- Data Analysis
- Tidyverse (R Package)
- Data Manipulation
- Shiny (R Package)
- Predictive Analytics
- Regression Analysis
- Data Collection
- Data Cleansing
- Data Presentation
- Ggplot2
- Exploratory Data Analysis
- Data Science
Data Science with R - Capstone Project
Completed by Amruta Pandit Ghube
December 12, 2023
24 hours (approximately)
Amruta Pandit Ghube's account is verified. Coursera certifies their successful completion of Data Science with R - Capstone Project
What you will learn
Write a web scraping program to extract data from an HTML file using HTTP requests and convert the data to a data frame.
Prepare data for modelling by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.
Interpret datawithexploratory data analysis techniques by calculating descriptive statistics, graphing data, and generating correlation statistics.
Build a Shiny app containing a Leaflet map and an interactive dashboard then create a presentation on the project to share with your peers.
Skills you will gain
