This is your chance to learn all about Data Science for Business innovation and future-proof your career. Match your business experience tech and analytics! The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and managers to foster data-driven innovation. The course explains what Data Science is and why it is so hyped. You will learn: * the value that Data Science can create * the main classes of problems that Data Science can solve * the difference is between descriptive, predictive, and prescriptive analytics * the roles of machine learning and artificial intelligence. From a more technical perspective, the course covers supervised, unsupervised and semi-supervised methods, and explains what can be obtained with classification, clustering, and regression techniques. It discusses the role of NoSQL data models and technologies, and the role and impact of scalable cloud-based computation platforms. All topics are covered with example-based lectures, discussing use cases, success stories, and realistic examples. Following this nano-course, if you wish to further deepen your data science knowledge, you can attend the Data Science for Business Innovation live course https://professionalschool.eitdigital.eu/data-science-for-business-innovation
TR
Great Course, simple in explanation and easy to understand.
RF
The course is good, but sometimes the quizzes are confusing.
FA
The course is perfect, but the Quiz questions are not relatable.
MA
Good course for understanding the general concept of data science
JD
The lessons were valuable for basic understanding of Data Science. However, some of the quiz questions were far more challenging as compared to the information presented.
CM
Great course, great content, the quiz questions are tricky which makes it really interesting
NK
The course offers a comprehensive understanding of data science for driving business innovation, covering data value, problem-solving and analytics. Recommended for Data Science Beginners.
JD
this course is great for introduction for data science
BK
I learnt alot about algorithms, statsistics and data science through this course. Thank you to the professors
TG
There are sometimes language interpretations that make it really hard to pass the quizes.
HS
Informative, well-detailed, organized and excellent.
NW
it is very hard on naive bayes quizzes but after a few trial i could pass this course..
Showing: 20 of 71
I was hoping to receive a deeper teaching about the subjects. I found the course to bee too superficial and trying to teach a little bit of everything. Better less but with higher quality
Well - Course is narrow in content, I have complete Andrew Ng Machine Learning course and opted this one to see business side explanation for Data Science - very much disappointed, Also Quiz grading in incorrect some technical issue + Quiz standard is High compared to content. Overall not happy with my Money & Time investment for this course.
A very well done course that showcases the main technologies applied in different scenarios. It was a good introduction to the world of applied data science.
I've learnt lots of information that would be best fit for me.
5*
Need improvement with moderation. For eg: a lot of questions are wrongly worded. But the overall content is good for introduction to data science.
I was hoping for a lot more business applications of data science, instead this was a very diluted introduction to data science. The quizzes sometimes had the wrong responses which was annoying and frustrating. Poorly executed.
Very misleading title for the course. It doesn't talk about innovation anywhere in the course. The course material is very limited and quality is extremely sub optimal. it shouldn't have been here.
This course was poorly designed and felt like it was "bolted together" by several authors. Some pieces seemed very logical for folks that arent super technical and then the course would switch gears and dive into a stats/math course. The testing was very confusing and answers often couldnt be found in the course materials (never mind the google-translate form of English). This course, as mentioned, appears to be cobbled together by several authors and was quite inconsistent in its delivery approach. I felt like there was a lot of good information here that could have been delivered in a more effective manner. Dissapointing
Garbage. The questions are poorly worded, ALL of the forum posts are stating issues with the tests not working. I'm so thankful I didn't pay the $62 for this cheaply made course. PLEASE do something about this course.
Poor content and full of nonsense tests, i wish i never had enrolled this course and have chosen another one.
The course has a bug 4 quiz, bad course.
Waste
Course Feedback: Data Science for Business Innovation The course offers a comprehensive introduction to the application of data science in business. It effectively combines technical concepts with practical examples, making it accessible to professionals without a technical background. The inclusion of real-world case studies enhances its relevance. To improve, more hands-on exercises and deeper coverage of data science tools (e.g., Python, Tableau) would be beneficial. Additionally, incorporating recent trends could further enrich the content. Overall, this course provides a strong foundation for understanding how data science drives business innovation.
it is greatly helpful to know that data science is used as strategic decision. Many people also use data science, big data, and machine learning as jargon, particularly politician, without knowing the nuance, difficulty, and the nature of them. so this course is enlightening.
This course is really useful as an introduction to Data Science. The structure and delivery of the learning materials is well designed. However, the course title i a bit misleading because the course barely covers business innovation.
The course offers a comprehensive understanding of data science for driving business innovation, covering data value, problem-solving and analytics. Recommended for Data Science Beginners.
With a simple example the tutor explains the concept. To know what is what about Data Science elements can take this course. Interesting
Data Science is the future and this course has given a fundamental principles of this technology.
Great course, great content, the quiz questions are tricky which makes it really interesting