New Course: Data Analysis in Business

Picture this: you're working on the data team of a large retail company. You've been building a project to segment customers by various metrics like age bracket, location, buying tendencies, etc.

Then, your manager stops by your desk on the way to a meeting and asks you to figure out who your "best customers" are. As she walks away, you realize that what "best" means isn't really clear. The biggest spenders? The most frequent buyers? Potential customers with a high chance of spending in the future?

This sort of issue crops up all the time in real-world data work. Learning the technical skills required for data analysis can be challenging. But it can also be difficult to know how to apply those effectively in business contexts.

That's why we've just launched a new course: Data Analysis in Business.

data analysis business communication

Data Analysis in Business is part of our Data Analyst and Data Scientist in Python learning paths. (R folks, don't worry — we're planning an R version of this course, too, although we don't have a release date for it yet).

This course will help you take the technical skills you've learned in our other data science courses and apply them effectively in real-world business scenarios. You'll learn: 

  • How to deal with vague, "fuzzy" language (like in the scenario above)
  • How to assess and work with common business metrics
  • How to communicate your results effectively to non-technical audiences

In short: this course will teach you the "soft" skills required to ensure that your "hard" (technical) skills make a substantial business impact.

Why should I learn "soft" skills?

If you're just learning data skills for personal enjoyment, you may not need to worry about skills like communication. But if you're interested in working with data as part of your career, these soft skills are required to be successful.

The reality is that working in the field of data science, you will have to deal with vague directives like the example from earlier in this post. You'll have to be able to figure out which metrics are meaningful for your business.

And then you'll have to communicate your results in a way that inspires management to actually do something about it. The best analysis in the world will still have zero business impact if your manager can't understand it!

Soft skills will help you more effectively navigate the real-world business environment. And they help ensure that your "hard" technical skills actually translate into something that's valuable for your company. Generating real value for your company will in turn pay dividends for your own career.

How do I get started?

Simply log in (or sign up for a free account) and dive right in! Completing the full course will require a Basic or Premium subscription, but the first full mission is free, so you can learn a lot without making any kind of commitment.