The Importance of Listening (Coursera)

The Importance of Listening (Coursera)

In this second MOOC in the Social Marketing Specialization - "The Importance of Listening" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

In this MOOC, guest speakers from Social Gist, BroadReader, Lexalytics, Semantria, Radian6, and IBM's Bluemix and Social Media Analytics Tools (SMA) will join Professor Hlavac to take you through the full range of analytics tools and options available to you and how to get the most from them. The best part, most of them will be available to you through the MOOC for free! Those purchasing the MOOC will receive special tools, templates, and videos to enhance your learning experience. In completing this course you will develop a fuller understanding of the data and will be able to increase the effectiveness of your content strategy by making better decisions and spotting crises before they happen! MOOC 2 bonus content in the paid toolkit includes access to Semantria's analytics engine to extract some data on the markets you are developing and have it analyzed.
Additional MOOC 2 faculty include:

  • Steve Dodd (SVP Business Development, Effyis - dba BoardReader and Socialgist - Global Social Media Content Access)
  • Seth Redmore (CMO, Lexalytics, Inc.)
  • Chris Gruber (Social Media Analytics Solution Architect, IBM)
  • Russell Beardall (Cloud Architect, IBM)
  • Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)
  • Tressie Lieberman (VP Digital Innovation, Taco Bell)

Course 2 of 6 in the Social Media Marketing Specialization.

Syllabus

WEEK 1
Big Data
In this module, you will learn how big data is collected, standardized, and deployed by organizations into big insights.

WEEK 2
Big Information
In this module, you will learn how to use key social information to drive your social strategy using state of the art analytics systems.

WEEK 3
Big Insights
In this module, you will learn how data is transformed into actionable insights for your social marketing programs.

WEEK 4
Real-Time in Action
In this module, you will learn how big data and big insights are being used by global businesses and organizations to drive their content strategies and prevent crises from happening.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Infonomics I: Business Information Economics and Data Monetization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics I: Business Information Economics and Data Monetization (Coursera)

Thriving in the Information Age compels organizations to deploy information as an actual business asset, not as an IT asset or merely as a business byproduct. This demands creativity in conceiving and implementing new ways to generate economic benefits from the wide array of information assets available to an organization. Unfortunately, information too frequently is underappreciated and therefore underutilized.

Nov 9th 2026
4 Weeks
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera)

In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is served as RESTful APIs. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics.

Nov 16th 2026
5-12 Weeks
Marketing analytics: Know your customers (Coursera) Coursera
Macquarie University

Marketing analytics: Know your customers (Coursera)

Are your customers at the centre of your organisation’s strategy? An understanding of marketing analytics, the core component of this course, is crucial to serving your customers well. Through structured learning activities (video lectures, quizzes, discussion prompts, industry interviews and written assessments) this course will teach you what to measure – and how – in order to maximise customer value. Rapid advancements in technology mean more powerful data and analytics can inform marketing decisions.

Nov 16th 2026
5-12 Weeks
Foundations of Marketing Practice for Non-Majors (Coursera) Coursera
University of North Texas

Foundations of Marketing Practice for Non-Majors (Coursera)

This course is an introductory survey of marketing terminology, concepts and practices from an applied perspective. Emphasis is on the activities performed by marketing managers to address real world marketing problems. Primary emphasis is on the identification of marketing opportunities and the planning and execution of marketing mix activities required to target these opportunities.

Nov 9th 2026
4 Weeks
Active Listening: Enhancing Communication Skills (Coursera) Coursera
Coursera Instructor Network

Active Listening: Enhancing Communication Skills (Coursera)

In workplace and personal interactions, mastering active listening is a crucial skill for effective communication and building meaningful relationships. This comprehensive course on Active Listening introduces learners to a range of techniques and strategies that empower them to become active listeners in various interpersonal contexts.

Nov 9th 2026
1 Week
Beneficios y características de las redes sociales más significativas (Coursera) Coursera
Tecnológico de Monterrey

Beneficios y características de las redes sociales más significativas (Coursera)

En este curso se explicarán los aspectos más generales del ámbito de las redes sociales con el objetivo de que el participante distinga, clasifique e identifique las cualidades particulares de la evolución de las redes sociales, su aplicación general en el ámbito de negocios y comercial, así como reconocer las redes sociales de más auge en nuestros tiempos y las tendencias de empleo.

Nov 16th 2026
5-12 Weeks
Marketing no mundo digital (Coursera) Coursera
University of Illinois at Urbana-Champaign

Marketing no mundo digital (Coursera)

Este curso analisa como ferramentas digitais, por exemplo, a Internet, os smartphones e a impressão 3D, estão revolucionando o mundo do marketing ao mudar as funções e práticas das empresas e dos consumidores. O Marketing no mundo digital é um dos cursos mais procurados da Coursera com mais de 250 mil alunos e ele foi classificado pela Class Central como um dos 50 melhores cursos on-line abertos e massivos (MOOCs, na sigla em inglês) de todos os tempos.

Nov 16th 2026
4 Weeks
Real-Time Big Data Access using HBase: Boosting Performance (Coursera) Coursera
LearnQuest

Real-Time Big Data Access using HBase: Boosting Performance (Coursera)

In the world of big data, the significant growth in both the sheer volume and variety of data has presented significant challenges. Apache HBase has emerged as a robust and scalable solution. HBase is a powerful, distributed, and scalable NoSQL database designed to handle large amounts of data while maintaining high performance.

Nov 9th 2026
3 Weeks
Infonomics II: Business Information Management and Measurement (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics II: Business Information Management and Measurement (Coursera)

Even decades into the Information Age, accounting practices yet fail to recognize the financial value of information. Moreover, traditional asset management practices fail to recognize information as an asset to be managed with earnest discipline. This has led to a business culture of complacence, and the inability for most organizations to fully leverage available information assets. This second course in the two-part Infonomics series explores how and why to adapt well-honed asset management principles and practices to information, and how to apply accepted and new valuation models to gauge information’s potential and realized economic benefits.

Nov 9th 2026
4 Weeks