What experience level is required for HECMontrealX: UX Data Analysis?

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: UX Data Analysis?

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: UX Data Analysis?

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: UX Data Analysis

Name: HECMontrealX: UX Data Analysis
Price: 30627 INR
Availability: InStock

Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations.

radio_button_checkededX Subscription

₹12,510/yr

Get this course and thousands more with a edX Subscription subscription.

radio_button_uncheckedIndividual Course

₹306270

Keep the course forever with lifetime access and receive a certificate.

TeamsBilled annually • 14-day free trial

₹33,026

EnterpriseFor organizations with 50+ learners

Custom Pricing

Why choose Essentials (Small Teams)?

check

1 Academy,16 Self-Paced Courses

check

Self-Paced Learning ,Employee Upskilling

Compare all plansarrow_forward

verifiedGet this course for free with the Coursera Plus subscription.

✓ Compare courses before making a decision

Check Latest Price →

Price may vary. Check latest price on provider site.

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

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

Descriptive Statistics.
Study Design.
Bias Sources.
Hypothesis Testing.
Means of Comparison.
Two-Way ANOVA.
Applying it all to UX.

See side-by-side differences in what you’ll learn

Description

Do big data and UX speak to you? This MOOC will give you the methods and tools to analyze the whole spectrum of data we handle in UX, from qualitative user research and quantitative user testing data analysis to big data Web analytics.

You will be able to leverage insights from this data to make empirically-based recommendations towards frictionless, optimal user experiences.

Taught by award-winning faculty members, this course is an introduction to the statistical methods and tools useful to UX data analysis. No need to be a math whiz, this course was designed to be accessible to everyone.

No previous stats knowledge is needed. You will need to use MS Excel to do the final exam and complete the certification. Join us in the journey to unlock the insights of UX data, through the UX Design and Evaluation MicroMasters, or as an individual course.

See how this course compares with alternatives