Created by:  ESSEC Business School

  • Nicolas Glady

    Taught by:  Nicolas Glady , Associate professor, at ESSEC Business School

    Marketing Department
Basic Info
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
Syllabus

FAQs
How It Works
课程作业
课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

来自同学的帮助
来自同学的帮助

与其他成千上万的学生相联系,对想法进行辩论,讨论课程材料,并寻求帮助来掌握概念。

证书
证书

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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.
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Ratings and Reviews
Rated 4.4 out of 5 of 315 ratings

I had a good understanding of R, regression & classification algorithms. I found this course very helpful in understanding how those methods can be implemented in analyzing various business problems for strategic planning.

Some of the recitals are a little off and glaze over essential details. But, as a pragmatic and practical introduction to advanced techniques in R, I've not come across a better course. Very highly recommended.

Truly found the content extremely useful and well organized. Would recommend to any consultant tasked with sourcing, discovering, and communicating data with their clients, including analysts (who can appreciate the recitals) and managers (who can skip the recitals while still gaining terrific concepts and strategies from the lecture videos).

Nice introduction! very nicely presented, may more material to consult would be nice.