HA
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Great general and broad information on data analytics. Gives good ideas and examples of career paths that can be followed. I especially liked how it ranked the various careers and specializations.
MR
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Thanks much team for detailed info about data analytics and taking a career in it.The highlights of learning at the end of every module before the assessment was much helpful.Thanks once again
By Fonkwe A
•May 11, 2022
Good
By MANAR N m
•Sep 24, 2021
good
By Mattia F
•Feb 2, 2021
Nice
By B_12_ M
•Aug 24, 2024
na
By KHOR H J
•Oct 30, 2021
ok
By Preksha S
•Oct 13, 2020
.
By Matthew K
•May 31, 2021
I believe that my initial submission of my final assignment was graded by a person who had a low level of English proficiency. COURSERA NEEDS TO INSTITUTE LANGUAGE PROFICIENCY Standards for students, whether it's for a course taught in English, Hindi, Japanese, Arabic, or any other language. The students should meet reasonable standards of language proficiency for the language the course is presented in.
I suspect this because I SAW A LOT OF VERY POOR EXAMPLES OF ENGLISH USAGE IN THE FORUMS of THIS COURSE. I also saw this in the final assignments of other students. If I am correct about that, that is unfair to everyone taking the course, as this course is presented ENTIRELY in English. I am GLAD that this course is available to students around the world, but they should have to demonstrate proficiency in the language in which the course is given.
If I were taking a course presented in Hindi (or ANY OTHER LANGUAGE OTHER THAN ENGLISH) and I wasn't proficient in Hindi, then how could I be expected to comprehend and accurately grade the work of a student who writes in higher-level Hindi than I could comprehend? It would be gravely unfair to that student if my poor comprehension of the language resulted in him getting a low grade.
The other possibility is that my original submission was simply graded by a lazy person who didn't want to take the time to read one of my lengthy answers. This is also not fair. Don't do this to your peers. This is serious. It's a graded course.
By kiranjot s M
•Jun 28, 2024
I have some suggestions for this course, but before that let me tell you the content was great so far. 1. Audio: The volume throughout the videos was not consistent, it could have been leveled properly. Some videos were having high background noise and hiss, you can clean the noise over there. 2. Unnecessary videos which can either be there in text form or if you have to present it in the videos only than instead of just reading the slides, a live person explaining them could've made much more sense. I am doing both Google and IBM, this seems to be more practical (relevant), detailed but presentation is poor. Some of the details are outdated.
By Jackie S
•May 26, 2023
I strongly advise anyone using Coursera to ALWAYS double-check your peer-reviewed finals. Both peer-reviewed finals I have completed, on the first round of "peer-review" have been incorrectly graded. The only reason I know this is because I double-checked my grades and peer reviews. BOTH TIMES, the initial "peer-reviewer" has incorrectly graded my final, and the only recourse I could take is to re-submit my final, not knowing if the next :peer-reviewer" would actually grade correctly, according to the rubric. Just saying, double check your final grades, and fight for the grade you know you deserve.
By H.
•Jul 18, 2021
Very general overview for people early on in their career who are looking to gain conceptual knowledge of the field. Has very little actual information on producing visuals. Also there is no way to mark the course as complete if you are auditing, which is not fair. I thought the purchase option was to have a certificate to walk away with, not to hold you hostage after taking the entire course that you can't mark as complete.
By Sebastian R M
•Apr 2, 2024
Para ser un curso introductorio está bien, abarca el grán abanico de temas iniciales para el análisis de datos. Sin embargo, el bombardeo conceptual parece a veces innecesario y los ejemplos prácticos para el tema estadísitico insuficientes. En vez de listas interminables de tipos de elementos de datos, falta más ilustración de esos conceptos en el análisis real y práctico. Incluir laboratorios no estaría de más.
By Marinel L
•Mar 14, 2023
The course provides a lot of knowledge in regards to Data Analytics, but it is very fast paced and sometimes it feels really hard to keep up. My suggestions would be to present to overview first and then go in depth with the topic. Currently they are presenting each topic one by one, without giving a proper overview and it feels confusing, especially because I am not familiar with this field.
By Jill F
•Feb 22, 2023
Useful introduction with overview of the field, valuable perspectives on data analytics as a skill/career. Discusses key terminology and commonly used software, apps, and other analytic tools.
Very passive learning experience. The only activity that requires more than memory recall occurs at the very end. Hope the next courses in this specialization are more inteactive.
By Erin P
•Nov 30, 2020
This is a suitable introductory course, but some of the videos seemed excessively long for the relative depth of information provided. I really liked the viewpoints videos. The quizzes were often poor at testing actually knowledge and instead were more interested in testing memorization or ability to quote/look-up direct phrases from the course material.
By Jarosław K
•Apr 29, 2022
There was a lot of useful information in this course, excatly what I would expect from the introduction. Yet, it wasn't really engaging. I would rather prefer to hear more real, living instructors with some charisma, not a synthethic voice all over. I liked the part where you examine others assignments and they examine yours, though.
By rohit
•Jun 16, 2021
i see in final peer assignments , though the answers are correct for some questions it was graded zero. so i kindly request course era to do a proof check before submitting the graded assignment to the canditate. if this thing goes on in coming courses too, there will be a huge affect on the final grade of the course.
By Pam H
•May 8, 2022
I like the course, it's clear and like the visual audio. I gave 3 stars because you ask someone who is new to this class to review our assignment and this person didn't give me full grade for a question where I got all the answers right.
By Yasir A P
•Apr 23, 2021
You need more people for viewpoints. For me same people are talking about same thing. And You should get a combination on both an instructor is teaching and also instructor is instructing through the presentation.
By Caitlin W
•Jun 2, 2022
I was looking for more practical skills, I found I had to learn a lot of information for the weekly quizess that I forgot almost immediately after learning it becuase it seemed kind of irrelevant/theoretical.
By Viransh Y
•Jun 9, 2024
I wish they had some flashcards to memorize the terms as you were taught them. There is also a lot of fluff that doesn't need to be there. This should take you 3 days working at 2 hours per day.
By Colin O
•Nov 12, 2022
It felt like this part of the course was a lot of definitions, and explanation without any hands on activity that would help me grasp and understand these concepts a lot better.
By Hu W J
•Dec 18, 2021
excellent content but delivery can be improved. assignments should NOT be peer reviewed as some may not understand english and misgrade, which is very unfair
By Kryštof K
•Jul 17, 2023
I would be glad for more "information heavy" and challenging introduction. But perhaps I am somewhat biased my background is in economics with math minor.
By Mehwish Y
•Feb 28, 2023
The course was informational, though the quizes were a bit too basic and answers were available in the transcript. It should have been a bit conceptual.
By Andreas K
•Oct 18, 2021
Some questions too specific on video content, not related to knowledge. Job opportunities as data analyst should be at the beginning of the course.