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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
56,284 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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MG

2020年6月26日

I throughly enjoyed the course and the fact that everything was explained thoroughly. I always enjoyed Dr. White's personal experience with Data Science as well as other Data Scientists point of view.

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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151 - 什么是数据科学? 的 175 個評論(共 10,000 個)

創建者 SRIDHAR B

2020年8月12日

I am completely new to this field, I was worried that what if i can't do this? What if i can't understand? But, here the classes, Quiz, Assignment, Presentation of classes or Videos is so, nice that I understood each and every topic and not at all felt to me like I have completed my course also. I mean listning to 2 min, 5 min videos will not affect you but the content was really cool. Thanks to every one who involved in this presentation / Data.

創建者 Temi A

2020年5月27日

This course was delivered with goal of providing clear understanding of the course objectives. The tutors were very passionate. Thanks to Prof. Murtaza Haider. PhD. who speak to the heart of the topics and especially on the personality traits of a data scientist. Stephen Sherman ("Garbage in garbage out'), Shingai Manjengwa, Mandeep Kaur, Luis Martins, Diana Zarate Diaz and final but not the least the incredible Prof Norman White. Great people!

創建者 Ayesha A

2020年1月9日

I am so impressed with coursera – the courses; the manuals which are actually usable, readable and understandable; and the instructors. If I ever need additional training, you will be my first choice!"

I cannot express how great the instructor was and the overall content of the material. I would defintely recommend this to my co-workers as well as friends. I will be looking into taking more of these classes in the near future. Thank you!"

創建者 Teri W

2020年12月5日

Good overview of Data Science. There were a few glitches (eg, it said the lab would take 30min but it took only about 5min so I was confused if I had done it right or if I was missing something; I did get feedback/assistance on this issue from an instructor within a couple days). But overall, I felt like it presented a lot of useful basics about data science - how it came to be, how it is used, and what qualities makes a good data scientist.

創建者 Sanket N

2020年7月15日

This is one of the most wonderful course for beginers, who want's to do career in the data science field. This is the introductory level course and each and every thing in this course tought with very easy format and it is easily understandable, So I think is the best course to start with data scince , I personally recommend to do this course as if anyone want to learn the data science then they must have to begin from this course.

創建者 Dilek I A P

2019年9月17日

Very informative introduction to Data Science. I liked how they describe the Data Science, Data Scientist. It was made clear that data science is not only a job but it is kind of a life style. And, while watching you become aware of the act that as an engineer you are a data scientist without knowing. Becoming aware of it makes you want to learn more about the tools you can use to make it more efficient. Thanks to all course Staff.

創建者 Alexandru F

2019年7月22日

If you are just starting your Data Science journey or are simply curious what it means (as it's a term that is getting more popular and is being thrown all over the internet), this course will give you the answer set in the course's name "What is Data Science?".

Careful, the people explaining in the videos show a genuine interest in the subject and it might rub in. It might even spark your curiosity and go on further learning.

創建者 Chandan R

2020年7月12日

Excellent introductory course. The data science specialization by IBM presents a debatably perfect roadmap to get started with data science without having prior technical experience. This course itself outlines what data science truly is and helps you get a clear idea of skills, tools and motivation for pursuing data science. I would recommend this course to anyone who is confused if he/she should pursue data science or not.

創建者 Surbhi B

2021年1月20日

This course is really informative. It covers all the fundamentals , concepts of tools used in data science through examples. It clearly tells what qualities one should have to become a data scientist. With all the research paper used and briefly explained makes easy to understand the terms like data mining , storing , analyzing and consuming. Questionnaire is perfectly made to capture and memorise the important points in

創建者 Abhishek P G

2020年6月16日

Yes, I did it and it helped me gain more skills and refreshed on my outdated skills that I learned long time ago. The IBM Data Science Professional Certificate has great content and the instructors are competent enough. I will learn how to structure data science problems and introduce you to the entire data science workflow. The big advantage I will learn is how to use cloud to develop and deploy machine learning models

創建者 Soumyajit D

2022年7月28日

I really enjoyed and got to learn about Data Science from experienced working professionals like Mr. Murtaza Haider and professors like Dr. Norman White . And, also the collective wisdom from all the developers commity really helped me to understood whats going on in Data Science field and gave me a fundamental idea about What's Data Science is . I can't wait to join for the next few courses in this specialization.

