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.
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.
por HIMANSHU S•
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.
por Usman A•
AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.
por Cecil K•
The courses from IBM on Data Analysis, Visualization, Machine Learning are great. I am in an online M.S. program, and the material from IBM is lightyears ahead of my university material.
por Opetunde A•
I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course
por Prakash C•
Great course. I had fun having a kick start in the field of data in machine learning. I understood the concepts related to how to improve the model.
por Siddhartha S•
Great Course. Amazing Work By the team. Concepts explained clearly, followed by the week end quiz to revise. The Labs Do a great work in helping out
por Aldy P S•
helps me a lot! FYI I was new to data science and programming language but this course helps me to understand business analysis with Python!
por Ted H•
Covers a lot of ground but the Python Labs are great at bringing everything together.
por Paulo B S•
A very complete course of Data Analysis.
por Mahmood H•
Tough but useful.
por Vincent Z•
The course content is definitely interesting, but the approach is superficial. You will get a broad overview of the keyword to search for, and what is available in popular Python packages. However, the quizzes are way, way too easy. The course needs a final "open" assignment, where you have to use the tools without being guided along the way. This is the only way to truly learn.
por Mahvash N•
Course was great but it had number of errors and typos, that per my experience and other attendees caused some confusion.
I am sharing so it could be improved as it is a dream come true for myself to gain this valuable knowledge as conveniently as possible.
por Natalia Z•
A very comfortably created course - no stress at all. However all that you can get is become familiar with the data analysis tools. May be that's the point.
I think few more practical exercises or at least references of the same would help better understand the overall fundamentals.
por Rebecca V•
Material covered is useful, but there are a lot of typos and mistakes in the lecture slides and labs.
por Rene P•
There could be links to functiones libraries in the lab for a fast check of a function if needed.
por Ugur S O•
I think the quizzes can be in the format of programming required questions.
por Charles C•
Some mistakes/ typos in the exercises and slides, but great overall
por Yogish T G•
An assignment should have been included
por Miguel E M•
There where some typos in the labs that could confuse most learners. I didn't feel like the course prepared people for real applications. The final project was quite hard because of this .
But it does give you a wide vision on hoy pandas work and some basic but apparently often used tools.
I see this course as a complement to a more detailed data analysis resource or perhaps as simply as an introductory view.
por Jaime V•
in this course there were some errors on the slides, and some quite complicated topics (almost every time related to statistics) was given in a very over-viewed way. Also, some of the python codes were not explained very well, with some terms of them seem to be kind of arbitrary for those who are beginners in the language. My impression is that this course should be longer and more detailed.
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.
por Katarina P•
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.
por Sadanand B•
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.
por Ravindra D•
Course content does not give proper understanding of the different approaches. For the person who is not from mathematics background it is confusing.