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4.5

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7,129 Bewertungen

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1,354 Bewertungen

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...

Highlights

Basic course

(76 Bewertungen)Well taught

(48 Bewertungen)MD

27. Aug. 2016

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!

SJ

9. Sep. 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.

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von Conrad K

•9. Apr. 2018

The course was easy to get into. Little prior knowledge is required. I like that the teachers refer to external articles and papers, which allows to dig deeper into the field. Overall, I feel like I better understand the goals and challenges of data science. I expect from the next courses to be a bit more concrete and practical so that I can understand how to apply data science in context.

von Ivet H

•14. Nov. 2020

As someone who is interested in data science field and wants to learn, I find it diffucult to choose the right programme for me. Do I start with R, Python, statistics? This course is helpfull in order to give you a broader idea about data science as a field of interest, talks about differencies that might not be clear at first and basically gives you a good framework to start with.

von Siti Z B K

•4. Sep. 2020

Thank you for this course. I am interested in learning Data Analytics but am a total beginner with no relevant technical background or work experience. This course provided a bite-sized introduction to what Data Science is and presented the information in a clear, concise and easy to understand way. I am glad I enrolled in this course, thank you again!

von john m

•12. Sep. 2020

Thanks for Causera (John Hopkins University) for changing my life by given me a Career. Thanks to the three instructors, Jeff Leek, Roger Peng and Brian Caffo these three professors are genius in develivering good lectures!! even if you don't want to understand you will understand. These Trainer are down to Earth in changing lives with Data Science.

von Philline L

•2. Nov. 2020

Appreciated Data Science more through this course. I especially enjoyed the additional readings about the hype vs reality. I also liked the comparisons between theoretical statistics and machine learning. This was a good refresher. It also kind of opened me to a new way of looking at data and that I think is what I valued most about this course

von RAJANIPOTTURI

•27. Sep. 2018

This course given great insights various Data science tasks and Data science organization overview. I strongly recommend this course for all execution who is looking for kick start with DS. Watch this course with great passion and lot of interest as it may introduce you to topics from various practices i.e. Engineering & Statistical methods.

von Celine L C

•17. Juni 2017

Very accessible material for new to data science manager. I liked the structure of the class, the examples used to explain data science vs traditional statistical analysis. it does deserve the name of crash course as its is very complete and gives an overview of the definition. content, measurements, tool of a data science project. Thanks !

von Gregorio A A P

•18. Sep. 2017

Perfect thanks , only that we would thank all the Spanish speakers who please translate into Spanish all their prestigious courses of indistinguishable quality. again thank you and I hope to take this in consideration so they will contribute even more to improving the quality of education in Latin America and South America.

von Hemal S

•30. Okt. 2019

An excellent course for someone just starting out their career in Data Science or are an aspiring data science enthusiasts. The technical terms are easy to understand and presented in such a way that it provides good understanding of Data Science and it is applied in various industries to for business benefit

von Kathy C U

•31. Mai 2017

I took the course in college which is Introduction to Access Database. And, this Data Science Introduction Course gives me the idea that most company are already depending in computer and widely arranged database and servers. This course tells us what is the role of the technology in our industry today.

von TB

•24. Sep. 2020

Great overview course on data science. I will take insights gleaned from course and readily apply on the job. Increases insight on machine learning, how to structure successful data science research, and introduces the key software tools you need to conduct data analysis and communicate your results.

von Ravindu F

•18. Juni 2020

This course is a great introduction to data science. It was very easy to understand, and gave a very good idea on what data science is, how statistics are used in data science, and tools & types of tools that can be used. This provided me necessary knowledge to pursue other intermediate courses.

von Francesco I

•2. Juni 2017

Very well done introductory course to Data Science. I really appreciated the explanatory lessons and the study material. I found the course very rewarding and entertaining. I learned new concepts and I warmly recommend this course to everyone interested in gaining more experience in this field

von madhav

•7. Dez. 2015

As the name suggests, this is a Great kick start to understand what is data science. This course have given me a an insight into what is this big name Data Science is all about. As a Statistics graduate and a Software Implementer, I feel that my domain has taken a Thanks Brian, Jeff and Roger.

von Siriine E K

•11. Nov. 2020

A decent overview on data science with interesting tips and advise on how to conduct your research and experiment. Gives an outline of your research progress and knowledge on whether you are on the right track. Plus, nice insights to look into and encouraging to learn more about the field.

von Ayna M

•12. Dez. 2017

This is my first Coursera course, it gave me a great overview of what data science is and isn't, what the differences are between the statistical modelling and machine learning, what a data science project looks like from start to finish, laid a nice foundation for the next course!

von VERONICA C

•31. Aug. 2017

This is an excellent course to get a better understanding of the basics aspects of data science. With a balanced level of difficulty that keeps you learning and engaged across the course. I appreciate the use of real examples and additional readings suggestions, for me that made

von Katharina H

•2. Dez. 2015

As a complete novice to the field I found this course really useful to get a concise overview and understand some of the trends in big data/ data science. I liked the way the lecturers highlighted that hype needed to be distinguished from what data science can really do for us.

von Morgan S

•15. Dez. 2017

Excellent materials with engaging instruction. Exactly as expected. Crash course. Descriptive enough for basics to get you started and to familiarize a novice with the process.

Not a course that is meant to stump you, but teach you or refresh your knowledge of the basics.

von Ninad P

•19. Feb. 2019

The instructors have provided a detailed account of what Data Science actually means, without having to actually dive into the minutiae. The course focuses on providing clarity about the field and helps you look beyond all the hype. All in all, great clarity, great focus.

von Chin C Y

•13. Aug. 2019

This course gives me a glimpse of what Data Science is all about in a very short period of time. I have colleagues working in Data Science in my function and at least I know what they are doing and what is the purpose of doing all these Data Science functions! Thank you.

von Victor H D C

•12. Juli 2020

Bom curso para inciar na Ciência de Dados, ainda mais vindo da instituição John's Hopkins que é uma das lideres mundiais na área de medicina, com toda a certeza o que vou aprender nos próximos cursos e o que já aprendi aqui será usado no meu serviço e na vida acadêmica.

von Keuntae K

•24. Feb. 2018

Great course! Although I am quite familiar with data science and statistical analysis, this course helped me improve my understandings of fundamental principles of why data science is important and how data science works in a very conceptual but comprehensive way.

von carol

•16. März 2016

I finished the course in just one evening. It is really quite and easy course into various aspects of data science. The biggest benefits for me is it provides many inspirations which helps me to decide which areas of Data Science I would like to learn more later.

von Matthew B L T

•12. Feb. 2019

Thoroughly enjoyed working through this course in ONE day as a true "crash" course. Certainly helped get many ideas cemented in my mind about what DS is about and the structure and realities of running DS projects. Great materials, well laid out and structured.

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