Pandas Python Library for Beginners in Data Science

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このガイド付きプロジェクトでは、次のことを行います。

Learn how to clean data using pandas.

Learn how to do basic data preprocessing.

Learn how to handle quantitative data (numeric data) and qualitative data (text data) with pandas.

Clock1 hour
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

Note 1: As a beginner you are not yet ready to work with real world data. So real world data is not used in this project. Note2 : If you are already familiar with pandas and want to work with real world data, check out the intermediate course here: https://www.coursera.org/projects/intermediate-pandas-python-library-data-science This guided project is for college students or those who have not heard of pandas before and want to learn about the syntax in pandas, one of the most important python libraries for data analysis. By the end of this project, you will master the basics of pandas. You will be able to gain insight into the data, clean it, and do basic preprocessing to get the most value out of your data. Special Features: 1) This project provides plenty of challenges with solutions to encourage you to practice using pandas. 2) Libraries are automatically imported each time you begin a new session. Just open the project and start learning! 3) The real world applications of each function is explained. 4) After you complete this project, you get a jupyter notebook of all the work you covered (including gifs). It acts as a useful learning tool that you can refer to at any time in the future. 5) Best practices and tips are provided to ensure that you learn how to use pandas efficiently. 6) Animated gifs are used to aid in the learning process. 7) Important terminology and definitions are explained. 8) Simple language is used throughout the project, so that you can focus on coding. (Eg: Quantitative data is referred to simply as numeric data.) Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

あなたが開発するスキル

Data ScienceArtificial Intelligence (AI)Python ProgrammingData AnalysisPandas

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. Three methods of creating a series.

  2. Two methods of creating data frames.

  3. Importing/exporting different types of data files and viewing rows.

  4. Get a summary of the data & view column names and data types.

  5. Calculate mean & cumulative sum. Determine minimum & maximum values.

  6. String operations such as converting to uppercase letters , lowercase letters, swap case, finding the length of a string, splitting strings and detecting unique values.

  7. Repeating strings.

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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