company is receiving customer and performance feedback.

What you will learn: How to use data to identify areas for quality improvement through process and product changes.

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.

What you will learn:

  • Marketing research methods
  • Monitoring effectiveness of marketing campaigns for business to business and business to consumer products
  • Sales management and analytics
  • Digital marketing

 

Project #4: Develop Marketing & Sales Tools (6-8 hours total)

Based on the company’s sales and marketing results, you will develop a set of tools to allow the sales and marketing teams to increase both consumer and business funnel and sales.

What you will learn: How to use statistical techniques to qualify sales leads and web visitors to help the company focus on increasing sales conversions through all channels.

Data Analytics Applications: Finance and Economics

Congratulations on getting your product to market and its initial success.  Now, how do we keep investing in improving the product, marketing it more effectively, and make enough profit to do so? 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 will 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.

What you will learn:

  • Finance for business managers
  • What is the return I would expect from investing in product and process improvement?
  • How can my product contribute to a more diverse, inclusive and equitable society?
  • Building a product line operating plan

 

Project #5: Building an Operating Plan (6-8 hours total)

This project will allow you to apply your new knowledge of business functions and analytics to develop an operating plan, including sales forecasts, profit margins, marketing ROI, process and product improvements, and projected financial results.

What you will learn: How to develop an operating plan to address the business challenges we have discussed in Course #5 using data analytics.

⭐️⭐️⭐️⭐️⭐️

I think the program will open me up to a range of professional opportunities I didn't know would be "right" for me. I'm looking forward to continuing to learn.

Cohorts and Class Schedules

June 2021 Cohort: June 1, 2021 - November 13, 2021

Each course will run for four weeks over the following dates:

  1. Analytics Techniques for Business Insight: June 1, 2021 - June 29, 2021
  2. Expanding Your Business Analytics Skills: July 5, 2021 - July 31, 2021
  3. Data Analytics in Product Development and Production: August 9, 2021 - September 4, 2021
  4. Marketing and Sales Data Decision-Making: September 13, 2021 - October 9, 2021
  5. Data Analytics Applications: Finance and Economics: October 18, 2021 - November 13, 2021
September 2021 Cohort: September 7, 2021 - February 26, 2022

Each course will run for four weeks over the following dates:

  1. Analytics Techniques for Business Insight: September 7, 2021 - October 2, 2021
  2. Expanding Your Business Analytics Skills: October 11, 2021 - November 6, 2021
  3. Data Analytics in Product Development and Production: November 15, 2021 - December 11, 2021
  4. Marketing and Sales Data Decision-Making: December 20, 2021 - January 22, 2022 (This course will run for 5 weeks to accommodate flexibility surrounding the winter holidays.)
  5. Data Analytics Applications: Finance and Economics: January 31, 2022 - February 26, 2022
January 2022 Cohort: January 18, 2022 - July 2, 2022

Each course will run for four weeks over the following dates:

  1. Analytics Techniques for Business Insight: January 18, 2022 - February 12, 2022
  2. Expanding Your Business Analytics Skills: February 21, 2022 - March 19, 2022
  3. Data Analytics in Product Development and Production: March 28, 2022 - April 23, 2022
  4. Marketing and Sales Data Decision-Making: May 2, 2022 - May 28, 2022
  5. Data Analytics Applications: Finance and Economics: June 6, 2022 - July 2, 2022
March 2022 Cohort: March 28, 2022 - August 6, 2022

Each course will run for four weeks over the following dates:

  1. Analytics Techniques for Business Insight: March 28, 2022 - April 23, 2022
  2. Expanding Your Business Analytics Skills: May 2, 2022 - May 28, 2022
  3. Data Analytics in Product Development and Production: June 6, 2022 - July 2, 2022
  4. Marketing and Sales Data Decision-Making: July 11, 2022 - August 6, 2022
  5. Data Analytics Applications: Finance and Economics: August 15, 2022 - September 10, 2022

Recommended Student Background

We recommend students have an undergraduate degree and 2+ years of work experience, however, these are not required. To ensure your success in the program, a minimum of a high school diploma, strong internet connection, and basic knowledge of Excel is preferred. We also encourage students to think creatively and have a passion for data-driven decision-making!

MasterTrack Certificate Tuition

Your payment for the MasterTrack Certificate can be submitted in two ways:

  • Four equal payments of $750 ($3,000)
  • One full payment of $2,850 (a 5% discount from the $3,000)

At this time, we do not offer scholarships or other financial aid for this program.

Coursera Platform Restrictions: Due to restrictions placed by the Office of Foreign Assets Control (“OFAC”) of the US Department of the Treasury, Coursera is not able to provide service to learners accessing their platform from Crimea, Cuba, Iran, North Korea, Sudan, and Syria. Unfortunately, there is no workaround or solution to this until the law changes. We sincerely regret the need to impose any restriction on access to Coursera.