Reputation Management in a Digital World

Learn how to develop, manage and protect a company’s online reputation through social media including Facebook and Twitter.

Starts on May 30, 2016

Enroll Now

• Length: 6 weeks
• Effort: 3-4 hours per week
• Price: Free
  Add a Verified Certificate for $49
• Institution: CurtinX
• Subject: Business & Management
• Level: Introductory
• Languages: English
• Video Transcripts: English

Prerequisites

Students should have an understanding of marketing and public relations concepts. Students also need an understanding of different online platforms.

About this course

In this course, you’ll take on the role of a communications manager for a fictional organisation, making key decisions that will affect its online reputation.
You will experience:

• how to build a robust and sustainable online reputation
• the positives of building a strong participatory culture
• how to manage social media issues based on a real-life examples
• how to manage a crisis and respond appropriately across multiple platforms.

Throughout the course, you’ll learn from real life case studies and gain an understanding of the important role that blogs, Facebook, Twitter, Snapchat and other social platforms play in today’s business world.
The digital landscape is fast-paced and continually changing, yet is an equally challenging and exciting environment in which to work. This course is relevant to anyone working in marketing, communications, public relations, social media and advertising.
Please note: The course consists of 6 modules, however, the entire course will be open for 8 weeks allowing a week at the start for student orientation and a week at the end to finalise assessments.

See more about Reputation Management in a Digital World

What you'll learn

You'll learn how to:

• manage an organisation’s online reputation
• apply reputational management principles to manage online issues and crises
• build a strong participatory culture to engage your audience.

View Course Syllabus

Course Syllabus

Week 1: Corporate reputation in the digital age
In this module you will:

• identify what a corporate reputation is and why it is important
• examine how the digital age has affected reputation management  
• identify the types of reputational risk that exist online and the difference between an issue and a crisis

Week 2: Reputation and participatory culture
In this module you will:

• explain what participatory culture is and why it is important
• utilise the audience as co-creator of the story and brand
• recommend ways in which to build a strong participatory culture

Week 3: How online has changed the media cycle
In this module you will:

• examine how the traditional media cycle has changed and the broader definition of who ‘the media’ is now
• explain how online reputation affects offline reputation and whether an organisation can separate the two

Week 4: Managing reputation online
In this module you will:

• examine how to build a reputation – conversation and coverage
• demonstrate how to protect a reputation in times of adversity
• monitor your reputation and act on issues

Week 5: Protecting a Reputation: when it goes wrong, crisis response
In this module you will:

• identify ways to embrace online negativity/criticism 
• explain how to respond to a crisis online
• debrief after a crisis and evaluate your response

Week 6: Towards best practice reputation management
In this module you will:

• examine how ethics relates to corporate reputation
• articulate how to be authentic and speak ‘beyond the corporate voice’
• compare best practice in building a sustainable corporate brand online

Meet the instructors

• 
  Bridget Tombleson
• 
  Lydia Gallant
• 
  Dr. Katharina Wolf

Free Online lecture on The Science of Everyday Thinking

Learn how to think better, argue better, and choose better.

Self-Paced

Enroll Now

• Length: 12 weeks
• Effort: 2 hrs/week
• Price: Free
  Add a Verified Certificate for $99
• Institution: UQx
• Subject: Business & Management
• Level: Introductory
• Languages: English
• Video Transcripts: English

About this course

We will explore the psychology of our everyday thinking: why people believe weird things, how we form and change our opinions, why our expectations skew our judgments, and how we can make better decisions. We’ll discuss and debate topics such as placebos, the paranormal, medicine, miracles, and more.
You will use the scientific method to evaluate claims, make sense of evidence, and understand why we so often make irrational choices. You will begin to rely on slow, effortful, deliberative, analytic, and logical thinking rather than fast, automatic, instinctive, emotional, and stereotypical thinking.
We will provide tools for how to think independently, how to be skeptical, and how to value data over personal experience. We will examine the mental shortcuts that people use and misuse, and apply this knowledge to help make better decisions, and improve critical thinking.

