Publication date : 11/17/2025

Course : Analyze your GA4 digital data with no-code tools

Practical course - 2d - 14h00 - Ref. GAB
Price : 1360 € E.T.

Analyze your GA4 digital data with no-code tools




The rise of digital technology in business has led to an increase in the amount of data collected by companies. This training course will enable you to discover the KNIME marketing tool and gain a better understanding of the methodologies and statistical techniques that guarantee the reliability of the results obtained.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Available in English on request

Ref. GAB
  2d - 14h00
1360 € E.T.




The rise of digital technology in business has led to an increase in the amount of data collected by companies. This training course will enable you to discover the KNIME marketing tool and gain a better understanding of the methodologies and statistical techniques that guarantee the reliability of the results obtained.


Teaching objectives
At the end of the training, the participant will be able to:
Master and implement basic statistical methods for better data analysis
Understanding advanced statistical methods
Know how to prepare and cleanse your data to make it usable for marketing analyses
Set up analysis workflows in the KNIME marketing analytics platform

Intended audience
People with basic knowledge of data analysis with GA4.

Prerequisites
No special knowledge required.

Practical details
Hands-on work
This course will be based on practical case studies on KNIME and will use GA4 navigation data from a site in BigQuery format.

Course schedule

1
Clean and prepare your file: a prerequisite for analysis

  • Identify and validate identification keys.
  • Handle null values.
  • Identify and manage outliers.
  • Know how to use statistical tests and analyses to better exploit data.
Hands-on work
Creation of a workflow to prepare the analysis on KNIME.

2
Set up the right analyses

  • Summary of standard analyses: aggregated indicators, univariate graphical representation.
  • Use statistical tests to support your analyses (Chi-2 test, Anova test, etc.).
Hands-on work
Implementation and analysis of statistical tests in KNIME

3
Understanding the different types of advanced analysis

  • Regression, classification. What are we talking about? What are the marketing uses?
  • Supervised or unsupervised model?
  • Quantitative variable, qualitative variable: what types of modelling are possible?
Hands-on work
Create workflows to put statistical models on your database.

4
Modeling statistical analyses

  • Master the various stages.
  • Analyze and choose the right model.
Hands-on work
Model analysis