Data Analytics and Applications in the Fashion Industry
Data Analytics and Applications in the Fashion Industry, available at $54.99, has an average rating of 4.38, with 40 lectures, based on 521 reviews, and has 2895 subscribers.
You will learn about How to apply data analytics in real-life How data can help a fashion business Industry-specific application of data analytics principles Fashion analytics Product recommendations Consumer-driven marketing Digital & web analytics Integrated demand forecasting Supply chain analytics for fashion companies Store localization, clustering, and in-store optimization Pricing optimization AI for uncovering fashion trends How to build a dashboard for a fashion company in Tableau This course is ideal for individuals who are People who want to work in the fashion industry or Students of data analytics or People who want to work in the field of data analytics and want to learn how to apply their knowledge in practice or Aspiring data analysts or People who want to build a modern fashion brand or Fashion executives eager to incorporate data-driven decision making in their business It is particularly useful for People who want to work in the fashion industry or Students of data analytics or People who want to work in the field of data analytics and want to learn how to apply their knowledge in practice or Aspiring data analysts or People who want to build a modern fashion brand or Fashion executives eager to incorporate data-driven decision making in their business.
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Summary
Title: Data Analytics and Applications in the Fashion Industry
Price: $54.99
Average Rating: 4.38
Number of Lectures: 40
Number of Published Lectures: 40
Number of Curriculum Items: 40
Number of Published Curriculum Objects: 40
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- How to apply data analytics in real-life
- How data can help a fashion business
- Industry-specific application of data analytics principles
- Fashion analytics
- Product recommendations
- Consumer-driven marketing
- Digital & web analytics
- Integrated demand forecasting
- Supply chain analytics for fashion companies
- Store localization, clustering, and in-store optimization
- Pricing optimization
- AI for uncovering fashion trends
- How to build a dashboard for a fashion company in Tableau
Who Should Attend
- People who want to work in the fashion industry
- Students of data analytics
- People who want to work in the field of data analytics and want to learn how to apply their knowledge in practice
- Aspiring data analysts
- People who want to build a modern fashion brand
- Fashion executives eager to incorporate data-driven decision making in their business
Target Audiences
- People who want to work in the fashion industry
- Students of data analytics
- People who want to work in the field of data analytics and want to learn how to apply their knowledge in practice
- Aspiring data analysts
- People who want to build a modern fashion brand
- Fashion executives eager to incorporate data-driven decision making in their business
Business analytics and AI are two of the hottest topics in the fashion industry.
Not only that: the global brands that rely on intelligent data collection and processing have a strong competitive advantage over the ones that are data blind.
And this shouldn’t come as a surprise, right?
We live in the 2020s.
Today, in almost all industries, the most successful businesses leverage user data to extract meaningful insights and tailor their products to satisfy user wants and needs.
Netflix recommends to us the movies and TV series we want to see next.
Instagram knows which photos we want in our feed.
So… naturally … fashion brands would want to know which clothes we want to wear, what impact the discounts have on us, and how likely it is that we’ll return after our first purchase.
Top executives understand long-term gains in the fashion industry aren’t about one-off transactions. Instead, successful brands want to win us over for the long run. The best way to do that is by employing a strategy centered around hyper-personalization. This means leveraging analytics, data science, and AI to deliver a first-rate experience that will make us a repeated customer.
Pretending that current fashion trends are the same as they were a decade ago is as detrimental as operating without leveraging insights from data. The best brands will surpass you because they will:
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Price items correctly
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Know when to discount an item
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Recommend the right items
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Excel at engaging customers online
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Stock the right styles
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Be able to choose the right colors, fabrics, and sizes
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Supply stores on time and efficiently
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The goal of this course is to help you learn about analytics in the fashion industry. We want to help you understand the ways in which different types of analysis can be applied in the fashion world and why that would be helpful in practice.
To provide invaluable insights that correspond to the best practices in the industry, we partnered with an experienced executive who’s worked with some of the biggest brands in the industry. His current work contract doesn’t allow us to share more info. However, his working title as Director of Data and Analytics for one of the biggest companies in the industry speaks volumes of his expertise of the topics we’ll cover together.
