Market Analytics: Become a Data-Driven Marketing Expert

via Udemy

Go to Course: https://www.udemy.com/course/market-analytics/

Introduction

Certainly! Here's a comprehensive review and recommendation for the Coursera course on Market Analytics from the Scandinavian Institute of Business Analytics (SCANBA): --- **Course Review and Recommendation** Are you aiming to boost your career as a marketing analyst and unlock the potential to earn a six-figure salary? This concise yet comprehensive course offered by the Scandinavian Institute of Business Analytics (SCANBA) on Coursera is an excellent stepping stone toward that goal. **Course Overview** This 2-hour program is thoughtfully divided into three core chapters, making complex topics accessible and practical: 1. **Market Segmentation:** Learn the advantages of segmenting markets, explore various segmentation variables, and master four key techniques—cross-tabulation, regression, clustering, and conjoint analysis. These skills enable you to identify target audiences effectively. 2. **Price Analytics:** Dive into 11 pricing strategies, assess different pricing methods with real-world Excel examples, and understand essential concepts like elastic demand, optimal pricing, and price discrimination. This knowledge empowers you to set competitive and profitable prices. 3. **Sales Forecasting:** Discover three major sales forecasting methods—moving average, exponential smoothing, and regression—and learn to analyze seasonality and trends to make more accurate predictions. The Excel spreadsheets provided facilitate hands-on practice. **Highlights** - The course provides **downloadable Excel files** with practical examples, helping you apply what you learn immediately. - The content is clear, concise, and tailored for professionals seeking a quick yet thorough introduction. - It combines **theoretical knowledge with practical Excel skills**, vital for real-world market analysis. **Why You Should Take This Course** If you're aspiring to become a top-tier marketing analyst, mastering market segmentation, pricing, and sales forecasting is essential. This course condenses key concepts into manageable segments, making it perfect for busy professionals or those new to the field. **Final Recommendation** I highly recommend this course to marketing professionals, data enthusiasts, or entrepreneurs who want to enhance their analytical toolkit. Its focused structure and practical approach make it an invaluable resource for anyone aiming to excel in market analytics and boost their earning potential. --- Would you like me to help you with a brief summary, or do you need information on how to enroll?

Overview

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 segmentationSegmentation variables you can useDescriptive and predictive market segmentation techniques4 major market segmentation techniques: cross-tabulation, regression, clustering, and conjoint-analysisChapter 2. Price Analytics 11 pricing techniques3 pricing assessment methods, including break-even analysis and the net present value capital budgeting model5 Excel spreadsheet examplesConcepts of elastic demand, optimal pricing, and price discrimination.Chapter 3. Sales Forecasting 3 major sales forecasting methods including moving average, exponential smoothing, and regression2 additional extensions to the methods for in-depth analysis5 Excel spreadsheet examplesMethods for predicting both seasonality and trends in sales. The course has downloadable example files you can use for practice.

Skills

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