See more about The Science of Everyday Thinking

What you'll learn

• The scientific method and its use in everyday life
• Tools for improving your everyday thinking
• Tips and tricks for changing people’s minds
• Techniques for learning and retaining information longer
• How to distinguish fact from fiction

Meet the instructors

• 
  Jason Tangen
  Senior Lecturer in Cognition The University of Queensland
• 
  Matthew Thompson
  Postdoctoral Fellow The University of Queensland
• 
  Emma MacKenzie

Free Online Lecture on Introductory Programming with Java

Introduction to Programming with Java Part 1: Starting to Code with Java

Learn to program with Java in an easy and interactive way and enter the fascinating world of computer science.

Self-Paced

Enroll Now

I would like to receive email from Universidad Carlos III de Madrid and learn about its other programs.

• Length: 5 weeks
• Effort: 5-7 hours per week
• Price: Free
  Add a Verified Certificate for $50
• Institution: UC3Mx
• Subject: Computer Science
• Level: Introductory
• Languages: English
• Video Transcripts: English, Español, Português, 中文

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Prerequisites

None

74 Reviews4.5/5

About this course

This is an introductory course to learn programming with Java, one of the most in-demand programming languages designed to work across multiple software platforms. Java developers are highly sought after professionals, and increasingly so, Java is a staple of every technologist’s resume!
This Java learning series is comprised of three parts, of which Part 1 introduces programming on the basis of familiar concepts, like calculators and games. Powerful concepts such as functional abstraction, the object oriented programming (OOP) paradigm and Application Programming Interfaces (APIs) are progressively introduced throughout the five weeks. Examples and case studies are provided so that learners can implement simple programs on their own or by collaborating with peers.
Part 2 will focus on how to write “good” programs and Part 3 will deal with fundamental data structures. Part 2 and Part 3 will be scheduled soon.
Programming knowledge is not only needed to program today’s devices such as computers and smartphones, but it also opens doors to computational thinking, i.e., the application of computing techniques to every-day processes.
With new content and enhanced problems, this is an improved version of the course released in April 2015. Previous learners are welcome to enroll for a second time, and continue learning!
Throughout this course, emphasis is placed on immediate feedback and having fun. Enroll today and start your journey in the field of computer science!
“This course is Awesome. And professor Carlos, Just WOW! His video lectures are so clear and so full of enthusiasm that I decided to upgrade to a verified track, which I'm doing for the first time in edX. I'm loving Java!” – Past student

See more about Introduction to Programming with Java Part 1: Starting to Code with Java

What you'll learn

• Basic knowledge on algorithms and Java programming
• Develop programs with conditionals and loops
• Design and implement recursive algorithms
• Understand basic mechanisms of the OOP paradigm
• Use and interpret the API of some of the most common Java classes
• Develop simple programs in Java

View Course Syllabus

Course Syllabus

1. From the Calculator to the Computer
The first section introduces basic programming concepts, such as values and expressions, as well as making decisions when implementing algorithms and developing programs.

2. State Transformation
The second section introduces state transformation including representation of data and programs as well as conditional repetition.

3. Functional Abstraction
The third section addresses the organization of code in a program through methods, which are invoked to carry out a task and return a result as answer. Recursion, as a powerful mechanism in the invocation of methods, is also covered this week.

4. Object Encapsulation
The fourth section introduces the object oriented programming (OOP) paradigm, which enables the modeling of complex programs in Java through objects and classes. The concept of inheritance as the basis for reusing code and simplifying programs in Java is studied in this week.

5. Packaging
The last section aims to study the reuse of code through third-party classes that are already developed and that we can incorporate to our programs to perform specific actions, and reduce the number of lines that we need to code.

