Intro to Data Analytics for Healthcare and Life Sciences

School of Professional Studies

Location: Online
Start Term: Spring, Summer

Confidently apply data-driven insights to optimize lab operations

This short course provides professionals across healthcare and life sciences with foundational skills to understand, collect, and analyze operational data. Whether you're managing labs, coordinating clinical workflows, or supporting research and development, this short course will help you build essential data fluency to drive better decisions in your day-to-day role.

Program Highlights:

  • Practical data skills for operations: Learn to collect, analyze, and interpret workflow metrics, resource utilization, compliance data, and more—tailored to clinical, lab, and technical environments.
  • Hands-on tools and visualizations: Build confidence using data tools to create meaningful charts, dashboards, and reports that drive action.
  • Data-driven decision making: Use real-world examples to apply insights that improve efficiency, quality, and operational outcomes.
  • Applied impact: Develop your skills through a final presentation that puts your learning into practice.
  • Flexible format: Learn on your schedule with a fully online, self-paced curriculum supplemented by live virtual sessions.

This short course is ideal for professionals across healthcare and life sciences who want to build data fluency and apply it to real-world operations:

  • Lab operations professionals managing workflows, equipment, inventory, or compliance, seeking to make smarter, data-informed decisions.
  • Supervisors and managers in clinical, research, or technical settings who oversee efficiency, staffing, and resource use.
  • Healthcare and life sciences leaders responsible for reporting, budgeting, or operational strategy in hospitals, clinics, biotech, pharmaceutical, or medical device organizations.
  • Early-career professionals and career changers aiming to develop data skills relevant to operational roles in science and healthcare.
  • Non-technical team members who interact with data but need structured training on collection, analysis, and visualization for better decision-making.

This short course is fully online and includes self-paced content with live, expert instruction. You will be able to adapt the short course to your own schedules while benefiting from real-time discussions.

In this short course, you will explore:

  • How to recognize and identify data in various forms—from numbers to observational or operational data—across healthcare and life sciences environments
  • Tools and techniques to acquire and prepare data for analysis, enabling independent data handling
  • Foundations of data analysis, including descriptive statistics and measures of variability
  • Principles of effective data visualization and the use of graphs to support broad understanding
  • How to tell compelling stories with data to drive insight and support operational decisions

By the end of this short course, you will be able to:

  • Identify data in multiple forms and sources, expanding your awareness of how data shapes everyday decisions
  • Use accessible tools to acquire and process data independently
  • Interpret and visualize data through graphs and charts that communicate meaning clearly
  • Analyze data using basic statistics and variability to extract descriptive insights
  • Combine data processing and interpretation skills to communicate insights and tell meaningful data stories

Dr. Linda Clark, Adjunct Faculty

Dr. Linda Clark is an expert in data science education, faculty development, and higher education assessment. With a background spanning academia, administration, and corporate consulting, she specializes in integrating data literacy into curriculum design, developing data science programs, and conducting interdisciplinary research on assessment and operations in higher education. Her expertise also extends to statistical analysis for corporate, healthcare, and survey-based projects.

The tuition for this short course is $1,160. There are no additional costs. A discount code is available for LabOps Unite (LOU) group members.

Why MCPHS for this short course

The School of Professional Studies delivers top-tier, high-demand educational opportunities that are convenient, accessible, and relevant to individuals and organizations.

Real-World Applications

Immediately integrate what you’re learning into your own work.

Expert-Led Discussions

Connect with faculty with significant industry and academic experience, including thought leaders in employee engagement and retention.

Unlimited Networking Opportunities

Participate in vibrant discussions while learning from peers and industry experts alike.

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