Knowledge Management and Big Data in Business

Provided by:
9/10 stars
based on  53 reviews
Provided by:
Cost FREE , Add a Verified Certificate for $50
Start Date In Session

Course Details

Cost

FREE,
Add a Verified Certificate for $50

Upcoming Schedule

  • In Session

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
23463 reviews

Course Description

The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence. In the knowledge era, the most value added job will be to manage knowledge, which includes how knowledge is created, mined, processed, shared and reused in different trades and industry. At the same time, the amount of data and information (prerequisites of knowledge) is exploding exponentially. By 2020, IDC projects that the size of the digital universe will reach 40 zetabytes from all sources including, websites, weblog, sensors, and social media. Big data will transform how we live, work and even think. These trends and more will have a profound effect on how we see the world and create policies. In this course, the f...

The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence. In the knowledge era, the most value added job will be to manage knowledge, which includes how knowledge is created, mined, processed, shared and reused in different trades and industry. At the same time, the amount of data and information (prerequisites of knowledge) is exploding exponentially. By 2020, IDC projects that the size of the digital universe will reach 40 zetabytes from all sources including, websites, weblog, sensors, and social media. Big data will transform how we live, work and even think. These trends and more will have a profound effect on how we see the world and create policies. In this course, the following topics are covered:

  • What is knowledge management?
  • How is knowledge captured, elicited, organized and created in business?
  • What is big data and how can we use data analytics from a laymen perspective?
  • What is Open Linked Data and how can it support machine reasoning?
  • What defines the era of Science 2.0?
  • How can new knowledge be mined from big data?
  • What are the technical and social problems with big data?
  • What is cloud computing and cloud services?
  • What are examples of applications and case studies?

The course is offered by the Knowledge Management and Innovation Research Center (KMIRC) of the Hong Kong Polytechnic University. Most of our research is company and industry based. Capabilities and competencies of the KMIRC are further strengthened by the international alliances it has formed with leading practitioners, many of which are regarded as members of the "Hall of Fame" in knowledge management, and renowned worldwide. The course is suitable for participants with a background in humanities, management, social science, physical science or engineering. No prior technical background is needed.

Reviews 9/10 stars
53 Reviews for Knowledge Management and Big Data in Business

Ratings details

  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars

Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

Sort By
Hanan Al Mehairi profile image
Hanan Al Mehairi profile image

Hanan Al Mehairi

10/10 starsCompleted
3 years, 10 months ago
I think this course was very helpful to me as I work in the area of Knowledge Management and I am also PhD Candidate at the University of Wollongong in Dubai and my PhD addresses parts of knowledge management especially knowledge sharing. I think that having different instructors for the course what made it really interesting. What is also great that there is a two day follow up workshops in HK for those are interested to carry on with enhancing their understanding which I am think of attending in future. I also liked the fact that we have some live sessions for more interaction. The professors are very cooperative and professional I tried to communicate with them after the course and they were always attentive to my concerns.
Was this review helpful? Yes2
 Flag
Laleh Taheri profile image
Laleh Taheri profile image
8/10 starsCompleted
  • 0 reviews
  • 0 completed
2 years, 1 month ago
I've just completed the course KM and Big Data in Business. With a master degree in Knowledge Management, I had already a good understanding about KM, and the popularity of Big Data made me passionate to extend my study and find the relationship between KM and BD. This course significantly helped me to understand this relation between KM and BD and how I can further my research and carrier towards Big Data. In addition KM and Big Data in Business has drastically enhanced my understanding of KM foundation, tools, techniques and applications. I would like to appreciate all the instructors and the whole team who have supported and provided such a fascinating course, which really enhances the understanding and skills of academics and practitioners in the field of Big Data and KM.
Was this review helpful? Yes0
 Flag
David Cornejo profile image
David Cornejo profile image

David Cornejo

10/10 starsCompleted
2 years, 1 month ago
The course "KM and Big Data in Business" let's me discover a complete description about Knowledge Management and its application to different situations and organizations. The instructors were very competitive and they have a lot of experience in their fields. Finally, the interface was very friendly and intuitive. I do recommend this wonderful course.
Was this review helpful? Yes0
 Flag
Jacky Droushoudt profile image
Jacky Droushoudt profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
2 years, 3 months ago
The course was well designed and gradually introduces some essential concepts. Even without extensive database and knowledge management background the training adds tremendous value and indicates indirectly which fields in data science to study. I particularly appreciate the way the concept of Big Data was described. Many thanks to Prof.Eric Tsui, Prof. Klaus Tochtermann, Prof. Jay Lee, Prof. Usama Fayyad, Prof.W.B. Lee and all the team members of the Knowledge Management and Innovation Research Center of the Hong Kong Polytechnic University.
Was this review helpful? Yes0
 Flag
Paul Smith profile image
Paul Smith profile image

