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
- Getting ready2
- Excel — the Swiss Army Knive for Data Analysis5
- Data Exploration4
- Signal Preprocessing4
- Probability Distributions and Hypothesis Testing6
- 5.2Randomness and Probabilities10 Minutes
- 5.3Common Probability Distributions15 Minutes
- 5.4ANOVA and Co. for Comparing Data Groups25 Minutes
- 5.5The Problem of Multiple Comparisons5 Minutes
- 5.6Error Bars — Descriptive or Inferential?10 Minutes
- 5.7Test yourself Probability — Distributions and Hypothesis Testing5 Questions
- Data Modelling with Regression & Co.7
- 6.1Linear Regression15 Minutes
- 6.2Multivariate Linear Regression15 Minutes
- 6.3Nonlinear Regression15 Minutes
- 6.4Weighted Regression (incl. Robust Regression)25 Minutes
- 6.5Interpreting Results from Least-Square Regression15 Minutes
- 6.6Logistic regression / Quantal response regression15 Minutes
- 6.7Test yourself — Data Modelling with Regression & Co.5 Questions
- Get Your Certificate1