Deploying a Python Data Analytics web app on Heroku

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.
  • 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
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

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.

개발할 기술

  • Heroku
  • Python Programming
  • Streamlit
  • Data Analysis
  • GIT

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  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

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

자주 묻는 질문

자주 묻는 질문

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.