Meet the instructors

• 
  Carlos Delgado Kloos
• 
  Carmen Fernández Panadero
• 
  Iria Estévez-Ayres
• 
  Jorge Blasco
• 
  Carlos Alario-Hoyos
• 
  Sergio Pastrana
• 
  Guillermo Suarez-Tangil
• 
  Julio Villena Román

Free Online course on Dairy Production and Management

The Pennsylvania State University

About this Course

With the world's first MOOOOO-C, you will gain a broad and comprehensive understanding of all aspects of dairy management such as genetics, nutrition, reproduction, animal health, farm economics, and sustainability of dairy production systems. There's something here for everyone whether you are just looking for the basics or have years of experience in the dairy industry. This is an eight-week course. Each week consists of four to nine video lectures, additional reading materials, and a multiple-choice questions quiz. Estimated study time is between three and five hours per week. Learners have the option to purchase a Course Certificate for 49.00 USD. The certificate can be purchased at any time, but you must verify your identify before taking the course quizzes in order to be eligible. For those who cannot afford the certificate fee, financial aid is available through Coursera. Why is producing milk efficiently and sustainably so important? Milk provides humans with over 16 essential nutrients, such as: Energy, Protein and Essential Amino acids, Vitamin A, Vitamin D, several B vitamins, including B12, Pantothenic and Folic acids, and essential minerals such as Calcium, Magnesium, Phosphorus, Potassium, Zinc, as well as other minerals. Did you know that one glass of milk provides a 5-year old child with 21% of his/her daily protein requirements and 8% of their energy needs? Most milk in the world, about 85%, is produced from cattle. However, water buffaloes, goats, sheep, and camel are also dairy animals. The United States, India, the European Union, Brazil, and New Zealand are among the largest dairy producers in the world. Yet among these dairy-producing countries there are varied methods to generate milk with highly variable productivity and efficiency. Dairy production is vital for the survival of billions of people. Globally, around 150 million small-scale dairy households, equivalent to 750 million people, are engaged in milk production. The number and size of dairy farms varies among countries, but in India alone, there are estimated 78 million dairy farms! In the United States, one of the leading milk-producing countries in the world, total milk production has been steadily increasing in the last decades, reaching over 205 billion pounds (93 billion kilograms) in 2014. This was accompanied by a steady increase in average milk yield per cow, reaching 22,260 lb (over 10,100 kg) per lactation in 2014. How has this efficiency been achieved? What methods are necessary to ensure production of high quality milk? How do we balance milk production efficiency with animal health and environmental protection? This course will provide the student with information to better understand dairy production systems and their role in feeding the world population. In this MOOOOO-C, you will learn about the dairy enterprise from internationally recognized dairy science professors who have delivered highly regarded dairy education programs within the United States and internationally.

Subtitles available in English

Instructors

Alexander N. Hristov

Professor of Dairy Nutrition

Animal Science

Troy L. Ott

Professor of Reproductive Biology and Associate Director

Huck Institutes of the Life Sciences

Bhushan Jayarao

Resident Director

Penn State Animal Diagnostic Laboratory (ADL)

Greg Roth

Professor of Agronomy

Plant Science

Gabriella A. Varga

Distinguished Professor of Animal Science

Dairy and Animal Science

Chad Dechow

Associate Professor of Dairy Cattle Genetics

College of Agricultural Sciences

Robert Van Saun

Professor of Veterinary Science and Extension Veterinarian

Department of Veterinary and Biomedical Sciences

Kathy Soder

Research Animal Scientist

USDA-Agricultural Research Service, Pasture Systems and Watershed Management

James Dunn

Professor of Agricultural Economics

Agriicultural Economics, Sociology and Education

Lisa A. Holden

Associate Professor of Dairy Science

Animal Science

Syllabus

Week 1

Orientation and Dairy Genetics

1. Orientation
2. Dairy Genetics

1. Quiz: Week 1

Week 2

Forage Production and Pasture Management

1. Forage Production
2. Dairy Pasture Management

1. Quiz: Week 2

Week 3

Feeds, Hay and Silage Making, and Feed Processing

1. Feeds, Hay and Silage Making, and Feed Processing

1. Quiz: Week 3

Week 4

Nutrition Basics, Requirements, and Feeding of Lactating Cows

1. Nutrition Basics, Requirements, and Feeding of Lactating Cows

1. Quiz: Week 4

Week 5

Calf and Heifer Nutrition and Feeding of Dry Cows

1. Calf and Heifer Feeding and Management
2. Feeding and Management of Dry Cows

1. Quiz: Week 5

Week 6

Dairy Reproduction

1. Dairy Reproduction

1. Quiz: Week 6

Week 7

Animal Health and Milk Quality

1. Metabolic Disorders and Herd Health
2. Milk Quality and Milk Hygiene

1. Quiz: Week 7

Week 8

Farm Economics and Environment

1. Dairy Farm Management and Economics
2. Dairy Production and the Environment

1. Quiz: Week 8

Free Online Course on Analyzing and Visualizing Data with Excel

Explore data analysis and visualization in Excel, the cloud benefits of Power BI, and Power Pivot, pivot tables, and tools previously known as Power Query.

