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返回到 什么是数据科学?

學生對 IBM 技能网络 提供的 什么是数据科学? 的評價和反饋

4.7
56,398 個評分

課程概述

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today....

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MS

2020年9月17日

very useful. i liked and enjoyed the journey of learning in these five weeks. the instructor is very clear and taught very interestingly. Thanks to her. she looked poised and cheerful and professional

PD

2018年7月18日

I thought this course introduced the topic of data science very well. I think I have a much better idea how to describe data science and common terms associated with the field (like machine learning).

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8476 - 什么是数据科学? 的 8500 個評論(共 10,000 個)

創建者 Joseph M

2019年2月4日

Lots of fluff - good for people who may have never heard of data science, but I feel like that crowd and the people taking this certification course are pretty mutually exclusive.

創建者 Chiara P

2020年4月18日

Good course, good introduction to the topic but didn't like getting stuck in the peer-review system. Could have used that time to learn instead of spamming people to get reviews.

創建者 Lohith U

2019年11月22日

It was my pleasure to start Data Science using this introductory course. Content was clear. Now, i am pretty much clear about data science, scope of data science, use cases, etc.

創建者 Fernando C

2022年3月27日

It was a good introduction to what is Data Science. It looks like there are different perspective on how to define it , so it was good to have this course to go over all of them

創建者 shayan h

2022年2月23日

A brief introduction to what data science is and which kind of skills are needed to have a successful career in its related fields such as machine learning, deep learning and AI

創建者 Ahmed A H

2021年6月22日

The course is good and I like it. I just don't like the memorization. "Who is this guy?" or "where was he working?" are not good questions. Please replace them with better ones.

創建者 Dam M

2022年3月27日

T​he course does provide very good information. I like all the experts in the videos. However I think it can have evem better content. The reading content seems a little dated.

創建者 Erika M T G

2021年9月12日

L​os subtítulos en español requieren mucha atención y una auditoria por parte de un traductor profesional. Hay un par de videos sin subtítulos en iOS y errores en traducciones.

創建者 Jeremiah T

2019年12月6日

This is a good introductory course. It felt a little slow to me because I had just finished a book covering most of this content. I'm excited to get into the following courses!

創建者 Ankita S

2019年2月13日

Good Introduction to the v.interesting area of data science, its applications and the techniques/tools that are used.

Being curious is the ultimate thins to be in data science!!

創建者 ABDELOUAHAB S

2022年4月14日

Bonne présentation du rôle du data scientist et des compétences attendues pour comprendre en quoi consiste l'analyse des donnes et la plus value attendue d'un data scientist .

創建者 Jhoanna C

2020年4月28日

Basic introduction to the concept of data science and the role of a data scientist / analyst. Good for setting the ground for the next courses, which should be more technical.

創建者 Asad I

2020年4月22日

The course is really good for the people who want to start their career in data science or are in the beginning stage. Course overviews all the basic elements of Data Sciences

創建者 Ashish U

2020年4月17日

Its the best introductory course for the beginners in Data Science . Individuals who want to know about the Data Science can go through this course for thorough understanding.

創建者 DEBSANKAR M

2020年3月14日

Very nicely arranged for the beginners.Study materials should more precise and compact.

At the beginning steps are to be mentioned to complete the course.

Ok ,very good.

Thanks.

創建者 Shreya R

2019年6月7日

Its a really chilled and informative introduction to data science. It can help you gain more perspective from various people who deal with data science in their everyday life.

創建者 Juan P

2019年5月6日

This course allows to immerse in Data Science subject. However, it is a kinda basic. It would be better if we could learn more about some software, tools, etc. in this course.

創建者 Eduardo C

2022年7月27日

Las evaluaciones toman en cuenta detalles que me parece que no son tan importantes, tales como los de la lectura de "Regression", pero en términos generales es un buen curso.

創建者 Matthew M

2019年2月19日

This provides a solid introduction to what data science is from a number of perspectives. The question answer format, as well as the presence of the transcripts was helpful.

創建者 Fayaz O

2019年2月7日

Good introduction to data science for the complete novice. Well presented, and the exercises were useful for understanding. However, it could have been a bit shorter, though.

創建者 Ryan F

2022年7月29日

Quality introduction to the topic for someone with little to no exposure, some content redundant, but overall usefull in exposing one to, and explaining, the basic concepts.

創建者 Maureen F

2021年8月25日

Procedure unclear. Wasn't sure if there was book I was supposed to get and didn't know test had started on peer part, wasn't ready to take it, was just heading out to lunch.

創建者 Christian R R S

2021年3月23日

Introductory course in data science, but it has the necessary information about the scope of what is data science and a data scientist, a general course to enter this world.

創建者 Carsten K

2020年1月17日

Great overview and introduction on what data science is. Only minus is that the reading material is hard to read on a mobile device, as it does not scale to the screen size.

創建者 helen

2019年6月27日

Gives a good brief background about the type of people that get into data science and what it could potentially entail. Good for a beginner to see what is possibly expected.