Wrangling Data for Data Analysts with Python

提供:
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。

You will be able to query Quandl's API for dummy data, read the data from the JSON file, and calculate the maximum and the minimum price.

You will be able to calculate the biggest price change, the average of a Turnover column in a specific year based on the analysis of this data.

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

By the end of this project, you will be able to analyze and data and answer three different questions by Data wrangling which is the process of gathering, selecting, and transforming data to answer an analytical question using Python. In this project, you will be able to gather the data for the whole year of 2020 and query it from the Quandl website using its API. It’s a free website for dummy data. You will be able to convert the returned JSON data into a Python dictionary. And you will be able to analyze this data to calculate the highest and lowest prices in this period, the biggest change based on High and Low price during this year, And finally, the average makeover during this year. This guided project is for people in the field of business and data analysis. people who want to wrangle data and answer business questions and Clarify the use case and predict the relations between the source data. It provides you with important steps to be a data analyst. Moreover, it equips you with the knowledge in python's native data structures 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 Wrangling
  • Data Analysis
  • Python Programming
  • Application Programming Interfaces (API)

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. You will be able to query Quandl's API for dummy data.

  2. You will be able to read the data from JSON file and calculate the maximum and the minimum of the opening column.

  3.  You will be able to calculate the biggest price change  on any day in a specific year.

  4. You will be able to calculate the average of a Turnover column in a specific year.

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

よくある質問

よくある質問

さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。