Academic Data Analysis Pack to succeed in your thesis, final-year project or dissertation

Duration: 20 hours, Complete pack

Format: online with replay

Certificate: included, with the skills covered

Goal: complete independence in quantitative analysis

Learn to prepare your data, choose the right tests, interpret your results and defend your analysis with Excel, SPSS and SmartPLS. A practical path to turn your data into clear academic results.

2,000 MAD (≈ €185)

Individual pack

1,000 MAD (≈ €90) /person

Group pack, min. 4

180+ students supported

A step-by-step method, even for beginners

Practical cases geared to theses, final-year projects and dissertations

Interpretation ready for academic writing

A practical course to go from your data to defensible results

The Excel, SPSS and SmartPLS Pack is designed for students and researchers who want to move forward methodically. You follow a logical progression: structure the database, run the statistical analyses, test the hypotheses, validate the model and present the results as universities expect.

What you'll be able to do by the end of the Pack

Prepare and structure academic data with Excel.

Carry out descriptive and statistical analyses with SPSS.

Choose and test the hypotheses suited to your topic.

Build and validate a conceptual model with SmartPLS.

Analyse relationships between variables and interpret the coefficients.

Write up results to the standards of a thesis, final-year project or dissertation.

Present tables, charts and results the jury can understand.

Avoid common mistakes in method, testing and interpretation.

Earn a Data Académique certificate that showcases your learning.

Who is this Pack for?

A path designed for quantitative academic projects, questionnaires, conceptual models and research that requires a structured analysis.

Master's and PhD

Thesis, final-year project, dissertation

Management and economics

Students and PhD candidates working on their thesis, final-year project or dissertation.

Final-year projects, surveys, fieldwork and empirical analysis.

Management, marketing, finance, logistics, entrepreneurship and HR.

Social sciences

Health and nursing

Other disciplines

Psychology, sociology, education and human sciences.

Clinical research, public health, surveys and field data.

Law, sport, political science and other data-driven projects.

Academic Data Analysis Pack programme (20 hours)

Excel for academic analysis (4 hours)
Prepare and structure the data

Organise a clean, usable data file.
Prepare useful tables for the analysis.
Summarise the data with simple indicators.
Avoid mistakes before the statistical analysis.

Statistical analysis with SPSS (8 hours)
Analyse, test and interpret

Describe a sample with a descriptive analysis.
Test statistical hypotheses.
Compare groups and analyse relationships.
Interpret the results for a thesis or final-year project.

Modelling and validation with SmartPLS (8 hours)
Test a research model

Build a clear conceptual model.
Test the relationships between variables.
Check reliability and validity.
Interpret the results of the PLS-SEM model.
Present the results academically.

What the Pack includes

Complete materials

Exercises with solutions

Real academic cases

PDF documents for Excel, SPSS and SmartPLS.

Guided applications to consolidate each concept.

Examples close to real theses, final-year projects and dissertations.

Replay

Private group

Final certificate

Access to recorded sessions to review at your own pace.

Follow-up and practical exchanges during the course.

Data Académique certificate after the course.

What our students say

An average rating of 4.9/5 based on feedback from participants supported on their academic projects.

"The Pack is extremely complete. I used Excel, SPSS and SmartPLS for my thesis without stress."

"Real academic support. Everything is clear, progressive and directly applicable."

"Thanks to this Pack, I completed the full analysis of my dissertation and the presentation of my results."

Sara N.

Dr. Amina L.

Yassine B.

Master's in Social Sciences

PhD candidate in Management

Mohammed V University

Hassan II University

Master's in Finance

Hassan II University

Before booking the Pack

1. Is this course suitable for beginners?

Yes. The course is designed for beginners, even with no prior knowledge of Excel, statistics or analysis software. It starts with the fundamentals and then moves on to more advanced analyses.

2. Do I get a certificate at the end of the Pack?

Yes. At the end of the course, you receive a Data Académique certificate attesting to the skills developed in data analysis with Excel, SPSS and SmartPLS.

3. Is the course live or available on replay?

The course takes place online with an expert trainer. Sessions are recorded so you can review the explanations at your own pace.

4. Do I need to install the software before starting?

Yes, Excel, SPSS and SmartPLS are required. We help you check the versions and get started properly before the analyses.

5. How do enrolment and payment work?

Enrolment is done via the booking page, then confirmed on WhatsApp. Payment is possible by bank transfer or in cash. The practical details are sent after approval.

6. Is this Pack suitable for all university disciplines?

Yes. The Pack is cross-disciplinary and suited to academic projects in:

• economics and management sciences;

• social sciences and education;

• health and nursing sciences;

• other data-driven university disciplines.

A complete data analysis is within your reach

Don't stay stuck in front of your data. Move forward with a clear method, tools you master and an interpretation you can defend in front of your supervisor or the jury.