Data Science for Executives and Managers
These days, businesses have more data available to them than ever before. They have systems in place that record transactions, track projects and processes, and capture useful information about customers, products, employees, and more. This data deluge has been accompanied by a seemingly endless stream of media headlines touting buzzwords like Big Data, Data Science, Machine Learning, Artificial Intelligence, and Deep Learning. Unfortunately however, the underlying articles typically lack practical, intuitive examples of how these technologies can actually be applied in a business environment.
In the real world, most businesses have standard reporting in place on basic key performance indicators (KPIs). However, managers and executives know that deeper insights into how their organizations are performing are hidden in their data. These insights have the potential to uncover new opportunities and help inform decision-making, but they are inaccessible because the organization does not yet possess the knowledge or resources they need to know what’s possible, mine the data, make sense of what is there, and then use it to benefit their operations.
What You Will Learn
This course will arm you with the information you need to see beyond the hype surrounding data science and focus on its practical applications. Throughout the course, you will learn how to think more analytically about your business, how to identify which methods can provide the most value to your organization, what to look for when hiring analytical talent, and things to take into consideration when managing data-driven projects.
This course will cover the following topics:
Demystifying the Hype and Buzzwords
Thinking More Analytically About Your Business
Data Science Applications in Business
Managing Analytical Projects and Talent
Where to Go for Help and Additional Resources
What You Need to Bring
- Knowledge of your business and the data available to you.
- Something to take notes with (paper & pen/pencil or laptop).