What you'll learn

The fundamentals of pricing analytics and its significance.
Different pricing strategies and how they influence business outcomes.
The role of cost, elasticity, and regression models in pricing decisions.
Descriptive, predictive, and prescriptive analytics for pricing optimization.
Visualizing and analyzing data with Tableau and R.

Requirements

Basic knowledge of R and Tableau. Familiarity with fundamental statistics and regression analysis. Interest in business strategy and data-driven decision-making.

Description

Course IntroductionPricing analytics is at the core of strategic business decisions. This course introduces you to the art and science of pricing analytics using R and Tableau. Learn to analyze pricing strategies, understand market elasticity, and leverage analytics to predict and prescribe optimal pricing. With real-world examples, this course equips you with skills to make informed pricing decisions.Section-wise WriteupSection 1: IntroductionThe course begins with an

Overview

of pricing analytics, defining its role and importance in business. You will explore what pricing analytics entails and understand its application in various industries to make data-informed decisions.Section 2: Getting StartedThis section dives into the fundamentals of pricing strategies in business. Learn about different pricing strategies, the role of cost and elasticity in pricing decisions, and methods to calculate elasticity using regression models. Real-world examples, like toll booths and taxi services, illustrate these concepts. You'll also get familiar with a sample dataset and analyze toll gate results.Section 3: AnalyticsExplore the three pillars of analytics: descriptive, predictive, and prescriptive. You'll visualize trends with graphs, predict future pricing scenarios, and receive actionable insights for pricing strategies. This section teaches how to use data to provide comprehensive advice for optimal pricing outcomes.ConclusionThis course provides you with a holistic understanding of pricing analytics and its practical applications using R and Tableau. By the end of the course, you'll have the tools and expertise to design and evaluate pricing strategies that align with business objectives.

Who this course is for

Business professionals seeking to enhance their pricing strategies.
Data analysts and aspiring data scientists interested in analytics-driven decision-making.
Students and researchers focusing on business intelligence and analytics.
Homepage:

https://www.udemy.com/course/pricing-analytics-with-r-and-tableau/