Data Analysis for Life Scientists

Lifetime
Intermediate
24 lessons
5 quizzes
18 students

While natural scientists are keen to do their practical work in the lab, they often struggle when performing their data analysis being an important step towards correct scientific reasoning. One common reason is that there was no course on data analysis during their degree program at university. In this course you’ll become familiar with common data analytical concepts and empower you to analyze and interpret your results with confidence and present them to other researchers or stakeholders. We favor a learning by doing approach and hope you consider the exercises (in Excel) and quizzes as challenges rather than obstacles. You can get your dedicated Data Analysis for Life Scientists Certificate when you completed this course.
For more details on the schedule, see the Curriculum page.

Curriculum

  • 7 Sections
  • 24 Lessons
  • Lifetime
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Dr. Mario Schneider

As an analytical chemist and certified AI Manager with a PhD in biophysics, Mario brings a unique blend of scientific rigor and strategic thinking to your business. His dedicated expertise in chemometrics and scientific data analysis allows him to turn your most complex data into clear, valuable insights. He is a published author on data analysis for scientists and a master of tools like MATLAB, R, Excel, and Python. Mario doesn't just process data; he leverages cutting-edge machine learning algorithms to uncover hidden opportunities, optimize processes, and drive innovation.