Market Analytics: Become a Data-Driven Marketing Expert (Udemy.com)
Learn to calculate market segments, use pricing techniques, and forecast sales with Excel for better marketing strategy.
Created by: Scandinavian Institute of Business Analytics
Last updated February 2021
What you will learn
- Conduct market segmentation with 4 different techniques and find market segments for their product
- Create surveys and use survey responses in market analysis
- Set prices for products in the most profitable way using 11 pricing techniques
- Make financial analysis with NPV and IRR models
- Forecast sales predicting trends and seasonality effects
- Use Microsoft Excel at professional level
- Use IBM SPSS for automated market segmentation
How it compares
Against the other 93 rated Udemy courses in Google Analytics on CourseDuck:
- Rating4.2 out of 5higher than 25% of them
- Reviews519#25 of 94 by number of reviews
- Length2.2 hoursshorter than 58% of them
- Last updatedFebruary 2021earlier than 70% of them
Course Description
Marketing analyst salaries can reach six figures, but not everyone automatically earns such a high wage. First, you have to have strong analytical skills. Second, you need to know market analytics, which blends marketing, data analysis, and financial modeling. That’s why the Scandinavian Institute of Business Analytics (SCANBA) created a course that combines all three fields. You’ll learn how to conduct market surveys, analyze the data, find clusters, set product prices, forecast sales and even more. You’ll learn to use Microsoft Excel at a professional level, and be guided through every example to ensure you reach the learning objectives. By the end of the course, you’ll possess the kind of knowledge that’s available only to top market analytics experts.
The course is 2 hours in total, evenly split into 3 chapters:
Chapter 1. Market Segmentation
5 advantages of market segmentation
Segmentation variables you can use
Descriptive and predictive market segmentation techniques
4 major market segmentation techniques: cross-tabulation, regression, clustering, and conjoint-analysis
Chapter 2. Price Analytics
11 pricing techniques
3 pricing assessment methods, including break-even analysis and the net present value capital budgeting model
5 Excel spreadsheet examples
Concepts of elastic demand, optimal pricing, and price discrimination.
Chapter 3. Sales Forecasting
3 major sales forecasting methods including moving average, exponential smoothing, and regression
2 additional extensions to the methods for in-depth analysis
5 Excel spreadsheet examples
Methods for predicting both seasonality and trends in sales.
The course has downloadable example files you can use for practice.
Instructor Details
- 4.2 Rating
519 Reviews
Scandinavian Institute of Business Analytics
The Scandinavian Institute of Business Analytics (SCANBA) is a business analytics consulting company with operations in Finland and Sweden. SCANBA helps companies and their employees to become significantly more effective and successful by implementing business analytics in their organizations and by increasing employees’ professional skills.
SCANBA provides a broad range of services, including training and certification in business analytics, data management auditing, business process auditing and optimization, predictive analytics implementation, and decision system management.
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Reviews
By Jake Masters on 11/9/2023
This course was insightful and gives me a better understanding of how my company sets monthly goals, pricing, and makes decisions based on our markets and segments.
By Kiriaki-Despoina Kotridou on 12/29/2022
This course was perfect for me. There are explainations with steps and examples, for each method or analysis that presented on it!!! I recomment it for sure!!! Congratulation SCANDA :)
By Donald Rugama on 1/28/2022
It seems to have some SPSS applications, but I do not have this. And its also missing some information on how to calculate the y Intercept. Some lectures look like they are missing resources.
By Kirti Arora on 7/29/2019
Thanks a lot for such an informative course; it really helped me a lot in analysing and interpreting the data I collected in the course of my internship.
By Denise Aronson on 3/14/2018
I would recommend going slower with the different types of pricing. It was too fast that I couldn't pick all of it up in the 8 or 9 minutes for that specific section of the course.
By Somjit Das on 8/5/2017
Course is academic but lacks professional industry driven capstone projects and industry value. SPSS Software home works and course requires more impetus. Marketing Analytics is a trending field, it requires real world live project experience which can be show cased in CV. I felt the course is naive and lacks professional approach.
By Ian Ranson on 10/4/2016
Interesting content but the level was too basic at times. For free, it was worth it, but I probably wouldn't have paid for it. Video was also a little amateurish with cheesy SCANBA branded pencils and arrows, and voices which sounded if they were computer generated, which distracted from the content and didn't make the video seem professional.
By Jessalyn Respecia on 9/24/2016
This course helps you to perform different types of analysis that fit your needs and you’ll possess the kind of knowledge that’s available only to top market analytics experts.
By Șerban F on 9/23/2016
This course is wonderful! I learned a lot in just 2 hours. I recommend this course to anyone who wants to learn more about Marketing. The videos are very easy to follow and this course has a lot of downloadable resources which I will absolutely use later to practice more also quizzes are very clear and they can help you to remember for a long time important topics that are covered in this course. I spent 2 hours and now I know more about this thanks to this course. Thank you!
By Roberto Garuti on 9/20/2016
I doubt this course make you an "expert". It is very good if you have little knowledge of marketing as it covers many topics in a short but effective way. The explanation and the examples are easy to understand this is the best aspect of the course. I think it lacks the analytical side (including exercises to practice and really learn) but I am an engineer so it might be adequate for people that don't come from a quantitative profession.
Quality Score
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Overall Score : 84 / 100








