Data Analytics for Managers by Coursera

via

Coursera

Course Features

Duration

6 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Advanced

Effort

6 hours per week

Teaching Type

Self Paced

Course Description

This program will provide you with interactive classes and hands on projects that will help you learn the best tools to collect, analyze, and interpret data to understand business performance, trends, and impact.

The Gordon Institute at Tufts University offers an online certificate program that will equip you with the skills and knowledge to lead data-driven businesses and generate innovative ideas. It is open to all levels of engineering and product development.

The Tufts Gordon Institute is the hub for innovation and entrepreneurship. It has a 30-plus-year track record of creating successful leaders in today's tech-driven society. Tufts Gordon Institute was founded by Dr. Bernard Gordon, an inventor and visionary. It is the first school to teach engineering leadership. The 2007 National Academy of Engineering Prize in Engineering and Technology Education was awarded to our MS in Engineering Management.

You can learn more about the program at Tufts University.

Course Overview

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Covariance and correlation

Decision trees

Digital marketing

Expected returns from investing in product and process improvement

Finance for business managers

How products go from concept to production

Hypothesis testing

Linear regression

Logistic regression

Marketing research methods

Monitoring effectiveness of marketing campaigns for business to business and business to consumer products

Naïve Bayes classification

Product contributions to a more diverse, inclusive and equitable society

Product line operating plan

Sales management and analytics

The application of data analytics at all steps of this process

The challenges that product, engineering and production managers face

Time series analysis

kMeans clustering

kNN classification

Summarization measures and normal distribution

Course Content

Expand all sections

Module 1: Analytics Techniques for Business Insight

Module 2: Expanding Your Business Analytics Skills

Module 3: Data Analytics In Product Development and Production

Module 4: Marketing and Sales Data Decision Making

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