
The School Of
Data Science
Build expertise in data streaming, business analytics, data visualization, data analysis, data science programming, data engineering, data architecture, predictive analytics, and more. With the skills you learn in our data science courses, you can launch or advance a successful career in the field.

In Demand Skill Sets
Successful data analysts have a unique set of skills and represent important value to organizations eager to make data-powered business decisions. Combine skills in programming and statistical analysis to uncover insights, communicate critical findings, and create data-driven solutions.
Steps To Become A Data Analyst
Data Science Across Industries
Technology
- Technology companies use data science to analyze user behavior, preferences, and feedback to inform product development, personalize user experiences, and optimize system performance.
- They do this while leveraging predictive analytics, fraud detection, and cybersecurity measures to enhance overall operations and customer satisfaction.
Marketing
- Data science is crucial for marketing analytics, customer segmentation, campaign optimization, and measuring the effectiveness of advertising strategies.
- It enables organizations to analyze consumer behavior, target specific audiences, and optimize marketing campaigns for better outcomes.
Data Science for Business Leaders
- Teach business leaders how to strategically approach solving the human capital, technological, and management challenges of data science integrations.
- Students gain knowledge in identifying opportunities for data science across many functional areas of the business and learn the tools to prioritize and execute on those opportunities as part of a data science initiative.
Cybersecurity for Business Leaders
- Give business leaders the unique knowledge they need to unlock the value of cloud technologies within their organizations.
- Enable a more cloud-native department to drive growth and create operational efficiencies. Udacity offers leadership training and development programs in AWS, Azure, and hybrid systems.
Programs Co-created With Data Science Leaders.
