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

4.5
stars
364 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 end of the course, you will complete a project to apply various concepts in the course to a Data Science problem involving a real-life inspired scenario and demonstrate an understanding of the foundational statistical thinking and reasoning. The focus is on developing a clear understanding of the different approaches for different data types, developing an intuitive understanding, making appropriate assessments of the proposed methods, using Python to analyze our data, and interpreting the output accurately. This course is suitable for a variety of professionals and students intending to start their journey in data and statistics-driven roles such as Data Scientists, Data Analysts, Business Analysts, Statisticians, and Researchers. It does not require any computer science or statistics background. We strongly recommend taking the Python for Data Science course before starting this course to get familiar with the Python programming language, Jupyter notebooks, and libraries. An optional refresher on Python is also provided. After completing this course, a learner will be able to: ✔Calculate and apply measures of central tendency and measures of dispersion to grouped and ungrouped data. ✔Summarize, present, and visualize data in a way that is clear, concise, and provides a practical insight for non-statisticians needing the results. ✔Identify appropriate hypothesis tests to use for common data sets. ✔Conduct hypothesis tests, correlation tests, and regression analysis. ✔Demonstrate proficiency in statistical analysis using Python and Jupyter Notebooks....

Top reviews

JL

Jan 19, 2021

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.

HD

Jan 13, 2021

A well structured course, simple and direct to the point, with a little of exercising you'll come out with a huge understanding of the statistical concepts.

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26 - 50 of 91 Reviews for Statistics for Data Science with Python

By Himanshu D

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Apr 2, 2022

Its a good cource. I learned about the basics of satistics and how to apply it in python and data that we have. I walked through many cources but in Courcera, this is the best basic cource for the DataScience enthusiast.

By marcelo c

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Dec 1, 2021

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!

By Joao L

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Jan 20, 2021

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.

By Hichem D

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Jan 14, 2021

A well structured course, simple and direct to the point, with a little of exercising you'll come out with a huge understanding of the statistical concepts.

By Yodefia R

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Jul 27, 2021

Great introduction to basic statistics for data science. Python specialization suits those with no experience in the language.

By Ajay K S

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May 3, 2022

It is few of the Data Science courses in my learning series. This is one of the Best in Series. Thanks to the team.

By Piotr K

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May 30, 2022

Good albeit very general presentation of useful libraries and Python programming language for Data Science.

By S. H M

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Dec 2, 2022

It is an amazing and useful course about the basics of statistics in data science. I learn many things.

By Erwin P

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Jan 29, 2023

Awesome course. A great refresh of my Statistical Analysis. Well done to all the Instructors. Thanks.

By Muhammad F H

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Sep 2, 2021

A worth-to-try course if you are curious about implementing some statistical tests in Python.

By k b

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Feb 7, 2021

Excellent course with a step by step explanation and complete final assignment.

By Kalyani A

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Jun 10, 2022

A very good course to clear the basics pf stat of statistics for data science

By Asif Y

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Jan 13, 2021

One of the best course I have taken online. Way of teaching was outstanding.

By Frederico S

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Jun 2, 2022

Great Course, with excellent notebooks for study and evaluation!!!!

By Khusan T

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Mar 30, 2021

Understandable and easy to grasp the basics of statistical analysis

By Kashif R

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Apr 11, 2023

Thank you very much Sir Murtaza Haider and Miss. Aije Egwaikhide

By Sanket S

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Apr 2, 2023

I wish there could be more content on one tailed hypothesis test

By Yakub A

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Oct 10, 2022

Excellent course for introduction to statistics in data science.

By Vaseekaran V

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May 13, 2021

A good introduction to those who want a brief taste of statistics

By Agung P

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Oct 20, 2022

Amazing to follow and I had a great skills from this course.

By Ekaterina K

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Mar 17, 2023

Course is great!

I only wish we had more practical exercises.

By BENDIB H

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Dec 15, 2021

Very interesting course as it included very powerfull tools.

By Sunny .

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Apr 1, 2021

Excellent Course...Would be great if add few more examples

By MohamadReza H

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Jan 20, 2024

this course is completely useful for statistic and python

By Christan J G

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Oct 20, 2023

I learned a lot in this course specially in Lab activity.