Data Académique
Academic data analysis
Master Excel, SPSS and SmartPLS to succeed in your thesis, final-year project or dissertation
Choose the Data Académique course best suited to your level, your software and your goal: prepare your data, test your hypotheses, interpret your results and present solid academic work.
Excel
SPSS
SmartPLS
Complete package
Organise and clean your data
Test your statistical hypotheses
Validate a conceptual model
Master the whole analysis process
Replay
Certificate
average participant rating
students supported
access after the sessions
included depending on the course
Which course should you choose for your situation?
The best course isn't necessarily the longest. It's the one that removes your current obstacle and brings you straight to a usable result for your thesis, final-year project or dissertation.
I'm starting from scratch
Start with Excel to organise your data and understand the basics.
I have a questionnaire
SPSS is the right choice for descriptive statistics, tests and interpretation.
I have a conceptual model
SmartPLS helps you test the relationships between latent variables.
I want to master everything
The Complete Pack brings Excel, SPSS and SmartPLS together in one coherent path.
4 learning paths to move forward methodically
Each course is designed for a specific academic need: data preparation, statistical analysis, PLS-SEM modelling or the complete path.
Beginner
Statistics
PLS-SEM
The most complete
Academic Excel course
SPSS course
SmartPLS course
Complete statistical analysis course
To analyse a questionnaire, describe a sample, test hypotheses and interpret statistical outputs.
To build a conceptual model, test the relationships between latent variables and present PLS-SEM results.
Ideal for structuring a database, cleaning information, creating tables and presenting clear results.
The recommended path if you want to learn Excel, SPSS and SmartPLS as a complete approach for your thesis, final-year project or dissertation.
For you if:
you have already collected responses and need to produce defensible results.
For you if:
your research is based on constructs, latent variables or a theoretical model.
For you if:
your data is disorganised or you lack a method before the analysis.
For you if:
you want to avoid mistakes between preparation, analysis, modelling and interpretation.
Descriptive analysis and tables
Latent variables and measurement model
Organising and cleaning data
Hypothesis tests and comparisons
Reliability, validity, R², AVE, VIF
Useful formulas for analysis
Academic interpretation of results
Writing up SmartPLS results
Data preparation with Excel
Academic tables and charts
Statistical tests and SPSS interpretation
Price
Group
Price
Group
Price
Group
1,000 MAD (≈ €90)
600 MAD (≈ €55)
1,000 MAD (≈ €90)
600 MAD (≈ €55)
Advanced modelling with SmartPLS
1,000 MAD (≈ €90)
600 MAD (≈ €55)
Price
Group
2,000 MAD (≈ €185)
1,000 MAD (≈ €90)
The best-value path if you need to use several programs.
The best starting point to begin properly.
Ideal for going from a questionnaire to a clear analysis.
The right choice for validating a PLS-SEM model.
The clearest choice for your goal
This comparison removes hesitation: you choose according to the problem you need to solve now.
Course
Main goal
Ideal for
Expected result
Complete package
Master the whole quantitative analysis process
Theses, final-year projects and dissertations with data and a model
Complete independence, from database to interpretation
Excel
Prepare, clean and present data
Beginner students or poorly organised databases
Clean tables, readable charts and usable data
SPSS
Analyse a questionnaire and test hypotheses
Surveys, samples, observed variables
Interpreted statistical outputs ready to write up
SmartPLS
Test a PLS-SEM conceptual model
Latent variables, constructs, structural relationships
Validated model, tested hypotheses, structured results
A progression designed to reduce academic stress
The goal isn't just to learn software. The goal is to understand what to do, why to do it and how to explain it in academic work.
Assessment
Guided practice
Interpretation
Presentation
You start from your real level, your data and your academic goal.
Each concept is applied to concrete cases to avoid abstract learning.
You learn to read the results and explain them with clear academic vocabulary.
You leave with a writing approach you can use in your thesis, final-year project or dissertation.
Why do students choose Data Académique?
Results-oriented support, not just software
What you avoid
You reduce methodological errors, poorly chosen analyses, hard-to-read tables, weak interpretations and last-minute stress before submission or the defence.
The courses are built around real academic difficulties: poorly structured databases, choosing the test, interpreting results, conceptual models, writing the empirical part and preparing the defence.
students supported
successful academic projects
major software programs covered
languages: French and Arabic
“I finally understood how to go from my data to interpretable results for my thesis.”
“The SPSS course helped me choose the right tests and explain the results clearly.”
“SmartPLS was complicated for me. The step-by-step method made my model much clearer.”
Sara N.
Yassine B.
Omar H.
Master's in Social Sciences
Master's in Finance
PhD candidate in Management
Before choosing your course
Here are the answers to the questions we are asked most often before enrolment.
Which course should I choose if I'm a beginner?
If you're starting from scratch, start with Excel. If you already have a questionnaire to analyse, SPSS is more suitable. If you have a conceptual model with latent variables, choose SmartPLS. If you want to master everything, the Complete Pack is the best choice.
Are the courses suited to theses, final-year projects and dissertations?
Yes. The courses are built for academic needs: university research, master's thesis, final-year project, PhD dissertation, questionnaire, conceptual model, statistical analysis and interpretation of results.
Do the courses come with a certificate?
Yes, the courses are certified depending on the path chosen. The Data Académique certificate attests to your participation and the skills developed during the course.
Are the classes live or on replay?
Sessions take place online, usually live, with a replay available depending on the course. This lets you review the explanations at your own pace.
Can I ask for advice before choosing?
Yes. If you're hesitating between Excel, SPSS, SmartPLS or the Complete Pack, contact Data Académique on WhatsApp to choose based on your topic, your data and your deadline.
Choose the course that unblocks your academic project
Good software isn't enough. You need a method, a clear interpretation and a presentation you can defend in front of your supervisor or the jury.
Online courses for students, researchers and PhD candidates: academic data analysis, applied statistics, database preparation, SPSS, Excel, SmartPLS, PLS-SEM, thesis, final-year project and dissertation.
