25 oct. 2018
Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .
24 sept. 2020
the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!
par Charles M•
27 mai 2019
Elegant presentation materials and contains evaluation materials that target essential concepts and learner's ability to apply course information. Very well done and looking to take the biostatistics bootcampe alluded to in the lectures, by the same professor (Caffo).
par Balsher S•
3 févr. 2017
This is a good course to set up for further learning. One gets exposure to topics in intro and intermediate statistic and starts to grasp how intricate the web of statistics it all the while the focus is on Hypothesis testing which is one cornerstones of statistics.
par Craig L•
5 déc. 2016
This is the toughest content yet of the Data Science specialisation but probably the most valuable piece so far. Video content is good but moves along very quickly so finding another book on statistics to back up the course content will be a great benefit.
par Greg A•
22 févr. 2018
Very good course, but definitely a challenge. There is no shame in watching some of these lectures multiple times. I would recommend taking all of these quizzes until you can get 100%. It will help you out a lot in the regression and machine learning
par MARCOS A D S•
2 mai 2022
Excelent for people from other areas (engineering for ex.) to get the initial grip on these valuable tools. The companion book and the interactive swirl exercises are great to complement the pragmatic explanation of Dr. Brian. I sincerely recomend.
par Donald M•
27 nov. 2020
excellent course, although it had a certain degree of difficulty for me for not being a mathematician. I liked him and learned many things that I had only seen little of during my college career. This experience will be of great help in my career.
par Nino P•
24 mai 2019
It's basically introduction to statistics. I have taken them as part of my education so it was a bit easier for me, but I think somebody new to this can lear a lot. It's a bit harder than first 5 courses, but still important and well teached.
par Edén S•
27 juil. 2020
At the beginning I've found a bit hard to store so much information on Statistics, but it is worth making the efforts, since the shown tools equipped a data scientist with strong arguments so as to refuse or accept some conclusions on data.
par Roberto D•
13 déc. 2016
I learned a great deal from this course. Methods, testing and most of all logical processes with proven with evidence. I understand this course only touches the surface, but it will serve me as a catalyst to continue exploring the field.
par Rosa C V•
3 févr. 2020
Muy contenta con el curso. Tenia un poco de temor de que se me haga muy complicado, pero las clases estuvieron bien diseñadas y pude concluir este y otros 4 cursos de la especialización en Data Science con exito :-). Muchas gracias!!
9 juil. 2017
This one is one of the more mathematical course in this specialization, few times to the library and help with friends who are in the field of statistics or biomathematics would be very beneficial.
Dont skip any swirl practices ..
par Regis O•
29 août 2016
This course covers a wide range of powerful statistical concepts. The best way to work through this is to run R code as you go through the examples. If you are not comfortable with R, make sure to take the intro to R course first.
par Julio C R N•
17 mai 2020
Loved it. Some courses have an automated voice. But I was lucky enough to get an iteration with a human. I always wondered the reasoning behind some statistical analysis and this shows you the basics to understand those concepts.
par Tarek L•
13 déc. 2018
Dr Brian DeCaffo is a talented and forward thinking educator. The amount of supplementary material he brings to the course is a bountiful bonus that really helped me grasp concepts. One of the best courses I've taken on Coursera.
par Pablo D C•
9 mai 2020
Such a good course! it is a very dense one, but Brian is a really great teacher and knows who to explain wonderfully. Furthermore, there are many examples and online activities which help you to understand better the concepts!
par jess f•
24 nov. 2020
It is really informative especially for those who are not into statistics. Maybe you can also explain MSE, estimators other than t and z, and also insert some information why we use the corrected sample variance (n/(n-1))s^2.
par Rongbin Y•
17 sept. 2019
The course provided a great overview of the base statistical knowledge required for advanced data analytics. I had gained great experience and exposure to sophisticated hypothesis making and data wrangling skills. Thank you.
par Tine M•
2 mars 2018
The course was at times difficult, I found that extra research was needed to fully understand what was going on. The extra questions related to the homework questions are a great way to test your understanding of the class.
par Matthew C•
2 nov. 2017
One of the better courses so far in the Data Science Specialization. If you have no background in statistics, expect to spend a lot of extra time in this course, especially weeks 3 and 4. Tough, but lots of good material.
par Matt S•
10 févr. 2019
Excellent course if you have some background in math or stats already. This course might be difficult if you don't have that background. The peer graded assignment does a good job tying everything together in my opinion.
par Bill S•
2 oct. 2017
This was challenging and informative. I think the time estimates are way off though. Some things estimated at 2 hours really took 10, and things that are estimated to take hours are one paragraph to read and then over.
par Vinodkumar V•
10 oct. 2017
Rigorous but worth... though it skims the SI topic, at least introduces to the vast dimensions of the subject. It takes time, but one learns. Follow the exercises in the book in addition to swirling. It helps a lot.
par Marc T•
31 mars 2019
Not only did this course help me to understand concepts that I have encountered in my job over the length of my career, but it also introduced me to using R Markdown, which will come in handy for future projects.
par Angela K•
3 déc. 2018
really great course! takes a few minutes to get used to Brian after having all courses taught by Roger. I finally understand hypothesis testing and confidence intervals after taking several classes on this topic.
par Shashikesh M•
17 juil. 2017
This is one of the most important course in data science specialization series, everyone should take this course very attentive way, because it give very deep insight about the role of statistics in data science.