In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....

並び替え： Самые полезные

Not very helpful. Unnecessarily lengthy

A decent intro course to Data Science !

A good beginning to a promising journey

Too little information and too basic.

Really basic stuff. Good, but basic.

we need more explain in this videos

Good Course, but needs more updates

Basic introduction to data science.

Just an introduction, not so great.

Puede ser más dinámico y práctico.

Should have been in more details.

I am struggling to pass my quiz.

Already had experience with R.

Getting started with the tools

This course was far too easy.

Human Interaction is missing.

Students be more interactive.

Easy but not terribly useful

The sound volume is very low

Good at the Beginning level

Good and truly basic start.

short but good introduction

Very basic introduction...

A very good for beginners.

It's very straightforward.

Become a skilled supply chain leader in 4 months

Machine Learning for Analytics MasterTrack™ Certificate

ジョンズ・ホプキンズ大学（Johns Hopkins University）による The Data Scientist’s Toolbox の受講者のレビューおよびフィードバック

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The Data Scientist’s Toolbox： 3926 - 3950 / 4,191 レビュー