19 de abr de 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.
5 de mai de 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.
por Bharat M•
16 de jul de 2020
Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should.
A good starter course to wet your feet in DA!
7 de abr de 2020
Very clear and easy to learn. The lab helps a lot, it gives me an intuitive instruction of the class. But some of the points seem too shallow, hope the course could provide some deep knowledge.
por Mark W•
12 de nov de 2021
Good Course. Very good overview of Python libs -Pandas, Numpy, Matplotlib, Scipy, Scikitlearn and Seaborn. I really enjoyed learning about them and seeing the usage. Highly recommended course.
por Nikhil D•
31 de jul de 2021
Totally overwhelmed with the course contents and easyness in teaching. The course will make you familiarize the fundamentals in a way that you will never forget when you used in a real world.
por rahi j•
17 de out de 2018
It will be helpful if a video is added on:
1) how to store multiple results from different models in single dataframe
2) how to automate the process. More example needed on Grid and Pipeline.
por Rodrigo D•
24 de fev de 2019
Great course, you can understand in a general way the use os Python to analyse raw data and organice it to create a better model. However I couldn't use in a proper way the external tool.
por Mason C•
28 de abr de 2020
Theory and examples are good. Suggest having full and complete Python course code with more examples of each coding. So we can get more ideas and understanding of the Python environment.
por NAPA S M•
7 de mai de 2019
Questions while listening to lessons in some of the lectures are coming before theory explained by the teacher .Better if question is at least 10 seconds after related theory explained.
por Cristian A M L•
17 de fev de 2020
Los temas tratados son muy útiles y se desarrollan de gran manera. El herramienta de LAB es la más completa del curso. Considero que se puede aumentar la rigurosidad de la evaluación
por Daniel A•
31 de mai de 2019
This was pretty good, I think maybe the best in the IBM machine learning certificate. I took Andrew Ng's course prior to this, so to watch python sklearn in action was a real treat.
por SHALINI G•
1 de out de 2018
It is a good course for beginners but I feel that the quizzes could have been a bit more challenging. And if the codes were executed in the Python domain , it would have been nice.
por Charles R•
9 de jan de 2021
Everything felt just a little too easy. I have minimal Python skills and nearly failed college statistics, but I never had any trouble here. The exercise notebooks were fantastic!
por mitul p•
9 de nov de 2019
Very interactive and informative content.Covered all the data analysis related concept. I would suggest that spare some more time on Regression techniques to details information.
por Amanda S•
3 de ago de 2020
I thought this course was very informative, but there were some typos and I thought some of the concepts were introduced too quickly without links to previous or upcoming ideas.
por Ravi K•
8 de dez de 2018
Good content through out the learning, the lab notebooks are great resource to do the Hands on by ourselves. Includes each corner of the analysis methods. Good foundation course
por Rakshith R•
28 de jun de 2020
This is a very useful and very appropriate to those who want to pursue their career in Data Science.
Me as an data science enthusiast liked the course, and would also recommend.
por Sam T•
10 de jun de 2019
Course provides a good intro and the visuals are great. It doesn't however go deep into each topic and doesn't provide enough examples to explain concepts for different cases.
por RAM K B•
5 de jun de 2020
There were some statistical concepts in Week 4 and Week 5 which were difficult to grasp for a beginner like me.
More in depth explanations were required which were missing.
por Lim Y T•
23 de abr de 2020
Great course. especially on the final assignment and as a new learner without any basic knowledge on python skill. it took me quite a while and challenge to get it complete.
por Aaron Z•
12 de jun de 2020
Would be a bit hard for someone who hasn't got a background with math and statistics knowledge. Not very much explanation. Also, not much interpreting for the methods used.
por Mark H•
10 de fev de 2019
Pretty dry material. Hard topic to teach since the process really comes from experience. Could stand to focus a bit more on ways to explore and clean data. Not bad though.
por Setiadi S•
21 de jul de 2020
The lab is good for learning, the quiz i think should be add more questions, too small, overall is ok for the beginner for learning the data analysis with Python, thanks.
por Or R•
4 de ago de 2020
Good introduction to the things one can do with Python and Pandas, but overall fairly basic and does not require the students to actually program something of their own.
por Andrew B•
25 de jan de 2019
Good for a first course in data analysis however this course covers the subject on a very superficial level. There are a few errors in the assignment's solution guide.
por Rahul S•
10 de abr de 2019
Good but in the end of the course specially week 4 and week 5, speed of information providing in videos get to very high speed comparative to other weeks information.