YoVDO

Deploying a Python Data Analytics web app on Heroku

Offered By: Coursera Project Network via Coursera

Tags

Data Analysis Courses Python Courses Heroku Courses

Course Description

Overview

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.

Syllabus

  • Project Overview
    • Deploying a Python data analytics web app on Heroku using real-world data, is an intermediate level Python project that seeks to help anyone looking to break into data science or transition into it, be able to build a data analytics web application using Python and Streamlit and deploy it online using Heroku. This in turn will facilitate building a unique data science and ML portfolio that will help them demonstrate their knowledge using real-world data and help them stand out on the job market.

Taught by

Emmanuel Acheampong

Related Courses

Artificial Intelligence for Robotics
Stanford University via Udacity
Intro to Computer Science
University of Virginia via Udacity
Design of Computer Programs
Stanford University via Udacity
Web Development
Udacity
Programming Languages
University of Virginia via Udacity