Data Analytics

Data-informed decision-making has become an essential skill across nearly every role and industry. As reliance on data grows, so does demand for professionals who can analyze and interpret it effectively, with data science roles projected to grow 34% from 2024 to 2034 according to the U.S. Bureau of Labor Statistics.

Led by industry leader Sean Barnes, the Data Analytics Professional Certificate equips you with the skills to manage the entire data lifecycle, from defining problems to delivering insights. You'll start with the foundations of analysis, visualization, and statistical reasoning, then build Python skills to automate workflows and work with data at scale (no prior coding experience required). From there, you'll extract data from websites, APIs, and databases, clean it with Python and SQL, and learn to present your findings through clear writing, compelling visualizations, and interactive dashboards.

What sets this program apart is its integration of AI into the analytics workflow. You'll learn to use large language models as a thought partner for simulation modeling, formula debugging, and visualization — building practical skills through real-world examples. Whether you're entering the field or expanding an existing toolkit, you'll graduate prepared to pursue data analytics roles or strengthen your current one with a solid analytical foundation.

You’ll earn a certificate for individual courses, and certifying in all of them as they become available will grant you the Data Analytics Professional Certificate

• Aspiring Data Analysts: Build the essential skills needed to land roles like Data Analyst, Business Intelligence Analyst, Operations Analyst, or Data Specialist positions
• Software Engineers: Enhance your technical toolkit with data analysis capabilities to build more insightful applications or transition to data-focused engineering roles
• Marketing Professionals: Add data-driven decision making that transforms how you develop campaigns and measure performance
• Business Professionals: Develop quantitative expertise to leverage analytics in your current role, whether in product, operations, or management
• Career Changers: Create a portfolio of real-world data projects like forest fire prevention, customer retention, and product selection analyses

Everyone Curious About How to Make Use of Data: Learn to make sense of data and drive evidence-based decisions in both professional and personal contexts

Develop job-ready skills and prepare for a career in data analytics – no prior experience required.