This course is an invaluable opportunity for anyone who works in fashion or who wants to work in fashion and become a high-level executive. Moreover, the course can also be useful to data practitioners who would like to specialize/get hired in the fashion industry. Some of the interesting topics we will cover are:
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Product recommendations
-
Consumer-driven marketing
-
Digital & web analytics
-
Integrated demand forecasting
-
Supply chain analytics for fashion companies
-
Store localization, clustering, and in-store optimization
-
Pricing optimization, and
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AI for uncovering fashion trends
This course offers tremendous upside for the time you will dedicate to it. Not only can it be career-changing if you work in fashion, but it can also inspire you to transform your business if you’re a fashion entrepreneur who wants to succeed in the years to come.
Course Curriculum
Chapter 1: Introduction to The Course
Lecture 1: What Does the Course Cover?
Lecture 2: What Is Fashion Analytics?
Lecture 3: Realizing the Potential of Analytics in Fashion
Lecture 4: The Breadth of Analytical Options
Lecture 5: Requirements for Embedding Analytics in Fashion
Chapter 2: Consumer-Driven Marketing
Lecture 1: Marketing Fundamentals for Analytics
Lecture 2: Analytics Activation in Consumer-Driven Marketing
Lecture 3: An Overview of Cluster Analysis and Consumer Scoring
Chapter 3: Consumer Analytics – Product Recommendation
Lecture 1: What Is a Product Recommendation Systems?
Lecture 2: Collaborative and Content-Based Filtering
Lecture 3: Similarity Measures for Product Recommendation Engines
Chapter 4: Digital and Web Analytics
Lecture 1: Introduction to Digital and Web Analytics
Lecture 2: Experience Analytics and Attribution Models
Lecture 3: Clickstream Analytics and A/B Testing
Lecture 4: Challenges and Opportunities in Web Analytics
Chapter 5: Supply Chain Analytics
Lecture 1: Introduction to Supply Chain Analytics
Lecture 2: Advanced Analytics in the Supply Chain
Lecture 3: Applications of Analytics in the Supply Chain
Chapter 6: Integrated Demand Forecasting
Lecture 1: What Is Integrated Demand Forecasting?
Lecture 2: Integrated Demand Forecasting in the Fashion Industry
Lecture 3: Data Science in Demand Forecasting
Lecture 4: How Do Industry Leaders Use Using Integrated Demand Forecasting ?
Chapter 7: Pricing Optimization
Lecture 1: What Is Pricing Optimization?
Lecture 2: Advanced Analytics in Pricing Optimization
Lecture 3: How Does the Fashion Industry Leverage Optimization in Pricing?
Chapter 8: Store Localization, Clustering, and In-store Optimization
Lecture 1: Introduction to Store Localization, Clustering, and In-store Optimization
Lecture 2: Advanced Analytics in Localization, Clustering, and In-store Optimization
Chapter 9: AI for Predicting Fashion Trends
Lecture 1: Introduction to Artificial Intelligence in Fashion
Lecture 2: Image Recognition and Market Intelligence in Fashion
Chapter 10: Case Study – Building a Fashion Analytics Story in Tableau
Lecture 1: Getting to Know the Dataset
Lecture 2: Creating a Company KPIs Table in Tableau – Net Sales
Lecture 3: Creating a Company KPIs Table in Tableau – Gross Profit Margins
Lecture 4: Creating a Map Chart of Consumer Countries in Tableau
Lecture 5: Creating a Customer KPIs Table in Tableau
Lecture 6: Creating a Bar Chart of Consumer Metrics in Tableau
Lecture 7: Building the Frequency Curve in Tableau
Lecture 8: Building the Repurchase Curve in Tableau
Lecture 9: Creating the Dashboards for the Fashion Analytics Story in Tableau
Lecture 10: Styling and Formatting the Fashion Analytics Report
Lecture 11: Interpretation of the Data Analytics Fashion Story
Instructors
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365 Careers
Creating opportunities for Data Science and Finance students
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 18 votes
- 3 stars: 73 votes
- 4 stars: 177 votes
- 5 stars: 248 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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