Data analytics skills are in demand across industries, offering competitive salaries, strong career mobility and growing opportunities for advancement.
Whether you’re transitioning into data analytics or strengthening your existing analytical and business intelligence capabilities, this online program provides hands-on, project-based training designed to prepare you for analyst-level roles. Through practical work with real-world datasets, you’ll build job-ready skills and develop a professional portfolio that showcases your abilities to employers.
Designed for early- to mid-career professionals looking to expand their technical expertise or transition into data analytics roles, the program covers foundational analytics concepts and workflows. You’ll learn how to clean, transform and visualize data, while developing proficiency in Excel, SQL and Python for data analytics. You’ll also apply statistical and data-driven decision-making techniques to solve business problems and communicate insights effectively.
By the end of the program, you’ll have practical experience analyzing and interpreting data, along with skills to communicate insights through compelling data storytelling. Upon successful completion, you’ll earn a digital badge that can be shared with employers and added to professional profiles.
Who Should Enroll
- Mid-career professionals with three to 10 years of experience in business functions such as finance, marketing, operations, HR or project management who are seeking to transition into data analytics roles
- Career changers looking to build technical data skills and improve employability
- Early-career analysts or IT professionals seeking to formalize and expand their data analytics expertise
Learning Outcomes
- Analyze and interpret complex datasets to generate actionable insights
- Create data visualizations, dashboards and business intelligence reports to communicate findings effectively
- Apply statistical methods to support data-driven decision-making
- Use tools such as Excel, SQL and Python for data analysis
- Complete portfolio-ready projects that demonstrate analytical and problem-solving skills
- Demonstrate readiness for entry-level data analytics roles such as junior data analyst, data analyst, business analyst, and information systems analysts
Skills You Will Gain
- Data cleaning and preparation
- Data visualization and dashboard creation
- Statistical analysis and interpretation
- SQL querying and database interaction
- Python for data analysis
- Data storytelling and communication
- Problem-solving using data-driven approaches
Course Format and Pacing
This fully online course is delivered through Canvas, UC Davis CPE’s learning management system and includes Coursera-integrated learning materials and project-based experiences facilitated through Riipen, an experiential learning platform connecting learners with real-world business and organizational challenges.
Course content includes instructor-led video lectures, guided learning activities, interactive discussions, peer collaboration and hands-on exercises, along with mandatory live Zoom sessions with the instructor.
The program runs approximately four months (15 weeks) and requires about 10-12 hours of work per week, including evening sessions designed for working professionals. Students should be prepared for additional learning times outside of live synchronous sessions for project work and collaboration that may be needed.