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Learner Reviews & Feedback for Exploratory Data Analysis for Machine Learning by IBM

4.6
stars
1,607 ratings

About the Course

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. By the end of this course you should be able to: Retrieve data from multiple data sources: SQL, NoSQL databases, APIs, Cloud  Describe and use common feature selection and feature engineering techniques Handle categorical and ordinal features, as well as missing values Use a variety of techniques for detecting and dealing with outliers Articulate why feature scaling is important and use a variety of scaling techniques   Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience  with Machine Learning and Artificial Intelligence in a business setting.   What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Calculus, Linear Algebra, Probability, and Statistics....

Top reviews

AE

Sep 26, 2021

Very detailed course of Exploratory Data Analysis for Machine learning. Ready to take the next step in data science or Machine learning, this is great course for taking you to the next level.

ML

Sep 21, 2021

Excellent, very detailed. However, if the lessons can be expand for hypothesis testing and some of their common test like T test, Anova 1 and 2 way, chi square,..it would be better further.

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51 - 75 of 334 Reviews for Exploratory Data Analysis for Machine Learning

By Sarath B S

Nov 26, 2020

This is a real useful course which helps even a rookie to understand the nuances when it comes to Artificial Intelligence, Machine Learning. Interpreting Data etc.,

Subjects were taught well by the experts. I thoroughly enjoyed the learning session.

By Pooranjoy B

Jun 10, 2023

This course is exceptionally the best one if you are complete beginner to Machine Learning. They'll start of from the basics/scratch and take to to intermediate/mastery level. I highly recommend this course if you're complete beginner.

By Orah S

Jan 22, 2021

Very! very!! interesting course, I really enjoy it, I will continue to put more effort into acquiring new skills as much as possible. Thank your IBM and Coursera for giving me this opportunity to learn through this platform.

By Bishmer S

Jan 25, 2021

Thorough, clear video lectures, and good, meaningful exercises. An excellent introduction to the topic of Exploratory Data Analysis and figuring out the general characteristics of any given dataset and its features.

By Chien N

Jun 16, 2021

A solid introduction to data analysis. There is a small note: the instructor uses a new version of pandas. If your notebook produces errors which are not suppose to appear, please update your pandas library.

By Luis P S

Apr 17, 2021

Excelente como primera iniciativa en el mundo de Coursera empezar IBM. Claras las explicaciones de todos los videos. Muy buenos notebooks para el seguimiento de los temas aprendidos. Excelente!

By ASIFIWE E

Sep 27, 2021

Very detailed course of Exploratory Data Analysis for Machine learning. Ready to take the next step in data science or Machine learning, this is great course for taking you to the next level.

By CHAN C P

May 26, 2023

The instructor are great to demo and teach what it is. He sounds professional and the notebook are useful and the example are essential with guiding the questions 1 by 1.

By VARUN B 2

Jun 10, 2021

Very nice course which explains beautifully about data cleaning and the statistical approach and then statistic model and then it ends with the hypothesis testing.

By Chris B (

Aug 2, 2021

This course was really good for me because it went into depth on what I believe is the most important part of ML which is the data analysis and preparation.

By ksenia g

Nov 5, 2022

Good introduction to the workflow in EDA for ML. I appreciate the code examples that provide a useful reference to code syntax and some practice with EDA.

By Amir P

Feb 26, 2023

This course was amazing. I always assumed that EDA was the challenging part of ML, But in this course I found it so cool. can't wait for the next course.

By Tùng N

Nov 4, 2022

Very helpful for beginner but must have some basic knowledge on python and other libraries such as sklearn, spicy, pandas, etc,....

Thanks very much!

By Aman K

Aug 13, 2021

This is by far the best course I've encountered. It has an in-depth explanation of the codes they provide. Smooth and easy to understand language.

By konutek

Dec 7, 2020

The instructor from videos is amazing. Great tutor. So far the courses from IBM Machine Learning Professional Certificate are really, really good.

By Marcel A N

Sep 22, 2023

The course content is very elaborate and fantastic. Thank you so much IBM, this is just what i've been browsing the internet looking for.

By Shanza A

Oct 17, 2022

I have learnt a lot of success artificial intelligence supervised machine learning hypotjesis testing Bayesian testingLtesting eeteetcet

By Aleksandr K

Dec 5, 2020

I really liked, that you need to spend time on the independent work which consists of data preprocessing, EDA, and hypothesis testing.

By Renato C M C

Jan 22, 2023

Look, I'm very happy to do this training, thanks for the opportunity! Keep supporting and making room for us the less favored.

Thanks.

By My B

Mar 31, 2021

This is a well-structured course with easy-to-understand lectures and practical examples that help a lot in real data analysis life.

By Rohit

Jul 8, 2022

Very Clear ,Easy to Understand ,Good Explanation,Very Good Course.I just Upgrade myself doing this course.Thank you IBM Teachers :)

By Pankaj Z

Apr 7, 2021

Very well curated course. Walks through all the topics in detail. Would be better if the professor had a little bit higher voice.

By Suliman A

Apr 13, 2022

Very clear and well structured. You can see that lots of time went into the preparation of the course. Kudos to the lecturer.

By Stephen C

Jun 27, 2021

A great course. You'll want to brush up on your python if you don't have a lot of time to dedicate after starting the course.

By Ali A

May 5, 2021

This course was very helpful.I have learned a lot about feature engineering,expolatoray data analysis and hypothesis testing