Meaningful Marketing Insights
date_range Débute le 20 mars 2017
event_note Se termine le 24 avril 2017
list 5 séquences
assignment Niveau : Introductif
chat_bubble_outline Langue : Anglais
card_giftcard 15 points
3.7 /5
Avis de la communauté
11 avis

Les infos clés

credit_card Formation gratuite
timer 25 heures de cours

En résumé

With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. In Introduction to Marketing Analytics, we introduce the tools that learners will need to convert raw data into marketing insights. The included exercises are conducted using Microsoft Excel, ensuring that learners will have the tools they need to extract information from the data available to them. The course provides learners with exposure to essential tools including exploratory data analysis, as well as regression methods that can be used to investigate the impact of marketing activity on aggregate data (e.g., sales) and on individual-level choice data (e.g., brand choices). To successfully complete the assignments in this course, you will require Microsoft Excel. If you do not have Excel, you can download a free 30-day trial here: https://products.office.com/en-us/try

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Le programme

  • Week 1 - Meet Dr. Schweidel & Course Overview
    In this module, students will be introduced to the instructor, Dr. David Schweidel and get and overview of the course.
  • Week 2 - Exploring your Data with Visualization and Descriptive Statistics, Part 1
    Modules 2 and 3 focus on identifying appropriate descriptive statistics (measures of central tendency and dispersion) for different types of data, as well as recoding data using reference commands to prepare it for analysis. Additionally, you will manipulate a...
  • Week 3 - Exploring your Data with Visualization and Descriptive Statistics, Part 2
    Modules 2 and 3 focus on identifying appropriate descriptive statistics (measures of central tendency and dispersion) for different types of data, as well as recoding data using reference commands to prepare it for analysis. Additionally, you will manipulate a...
  • Week 4 - Regression Analysis for Marketing Data
    In this module, you will be asked to determine the appropriate type of regression for different types of marketing data and will perform regression analysis to assess the impact of marketing actions on outcomes of interest, such as sales, traffic, and brand ch...
  • Week 5 - From Analysis to Action
    This final module will connect the results of regression analysis to marketing decisions. You will learn to build tools that allow users to evaluate outcomes based on different marketing decisions, as well as characterize the extent of uncertainty in outcomes ...
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Les intervenants

  • David Schweidel, Associate Professor of Marketing
    Goizueta Business School
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Le concepteur

Emory University, located in Atlanta, Georgia, is one of the world's leading research universities. Its mission is to create, preserve, teach and apply knowledge in the service of humanity.
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La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

Avis de la communauté
3.7 /5 Moyenne
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3.7/5
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3.7/5
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Le meilleur avis

The last 2 video lectures: Customer Valuation Excel Demonstration and Inventory Management Excel Demonstrationm were very well explained and taught me something new and useful.

le 12 novembre 2017
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le 12 novembre 2017

The last 2 video lectures: Customer Valuation Excel Demonstration and Inventory Management Excel Demonstrationm were very well explained and taught me something new and useful.

le 5 septembre 2017

I wish solutions for probabilities related questions were very detailed, for people who are still learning statistics, or forgot.

le 29 août 2017

This course went in depth into some excel functions used for analyzing sales and marketing data, really thought it was useful.

le 18 juillet 2017

The instructor does not explain in detail esp. math formulas and I have to go to YouTube to get extra info. I have almost got all the info from external YouTube videos . The istructor is almost giving headlines and is extremely giving a brief summary of the topics

le 24 juin 2017

I would have liked more discussion of theory behind what the formulas were and, actually, using slicers for data so that clients couldn't "break" the file unintentionally. Otherwise, it was a good basic course, a little too dependent on showing Excel rather than saying why something worked (IF clauses are a good example here, cutting and pasting formulas is not as helpful to my personal learning style as just explaining the rationale behind them.)