April 1, 2016 - Self-Paced

Enroll Now

• Length: 4 weeks
• Effort: 2-4 hours per week
• Price: Free
  Add a Verified Certificate for $49
• Institution: Microsoft
• Subject: Data Analysis & Statistics
• Level: Intermediate
• Languages: English
• Video Transcripts: English

Prerequisites

Understanding of Excel analytic tools such as tables, pivot tables and pivot charts.
Also, some experience in working with data from databases and also from text files will be helpful.
1. Windows operating system: Windows 7 or later.
2. Microsoft Excel on Windows operating system (Mac versions not supported):

• Microsoft Excel 2016 Professional Plus or standalone edition (Preferred)
• Microsoft Excel 2013 Professional Plus or standalone edition (with some limitations in capability)
• Microsoft Excel 2010 (with major limitations in capability) 
• Other versions of Microsoft Excel are not supported

About this course

Microsoft Excel is one of the most widely used solutions for analyzing and visualizing data. Beginning with Excel 2010, new tools were introduced to enable the analysis of more data, resulting in less time spent creating and maintaining the solutions and enabling a better understanding of what the data means. This better understanding is facilitated by improved visualizations and more sophisticated business logics.
Do you want to take your advanced Excel skills to the next level? Are you exploring new ways to get and transform your data and create visualization?
Check out this practical new course, taught in short, lecture-based videos, complete with demos, quizzes, and hands-on labs, and skill up on many of the built-in business intelligence (BI) tools and features in Excel. ​Learn how to present the most relevant data with dynamic reports and presentations, as expert Dany Hoter walks you through all the important details.
In this course, get an introduction to the latest versions of these new tools in Excel 2016. See how to import data from different sources, create mashups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations—from simple to more advanced—can be expressed using the DAX calculation engine. And see how these different technologies work together inside Excel. Learn how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and consumed on mobile devices.

See more about Analyzing and Visualizing Data with Excel

What you'll learn

• How to gather and transform data from multiple sources.
• How to discover and combine data in data mash ups
• About creating data models
• Exploration, analysis and visualization of data

View Course Syllabus

Course Syllabus

Week 1

• Setup the lab environment by installing Office applications.
• Learn how to perform data analysis in Excel using classic tools, such as pivot tables, pivot charts, and slicers, on data that is already in a worksheet / grid data.
• Explore an Excel data model, its content, and its structure, using the Power Pivot add-in. Create your first DAX expressions for calculated columns and measures.

Week 2

• Learn about queries (Power Query add-in in Excel 2013 and Excel 2010), and build an Excel data model from a single flat table.
• Learn how to import multiple tables from a SQL database, and create an Excel data model from the imported data.
• Create a mash-up between data from text-files and data from a SQL database.

Week 3

• Get the details on how to create measures to calculate for each cell, filter context for calculation, and explore several advanced DAX functions.
• Find out how to use advanced text query to import data from a formatted Excel report. Perform queries beyond the standard user interface.

Week 4

• Explore ways to create stunning visualizations in Excel. Use the cube functions to perform year-over-year comparisons.
• Create timelines, hierarchies, and slicers to enhance your visualizations. Learn how Excel can work together with Power BI.
• Upload an Excel workbook to the Power BI service. Explore the use of Excel on the mobile platform.

Meet the instructor

• 
  Dany Hoter

Free Online Course on Operations Management

Understand key aspects of business operations and lean management including capacity, productivity, quality, and supply chain.

