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学生对 IBM 提供的 Statistics for Data Science with Python 的评价和反馈

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453 个评分

课程概述

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....

热门审阅

ED

Nov 19, 2020

Excellent course to help clear doubts for the level of statistics needed for data science. It a great experience. well done IBM!

OA

Apr 4, 2021

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

筛选依据：

51 - Statistics for Data Science with Python 的 75 个评论（共 106 个）

创建者 Ekaterina K

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Mar 17, 2023

Course is great!

I only wish we had more practical exercises.

创建者 BENDIB H

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Dec 15, 2021

Very interesting course as it included very powerfull tools.

创建者 Sunny .

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Mar 31, 2021

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

创建者 MohamadReza H

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Jan 20, 2024

this course is completely useful for statistic and python

创建者 Christan J G

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Oct 20, 2023

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

创建者 佐藤淳一

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Jan 29, 2021

It easy to understand. Not too difficult. Not too easy.

创建者 Kajal L

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May 18, 2023

It was very informational and interesting, Thank you!!

创建者 vijay k A

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Jun 23, 2021

the course is more useful and cover basic concepts

创建者 Shanuka D

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May 29, 2024

One of the best courses I've enrolled In so far

创建者 JUAN R P G

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Jun 19, 2023

Just Great!

Excellent course. I learned a lot.

创建者 Mohammad_Anas

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Apr 18, 2023

Amazing course in the journey of data science

创建者 Олена Щ

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Apr 20, 2023

Interesting course with real project

创建者 Ankit G

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Apr 15, 2022

Well Explained with guided project.

创建者 Akhas R

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Mar 20, 2021

Extraordinary. Very interesting.

创建者 Ume K

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Oct 29, 2022

very informative and helpful

创建者 Md. A I

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Mar 15, 2022

AMAZING EXPERIENCES WITH IBM

创建者 JiSeub L

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Feb 27, 2024

easy to understand.

创建者 ALEXANDRE R P

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Mar 17, 2022

Outstanding course!

创建者 Irshad A k

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Sep 28, 2023

Very useful course

创建者 Htet A L T

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Jul 15, 2021

Thank You IBM

创建者 Ekofiongo E

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Aug 25, 2023

Super cours

创建者 Samuel I R J

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Mar 17, 2024

TODO BIEN

创建者 Raúl O M

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Mar 11, 2024

excelente

创建者 Александр Ф

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Nov 1, 2023

all good

创建者 Miguel A T J

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Dec 21, 2024

Great!