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This is a great course in data and analytics for the every day professional. It gives great insight into how data and analytics can support decision making. The mode of delivery of the course is e
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Great course for anyone who wants to learn the frameworks for problem solving with data, and for those who want to learn about the use cases of tools like Python, R, SAS, and many other tools
By James D S
•Jan 23, 2018
Most of the useful content is during the last week of the course, when you work on a project. However, concepts such as creating a hypothesis/es are not fully introduced and may be confusing for those who do not already have some training in scientific method or statistical method (e.g., knowing what a null hypothesis is). The simulation was also not useful, and contains a lot of jargon. Most of the content in the first part of the course is blue sky jargon discourse about Big Data, and can probably be skipped.
By Aniket P
•Jul 28, 2018
This course cover the concepts and aspects of analysis very well.However,regarding the final week assignment I feel that,it can be an overwhelming challenge for those who do not have any business related background.I am an Engineering graduate and hence couldn't understand some of concepts related to making business decisions,as they were not taught in the course.Other than that the overall Data Analytics industry and careers exposure were pretty well explained and informed.
By Pavel C
•Aug 19, 2019
I personally found this course a good start for those new into the data-driven world, although there are three potential points for development
a) as most of the IT-related stuff it is getting outdated very quickly so this should be taken into consideration when talking about tools and systems
b) not enough information on data visualization principles which are VERY important (more than data themselves)
c) I'd also link this course to other courses e.g. on machine learning
By Mike Y W
•Nov 12, 2018
This is a fairly high-level look into data and analytics, and mainly approaches this topic from a business angle albeit it would have been nice to go a little more into the analytic side of things before getting into the deep end in the second course in this specialization. The quizzes were overly easy, and the simulation final was really cool. The final peer assessment wasn't challenging enough relative to my expectations.
By Boris E
•Jun 14, 2020
It is well structured, it comes from practice and there are very competent speakers.
But there is a lot of self-marketing for PWC sometimes it feels more like an PWC ad, but teaching you something. And it's too superficial. I miss i.a. explanations and samples of the types of analysis (regression, factor, mutivariant, ...) and I miss more detailled explanations and show cases from the tools like QlikView, Tableau, ...
By ainara d
•Feb 20, 2018
Very general overview, not really teaching specific techniques or approaches. It gives names of analyis tools and methods, so you know what to google, - i find that useful. However, it's mostly general and rather superficial information about how important is data and that companies should collect and analyze data, visualize results and take decisions based on the analysis.
By Anuj M
•Nov 30, 2016
A good foundation course. I believe the information regarding tools and techniques could've been presented in a better manner by working on live files and displaying it. It was monotonous. Apart from the rest, the final course case studies were brilliant and helped us to collaborate our understanding of the course.
By Aarsh S
•May 17, 2020
The course gives deep insights into the importance of Data and Data analytics in the world of Business decisions and strategy. However, the course is extremely theoretical and doesn't involve a lot of practical exposure. At times, it just seems as a PR exercise by PWC.
By Shannon G
•May 11, 2020
Interesting overview of PWC's methodology of data-driven decision making. I found the descriptions of the processes and the tools utilized to be very superficial. I also found the guidance and grading rubric for the final 'peer-reviewed' project to be weak and unclear.
By christina m
•Mar 30, 2020
The last 2 weeks of the course were great. I really enjoyed the simulation and the project. It would have been great to have had some more practical work earlier in the course as the first 2 weeks read somewhat like an advertisement for PWC data consultancy.
By Aswin G
•Apr 22, 2020
I enjoyed this introductionary course to data and analytics. Thanks for the provided knowledge and materials PWC. Personally I found the level of difficulty too easy for an academic. I would also prefer less promotion about PWC in many of the video's.
By Guy G
•Jan 9, 2017
Overall, this is a good course. It provides many handy tools, frameworks, techniques for data-driven decision making process. It does improve my decision making skill. However, the course is quite short and doesn't have much in-depth content.
By Jason W
•Oct 14, 2017
I know it is an introductory course, but there was not much that I feel like i learned from this course other than a bunch of vocabulary words. I hope that there is more technical instruction in the following courses in this sequence.
By Alexander B
•Nov 24, 2021
The material was alright, and the instruction was eaay to digest. The final assignment was underdocumented wuch that the standards of the submission were very unclear, and the expectations on the rubric came out of left field.
By Magnus E
•Apr 2, 2019
Good stuff in general, but from my personal point of view: a little bit too much of general info around what data is and can be used for (I know much of it already). I think, however, that the course is great for beginners.
By Nachum S
•Apr 4, 2019
Is too much of an overview. I'd like if they could make the course much bigger and actually practice what was learned more and go more in depth. I'm gonna forget the information in a month for sure.
By Jordan S
•Dec 17, 2017
Some interesting information in this course. Good overview of data and decision making. I like the breakdown of the data-decision making model.
The Course is a bit too promotional of PWC.
By Poonam A
•Jul 13, 2017
The course talks about topics on a very abstract level and I expected it be comprehensive and detailed. As far as the delivery is concerned, I found it pretty nice and captivating.
By Heather N
•May 19, 2020
Very high level. Lots of helpful information for those new to the data analytics space. I had hoped it would dive into more hands on learning of what to do once you have the data.
By Lerrick F
•Jul 4, 2019
I wish they would not sell pwc so much in their presentations. It is too distracting.
Also you don't get certificates. The assignments aren't reviewed on time so beware.
By Billy-Joe W
•Aug 14, 2022
I would call this more of a webinar, but a good overview of data analyst, and the core skills needed, I believe there should be more guide lines for the final project.
By Federico P
•Oct 27, 2016
I was expecting a lot more detail on ***how*** to perform data driven decision making. What I found is just a lot of buzzwords and very shallow overviews.
By Poonam S
•Mar 4, 2018
Good crash course. I really liked the framework and overview of types of analysis. I didn't like the shared case study qualities as such.
By nn t
•Jan 27, 2020
An informative course with a high level perspective and real life examples, suitable for beginners and senior executives.
By Anshuman D
•Oct 12, 2016
The course is good for elementary understanding, th exercises were fun too. However, the tools could have been described