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    Back to Statistics for Data Science with Python

    Learner Reviews & Feedback for Statistics for Data Science with Python by IBM

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    4.5
    stars
    433 ratings

    About the Course

    This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data
    analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing
    data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected
    values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis. You will take a hands-on approach
    to statistical analysis using Python and Jupyter Notebooks – the tools of choice for Data Scientists and Data Analysts. At the ...
    ...

    Top reviews

    MC

    Dec 1, 2021

    Filled StarFilled StarFilled StarFilled StarFilled Star

    Excellent Course! Clear and didactical explanations, objectives exercices and very oriented subjects! For those who are interested in data analytics, this the trainning you should take!

    JL

    Jan 20, 2021

    Filled StarFilled StarFilled StarFilled StarFilled Star

    The final assignment is very well designed, I was able to review the entire course material and consolidate the learning. I have now a good understanding of hypothesis testing.

    Filter by:

    76 - 100 of 102 Reviews for Statistics for Data Science with Python

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    By Usama G

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    Jun 13, 2022

    Good

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    By André J A

    •

    Jul 22, 2021

    ok

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    By Deleted A

    •

    Apr 4, 2022

    Overall this course provided content to familiarize oneself with statistical analysis in python. I'm particuliarly thankful for the step by step labs and excercises available on IBM. In some cases, the course materials don't seem to cover content that is included in the evaluations. In those cases, I suggest to reference outside sources. Also the experiences with IBM Cloud have been frustrating. Partially becuase the environment is at times unavailable when needed. In addtion the environment has been undergoing upgrades and changes, and the course materials are not up to date with the changes in the cloud environment. Ultimately though, dealing with unstable computing environments and reasearching outside sources to successfully complete projects are skills possibly more valuable than knowing how to compute statistics with Python.

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    By George P

    •

    Apr 18, 2022

    This was an absolutely useful course to introduce the student in the topics of normal distribution, calculation of probabilities and hypothesis testing applying Python.

    Visualization and statistic charts are covered as well.

    Examples were given in a meaningful way, nevertheless I would give 5 stars if teachers could focus more on the theory of inferential statistics.

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    By Klemen V

    •

    Apr 23, 2021

    Quick basic statistics with python. Some topics were explained better then others. For example t-test was explained well from statistics point and how to do it in python, meanwhile linear regression was just shown how to do it in python and very quick overview of output data. No background explanation or how to do it by hand.

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    By Jevgeniy I

    •

    Jun 9, 2023

    Assignments in week 7 of the course are completely unbalanced. The main questions are at the beginning , and the source data and the necessary libraries are at the end of course. There is no sequence , which increase in the time spent on the work.

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    By Michel M

    •

    Apr 28, 2022

    It was a decent course.

    It could be more "learning by doing" oriented, there are some concepts like hypothesis testing that could be presented in other way, It'd be helpful if it had some real world examples of that.

    Filled StarFilled StarFilled StarFilled StarStar

    By Andreas R

    •

    Jan 6, 2025

    For beginners it is a bit challenging - needed to get better explanations from youtube Videos in addition to the course videos

    Filled StarFilled StarFilled StarFilled StarStar

    By Renato S

    •

    Jan 29, 2025

    Great course. My only criticism is that the concepts could be explained with a bit more deeper theoretical detail.

    Filled StarFilled StarFilled StarFilled StarStar

    By Akshay K

    •

    Nov 18, 2021

    I loved learning here; it was explained so well and all the modules here are too fun to learn <3

    Filled StarFilled StarFilled StarFilled StarStar

    By Vishnuvardhan G

    •

    Sep 10, 2023

    The course is very very nice. Got great hands-on experience on statistics with this course.

    Filled StarFilled StarFilled StarFilled StarStar

    By Moiez I

    •

    Mar 10, 2023

    The course is super useful, but I'm not a fan of the peer-reviewed portion for the project.

    Filled StarFilled StarFilled StarFilled StarStar

    By Omar A

    •

    Apr 5, 2021

    I highly recommend this course for anyone that is having problems with basic statisitcs.

    Filled StarFilled StarFilled StarFilled StarStar

    By Thomas S

    •

    Mar 2, 2021

    very interesting course, however, IBM Watson Studio was difficult to use

    Filled StarFilled StarFilled StarFilled StarStar

    By Monika K

    •

    Sep 11, 2023

    good content, annoying work with ibm tools

    Filled StarFilled StarFilled StarFilled StarStar

    By KANISHK M (

    •

    May 16, 2023

    Very nice and easy course

    Filled StarFilled StarFilled StarFilled StarStar

    By STEPHEN E

    •

    Aug 31, 2021

    Good introductory course

    Filled StarFilled StarFilled StarStarStar

    By Anastasia S

    •

    Jan 30, 2023

    The assignments are very well prepared but the theoretical part is not clearly explained, I missed the structure, in particular, a more generic intro to every lecture and connection between lectures/slides would make it easier to follow. Also, additional animation to a table or a list of items and using a pointer to make it clear what exactly is explained at the moment would help.

    Filled StarFilled StarFilled StarStarStar

    By Zhang L

    •

    Mar 17, 2025

    This course provides a necessary structure for those new to statistics. However, not all concepts are well explained and illustrated. In some cases, regrettably, the wording is even misleading. There are also mistakes in the graded assignment, which remains unaddressed for over 2 years.

    Filled StarFilled StarFilled StarStarStar

    By Randall H

    •

    Apr 14, 2024

    It gives pretty basic information, so there isn't depth into the topics. Also the examples are the most basic ones.

    Filled StarFilled StarFilled StarStarStar

    By Subham A

    •

    Oct 12, 2022

    Final Exam question on one/two tailed test is bugged. The options are all incorrect

    Filled StarFilled StarFilled StarStarStar

    By Mohamed S Y

    •

    Apr 20, 2023

    Need to explain in details the statistical elements and uses

    Filled StarFilled StarStarStarStar

    By Alex C

    •

    Aug 10, 2024

    Probably the most convoluted, out of touch, amazingly confusing ways of describing ideas and methodologies used in stats I've ever witnessed. It seriously seemed like they had some of their engineers come without being told what for, and asked questions on the spot to answer. Some of it was to the point I have my friend watch parts of videos because I was laughing so hard.

    Filled StarFilled StarStarStarStar

    By Yaseen A

    •

    Dec 4, 2024

    the videos were not enough to clarify the points of Statistical tests and also the contents of videos for modules 4 and above also were not enough for such subject

    Filled StarStarStarStarStar

    By Rajeswar S

    •

    Jun 23, 2022

    very basic one , course looks like preface only. seems only want to tell the topic which are there in statatitics. there is no details provided in this course. not usefull at all.

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