March 29, 2016 - Self-Paced

Enroll Now

• Length: 7 weeks
• Effort: 5 - 7 hours/week
• Price: Free
  Add a Verified Certificate for $79
• Institution: IIMBx
• Subject: Business & Management
• Level: Intermediate
• Languages: English
• Video Transcripts: English, हिंदी
• This course is part of the Fundamentals of Business Management XSeries

Prerequisites

Basic concepts in statistics such as Mean and Standard Deviation

About this course

Have you ever wondered about the right methods to improve productivity, configure your supply chain or address the demand on hand?
In recent years, businesses have strived to improve productivity and quality, reduce costs and delivery times, and embrace flexibility and innovation. These strategies are part of the Operations Management (OM) activities that service and manufacturing organizations engage in.
Introduction to Operations Management helps you to understand the role of OM in a firm and to develop abilities to structure and solve operations related problems. The course will empower you with skills to address important aspects of business operations including capacity, productivity, quality, and supply chain.
You will understand how operations in an organization are configured and factors that can potentially drive the complexity of managing such operations. We will also introduce concepts like estimating capacity, identifying bottlenecks, and de-bottlenecking.
Throughout the course, you will join us in discussions on productivity improvement methods, development of quality assurance systems and configuration of supply chains.
The course will equip you with the right tools, techniques and skills to estimate, compute, analyze and configure key elements of operations management.

See more about Introduction to Operations Management

What you'll learn

• Identify an operations system with some known standard configurations
• Make an assessment of the complexity of an operations system
• Compute cycle times for operations and estimate capacity of the system
• Understand the various components of a supply chain and the need to configure them appropriately
• Identify methods for reducing bullwhip effect in supply chains
• Understand and relate the concept of Lean Management to one’s own business situation
• Initiate process & productivity improvement using NVA Analysis
• Use specific tools and techniques to analyze quality problems
• Monitor a process using control charts

View the course Welcome video from instructor B. Mahadevan.

Meet the instructor

• 
  B. Mahadevan
  Professor, Operations Management IIM Bangalore

Free Online Course on HTML5

Add caption

Learn how to build Web sites using HTML5 and basic CSS, directly from W3C, creator of the latest Web standards.

Starts on April 4, 2016

Enroll Now

• Length: 6 weeks
• Effort: 3-5 hours per week
• Price: Free
  Add a Verified Certificate for $49
• Institution: W3Cx
• Subject: Computer Science
• Level: Introductory
• Languages: English
• Video Transcripts: English
• This course is part of the HTML5 from W3C XSeries

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About this course

This course was developed in partnership between W3C and Intel®.
Learn the basics of Web design and style to give your Web sites a professional look and feel. The Intel® XDK team and experts from the World Wide Web Consortium (W3C) will guide you step-by-step in how to use the latest Web standards to create a site to be proud of.
During the course, you will learn the basic building blocks of Web design and style – HTML5 and CSS – to give your site a professional look and feel.
By the end of the course, you should understand all the fundamental elements – from headers and links to images and sidebars – and leave having built a basic framework for your own Web site.

See more about HTML5 Introduction

What you'll learn

• Basic concepts of a markup language
• Basic building blocks of Web design and style
• Basics of HTML5 and CSS
• How to write a Web page

Meet the instructors

• 
  Dale A. Schouten
  Technical Consulting Engineer Intel Corporation
• 
  Anusha Muthiah
  Technical Consulting Engineer Intel Corporation
• 
  Chris Perkins
  Developer Intel Corporation

Free Online Course on Analyzing and Visualizing Data with Excel

Explore data analysis and visualization in Excel, the cloud benefits of Power BI, and Power Pivot, pivot tables, and tools previously known as Power Query.

