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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

4.5
звезд
Оценки: 7,155
Рецензии: 1,362

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: https://flic.kr/p/gdMuhT...
Основные моменты
Basic course
(рецензий: 76)
Well taught
(рецензий: 48)

Лучшие рецензии

SJ
9 сент. 2017 г.

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.

MD
27 авг. 2016 г.

Is really hard to summarize the potential of Data Science and being clear, but I think that the instructors have done their best, so that we can achieve the most from the Course.\n\nGreat Job!

Фильтр по:

901–925 из 1,331 отзывов о курсе A Crash Course in Data Science

автор: Sarah B

2 янв. 2017 г.

Good introductory course. A bit dry with no interaction with other students (the forums were not popular and there were no peer-graded assignments).

автор: Martin F

21 июня 2019 г.

All good apart from the video explanation of "Software" which came across as a bit all over the place. Likely to cause more confusion than answers.

автор: Federico J D F

10 сент. 2020 г.

I really enjoyed stuying this class. The content is very relavant and practical. I wish it could have shown more examples on the toolbox section.

автор: Afshin M

15 февр. 2018 г.

A good general overview that can be finished pretty quickly. There are some terms thrown around that might throw you if you get hung up on them.

автор: Daniel C d F

22 окт. 2016 г.

Great course for managers that what to start understanding the most relevant concepts about the data science area and how to apply it in practice.

автор: Craig D M

27 авг. 2020 г.

This course gave a very nice overview if the subject and role-players. I am looking forward to doing the rest of the Modules/Courses. Thank you.

автор: Debashis D

8 янв. 2018 г.

Good starting course. Some of areas could have been explained little more easier way for sake of people who are not so well versed in statistics.

автор: ranjan k

25 сент. 2017 г.

The course give a overview about data science and its different aspects. A very good course for someone who wants to start learning data science.

автор: Stephen K

4 февр. 2018 г.

Some of the lectures/rers were better than others, but on the whole I got what I wanted from the course. 5-6 hours' investment, so not too much.

автор: Niall R

4 июня 2017 г.

I enjoyed the course - the right level of detail for the proposed audience. I think the statistics vs Machine Learning wasn't totally relevant.

автор: Catarina I A M

5 мар. 2020 г.

Course structure can improve, eg. have it split by week (investment 0.5-1 hour a week?), have pre-reads instead of articles within the quizzes.

автор: Alex D

1 янв. 2017 г.

Some questions confusing (with less than 5 so missing 1 was a fail) and a few videos were lacking written summaries. Other than that not bad

автор: Inaam U R

15 мар. 2019 г.

Its a good course of study to dive in the data science word. To know about the tools and techniques for a data analyst and data scientist.

автор: Dhruv D

4 мар. 2019 г.

Some minor technical issues, but the course was informative as a quick introduction to the subject and the course content was engaging.

автор: Evaluation R

20 дек. 2019 г.

The presenters talked so quickly I had to watch the videos 4 or 5 times to catch everything. Other than that, great into to the topic.

автор: Ebony H

2 июля 2018 г.

The questions on the quiz for the secrets of success to not align with the section taught. Overall decent to understanding the basics.

автор: Ramaswamy V

14 апр. 2017 г.

The course can be described as the first hour lecture by the professor. It introduces students to data science, its uses and pitfalls.

автор: Mathieu D

17 окт. 2018 г.

Good summary, good overview. Good to go over the basics again! Could be a bit more thorough on some methodologies out there, however.

автор: Bart v d G

26 нояб. 2017 г.

Good overview of data science concepts. Uses quite some terminology that could be better explained and it is (off course) very brief.

автор: Bhagyalaxmi B N

26 мая 2020 г.

Successfully completed this course. I really enjoyed learning with coursera site. I hope this will help me achieve my career goals.

автор: Usha R V

26 февр. 2018 г.

Excellent Course.With in Short time i have understood what is Data science and its core functionalities.Excellent Teaching faculty.

автор: María d R O M

3 июля 2020 г.

Te da un panorama general sobre la ciencia de datos; en algunos temas, sobretodo en los quizzes, utilizaron términos muy técnicos.

автор: Yichen N

13 мар. 2017 г.

Very useful introductory course to help you get familar with different fields in data science and typical data analysis procedures

автор: Alejandro G d C

5 сент. 2016 г.

Information is well presented and keeps a good pace. Quizzes could be improved.

Additional material is very good and interesting.

автор: AASHANA K

25 мая 2020 г.

The course is very good for a fresher like me who wants to learn about data science.Thanks to all the teachers for this course.