What experience level is required for HECMontrealX: L'analyse de données UX?

This course is aimed at the Intermediate level. Having some basic understanding of the topic will help you get the most out of the curriculum.

How long does it take to complete HECMontrealX: L'analyse de données UX?

The total duration of the course is approximately 6 weeks. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

Do I get a certificate after completing HECMontrealX: L'analyse de données UX?

Yes, a certificate of completion is included, which you can add to your professional profile or resume to showcase your newly acquired skills.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Computer Science and adjacent technical fields looking to upskill.

Computer Science

HECMontrealX: L'analyse de données UX

Name: HECMontrealX: L'analyse de données UX
Price: 30627 INR
Availability: InStock

Devenez un scientifique des données UX! De l'analyse de données qualitatives à l'analyse du « Big Data », vous serez en mesure de dégager des « insights » des données afin de formuler des recommandations sur des bases empiriques.

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Computer Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlyCertification IncludedSelf-Paced Learning

SKILLS TO
MASTER

Computer Science Basics

Fundamental principles and concepts

Practical Application

Real-world project implementation

Best Practices

Industry standard workflows and guidelines

Problem Solving

Core Concepts

Implementation

Workflow Integration

Optimization

Careers:Frontend Developer, Full Stack Developer, Web Engineer.

Quick Facts

6 weeks

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What You’ll Learn

Le « Big Data » et l'UX vous interpellent? Ce MOOC vous donnera les méthodes et outils pour analyser le spectre des données traitées en UX, de l'analyse qualitative aux analytiques Web.

Vous apprendrez à tirer parti des informations saillantes qui peuvent etre extraites de ces données. Vous formulerez ainsi des recommandations ancrées dans un savoir empirique afin de créer des expériences optimales exemptes de frictions.

Ce cours, enseigné par des professeurs maintes fois primés, est une introduction aux méthodes et outils statistiques utiles à l'analyse des données UX. Il a été conu pour etre accessible à tous.

Aucune connaissance préalable en statistique n’est requise. Vous devez avoir accès au logiciel "Excel" pour compléter la certification (nécessaire à la complétion de l'examen). Venez découvrir ce qui se cache derrière l’analyse des données UX, avec ce cours ou en entreprenant le MicroMasters en Design et évaluation UX.

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