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.
автор: nicola h•
Very proud of myself for passing this with a high score - I am not a natural number cruncher and this was not easy.
автор: Edward D•
This course was a great intro to data analysis. I was able to learn about all the different tools that data analysts use for analytics.
автор: ARVIND D•
This course is really very helpful for all who aspire to join corporates and want to play a crucial role in a decision-making process.
Very easy to learn and accomodating. I appreciate that they don't require good English skills during the final requirement. Thank you!
автор: Ayomide A•
It really is great course for understanding how data is being (or can be) used in making better and more informed business decisions.
автор: Sanjit M•
Very insightful; content is up to date and has successfully equipped me with absolutely necessary data analytics knowledge and skills.
автор: Daniyal A W•
This course is awesome especially for Business and Finance students or professionals. PWC had covered almost each point very clearly.
автор: Veronica T•
I learned how data analytics drives business decision making, and I believe this will give me a further impact in my career building.
автор: Manish K•
Very well designed reading content and quiz.
Special part was simulation.
Thanks for everyone involved in preparing the course content.
автор: Siddharth A•
The coursework of this particular course acts as a door to the new data oriented world which is fraught with lucrative opportunities.
автор: Manuel G•
this course brings a excellent overview of what data are changin organization and how to planning data analysis to improve bussiness
автор: Julio A•
Really good course to learn the basics on data and analytics as well as the principles of most used techniques. Truly recommend it!
автор: Sergio S B•
Great course to gain insight into the data analytics world and how PwC approaches this type of projects. I completely recommend it!
автор: Hemant K V•
Thanks to Coursera for providing this module on their site. A deep learning what is happening in Analytics era now a days. thanks
автор: Greta N•
High Level Introduction to Data Analysis techniques and vizualization possibilities. Very useful and practice-related information.
автор: Rajat G•
The course provided a good introduction to the various analytical techniques as well as the tools associated with these techniques
автор: Eram T•
I was so excited to come to know the role of data into todays business. I promise to put what I have learnt into real application
автор: Umut T•
Very useful. Gives the whole picture of Data & Analytics. Frameworks, tools, methodologies... If you want to have a holistic idea
автор: Alexander P•
This is a solid introductory course which provides a good framework to structure your approach to solving complex data problems.
автор: Lazizjon M•
Really Comprehensive program! Thanks a lot for PWC that I developed crucial competence from Data-driven Decision Making course
автор: Monica V T•
Simple and structured introduction to the importance of data, and the tools organisation should use when dealing with big data.
автор: Wael S E•
thanks for PwC team for excellent presentation and knowledge been communicated to me in this course.
really it was piece of ART
автор: Sarah, A A•
A high-level overview of data analytics that discusses the importance of implementing data driven decision-making in business.
автор: Adeyinka A•
I'll say this a good start for anyone venturing into the field of data analysis. Well done! PwC team for putting this togther.
автор: Stephanie T•
This class was very informative and interactive. I appreciated the pace of the class for someone who is new to data analytics.