Congratulation is a great course, a Professional level.\n\nThank you PwC for share the experience of the HUMAN TALENT.\n\nThank to the instructors a really great course.\n\nThank you and God bless you
An excellent course journey for this subject - Data Driven Decison Making, very good content with relevant case assignment and they are paced comfortably to allow me as learner to grasp the knowledge.
創建者 Ross W
•Good introduction to the topic, provides a high level overview of data-analytics and visualisation and their importance in the work place. After this course I'm inspired to dive further into the field and looking forward to PwC's follow up courses in the specialisation.
創建者 Kamran T
•A very good course by Coursera, it briefly discusses nearly all major concepts, current technologies and challenges in big data. The focus is on developing a basic understanding so that the students are able to improve decision-making by deploying appropriate tools.
創建者 Shira B
•Good overview of data analytics and how data can be used for decision-making. The pacing could be a bit better (slow on the front end and packs a lot of information into the last couple of weeks), but overall the information is good and helpful in many contexts.
創建者 Taranjeet s k
•Data and Analytics its really blessing for today fast moving modern world. It help me to how to think in strategic way to find out solution to business problem using tools like python, excel and many more. I would suggest every one to should try this course
創建者 Tanvi J
•It was very basic for the most part, there was also a lot of fluff. The best part was when they went over the major platforms such as SAS, Python, R, and VBA that was something new to me that I didn't know. The framework was also somewhat useful to know.
創建者 Alina D
•I don't find discussion assessment helpful, it's better to recommend more read/video/media sources instead of it. And final project is late to wait. Eventually the course is useful and helped me a lot to structure my thoughts. Thank you in advance!
創建者 Tanya S
•The videos were nice. The final project was really innovative and helped us understand the business scenarios and how to apply our learnings in a very effective way. I am looking forward to detailed study on use of tools to achieve the same.
創建者 Imtiaz A
•Nice learning opportunity for beginners. It is a great platform to understand the basics of Big data analytics. The pedagogy is very simple yet informative. The simulation and case project is a great way to test your learning.
創建者 Khalid A A
•great information , you can understand very well the Data Driven Decision making broadly with a lot of teaching videos , material and quiz.
id like this course exam and final project its very challenge but ideal for learning
創建者 Ravindra
•Course was good, covered wide variety of topics, and gave 10000 feet view of the data driven decision making process. It would have been better if there was a deep dive on one of the aspects of decision analysis framework
創建者 Maks M
•The course gives a good horizontal overview of the field, but maybe lacks some in-depth case study that applies the mentioned methodologies. Overall still is a great course and I would recommend it to anyone interested!
創建者 LeRoux T
•It started with quite a bit of theory but really enjoyed the later assignments and discussions. It really opened my mind as to the possibilities of data analytics especially from a accounting / finance point of view.
創建者 Kushal B
•Course was informative and provide background about Data and Decisions based on Data Analysis. I would liked more detailed information for beginners reading data and interpreting data. However, overall satisfactory.
創建者 Zhuo Z
•it says that I need to be active in helping people in this course,,,,hahaha, if you need me to review your assignment , just leave a message and your link , I'll review your assignment as soon as possible...🤝🍀
創建者 Andrew K
•I enjoyed the course and thought the pace and content was excellent. The only reason I did not give 5 stars was because I thought the case study criteria was not presented before the assignment was given.
創建者 Drasti D
•Good course to learn how to begin with any raw data we receive. To get a rough idea on where to get the data from? how to use them? and what analysis can we use to derive at a particular decision.
創建者 Fernando R P
•Excellent course for beginners or currently professionals in the world of data management. Everything that we do generates data nowadays so I will recommend everyone to take this educative course.
創建者 Eylon K
•Very good course, material is mostly well explained and laid out. Highly recommended!
Some audio and captions mistakes here and there.
Course glossary is not expensive enough and missing some terms
創建者 Manoj S
•Good basic level understanding of analytics. It would have been better to have studied some of the analytical techniques by doing practical problems, to get a better grasp of how exactly does the
創建者 Ahsan M
•It is a good introduction to data analytics techniques and methodologies. However, I think there is over-repetition of basic points which undermines the more subtle, yet significant, points.
創建者 Aija O
•Very-well structured and very interesting course. I did not realise before that social media created data can bring insights and can be a useful source of data for business strategies.
創建者 Xiangyi L
•I like it but don't know if I am dumb or it is too vague from my actual life I don't think I had the deeper understanding of this. However I did know the basic procedure and a picture
創建者 Robert F
•I was hoping for a deeper dive into the framework but it was still a very wothy course. Thank PwC for putting so much effort into the creation of this fantastic learning experience.
創建者 Alvaro E
•Good introduction to the world of data, analytics and big data.
A bit too much PwC pitch.
The chapter were the analysis techniques are explained could do with better examples.
創建者 Pauline P
•Great class, well strucured with relevant content and illustrations. It's a great introduction on how useful data can be for companies and what are the most used tools.