Fashion Analytics with Tableau
This hands-on course is your entry into the world of data-driven fashion analytics. Discover the challenges and opportunities of employing advanced analytics solutions, and learn how the fashion industry giants are leveraging data to improve margins.
with Elitsa KaloyanovaStart course
Fashion analytics with Tableau is all about the exciting world of fashion, as well as the vastly expanding sector of online retail. Data-driven decision-making is crucial in this competitive world, so companies need to make smart decisions and integrate advanced statistical solutions to gain an edge in the market. This course explores a variety of topics in data analytics for fashion, and features a practical use case, where you will analyze fashion retail data and build your own story report in Tableau.
Skills you will gain
What You'll Learn
Are you interested in a career in analytics? Do you wish to learn more about digital retail and the processes involved in the multimillion-dollar fashion business? This is the course for you.
- Introduction to the Course Free5 Lessons 24 Min
Fashion analytics with Tableau is all about the exciting world of fashion, as well as the vastly expanding sector of online retail. Data-driven decision-making is crucial in this competitive world, so companies need to make smart decisions and integrate advanced statistical solutions to gain an edge in the market. This course explores a variety of topics in data analytics for fashion, and features a practical use case, where you will analyze fashion retail data and build your own story report in Tableau.What does the Course Cover Free What Is Fashion Analytics? Free Realizing the Potential of Analytics in Fashion Free The Breadth of Analytical Options Free Requirements for Embedding Analytics in Fashion Free
- Consumer-Driven Marketing Free3 Lessons 17 Min
This chapter focuses on the importance of understanding your clients and their needs, as well as creating a seamless customer journey. Here we’ll discuss the main approaches to identifying consumer clusters. You will also gain a better understanding of the main predictors when it comes to consumer scoring, such as preferences, price point, or propensity to buy a product.Marketing Fundamentals for Analytics Free Analytics Activation in Consumer-Driven Marketing Free An Overview of Cluster Analysis and Consumer Scoring Free
- Consumer Analytics – Product Recommendation3 Lessons 15 Min
Product recommenders are one of the hottest topics in data science and a great way to deliver personalized content, with large-scale platforms such as Amazon and Netflix leading the way. In this section, we’ll discuss the main approaches to product recommendation and the challenges of integrating these solutions for fashion retailers.What Is a Product Recommendation Systems? Collaborative and Content-Based Filtering Similarity Measures for Product Recommendation Engines
- Digital and Web Analytics4 Lessons 19 Min
This chapter is all about what consumers experience when they’re on an online platform. You will get familiar with the main problems that can be solved with the help of digital analytics with solutions such as Clickstream analytics, attribution models, A/B testing, and then explore the connection between these solutions and data science.Introduction to Digital and Web Analytics Experience Analytics and Attribution Models Clickstream Analytics and A/B Testing Challenges and Opportunities in Web Analytics
- Supply Chain Analytics3 Lessons 13 Min
This is a major topic that is becoming even more relevant with the rise of online players in the fashion industry. In this chapter, we provide an overview of advanced supply chain analytics methods, which can be used to forecast replenishment times, stockout conditions, and returns, to name just a few.Introduction to Supply Chain Analytics Advanced Analytics in the Supply Chain Applications of Analytics in the Supply Chain
- Integrated Demand Forecasting4 Lessons 18 Min
Integrated Demand Forecasting is crucial for optimizing the entire production and supply chain, which makes it one of the key topics in the course. In this chapter, we’ll introduce the complexity of solving problems in this area, as well as advanced statistical solutions that you can adopt when forecasting demand.What Is Integrated Demand Forecasting? Integrated Demand Forecasting in the Fashion Industry Data Science in Demand Forecasting How Do Industry Leaders Use Using Integrated Demand Forecasting ?
- Pricing Optimization Free3 Lessons 16 Min
In this section, we’ll cover the important aspect of finding the optimal price for products. We also provide an overview of metrics like price elasticity and discuss machine learning methods, such as logistic regression and neural networks that help us predict the right price for items.What Is Pricing Optimization? Free Advanced Analytics in Pricing Optimization Free How Does the Fashion Industry Leverage Optimization in Pricing? Free
- Store Localization, Clustering, and In-store Optimization2 Lessons 13 Min
This chapter is all about finding the right spot to open a new store, implementing efficient space-planning techniques, and, ultimately, creating the best customer journey within a physical store. You will learn about the parameters that need to be optimized when opening a new store, illustrated by examples of how industry leaders are using advanced analytics for store localization and in-store optimization to improve margins.Introduction to Store Localization, Clustering, and In-store Optimization Advanced Analytics in Localization, Clustering, and In-store Optimization
- AI for Predicting Fashion Trends2 Lessons 11 Min
We’ll take a look at some of the advancements coming from the world of computer vision and see how they’re employed in the fashion world today. You’ll see what a virtual wardrobe is, as well as an example of a neural network predicting fashion trends.Introduction to Artificial Intelligence in Fashion Free Image Recognition and Market Intelligence in Fashion
- Case Study – Building a Fashion Analytics Story in Tableau12 Lessons 54 Min
This is where you will have the chance to delve into a case study of a company online retailer and analyze data from its customer and a purchase database. You’ll build your own report in Tableau following the consumer journey, starting from Company KPIs, through Customer Journey, and ending with analyzing the Consumer Lifetime Cycle.Introduction to the Case Study Free Getting to Know the Dataset Free Creating a Company KPIs Table in Tableau - Net Sales Free Creating a Company KPIs Table in Tableau - Gross Profit Margins Creating a Map Chart of Consumer Countries in Tableau Creating a Customer KPIs Table in Tableau Creating a Bar Chart of Consumer Metrics in Tableau Building the Frequency Curve in Tableau Building the Repurchase Curve in Tableau Creating the Dashboards for the Fashion Analytics Story in Tableau Styling and Formatting the Fashion Analytics Report Interpretation of the Data Analytics Fashion Story
“In this first-class training, I will teach you how to make a major difference for a global brand by helping them optimize their processes and marketing efforts, leveraging the power of data. I’ll give you an inside look at how global fashion brands approach analytics and how you can help them solve complex problems.”
Content Manager at 365 Data Science
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