Paul Smith

10/10 starsCompleted
2 years, 4 months ago
If you are looking for an excellent introduction to Knowledge Management and Big Data then take this course. The format and structure is intuitive and also provides real world examples to demonstrate the theory. There are also questions after each section to make sure you have understood the material. The instruction of both Professor Tsui and Professor Fayyad is excellent with great contributions from all who took part. My congratulations to professor Tsui and his team. If you want a good intoductory grounding in these topics then I thoroughly recommend taking this course.
Was this review helpful? Yes0
 Flag
Serbo Dimic profile image
Serbo Dimic profile image

Serbo Dimic

10/10 starsCompleted
2 years, 5 months ago
This course is very well structured. Excellent delivery approach is achieved through combinations of theory and practical examples. The course content is perfectly selected, it extends Knowledge Management principles into Big Data area through IT platforms.
Was this review helpful? Yes0
 Flag
Joe Daniel profile image
Joe Daniel profile image

Joe Daniel

10/10 starsCompleted
2 years, 10 months ago
The Knowledge Management and Big Data course is a very thoughtfully woven course. It was a great experience listening to the insights of industry experts. The examples and interviews added clarity and emphasized the significance of the latest techniques and standards. I am extremely grateful to professor Tsiu and the team for making this course available online; attending the course would not have been otherwise possible for me.
Was this review helpful? Yes0
 Flag
Sonja Prokop profile image
Sonja Prokop profile image

Sonja Prokop

10/10 starsCompleted
2 years, 11 months ago
This course was really practical compared to the theory I had previously learned. The interviews with real-world examples of KM in practice was the best part for me. I have since found I can relate to KM concepts with professionals in this area and plan to pursue KM as my specialisation in my Master of Information Studies.
Was this review helpful? Yes0
 Flag
Jose Benitez Esperon profile image
Jose Benitez Esperon profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
3 years ago
I did enroll in this ISE101x Knowledge Management and Big Data in Business edX course, without being an expert in this field. I did enjoy it a lot and successed it. Thanks to Prof. Eric Tsui for sharing your (and your staff colleagues) knowledge.
Was this review helpful? Yes0
 Flag
David Pellón profile image
David Pellón profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
3 years ago
I have found this course extremely interesting and very well structured. Having worked for years as a specialist it has given me a really interesting overview of all the close and related technologies close to my specialization. Following Prof Eric Tsui and his team has been really a pleasure and i totally recommend it to anyone interested on any of the many matters related with data and knowledge in business.
Was this review helpful? Yes0
 Flag
Sofia Barbosa profile image
Sofia Barbosa profile image

Sofia Barbosa

10/10 starsCompleted
3 years, 2 months ago
I've just finished this course and I've found it really interesting. Although I had some contact with some knowledge management tools in the past, this course gave me a full overview about the interesting posibilities, capabilities and power of knowlege management. Also was a great introduction for me to the Big Data world. Have no doubts and take it. You will enjoy it for sure.
Was this review helpful? Yes0
 Flag
student profile image
student profile image

student

9/10 starsCompleted
3 years, 4 months ago
The modules are well structured and can be followed easily, even by novice of KM. All content is clearly structured and designed to build a solid understanding of the subject. For practical application, this course gives the attendee some useful insight and starting points for self-designed implementation. It certainly raises the desire for more on the subject.
Was this review helpful? Yes0
 Flag
Georges de Wailly profile image
Georges de Wailly profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
3 years, 7 months ago
This training is really excellent. I defended a thesis on KM applied to Quality Management in 2003 and now I am completing a training in Big Data. So, this training is a perfect illustration of the consistency of my initiative. Along that, I had forgotten a little bit some some elements and it was necessary to refresh my skills.
Was this review helpful? Yes1
 Flag
Olena Tsubera profile image
Olena Tsubera profile image

