Intro to Data Analytics for Life Sciences
School of Professional Studies
Location: Online
Start Term: Spring, Summer
Confidently apply data-driven insights to optimize lab operations
The Intro to Data Analytics for Lab Operations course provides lab operations professionals with the fundamental skills needed to understand, collect, and analyze data. This fully online course, available exclusively for LabOps Unite (LOU) group members, offers the knowledge needed to build data fluency and support decision-making processes in your role.
Program Highlights:
- Practical data skills for lab operations: Learn to collect, analyze, and interpret workflow metrics, equipment usage, compliance records, and more.
- Hands-on tools and visualizations: Gain experience with data tools that will create impactful graphs and improve reporting.
- Data-driven decision making: Use real-world insights to optimize lab workflows, improve efficiency, and support strategic choices.
- Applied impact: Build data fluency in real-time culminating in a final presentation that showcases learned insights.
- Flexible format: Go at your own pace with a fully online curriculum that combines self-paced content and live virtual sessions.
- Lab operations professionals managing workflows, equipment, inventory, and compliance who want to make data-driven decisions.
- Facilities and operations managers overseeing lab efficiency, staffing, and resource allocation.
- Business leaders in the life sciences sector responsible for budgeting, reporting, and strategic planning.
- Early-career professionals and career changers looking to build foundational data skills relevant to lab-based industries.
- Non-technical professionals who work with lab data but need structured training on collection, analysis, and visualization.
This course is fully online and includes self-paced content with live, expert instruction. You will be able to adapt the course to your own schedules while benefiting from real-time discussions.
This course will explore:
- An introduction to data fluency and awareness
- Distinguishing between types and sources of data
- Best practices for data collection • Foundational data analysis
- Principles of data visualization and storytelling
- Data-driven decision making in lab operations
Upon completing this course, you will be able to:
- Easily identify data sources and understand how to segment the data effectively.
- Confidently access tools to acquire and make data usable, while also enabling independent data acquisition and processing.
- Skillfully use tools to interpret and communicate data through storytelling and visualizations.
- Better leverage tools to analyze data using numerical representations and measures of variability for descriptive insights.
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 course is $1,160. There are no additional costs. A discount code is available for LabOps Unite (LOU) group members.
Why MCPHS for this 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.