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Вернуться к A Crash Course in Data Science

Отзывы учащихся о курсе A Crash Course in Data Science от партнера Университет Джонса Хопкинса

Оценки: 5,216
Рецензии: 983

О курсе

By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials. This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. The role of a data science manager Course cover image by r2hox. Creative Commons BY-SA:
Основные моменты
Well taught
(рецензий: 48)
Basic course
(рецензий: 76)

Лучшие рецензии


Sep 10, 2017

This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.


Jan 02, 2018

It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,

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476–500 из 952 отзывов о курсе A Crash Course in Data Science

автор: Sheetal K

Oct 21, 2019

Simple and easy to comprehend, interactive and well paced

автор: John L

Oct 22, 2019

The course was very enlightening. Very well structured and examples very straight-forward and easy to understand. The only thing I would suggest, and I suspect this is more of a Coursera thing rather than from the course itself, is that when you are following along with the transcript in a lecture, the video window becomes unworkably small. If there was a better split between text and window, that would help immensely.

автор: JENEETA

Oct 03, 2019


автор: Zachary S

Dec 04, 2019

Very helpful to learn as a beginner

автор: Milling, T

Nov 12, 2019

The course gives a good general understanding of Data Science and to understand some of the tools and techniques used to acquire data, analyzing data and to answer questions to determine if the data acquired is beneficial.

автор: TONNY L

Apr 09, 2018

Definitely gives a good foundation into Data Science

автор: Teresa B

Mar 23, 2016

Great, clear overview of the standards, principles, terms, and applications for data science - geared toward executives, managers, and professionals working with or directing colleagues and team members specializing in data science. A great snapshot for organizational leaders seeking to get a better grasp on how to make critical decisions about data science investments, resource allocations, applications, etc.

автор: Shivakumar H

Oct 23, 2017

It was short and crisp

автор: Emilio G

Aug 27, 2018

Great content, just right to start the data science journey.

автор: Aaron P

May 17, 2019

Good introductory look at data science

автор: Sergey V

Feb 12, 2018

Very basic information, exactly what I need

автор: Wira M

Oct 10, 2017

Good as a start points, the instructor team is very inspiring

автор: Ramesh K

Apr 05, 2017

Excellent course for beginners who wants to grow in Analytics space

автор: Alejandro S

Oct 13, 2018

Quick and good introduction to data science. Lectures are quick and reading is also, and the value you get out of it is worth it for a week of work.

автор: Kshitij G

Feb 22, 2016

I think the course is apt to begin getting a feel of data science management and needs. I have realised during the course that it is a fairly complex discipline for a beginner with no exposure to statistics and the terminology.

Initially it might seem like over the top, but with some research and reading of suggested materials , one shall be able to get a hang of it in due time.

I also believe the instructors have had to work hard to make sure the upper level course can be delivered as close as possible to the level of a beginner.

My only suggestion is if they could add a list of sorts for statistical jargon , explained in layman terms, which would actually enable quicker absorbance.

автор: Agisilaos S

Jan 11, 2017

Excellent introductory course!

автор: Rachad

Oct 28, 2015

A great overview on data science world.

автор: Li X

Oct 03, 2019

Definitely connected the dots together for me. Easy to understand and shed light on how to making progress on more learnings. Now I am not afraid of any data science questions because I have a good big picture.

автор: Marc C

Jan 31, 2019

Excellent starting intro course

автор: David A

May 04, 2017

Excellent introductory course for the interested in Data Science!

автор: Chris S

Jul 18, 2016

Great course

автор: LUDOVIC B

Nov 04, 2019

general but super interesting

автор: Michelle W

Mar 16, 2018

great series. instructors are clear, use relevant examples, and keep it simple.

автор: Kyle M

Oct 06, 2019

Good Course, very in depth

автор: Ye M Z

Oct 05, 2019