Deploying a Python Data Analytics web app on Heroku

提供方
Coursera Project Network
在此指导 项目中,您将:
  • Analyze the General Social Survey Data with Python Data modules.

  • Visualize the analyzed data with Streamlit in a web app.

  • Deploy Streamlit web app to Heroku.

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

Welcome to the “Deploying a Python data analytics web app on Heroku” guided project. This project is for anyone interested in breaking or transitioning into the data science field and hopes to build a portfolio that stands out with unique projects. In this project we’re going to be building and deploying a python data analytics web application leveraging the General Social Survey data, which collects information and records of behaviours, experiences and opinions of residents of the Us and is funded by the National Science Foundation, particularly finding the correlation between education, income and happiness for US residents in 2016. At the end of this project, learners will be able to deploy a python data analytics website using Python, Streamlit, Git and Heroku that they can show to potential hiring managers and recruiters as part of their portfolio.

您要培养的技能

HerokuPython ProgrammingStreamlitData AnalysisGIT

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Installing all the necessary libraries.

  2. Importing all the necessary libraries.

  3. Data exploration of the General Social Survey data of education, income and happiness

  4. Data visualization of the General Social Survey data of education, income and happiness

  5. Deploying your web app to Heroku

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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