Advanced Data Analytics Certificate

This data analytics course covers applied job skills in close connection to the concepts and theories that drive daily decisions relevant to data analysis and business intelligence. Each module will focus on the primary theme. You’ll start by grappling with real-world cases, then methodically drill down to solve the problems from a technical approach. A few of these topics include applications of statistics, data visualization tools in Excel, linear regression, time series, classification algorithms, and bias in data.

In this data analytics course, you’ll explore the skills, concepts, and theories relevant to data visualization and its applications. You’ll learn the theoretical fundamentals and design principles of data-based visualizations, how to spot misleading and untruthful visualizations, and how to use Tableau, a leading data visualization software. You’ll also learn visualization best practices, learn how to design usable dashboards, and sharpen your analytical skills. This course is hands-on, allowing you to merge, join, and download data from several sources for their visualizations.

In this data analytics class for aspiring analysts who understand Microsoft Excel but have little to no coding experience, you’ll learn how to answer questions using data. The modules provide you with in-demand job skills with a focus on real-world applications. You’ll learn about the different types of SQL, data aggregation, and how to join tables in SQL.

This capstone course provides you with an opportunity to apply skills learned throughout the program—both core analytical skills and soft skills such as problem-solving and communication—on complex, real-world projects. You’ll work in small teams to play active roles in project planning, scheduling, and presenting data from an array of verticals, such as digital marketing, business operations, finance, and health care. This data analytics course serves as your final preparation for entering the workforce.