Unleash the potential of data-driven decision-making. Learners will be able to acquire, manage, analyze, and visualize data to gain a competitive advantage in the world of strategic business decision-making.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
Our world has become increasingly digital, and business leaders need to understand the vast amount of data available today. To make important strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to extract insights from that data.
The Business Analytics specialization is intended for young managers, senior managers, and business executives who are interested in acquiring broad knowledge in business analytics that combines data science, analytics, and business decisions.
A central tenet of these courses is that the application of expertise in a particular domain is critical to defining the right data problem, collecting and analyzing data, and developing and implementing performance metrics. Each domain will be accompanied by an in-depth project focused on implementation and analysis.
Course 1
16 hours
4.6 (232 ratings)
You will learn how to process data using R and RStudio. You will also explore the interaction between business principles and data analysis.
Course 2
15 hours
4.6 (594 ratings)
This course introduces the science of business analytics with an emphasis on the artistic use of numbers in the digital space. The goal is to provide businesses and managers with the fundamentals needed to apply data analytics to real-world challenges.
Course 3
18 hours
4.8 (45 ratings)
Developing analytical thinking to approach business problems and the ability to evaluate the value of data sets for solving business problems.
Course 4
14 hours
4.7 (32 ratings)
Course 5
14 hours
4.5 (151 ratings)
This course introduces students to marketing analysis using a wide variety of analytical tools and methods.
Course 6
14 hours
4.8 (44 ratings)
This course offers students the knowledge and tools required to apply data analysis in the field of accounting.



