Business and Economics
Discover how to make better business decisions by applying practical data frameworks—no coding required.
Data literacy is a crucial skill that is necessary for individuals in all roles within an organization, not just limited to data scientists and analysts. As the amount of data collected by companies continues to increase, it is imperative that everyone possesses the ability to efficiently read and analyze this data. This course focuses on the fundamentals of data-driven decision-making and provides practical applications through three real-life examples in the fields of finance, marketing, and operations. By learning how to apply frameworks such as supply and demand, cost and benefit, and risk and rewards, participants will gain the necessary skills to uncover new insights and opportunities. These skills are essential for success in the increasingly data-driven world we live in.
by DataCamp
Discover how to make better business decisions by applying practical data frameworks—no coding requi...
by DataCamp
Leverage the power of Python and PuLP to optimize supply chains.
by DataCamp
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
by DataCamp
In this course you'll learn how to apply machine learning in the HR domain.
by DataCamp
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, s...
by DataCamp
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, vi...
by DataCamp
Learn about data science for managers and businesses and how to use data to strengthen your organiza...
by DataCamp
Learn how to translate business questions to well-formed analytical questions and select the right a...
by DataCamp
Learn to analyze and model customer choice data in R.
by DataCamp
Elevate your data storytelling skills and discover how to tell great stories that drive change with...