Self-Paced

Enroll Now

• Length: 4 weeks
• Effort: 2-4 hours per week
• Price: Free
  Add a Verified Certificate for $49
• Institution: Microsoft
• Subject: Data Analysis & Statistics
• Level: Intermediate
• Languages: English
• Video Transcripts: English

Prerequisites

Understanding of Excel analytic tools such as tables, pivot tables and pivot charts.
Also, some experience in working with data from databases and also from text files will be helpful.
System Requirements:

1. Windows operating system: Windows 7 or later.
2. Microsoft Excel on Windows operating system:

• Microsoft Excel 2016 Professional Plus or standalone edition
• Microsoft Excel 2013 Professional Plus or standalone edition
• Microsoft Excel 2010
• Other versions of Microsoft Excel are not supported

About this course

Microsoft Excel is one of the most widely used solutions for analyzing and visualizing data. Beginning with Excel 2010, new tools were introduced to enable the analysis of more data, resulting in less time spent creating and maintaining the solutions and enabling a better understanding of what the data means. This better understanding is facilitated by improved visualizations and more sophisticated business logics.
Do you want to take your advanced Excel skills to the next level? Are you exploring new ways to get and transform your data and create visualization?
Check out this practical new course, taught in short, lecture-based videos, complete with demos, quizzes, and hands-on labs, and skill up on many of the built-in business intelligence (BI) tools and features in Excel. ​Learn how to present the most relevant data with dynamic reports and presentations, as expert Dany Hoter walks you through all the important details.
In this course, get an introduction to the latest versions of these new tools in Excel 2016. See how to import data from different sources, create mashups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations—from simple to more advanced—can be expressed using the DAX calculation engine. And see how these different technologies work together inside Excel. Learn how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and consumed on mobile devices.

What you'll learn

• How to gather and transform data from multiple sources.
• How to discover and combine data in data mash ups
• About creating data models
• Exploration, analysis and visualization of data

View Course Syllabus

Course Syllabus

Week 1

• Setup the lab environment by installing Office applications.
• Learn how to perform data analysis in Excel using classic tools, such as pivot tables, pivot charts, and slicers, on data that is already in a worksheet / grid data.
• Explore an Excel data model, its content, and its structure, using the Power Pivot add-in. Create your first DAX expressions for calculated columns and measures.

Week 2

• Learn about queries (Power Query add-in in Excel 2013 and Excel 2010), and build an Excel data model from a single flat table.
• Learn how to import multiple tables from a SQL database, and create an Excel data model from the imported data.
• Create a mash-up between data from text-files and data from a SQL database.

Week 3

• Get the details on how to create measures to calculate for each cell, filter context for calculation, and explore several advanced DAX functions.
• Find out how to use advanced text query to import data from a formatted Excel report. Perform queries beyond the standard user interface.

Week 4

• Explore ways to create stunning visualizations in Excel. Use the cube functions to perform year-over-year comparisons.
• Create timelines, hierarchies, and slicers to enhance your visualizations. Learn how Excel can work together with Power BI.
• Upload an Excel workbook to the Power BI service. Explore the use of Excel on the mobile platform.

Meet the instructor

• 
  Dany Hoter

Webinar: Best Practices in SDS and Product Data Management

Do you often wonder how to stay on top of compliance requirements while reducing costs, managing risk and increasing efficiencies? Do you want to learn how to access the key safety and regulatory data needed to manage EH&S functions and drive informed decision making? Please join Enablon’s Director of Sales EMEA, Pam Bobbitt, and 3E Company’s Product Manager, Dan Ko, as they provide insight into the challenges and best practices in maintaining a compliant and efficient SDS and product data management strategy. This joint webcast will cover the following areas: Challenges in SDS and Product Data Management Best Practices to Drive Compliance and Product Data Accuracy Benefits of a Central Integrated Platform Enablon/3E Company Solution Overview This webcast will also feature a live Q&A session. Best Practices in SDS and Product Data Management Thursday, March 24, 20168:00 AM PST / 11:00 AM EST / 4:00 PM UK / 5:00 PM Central Europe Register Now *Spaces are Limited. Please log-in early the day of the webinar to ensure a spot.

Dan KoProduct Manager Dan Ko is a Product Manager and Customer Advocate for 3E Online. With over seven years of product management experience, Dan specializes in competitive analysis, pricing and Sales and Marketing support for 3E Company.       Pam Bobbitt Director of Sales EMEA Pamala has over 15 Years of EHS experience in Pharmaceutical, chemical manufacturing and automotive manufacturing. At Enablon, her unique blend of subject matter expertise and product knowledge provide value by collaborating with customers and Partners to address their business challenges and drivers.