Visualization of Lab Data with Excel
Participants
3 - 12
Duration
2 Days
Course Form
online, classroom in Basel or in-house ℹ
Course Description
Are you working in a lab or with large datasets, but are unsure how to visualize your data effectively? This course will provide you with an introduction to statistical methods. It is designed for anyone who has little or no prior statistical experience and aims to start analysing his own data confidently.
What Are You Going to Learn?
You will learn how to identify and understand relationships within your data. The course covers simple and generally applicable data representation methods, ensuring that you understand their correct application and interpretation. Common basic statistical terms are furthermore explained. All methods are applied using Excel, with the option to use validated EasyStat macros for added convenience, in particular in the context of numerous exercises.
Who Should Attend?
Lab technicians and supervisors, chemists, engineers
Everyone working with Excel and wishing to analyse data
Excel experience is an advantage but not essential
No previous statistical or mathematical knowledge necessary
Course Fees
- CHF 795.- per day + 8.1% VAT (incl. course documents and individual participant coaching during the practical exercises) for online courses
- CHF 865.- per day + 8.1% VAT (incl. course documents, individual participant coaching during the practical exercises, break refreshments and lunch) for classroom courses.
Which Topics Are Covered?
Techniques for One Variable
Stem-and-leaf diagram
Histogram
Mean, median
Standard deviation, variance, range
Boxplot
Statistical distributions, normal distribution
Confidence interval (basic ideas)
Quantile plot
Simple control chart
Techniques for Two Variables
Scatter plot
Correlation
Linear regression (introduction)
Further Recommendations
Pareto diagram
Ishikawa diagram
Stratification
Questions about Data Analysis or EasyStat?
We are always at your disposal if you have any questions. Simply call us on +41 61 686 98 77 or use the Contact Form.