Training in Data Analysis

DeciZium provides a wide range of short training courses in data analysis. These training initiatives, especially designed for practitioners, focus on the use of statistical software (Excel™ and specialized tools). They aim to address the most frequent needs of the professionals engaged in manipulating or exploring data, whatever their field of expertise.

We describe below a few examples of our on-demand training courses. We can also design customized training programs to meet your specific needs. contact us to learn more about our offer!

Data analysis with Excel™ (typical duration: 3 days)

Goal

Excel™ is a powerful and widespread software resource. It is a friendly tool allowing users to quickly create diagrams, charts and data analyses.

The training includes a basic introduction to the concepts of descriptive and inferential statistics. It will then explore the application of different statistical techniques using Excel™.

Public

This training course is intended to anyone wishing to present and analyze data in a quick and efficient manner.

Pre-requisites

No specific statistical knowledge is required. Basic Excel™ skills desirable.

Content

- univariate statistics with Excel™;

- multivariate statistics with Excel™;

- pivot tables with Excel™;

- introduction to inferential statistics with Excel™;

- case-studies.

Survey data analysis (typical duration: 3 days)

Goal

Acquisition of the necessary competencies to produce and analyze a survey.

Public

This training course is dedicated to professionals involved in the collection, analysis and/or use of survey data. It is aimed at both the professionals who commission and those who produce the surveys.

Pre-requisites

This course requires a general understanding of statistical issues. It is also possible to take the module "Data analysis with Excel™" in the first place.

Content

- main types of surveys;

- sampling methods;

- survey designing;

- statistical analysis and interpretation of results;

- deployment with specialized software;

- case-studies.

Multidimensional data analysis (typical duration: 3 days)

Goal

Multidimensional data analysis techniques aim to extract and summarize the information included in large tables, like those corresponding to dozens of variables observed on thousands of individuals during the surveys.

Public

This training course is dedicated to professionals wishing to better understand and synthesize data in order to take better decisions.

Pre-requisites

A basic knowledge of descriptive statistics is recommended.

Content

- principal component analysis (PCA);
- correspondence factor analysis (CFA);
- multiple correspondence analysis (MCA);
- classification, discriminatory analysis and segmentation;
- deployment with specialized software;
- case-studies.

Excel™ is a trademark of Microsoft Corporation.