Data Analysis with Python

great course to get an understanding of python for data science More explanations would be great.

This course is much better than " python for data science", much more clear and detail.

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.

Very nice lessons for beginners to use python for data science.

should have more thorough examples Challenging, but very rewarding course with code that will help you with all your data science endeavors down the road.

Great experience I am working through the IBM Data Science Certificate courses (in order) and this is easily the best one I have taken so far.

It is a great gateway course into the world of data science.

It is mainly focussed on theoritical concepts of data science which have wide range of applications .

Overall good GOOD Good Course ,learn mant things about Data science in details The statistics background needed for the course need to be better explained.

Super nice overview of applied data science techniques and Python tools!

This is an excellent course for beginners in the data analysis and data science fields as it explains deep technical concepts in layman terms along with the Python code for the same.

Though found the ending modules a bit challenging, its a great course This course is very beneficial those who want to build carrier in data science.

Thank you so much for creating this is great learning and useful course that I got for Data Analytics.This course is very beneficial for all to enhance the knowledge about data analysis with Python.Thank you sir.

This course was more difficult than the others, and so i guess this is why employers prefer potential employees hold a PhD, or at least maintain a high algebraic/calculus/statistical aptitude Amazing course to start data analysis with python.

A well and vast explanation and review on Statistical Data Analysis with Python.

Really this course shows the full path to master the Data Analysis with Python.

Great experience The Data Analysis with Python gives you every introduction to become comfortable with Python as a Data Scientist The most useful course on studying statistics in short time Very good Course although more hands-on needed Amazing :) There are lots of mistakes throughout the courses Great course for introductory data analysis with Python.

A must take course very handy at giving the foundation of data analysis with python and what a nice introduction to linear regression with the library sklearn.

Good Start for Data Analysis with Python best course ever This course is probably the most concise and well explained course I have ever taken on the subject.

Very clear and effective course to get the basic principles of performing Data Analysis with Python.

Great Course........excellent introduction to data analysis with python.

Awesome learning Data Analysis with Python.

This is a tough class, yet it provides me with lots of technical skills regarding data analysis with Python I have learned a lot if things regarding data analysis .thanks to the teachers for helping me to understand how to analysis the data in different ways.thank you why is sharing of the notebook worth 3 points?

Excellent course that provides a great skills-focused overview on how to do data analysis with Python.

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.

This was pretty good, I think maybe the best in the IBM machine learning certificate.

First go for module 8 - Machine Learning and come to this.

Through out the course i have learned alot like data visualisation mainly.I think i have completed successfully basics for machine learning.

My experience for this course on data analysis was really enriching where I learned various machine learning techniques and applied to real practical datasets.

It covers most important aspects of data preprocessing in machine learning using python libraries.

or at least reference to related learning materials to be given Complete coverage for all important topics with examples very nice nice This is good for somebody who has just started machine learning and wants some hands on experience in very few time.

Yes, you do have labs but there you are forced to write code in way so that you don't encounter problems later in the notebook.In a project or an assignment work, you have to play with variables and confusions and errors out of wonderland show up which lead to greater clarification.The course in itself is great and undoubtedly good in functioning as a prerequisite for Machine Learning and surely I'd recommend it to anyone who asks for an opinion.

Really helpful introduction to machine learning and predictive models!

greatcourse aerg This course is very good start for students who are planning to go into machine learning specifically.Students who have no Idea about regression and math find bit hard but little more effort from student side is needed.

At the end you will have a zeroth tool for machine learning.

Great :D The courses from IBM on Data Analysis, Visualization, Machine Learning are great.

Its a great introduction a clear explanation about Machine Learning, generation of linear regression models and all the things to do before to the analysis front the data.

This course will show you how to use various python packages to perform different kinds of regression (simple linear regression, multivariate regression, polynomial regression).

Excellent, Learning Linear Regression with an excellent approach.

Linear Regressions are needed some more clarity Very useful!Basic analysis course!

hard but good Very useful analytical techniques were learned such as cleaning the data, multiple linear regression, and working with test and training data.

This also helps me to know how to create multiple, poly, and linear regression model The course structure and videos are nice, but THERE ARE SO MANY ERRORS in the videos.

I believe I need more practice in these items (Linear Regression, Polynomials, Ridge, Fit, Predict, etc.)

This is the good course for beginners.

It is a good course for beginners, topics are explained enough The course was good and the environment provided for executing the code was very good.

The amount of information was a lot, and I'm thankful for the notebooks I have now with steps on doing things, but the material could've been presented in a more cohesive way, this was hard to follow.

Final assignment is quite messy Extremely interesting BUT it gets long and hard to follow.

In the end linear regression, and ridge regression is also introduced.

Linear Regression, ridge regression, etc are too advanced for new joiners who struggle with basic python.

The lesson need more explanations on Polynomial Regression, Pipeline, Ridge Regression.

For example, including theory about ridge regression, instead of just mentioning how to implement it in Python.

This course is very use for regression model end to end scratch of evaluation and easily understand the coding theory explanation but ridge regression is somewhat improvement is needed.Finally, I suggested to this course for learning data analysis with python.Thanks for wonder full opportunity to learn this course in course-era team... A good course which gives exposure to various data analysis practice through python.

It gives you what you need The questions for the final project have some glitches (Question 3 does not accept a picture).

Great course, I loved the final project because it really puts what you've learned to test.

Week 6 is the Final ProjectWeek 7 is one statement about your certificate.

Usually in most courses, the final project will be in end of the final week.

Just as well, the Final Project was botched, the software and questions were depreciated and even written wrong by the creator.

Great but it has lots of information and require simple statical background Very good lectures, but the final project takes way longer to set up than to complete: finding the link to the final assignment and making it work in Watson took me too much time.

So many problems with the lessons and the final project.

The explanations were rushed at times and quite a bit was not easy to follow.

use of names was a bit confusing at times compared to final assignment, but otherwise very helpful and enjoyable Grate course.

Sometimes it is too fast and the explanations are very short.

As compared to other courses this course seems to be too fast Excellent course Great course to deep dive into the data analysis using python.

Maybe a bit too fast for those who are not familiar with various kinds of regressions...Other parts are great!

But some code of Lab Nothbook might not give desired output and need modification, and material about Watson Studio might need upgraded.

Regplot does not execute in the Watson Studio despite proper coding.