- Data fundamentals
- Retail, sales, and marketing data
- Analyzing consumer sentiment
- Exploring market segmentation
- Evaluating leads and customers
- Getting recommendations from engines
- Pricing dynamically
- Predicting trends
Skill Level Intermediate
- [Barton] Here are two compelling data points. 83% of the organizations in a recent study by the Economist Intelligence Unit say that by using data wisely, they're able to make their products and services more profitable. However, the same study found that less than 60% of companies in the US are actually using their data to generate value. I'm Barton Poulson, and in this course we'll explore some of the best ways that businesses can use data to get more customers and more value for their products and services.
We'll look at the fundamental concepts of data and commerce and specific applications, such as sentiment analysis, market segmentation, and lead scoring. We'll also take a non-technical look at data-driven practices like setting prices dynamically, predicting events, and creating high-value recommendations for your customers. Finally, we'll explore some of the legal, ethical, and social issues surrounding the use of data in commercial settings. In this brief overview, you'll get what you need to see how you can apply the principles and practices of data science to your own business so your products and services can reach more people, solve more problems, and generate more revenue, and so let's get started.
Q: This course was updated on 04/02/2018. What changed?
A: We added one video on data science careers in retail and sales.