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Basic Statistics in Python (Correlations and T-tests)(으)로 돌아가기

Coursera Project Network의 Basic Statistics in Python (Correlations and T-tests) 학습자 리뷰 및 피드백

4.4
별점
17개의 평가
4개의 리뷰

강좌 소개

By the end of this project, you will learn how to use Python for basic statistics (including t-tests and correlations). We will learn all the important steps of analysis, including loading, sorting and cleaning data. In this course, we will use exploratory data analysis to understand our data and plot boxplots to visualize the data. Boxplots also allow us to investigate any outliers in our datasets. We will then learn how to examine relationships between the different data using correlations and scatter plots. Finally, we will compare data using t-tests. Throughout this course we will analyse a dataset on Science and Technology from World Bank. The measures in this dataset are numeric, therefore you will learn how to handle and compare numeric data. This guided project is for anyone with an interest in performing statistical analysis using Python. This could be someone from a social science background with statistics knowledge who wants to advance their analysis, or anyone interested in analysing data....

최상위 리뷰

필터링 기준:

Basic Statistics in Python (Correlations and T-tests)의 4개 리뷰 중 1~4

교육 기관: Nicholas S

2021년 2월 23일

Great job with the project! Organized and well constructed, the challenges were great and the skills learned are DIRECTLY applicable to other projects I'm working on. Thanks! Looking forward to the next project with this instructor

교육 기관: Mauricio C

2021년 3월 30일

After doing the course I realised there is a lot of emphasis on how to use the libraries to generate the different outcomes through out the course. However, the explanation of what to use and where, and the actual meaning of the values, comes a little too short.

A great learning experience, though.

교육 기관: Analyn B

2020년 12월 4일

This is a very helpful tool in research. Thank you very much!

교육 기관: Murad M

2021년 3월 21일

too short