創建者 Suraj D G

2020年5月16日

I have already taken one course on data science, but the quality and content this course has is really broad. The way every data scientist professional explain their views on how the career would be on the day to day life and what skills do you need to develop to be one of the best in the field. Very excited as I completed the first course and looking forward to complete the IBM certification within next 3-4 months.

創建者 MATIAS R

2019年5月6日

I believed this course has given me a much better understanding of data science and some other related topics as machine learning, deep analytics and so. I realize that there is a lot more to come If I would like to be a professional someday in this subject. Although data science it´s a very complex topic, the way that the course is presented and the professionals that contributed made it a very pleasing experience.

創建者 Engr.Sudipto B S

2020年1月14日

This course is fully well designed and have developed in some particular ways for knowledge development in data science and engineering. I have grown a well amount of interest in data science by going this course. More quiz based on this topic is needed and also needed some important reference for more better and appropriate books for more knowledge gathering. But overall the course is marvelous and well oriented.

創建者 Jerin V

2019年11月20日

It was a very informative course. For someone who wants to begin with Data Science, this course can be the best first step. I've learnt a lot from this course. As I said this course is informative so don't expect any hands-on. Questions like what is Data Science? or How to become a Data Scientist? etc. will be answered in this course. Thank you Coursera for the financial aid. Looking forward to many other courses.

創建者 Michael S

2021年3月8日

I have a great understanding of the role of the data scientist and their objective.

Its great to know all the parts that make up data science and how data science has changed the world today.

The videos interviews give perspective and understanding of the role of a data scientist and the new tools and trends in data science.

The readings are great as they solidify what is being said in the interviews.

Great course!

創建者 Samsul A A

2019年11月26日

So I was doing Data science from other free sources and of course, gained pieces of knowledge from those free sources. But learning from here I guess is giving me more structured information I required in order to motivate myself to learn more about Data Science. The way the videos interacted with me as a user was really informative and qualitative. Really looking forward to completing the further courses.

創建者 Jada N

2019年10月5日

It is a basic requirement of a student to know what he/she is actually going into. I have found that this course provides an intuition on 'What is Data Science?' 'How it was occurred?' 'What are the fields of Data Science that made this thriving in the modern world?' This course will give you an insight on what you needed to know before you go into the depths of Data Science. I have found it useful, indeed.

創建者 Raymond M A

2019年10月22日

Excelente curso para iniciarse en conocer lo que es el big data, las informaciones son proporcionadas por expertos en la materias y años de experiencia en todo el contenido, las practicas son bastante clara y detalladas en el laboratorio iguales las pruebas, el personal ha realizado un gran esfuerzo para hacer comprensible este curso a estudiantes que no tienen ningún conocimiento de lo que es el big data

創建者 Choong N P

2020年10月21日

This course was very helpful and useful for me to start new chapter in my subject expert domain in corporate cash management. I realised that data science is requiring three fundamental skills - proficient knowledge in your domain, communication and some technical skills required for data science jobs. The important drivers are curiosity for your domain and passion for solving problems in your domain.

創建者 Mimouni M A

2018年9月6日

this course is awesome .

i really enjoyed it, thanks IBM and thanks Coursera .

in the first week you will answer to these questions

what is data science ?

what data scientists do ?

how to become a data scientist

in the second week you will know about data science's topics such as big data, data mining , machine learning and neural networks

in the third week you will things about data science in the business

創建者 Yash S W

2020年4月16日

Excellent quality content! It's a great introductory course that really gets you interested in Data Science. I would highly recommend it to anyone curious about learning about what Data Science is about. Very learning experience, I am a beginner in DS, but the instructors in this course simplified the contents that made me I could easily understand, tools and materials were very helpful to start with.

創建者 AckoGon

2020年12月19日

This was an excellent introduction to Data Science, and it was great listening to individuals that are engaged in this field throughout the video series. It effectively placed into perspective the expectations coming into Data Science and the potential for becoming involved in this field. Overall, this was a great first of nine courses delving into Data Science, I can't wait to start the next course!

創建者 SK A F

2019年8月20日

I just completed the course, and I am pleased with the material and lecture video. The course is well organized to explain What is data science and who is the data scientist with the responsibility of them. It also has a bit of exercise for IBM Watson. I get the financial aid, and I am very much pleased to COUSERA and IBM both for design this type of unique course and supporting me by financial aid.

創建者 Meher P D

2022年3月7日

Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience.i learn lot from this coarse.