Created by:   ESSEC Business School

  • Nicolas Glady

    Taught by:    Nicolas Glady , Professor, at ESSEC Business School

    Marketing Department

Basic InfoCourse 1 of 4 in the Strategic Business Analytics Specialization.
Commitment4 weeks of study, 2-3 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.4 stars
Average User Rating 4.4See what learners said
Course 1 of Specialization
Syllabus

FAQs

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How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
ESSEC Business School
For over a century, ESSEC has been developing a state-of-the-art educational program that gives the individual pride of place in its learning model, promoting the values of freedom, openness, innovation and responsibility. Preparing future managers to reconcile personal interests with collective responsibility, giving consideration to the common good in their decision-making, and weighing economic challenges against the social costs are some of the objectives ESSEC has set for itself. Its ultimate goal? To create a global world that has meaning for us all.
Pricing
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Ratings and Reviews
Rated 4.4 out of 5 of 267 ratings

Very useful, practical anda easy to follow.

Great course! I believe it would be a good idea to have the text beside the videos, not below. Also, one thing that was difficult for me was the pre-process of the data (handling NA's). I believe that you should suggest some methods for that and what is the right way to do. Thank you!

Best regards,

Evgenia Rodopoulou

very rich and valuable course !

Practical skills taught for how to use data tool for business purpose. It is exactly what i am looking for!

If you do not know anything about R, it is suggestible to take basic R language course before enrolling in this one.

I myself was a newbie in data field, but I took several courses of "Data Science" by John Hopkins University before starting this one. I am delighted to find that the coding thing I learned would finally have a role to play in possible future career.