Olena Tsubera

10/10 starsCompleted
3 years, 7 months ago
I really appreciate online course "Knowledge Management and Big Data in Business" developed by Pr. Eric Tsui and his team. Being a student of the University I can tell their educational material has helped me to improve and enhance my knowledge in Big Data and Knowledge Management areas. The structured information of the modules is very convinient for self-studying. Besides, each of them has links of the additional resources. I hope to see more similar courses on edx.org in the future from The Hong Kong Polytechnic University.
Was this review helpful? Yes0
 Flag
Student profile image
Student profile image

Student

10/10 starsCompleted
3 years, 7 months ago
I believe this course provides a good general overview of the state-of-the-art developments in KM and Big Data. The instructor team is really competent and the content is easy to understand, yet deep in subject. Only minus point goes to the live sessions, which are impossible to attend due to poor quality of video and sound.
Was this review helpful? Yes0
 Flag
Student profile image
Student profile image

Student

10/10 starsCompleted
3 years, 7 months ago
This course is a really wonderful initiative that helps a lot to promote the clear understanding of KM and Big Data. Being a free to access course it helps a lot with the diffusion of Knowledge Management in a very professional way. As such all this valuable knowledge transferred to us by Professor Eric Tsui and all the other professors could propagate more easily to a large number of persons interested about the subject. It is not an easy course, it is a very interesting mix of theory and practical cases, of business and IT notions, it requires a lot of concentration, but the personal benefits for any individual attending this course are huge. Thank you a lot Professor Eric Tsui !
Was this review helpful? Yes0
 Flag
Student profile image
Student profile image

Student

10/10 starsCompleted
3 years, 7 months ago
This course does require some small but solid knowledge of DBs, general management and information systems. Not for newbies! So be warned, it requires much more concentraion and work than 5-6 hours per week. But the more you put into it, the more you get out of it! You need a lot of stamina. The lecutrers are also obviously top of their field. Congratulations also to all colleagues that completed the course. Very interesting and very usable course! LOVED IT.
Was this review helpful? Yes0
 Flag
David Calton profile image
David Calton profile image

David Calton

10/10 starsCompleted
3 years, 8 months ago
Thanks for offering this important course on this new emerging field! Greatly enjoyed and learned a lot. Nice course that is not programming intensive and an overview of the field.
Was this review helpful? Yes0
 Flag
Hicham El Filali profile image
Hicham El Filali profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
4 years, 1 month ago
Prof.Eric Tsui, Prof. Klaus Tochtermann, Prof. Jay Lee, Prof. Usama Fayyad, Prof.W.B. Lee and all the team members of the Knowledge Management and Innovation Research Center of the Hong Kong Polytechnic University : I wanted to review on this course earlier, but I had some health concerns last week. I would like to thank you for the great and very professional work that you have put in developing this course, for the quality of your contributions and those of your guests and for your generosity in spreading knowledge worldwide through this MOOC. I want to thank you again for welcoming me warmly at PolyU and especially professor Eric Tsui, Farzad and the team of KMIRC, for giving me further explanation and documents on themes of KM. With your support I was able to convince the director of maintenance and engineering services of my company to the vital interest and utility to launch a knowledge capitalization and management approac... Prof.Eric Tsui, Prof. Klaus Tochtermann, Prof. Jay Lee, Prof. Usama Fayyad, Prof.W.B. Lee and all the team members of the Knowledge Management and Innovation Research Center of the Hong Kong Polytechnic University : I wanted to review on this course earlier, but I had some health concerns last week. I would like to thank you for the great and very professional work that you have put in developing this course, for the quality of your contributions and those of your guests and for your generosity in spreading knowledge worldwide through this MOOC. I want to thank you again for welcoming me warmly at PolyU and especially professor Eric Tsui, Farzad and the team of KMIRC, for giving me further explanation and documents on themes of KM. With your support I was able to convince the director of maintenance and engineering services of my company to the vital interest and utility to launch a knowledge capitalization and management approach, and we’ve just started working on the knowledge audit in this department. I hope you will open another session of this course, so I will come back to share with you and future participants the results of my KM experience within my company. Thank you very much again, and I hope to see you soon. My best greetings from Morocco.
Was this review helpful? Yes2
 Flag
Ch Ernest profile image
Ch Ernest profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
4 years, 1 month ago
The course was so instructive and allowed me to know so many research topics for a PhD research. I really thank all the creators of the course and teachers. This was substantial academic experience
Was this review helpful? Yes1
 Flag
Maria Leung profile image
Maria Leung profile image
8/10 starsCompleted
  • 1 review
  • 1 completed
4 years, 1 month ago
The course is very informative. Its content is easy to understand and supported with many practical examples. In particular, I like the parts on knowledge management, the live sessions and its use of animation for vivid presentation. Prof. Tsui is energetic and passionate in his course delivery. The presentation by Prof. Tochtermann is clear and precise. If anyone want to acquire basic concepts in Knowledge Management, Cloud Computing and Big Data, and how they are related to each other, this is a good choice for you.
Was this review helpful? Yes0
 Flag
Mariely Fernandez profile image
Mariely Fernandez profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
4 years, 1 month ago
I simply got so satisfied with this course that it has opened my mind in a very different way about e-learning, I have had some before, but for sure this one has been extremely good. I thank all the Professor for taking their time to share their knowledge with us, that is one of the most valuable point for me, that all of your actually work in the field and in very important companies, so examples used where very real. Once again thank you so much, Professors Eric Tsui, Usama Fayyad, WB Lee, Jay Lee and Klaus Thochterman. Mariely Fernandez, Dominican Republic
Was this review helpful? Yes0
 Flag
Student profile image
Student profile image

