Online Courses and Tutorials provides you with the latest online courses information by assisting over 45,000 courses and 1 million students.

Learn programming, marketing, data science and more.

Get started today

Skip to main content

Data Analysis and Interpretation

About This Specialization Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection be…

Positioning: What you need for a successful Marketing Strategy

Positioning: What you need for a successful Marketing Strategy

About this course: Positioning is the heart of any Marketing Strategy, the core that you must get right. It does not matter whether you start with a clearly defined target group or with a differential value proposition: you will need end up with a clear segment or segments upon which we build our Marketing Plan. In this course - the second in our Marketing Strategy Specialization - IE professor Ignacio Gafo will guide you through the essential stages of this key marekting process, starting with the basic elements that you will require and deciding on the market segmentation and marketing. The course progresses to examine the key market trends that you will encounter and will provide you with a handy praactical toolbox of skills. The course features interviews with industry professionals as well as on location videos where we quiz members of the public on their attitude towards this key concept. After this course you will be in no doubt of where to position your product and which segment you are going to attempt to attract.

Who is this class for: This course is aimed at any ambitious, business minded individual who has aspirations to launch their own product or service and/or has an interest in pursuing a career in marketing. A basic understanding of the principles of marketing would be an advantage but it is not essential.

Created by:   IE Business School

Basic Info
Course 2 of 5 in the Marketing Strategy Specialization.
Commitment4 weeks of study, 1-2 hours/week
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.5See what learners said
Positioning introduction
In the first module, the positioning concept is introduced and connected to the Marketing Process. Moreover, the market environment analysis is covered and the reasons for going ahead with the positioning are outlined. 

7 videos3 readings1 reading
  1. Video: Trailer
  2. Video: 1.0 Why positioning?
  3. Video: 1.1 Where should we start?
  4. Video: 1.2 Positioning as a key element in the marketing process
  5. Reading: Marketing in the age of fragmentation
  6. Video: 1.3 Market environment analysis: Context and Customers
  7. Video: 1.4 Market environment analysis: Collaborators, Competitors and Company
  8. Reading: The Evolution of Marketing
  9. Video: 1.5 What do we get from a proper positioning?
  10. Reading: Mountain Dew Kickstart comes alive
  11. Practice Quiz: Marketing process and Positioning
Graded: Marketing process and Positioning
In the second module, the focus is on the first element of positioning: The market segmentation. During the module the segmentation concept is covered, together with the reasons for segmenting, the criteria and models that could be used for running the segmentation.

10 videos4 readings1 reading
  1. Video: 2.0 What is a segment?
  2. Video: 2.1 Mass market, market segments, niche markets and individuals
  3. Video: 2.2 Segmentation levels
  4. Video: 2.3 Why should we segment?
  5. Video: 2.4 Reasons to segment
  6. Reading: The art and science of consumer segmentation
  7. Video: 2.5 Segmentation criteria: geographic and demographic
  8. Video: 2.6 Segmentation criteria: psychographic and behavioral
  9. Reading: Personalised targeting: Don’t get personal get social
  10. Video: 2.7 How to come up with an effective segmentation?
  11. Reading: Holistic segmentation
  12. Video: 2.8 Segmentation models
  13. Reading: Why Unilever believes “consumers are dead”
  14. Video: 2.9 Expert interview; Jaime Veiga, Global Strategic Insights – Southern Europe Head at Johnson & Johnson
  15. Practice Quiz: In the following exercise you will have to identify to which segmentation criteria each sentence is related with
Graded: Segmentation and targeting
Graded: Segmentation and targeting 2
Differentiation and Value Proposition
In the third module, the second element of positioning is addressed: Value proposition and differentiation. Both the value proposition and differentiation concepts are presented, following up with how to come up with them effectively and potential strategies to be followed.

9 videos4 readings1 reading
  1. Video: 3.0 Why differentiation?
  2. Video: 3.1 What is differentiation and value proposition?
  3. Video: 3.2 Positioning in real life: Exercise
  4. Reading: Denny Fighting commoditization with differentiation
  5. Video: 3.3 Frame of reference, points of parity and points of difference
  6. Video: 3.4 How to come up with the points of difference?
  7. Video: 3.5 The three circles model (Urbany & Davis)
  8. Reading: Differentiation that matters
  9. Discussion Prompt: 360 Video: Getting to know the value proposition and business model of Car2go
  10. Video: 3.6 Differentiation strategies
  11. Reading: BigPond – Why Emotional differentiation wins
  12. Video: 3.7 Session 3 Summary
  13. Reading: Differentiation or Salience
  14. Video: 3.8 Expert interview; Jacobo Galvez, Marketing Director Consumer Business Unit at Vodafone Spain
  15. Practice Quiz: Differentiation & positioning. Please fill out the following sentences:
Graded: Differentiation & value proposition
In the fourth module we speak about positioning itself. The positioning concept is analyzed and practical tools are shared to define it . Furthermore, key marketing strategies and market trends affecting positioning are offered. 

12 videos8 readings2 readings
  1. Video: 4.0 Introduction to the session
  2. Video: 4.1 What is positioning?
  3. Video: 4.2 Positioning examples at Citroën
  4. Video: 4.3 Positioning Statement
  5. Reading: Chobani Plain Inspiring
  6. Video: 4.4 How to define the Commercial Plan based on the positioning?
  7. Reading: Dennys reinvents the American dinner
  8. Video: 4.5 How to come up with the value proposition? Positioning maps
  9. Reading: Positioning Maps Multimedia
  10. Reading: Vodafone Egypt. How to make the small seems big
  11. Video: 4.6 Spider Web Perceptual Maps
  12. Video: 4.7 Alternative Positioning Strategies
  13. Video: 4.8 Key trends impacting Positioning (1/2)
  14. Reading: Consumers in 2016 Generation swipe
  15. Reading: Can big data and analysis replace intuition?
  16. Video: 4.9 Key trends impacting Positioning (2/2)
  17. Reading: Innovation beyond blue oceans
  18. Reading: Super personalize me! When technological advance meets consumer power
  19. Video: 4.10 Course wrap up
  20. Practice Quiz: Positioning
  21. Practice Quiz: Match these sentences regarding Positioning
  22. Video: Ready to continue on this journey?
Graded: Positioning
How It Works
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
IE Business School
IE Business School is an internationally recognized business school where the leaders of tomorrow shape their ideas and learn to become global citizens. For over 40 years, IE Business School has promoted innovation and change in organizations, equipping managers with an entrepreneurial mindset that generates employment, wealth, and social well-being. Regularly featured among the top business schools in the world, IE Business School has an urban campus in Madrid and a faculty of more than 400 professors who teach students from approximately 90 countries in its undergraduate and master programs. IE uses innovative online, face-to-face, and blended learning formats, including the IE Communities Platform where knowledge and experiences are exchanged with over 50,000 IE graduates that currently hold management positions in more than 100 countries worldwide.


Popular posts from this blog

An Introduction to Interactive Programming in Python (Part 1)

About this course: This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
Who is this class for: Recommended Background - A knowledge o…

Introduction to Data Science in Python

About this course: This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it,  manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Ne…

Learn to Program and Analyze Data with Python

About This Specialization This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. Created by: 5 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or LinkedIn. Courses