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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: 7,586
Рецензии: 1,435

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
Basic course
(рецензий: 76)
Well taught
(рецензий: 48)

Лучшие рецензии

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!

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.

Фильтр по:

1126–1150 из 1,405 отзывов о курсе A Crash Course in Data Science

автор: Thomas A

1 апр. 2020 г.

Excellent, foundational and conceptual overview.

автор: Sri K L

21 июля 2016 г.

It is a good introductory course in Data Science

автор: Sanjay K C

15 мар. 2018 г.

Great, quick recap on the fast emerging science

автор: Carmen A

3 июля 2017 г.

Good high level information, clearly presented.

автор: TITO L D G

10 июня 2020 г.

Material dinámico y agradable, muy especifico.

автор: Brian N

10 апр. 2018 г.

Good for introduction in Data Science Process

автор: Gustavo d A B

28 сент. 2017 г.

Very good course compilation of Data Science.

автор: ILO, F C

10 окт. 2020 г.

This is really a crash--- yet very impactful

автор: Soumyajit P

6 янв. 2018 г.

Good Introductory course for basic learners.

автор: Anith p

19 мар. 2017 г.

It is good informative course for beginners.

автор: prasanna v

30 дек. 2016 г.

some explanation was too technical too early

автор: Sarah R

12 дек. 2016 г.

High level overview - not technical at all.

автор: JERRY O

19 янв. 2020 г.

Good course - reveals interesting concepts

автор: vivek p

14 февр. 2019 г.

Good course for the start of data science.

автор: Fernando G A

23 мар. 2018 г.

Subtitles in spanish will be a great goal.

автор: Sudeepti B

2 авг. 2017 г.

Good Overview of Data Science for starters

автор: Mercedes B

24 сент. 2016 г.

A very good introduction to Data Science!!

автор: Marek N

7 сент. 2016 г.

Very good and brief overview of the topic.

автор: Dan v

26 дек. 2019 г.

some question is quite hard to understand

автор: Andrey K

19 нояб. 2017 г.

Good course. But a little bit theoretical

автор: Ketan B

4 июля 2016 г.

Good introductory course for Data Science

автор: Sam G

12 авг. 2020 г.

This is a good overview of Data Science.

автор: HemChander K

26 апр. 2020 г.

wonderful learning, very interactive and

автор: AnkitKumar G

2 нояб. 2019 г.

good to understand basic of data science

автор: Artur S

30 сент. 2019 г.

Few chapters are a little bit too lengy.