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Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University

4.6
stars
33,829 ratings

About the Course

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....
Highlights
Foundational tools

(243 Reviews)

Introductory course

(1056 Reviews)

Top reviews

LR

Sep 7, 2017

It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.

SF

Apr 14, 2020

As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.

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501 - 525 of 7,122 Reviews for The Data Scientist’s Toolbox

By David R

Sep 2, 2019

Excellent course giving a high level view of Data Science and the tools that will be used in the course. The AI instructor voice is a bit weird but you get used to it pretty quickly.

By Diego A Q

Jun 18, 2019

A great introduction to data science and also to the R Studio environment. R Studio is going to be very used through this specialization, so it is very useful to be familiar with it.

By Thiago M

Jun 3, 2019

Leveling course to start in the discipline of data science very interesting. It contextualizes in a simple and objective way the necessary tools and environment for a data scientist.

By kelly s

Oct 20, 2017

Great Introduction to the tool's we'll need. I like it as a separate class rather than trying to get new tools to work or obtain new material on a timeline during the other classes.

By Son N

Nov 4, 2020

Great course to start your journey in Data Science. I learn a lot of interesting things in this course. It will not dive deep into the R language yet, but more like an introduction.

By Elton S

Sep 10, 2020

É um curso simples e bem direto, porém muito útil para estudantes como eu que nunca tiveram contato com o conteúdo, os exercícios são ótimos, consegui fixar os conteúdos muito bem !

By Paula C

Jun 21, 2016

Course teaches how to acquire the tools necessary to complete the Data Science specialization. Explanations were clear, and quizzes and assignments were straightforward to complete.

By Camilo A A

Jun 22, 2016

Es un excelente y necesario curso. Nos da luces sobre las herramientas que deberíamos usar para optimizar nuestro trabajo (en Big Data) tanto a nivel individual como colaborativo.

By Dean E

Jan 25, 2016

Don't just rely on the lectures. Use this course to introduce you to a bunch of tools that you'll need when doing data science, and then go study these tools in depth on your own.

By Brayan D A G

Aug 17, 2020

Para ser inicial, cubre amplios aspectos iniciales de la carrera de cientifico de datos, provee de manera clara esas herramientas utiles para el dia dia del ejercicio profesional.

By SAMUEL H S

Jul 12, 2020

Great background on R and GitHub in general to prepare students like me when jobs require people to edit and improve their own project. Pacing is very good. Comprehensive as well.

By Victor O A

May 8, 2020

Awesome introduction to the field of data science.. good foundations that will definitely take me far as a data scientist contributing more responsively to improved health metrics

By Eric H

Jul 11, 2018

A brief but comprehensive fly-over of the specialisation, topped off with some software previews and installations. Bit of practical hands-on and we're good to go. 1 down 9 to go!

By Adedoyin O

Mar 24, 2018

This course was a very good intro to Data science for someone coming from a background with little coding experience. The instructors were engaging and assignments were practical.

By Pouria E T

Oct 27, 2016

I had so much fun learning from this course. I think this course has been constructively laid out and the quality of the presented materials are at it best for such a vital field.

By pragneydeme

Sep 25, 2020

Excellent Course. It is the foundation course for the beginners who wants to learn Data Science. Thank you for the Johns Hopkins and the teachers who have prepared this syllabus.

By Alejandro O G

Jul 15, 2020

Excellent course. I am happy to have enrolled in this specialization and look forward to the rest of the courses. I liked how each topic was covered in video and text. Brilliant!

By Luis F O M

May 8, 2020

Es un curso bastante básico para aquellas personas que nunca han usado la plataforma de Rstudio, sin embargo tiene unos conceptos interesantes que merecen la pena tener en cuenta

By paomogu

Dec 30, 2017

This course is very good for somebody who don't have any experience for data handling.I think it gives me much help to let me go another step further in the road of data science.

By Sean O

Mar 12, 2017

Good course, but maybe this course and the following course R programming could be combined into an 8 weeks course as that one is took longer than 4 weeks and this one took less.

By Lisa A

Jul 10, 2016

A great little course, quite basic but very informative if you - like me - do not have a lot of knowledge on the subject. It can be taken in a day if you have some time to spare.

By Zain K

Feb 8, 2016

This course was a great start. It was simple enough to follow, I guess the real deal is in future courses. Definitely leaves a good impression for the rest of the specialization!

By TABI D

Apr 28, 2022

I am very glad giving this opportunity to study this course. This course has helped imporoved my skills as a data scientist. I will be glad to always be given a chance to study.

By Theodoros B

Nov 11, 2020

Very good!

This course offered me lots of knowledge about basic concepts and tools for becoming a Data Scientist.

It is well structured and easy to understand in most parts of it.

By Angelica F H

Aug 17, 2020

Es un curso muy interesante, fue un poco laborioso ya que el inglés no es mi lengua nativa aun así lo recomiendo, quedo con una grata experiencia y un buen conocimiento básico.