Apr 20, 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
May 06, 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
Nov 20, 2018
Overall I benefitted the course material as a beginner in python and data analysis. The questions were too trivial but maybe that helped me remain engaged with the course and complete it in a short time frame. There were some bugs, typos and minor quality issues that did not really effect my overall experience.
创建者 Katarina P•
Jun 27, 2019
Many typos in videos, stats explained on a very rudimentary way (and often inaccurate), Watson environment is awful as it takes ages for some simple regression plots to be made, it freezes and the interface is not user-friendly, yet we have to use it.
创建者 Sadanand B•
Feb 07, 2019
Seems like there are quite a few errors in the labs that confuse the heck out of a student. The labs need to be fixed else the material becomes useless.
创建者 Ravindra D•
May 11, 2020
Course content does not give proper understanding of the different approaches. For the person who is not from mathematics background it is confusing.
创建者 Bhuvaneswari V•
Mar 09, 2019
The statistics background needed for the course need to be better explained. or at least reference to related learning materials to be given
创建者 Russell K•
Apr 26, 2020
Too many errors in the lab examples can be rather confusing.
Also, the Seaborn code was not working in IBM Watson Studio
创建者 Mariam H•
May 02, 2020
Great course but some of the concepts are not explained very well. I got lost towards the end but overall i like it.
创建者 Andre L•
Mar 10, 2019
Lot of information, but offered in a very choppy manner. Was hard to follow, will need to review many many times
创建者 Abdulaziz A•
Apr 12, 2020
the course content is excellent but some Technical issues occurred in doing the lab exercises
创建者 stijn d b•
Dec 29, 2018
i was following nicely until week 4 but halfway there it got really difficult. To a point in week 5 when all i could do was copying code and adjusting it. I have no idea what i was doing, i totally lost the bigger picture. I'm sure i could never replicate any of it outside the course or explain what i learned.
创建者 Elvijs M•
Apr 18, 2020
The course makes you aware of some Data Analysis techniques, but you learn very little. The explanations are very superficial. And since nearly all the code is are already there, you are not forced to think about the concepts and methods.
创建者 Peter A•
Oct 16, 2019
Too many mistakes in the lectures and the main lab. Confusing for new learners when the math is wrong or the python syntax is wrong. Anyone who rates this above 3 stars you are simply not paying attention to the myriad of mistakes.
创建者 Ibrahim A•
Apr 27, 2020
This course ranks the least of the wonderful courses I have taken with coursera. There is definitely room for improvement in the delivery of materials.
创建者 Mohammad M A•
Apr 22, 2020
I'll be honest this course for a beginner is difficult and incomprehensible as thereare many new things introduced which are not explained properly
创建者 Benjamin J•
Dec 01, 2018
many mistakes throughout
创建者 Laura M•
Jun 25, 2019
Honestly, I'm not sure why this course has such a high rating. I feel like it can't possibly be a reflection of what actual students felt about the course. Reading the other reviews, it's clear some of the issues people had with the course were not the course-designers fault. But, there were some tissues that are simply inexcusable. For example, typos in the lectures (especially towards the final week) show little to no proofreading was done. A lot of the labs involved "Warnings" that the instructors didn't explain to students (and so obviously some students got confused by them, even though they were inconsequential). And the final peer-graded assignment was a complete mess. The first few questions are numbered Question 1, Question 2, Question 3, etc. But the last 4-5 questions are not numbered making it very annoying to upload screenshots for each question. The directions in the assignment were simply wrong. For example, one of the questions didn't even have a prompt, just an empty text box. Someone asked about it in the "Discussions" and a staff member replied but it was never fixed in the assignment.
Trying to put the typos and logistical confusion aside, the course material was oddly organized and students were never really given an explanation as to why the concepts taught were being taught in this way. My least enjoyed course of the whole specialization.
创建者 Hesam R•
Dec 01, 2019
I'm sure a number of people put loads of time into this, so, thank you!
This must be the absolute worst online course I've ever come across ever! First of all, there are so many typos and mistakes in the course material, which is totally unacceptable! Then, there is no logical continuity in the subjects presented. The course is supposed to be intended for beginners, however, there is no background information or reasoning behind what is presented. Many times, one may only copy and paste python commands without knowing why or what it means at all! Unfortunately, This course is a disaster, and hence, NOT RECOMMENDED AT ALL!
创建者 Trina B•
Apr 03, 2020
Avoid this class. Unfortunately, the labs have been broken for several weeks and there has been no helpful response from anyone other than stating that the labs are being migrated to a new platform. The migration has been woefully unsuccessful and the labs continue to be unavailable or non-responsive. I am very disappointed in this class with several weeks wasted trying get through the course.
创建者 Vincent L•
Sep 17, 2018
Ton of errors, both minor and major, in the videos and the quizzes. For example, saying the a difference between two variables is significant because p > 0.05. I report them all and I've stopped counting.
Not professional at all.
创建者 Mykyta S•
Apr 28, 2020
There was 0 statistics, 0 intuition. This course looks good on paper but teaches very little of substance.
创建者 Sevak G•
Jul 02, 2019
HOW IS THIS COURSE BEFORE DATA VISUALIZATION??????????!!!!!!!!!!!!!!!!!!!!!!!???????????
创建者 Kishore B•
May 18, 2020
I read the book 'An Introduction to statistical analysis using R'. To reach to the concept of ridge regression it took about 3 months (as i can only spend an hours a day study hour) and page number > 200 for me to understand the statistical concepts of ridge regression, cross validation etc. And still I was tentative in R. Now, based on this video course and labs, the learning concepts and python implementation could just be done in 2 weeks time (spending 4 hrs on weekends). A lot of effort has been put in this course to make it sound simple. Thank you authors. Wish you continued motivation to design such courses.
创建者 Mengting Z•
Jun 05, 2019
This course gives me a brief understanding of data analysis based in the use of Python. Since I have already had a foundation of the basic knowledge of coding with other programming language, this course started with introducing several basic packages for data science followed with the use of each package. Also, in week 4 and week 5, the course provided me with the idea of generating statistical models to train our data sets. The thinking method of evaluating a model will help me a lot in my future studies in the field of machine learning and deep learning.
创建者 mohith k•
May 06, 2020
It is an excellent course for beginners in Data Analytics. It teaches you all basic concepts required for data analysis which includes data pre-processing, data wrangling, data formatting, data normalization, data binning, Exploratory data analysis and data modelling. It also teaches you descriptive statistics including, Correlation, ANOVA etc., It also helps you with basic data visualization, Linear regression, prediction, decision making, Model evaluation and refinement using Ridge Regression and Grid Search. I find it very useful for beginners.
创建者 Xiaowei Z•
May 01, 2020
To pass this course is really not easy as it doesn't just teach us how to code to fulfill the data analysis but it delivers a lot of relevant knowledge of statistics as well, including linear regression, polynomial regression, ridge regression, MSE, R2, ANOVA, etc. Coding is not difficult but understanding those methods of analysis is hard. so if you have little basis of statistics, you have to work harder. But I feel more confident after the course because I have gained one more skills. Keep on going and embrace the future.