Data-driven Problem Solving for Data Analysts

Turn business data into useful solutions by learning the complete data analysis process. By the end, you'll know how to analyze real business problems and present data-backed recommendations.

Data analysts must handle complex business problems and translate raw data into actionable insights, leveraging multiple tools to implement the complete lifecycle of a data analysis project.

In this course, Data-driven Problem Solving for Data Analysts, you'll gain the ability to understand the typical workflow of a data analysis project, from defining problems to presenting it to stakeholders, using tools like Microsoft Excel, Python, and Tableau along the way.

First, you'll explore how to define data-driven business problems and the process of data exploration.

Next, you'll discover the process of cleaning and preparing data, and identifying key trends.

Finally, you’ll learn how the data analysis process can culminate in creating compelling visualizations and presenting your findings effectively to stakeholders.

When you're finished with this course, you'll have the skills and knowledge of how the end-to-end data analysis workflow is applied to tackle real-world business problems and deliver actionable recommendations backed by data.