Fashion Analytics with Tableau

with Elitsa Kaloyanova
4.8/5
(245)

Leverage data analytics in fashion: unlock business value with data-driven decision-making

3 hours of content 4153 students

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 3 hours of content
  • 1 Downloadable resource
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Fashion Analytics with Tableau

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 3 hours of content
  • 1 Downloadable resource
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

$99.00

Lifetime access

Buy now

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 3 hours of content
  • 1 Downloadable resource
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

What You Learn

  • Acquire domain-specific knowledge for the exciting fashion industry
  • Enhance your marketability by adding specialized domain expertise, making you a prime candidate for fashion analytics positions 
  • Boost your business acumen by mastering the subtleties of consumer-driven marketing and online retail sales in the fashion sector
  • Learn key analytics techniques for the fashion industry
  • Improve your Tableau proficiency by tackling complex real-world business datasets
  • Take advantage of an excellent opportunity to add a unique data analysis project to your portfolio

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

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.

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What does the Course Cover

1.1 What does the Course Cover

5 min

What Is Fashion Analytics?

1.2 What Is Fashion Analytics?

2 min

Realizing the Potential of Analytics in Fashion

1.3 Realizing the Potential of Analytics in Fashion

6 min

The Breadth of Analytical Options

1.4 The Breadth of Analytical Options

5 min

Requirements for Embedding Analytics in Fashion

1.5 Requirements for Embedding Analytics in Fashion

6 min

Marketing Fundamentals for Analytics

2.1 Marketing Fundamentals for Analytics

5 min

Curriculum

  • 1. Introduction to the Course
    5 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
    5 min
    What Is Fashion Analytics?
    2 min
    Realizing the Potential of Analytics in Fashion
    6 min
    The Breadth of Analytical Options
    5 min
    Requirements for Embedding Analytics in Fashion
    6 min
  • 2. Consumer-Driven Marketing
    3 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
    5 min
    Analytics Activation in Consumer-Driven Marketing
    6 min
    An Overview of Cluster Analysis and Consumer Scoring
    6 min
  • 3. Consumer Analytics – Product Recommendation
    3 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?
    3 min
    Collaborative and Content-Based Filtering
    7 min
    Similarity Measures for Product Recommendation  Engines
    5 min
  • 4. Digital and Web Analytics
    4 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
    5 min
    Experience Analytics and Attribution Models
    4 min
    Clickstream Analytics and A/B Testing
    6 min
    Challenges and Opportunities in Web Analytics
    4 min
  • 5. Supply Chain Analytics
    3 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
    3 min
    Advanced Analytics in the Supply Chain
    5 min
    Applications of Analytics in the Supply Chain
    5 min
  • 6. Integrated Demand Forecasting
    4 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?
    3 min
    Integrated Demand Forecasting in the Fashion Industry
    7 min
    Data Science in Demand Forecasting
    4 min
    How Do Industry Leaders Use Using Integrated Demand Forecasting ?
    4 min
  • 7. Pricing Optimization
    3 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?
    4 min
    Advanced Analytics in Pricing Optimization
    7 min
    How  Does the Fashion Industry Leverage Optimization in Pricing?
    5 min
  • 8. Store Localization, Clustering, and In-store Optimization
    2 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
    5 min
    Advanced Analytics in Localization, Clustering, and In-store Optimization
    8 min
  • 9. AI for Predicting Fashion Trends
    2 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
    6 min
    Image Recognition and Market Intelligence in Fashion
    5 min
  • 10. Case Study – Building a Fashion Analytics Story in Tableau
    12 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
    3 min
    Getting to Know the Dataset
    4 min
    Creating a Company KPIs Table in Tableau - Net Sales
    4 min
    Creating a Company KPIs Table in Tableau - Gross Profit Margins
    7 min
    Creating a Map Chart of Consumer Countries in Tableau
    3 min
    Creating a Customer KPIs Table in Tableau
    7 min
    Creating a Bar Chart of Consumer Metrics in Tableau
    2 min
    Building the Frequency Curve in Tableau
    3 min
    Building the Repurchase Curve in Tableau
    4 min
    Creating the Dashboards for the Fashion Analytics Story in Tableau
    3 min
    Styling and Formatting the Fashion Analytics Report
    5 min
    Interpretation of the Data Analytics Fashion Story
    9 min

Topics

Theorydata analysisCareer developmentFashionTableauDigital analyticsSupply Chain AnalyticsDemand ForecastingPrice Optimization

Tools & Technologies

tableau

Course Requirements

  • Highly recommended to take the Intro to Tableau course first
  • You will need to install Tableau Public

Who Should Take This Course?

Level of difficulty: Intermediate

  • Aspiring data analysts with interest to work in the fashion industry
  • Current data analysts who want to improve their domain-specific knowledge

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Elitsa Kaloyanova

Elitsa Kaloyanova

Senior Data Scientist at

7 Courses

3102 Reviews

49876 Students

Elitsa Kaloyanova is a Computational Biologist, with significant expertise in the fields of algorithms, data structures, phylogenetics, and population genetics. She has a solid academic background in Bioinformatics with publications on constructing Phylogenetic Networks and Trees. In 2021, she led 365’s effort to create practice exams and course exams for each course included in the program. Elitsa was able to successfully coordinate with several types of stakeholders and performed superior Quality Assurance.

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