Student

10/10 starsCompleted
4 years, 1 month ago
A very useful course and it gives overall framework of Knowledge management and big data.....this course is updated with latest information and provide knowledge about cloud computing as well. ..all the materials and course videos are easy to understand and learn..
Was this review helpful? Yes0
 Flag
Student profile image
Student profile image

Student

10/10 starsCompleted
4 years, 1 month ago
I enjoy the course. I guess it provides a good approach for Knowledge Management and Big Data. Maybe, a little bit of Computer Science is required. No practice was required. Nice work!
Was this review helpful? Yes0
 Flag
Student profile image
Student profile image

Student

8/10 starsCompleted
4 years, 1 month ago
It provides an introductory level of knowledge on related topics for those without any knowledge on KM, Big data and data mining. Some cases and business applications are shared. I like the live session and I think it provides a good platform to do interactive discussions with professors and students. However, if the professors raise out some debatuable and challenging questions in the live session, it may motivate the students to do more exchange.
Was this review helpful? Yes0
 Flag
 profile image
 profile image

8/10 starsCompleted
  • 1 review
  • 1 completed
4 years, 1 month ago
It provides an introductory level of knowledge on related topics for those without any knowledge on KM, Big data and data mining. Some cases and business applications are shared. I like the live session and I think it provides a good platform to do interactive discussions with professors and students. However, if the professors raise out some debatuable and challenging questions in the live session, it may motivate the students to do more exchange.
Was this review helpful? Yes0
 Flag
Student profile image
Student profile image

Student

8/10 starsCompleted
4 years, 1 month ago
The overall course experience was top notch. The quality of content, delivery, and instructors were some of the best I've experienced in a MOOC and in live courses. I would recommend to other learners interested in this broad range of subject matter.
Was this review helpful? Yes0
 Flag
Student profile image
Student profile image

Student

10/10 starsCompleted
4 years, 1 month ago
Most Big Data-related courses are technical in nature. I needed a highly relatable, non-technical course that would give me the fundamentals, highlight latest developments, realistic challenges in implementation and real live examples. I felt too guilty taking the course for free as I learnt a fair bit, hence I paid my fee in appreciation! For a busy professional, not able to pour in massive homework time, I was grateful it was mere quiz-based and focused more on imparting knowledge without sapping us with assignments. If you do ALL the suggested optional readings, you will surely need more time beyond 4-6 hours a week. I am glad they were downloadable for later reference. Glad I enrolled and finished. There's enough here to apply intelligently back in the working world. Prof Eric and Prof Klaus are especially amazingly dedicated...I loved the course and thank every course lecturer and contributor for this useful MOOC.
Was this review helpful? Yes0
 Flag
Hilal Uddin profile image
Hilal Uddin profile image
8/10 starsCompleted
  • 1 review
  • 1 completed
4 years, 1 month ago
A comprehensive course. It will help a lot in daily professional environment. Specially, The Big Data and Data Analysis topic enhanced my professional knowledge.
Was this review helpful? Yes0
 Flag
Student profile image
Student profile image

Student

10/10 starsCompleted
4 years, 1 month ago
The course gives a solid introduction in the Knowledge Management and Big Data. Actually, it contributed to a bigger picture a lot more than I expected, even though I had already taken other more advanced courses on Big Data. The course workload is uneven with the last module taking more time and effort than previous. Maybe it rearranged better based on the effort required, not just topic.
Was this review helpful? Yes0
 Flag

Rating Details


  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars

Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.