Source: 365 Data Science newsletter dated 22 April 2021.
At 365 Data Science, we have helped over 900,000 students around the world fulfill their learning goals and start a successful career in data science and analytics. We provide high-quality, accessible online education for everyone, regardless of their background or experience.
And today, we’re excited to announce the latest addition to our program: Fashion Analytics with Tableau.
|As always, this new course doesn’t change the pricing of the 365 Data Science Program. One of our core values is continuously improving our curriculum by expanding it with new cutting-edge courses at no additional cost.|
Why Fashion Analytics?
Business analytics and AI are two of the hottest topics in the fashion industry.
The global brands that rely on intelligent data collection and processing have a strong competitive advantage over the ones that are data blind.
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.
What’s more, each of the subjects we cover here can be adapted to a variety of online businesses. With the current trend of more and more businesses moving towards online venues, understanding data and how to analyze it in a meaningful way is a truly invaluable skill.
Who is this course for?
This course is not only for fashion executives eager to incorporate data-driven decision making in their business, entrepreneurs, or people who want to work in the fashion industry. It is the perfect fit for aspiring data analysts, and anyone who is willing to enter the field of data analytics and wants to learn how to apply their knowledge in practice.
What will you learn in this course?
Elitsa Kaloyanova, your instructor in this course, is the Content Manager at 365 Data Science and the author of the Data Visualization in Python, R, Excel, and Tableau, and Customer Analytics in Python courses in our program.
To provide invaluable insights that correspond to the best practices in the industry, she 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.
|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
To top things off, this course features a practical case study. We’ve curated a rich database of consumer and purchase information related to fashion, which we’ll analyze with the help of Tableau. Together, we’ll create a Tableau story showing three parts of the fashion consumer journey!
The course also contains valuable downloadable resources to help you put what you’ve learned into action. Course notes, database files – everything is included and can be downloaded easily.
Moreover, throughout the course, you’ll get familiar with examples of real market leaders, who’ve leveraged the power of analytics to understand and meet the demands of their customers, gain a competitive edge against the competition, and ultimately make data-driven decisions to propel their business forward.
Of course, you can always count on expert support from your instructor. She is expecting you in the 365 Q&A Hub and is ready to answer all your questions.
Ready to start a career in data science?
This course is part of the Advanced Specialization Module in the 365 Data Science Program.
To learn more about the full program and how you can enroll, visit this page.