Avis et commentaires pour d'étudiants pour Data-driven Decision Making par PwC

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

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.

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.

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

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.

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.

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.

Gives a Top view of the Data driven decision Making. Overall helps in developingg an appreciation and helps one to navigate on creating a Business Analytics Strategy.

I found this course well structured and covered many foundation principles of data analysis. Regular quizzes throughout assisted in retaining the information learned.

The simulation was very interesting, but there is a lot of theory leading up to that which was at times a bit overwhelming. Summary slides / videos would be helpful.

Great Course, thanks for PwC and Coursera. It contained frameworks, helpful background about making decisions based on data, and interesting real-life case studies.

The course was good, but it is difficult to learn about the different tools (R, SAS, Python, etc) without working directly with them. It is a good first approach.

This course provides a great intro to data analytics focusing on frameworks, theory, tools, and their practical applications for real-world business problems.

firstly this course would seem not effective but the moment it reaches to projects then you will feel the importance as it develops approach towards analysis

Just gives a very basic and layman level information about data analytics. Good course for people who are curious to know what data analytics is all about.

This course suit for beginner who wants to explore data analytics world on the surface. It is a good tool to introduce you to data-driven decision making

A more practical assessment should have been there. Although, 100% satisfied witht he content and the curriculum with insights from the veterans at PwC.

A great introduction course which tells you how can you use the data to drive exciting insights and to drive a faster, consistent and right decision.

This topic is really interesting and definitely will help any professional to apply a better decision-making process to daily and strategic duties

Great course but would have been better if it had more practical examples or 1 practical session so that we could relate to the teachings more

The course was really helpful and informative. i also like the feature of knowing my peers and their inputs about the subject .

Thank you PWC.

An insight into pwc way of doing things. The course was worth the time, effort and investment. On top of all, it has pwc to ensure its value.

Although the course is from 2016, I would recommend it if you need to have an introduction into Data Analytics from a real-world perspective

Very useful course, giving an overview of data analytics and various tools. I enjoyed taking this course and look forward to learning more.

Course is designed to introduce the basic concepts of analytics. It is a well designed course and touches on various aspects of analytics.