Basic Statistics in Python (Correlations and T-tests)

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Coursera Project Network
このガイド付きプロジェクトでは、次のことを行います。

Clean data, including removing missing data and unnecessary columns

Explore data using descriptive statistics

Create visualizations of our data and analysis

Perform statistical tests, including t-tests and correlation

Clock1 hour 10 mins
Beginner初級
Cloudダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

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.

あなたが開発するスキル

  • Statistical Analysis
  • Data Cleansing
  • Summary Statistics
  • Pandas
  • Data Visualization (DataViz)

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  1. Set up a new Google Colab notebook

  2. Load data into notebook

  3. Clean data to remove missing data and unnecessary columns

  4. Perform exploratory data analysis

  5. Create boxplots using for loops

  6. Explore relationships between data using correlation and scatter plots

  7. Perform t-tests to compare data from different years

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

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