You'll need broad business knowledge to be a well-rounded professional. Then, you can evaluate market opportunities, design operations, and build profitable business models—all in collaboration with peers from across your company and beyond. Get a broad view of functions across a company before applying your learning in an immersive, intense, and challenging multi-stage business simulation.

Many business problems can be solved with data. Learn how statistics and data analysis tools can lead to better business decisions and predict industry and market trends—enabling you to stay a step ahead.

Effective communication and collaboration skills can make or break a successful career. Gain a clear understanding of the most in-demand interpersonal competencies and skills in business today. Then, continually apply these skills in exercises and role plays, and graduate with the soft skills needed to succeed in the global workplace.

Business decisions need data. In order for you to unearth those decisions, you need to know how to manage data in a relational database system and translate it into purposeful information. In this course, you’ll evaluate relational databases and methodologies as well as developing basic applied proficiency in SQL.

As a business professional, you’ll need to understand and analyze financial reports and business problems as well as create budgets. Gain the financial knowledge that data analysts need to assess the financial performance and health of a company, analyze and predict revenues and costs, and assist in operating budget and new capital investment analysis.

As an analyst, you're expected to derive meaning from messy data using statistics, programming, and domain knowledge. This course will help you learn the tools and techniques required to derive meaning from large datasets using Python as a foundation and applying statistical methods. You'll also learn programming design principles.

How do you move from “Business as Usual” to “New Business”? This key competency for business analysts is the focus of Business Challenge #1, where you’ll clean and analyze datasets in SQL to find past trends. Once you’ve uncovered existing trends, you’ll use Python to provide dependencies in data—and make recommendations based on projections.