Ementorhub

What you'll learn

Apply tidy data principles to manipulate and restructure data (e.g., subsetting, adding columns, and transforming data between wide and long formats)

Develop and implement code to join data sets and perform basic web scraping to collect data

Apply data structures such as wide and long formats, using code to convert between these formats as part of data preparation and analysis

Skills you'll gain

Data Transformation

R Programming

Data Import/Export

Data Ethics

Data Literacy

Tidyverse (R Package)

Data Wrangling

Data Cleansing

Exploratory Data Analysis

Web Scraping

Data Manipulation

There are 3 modules in this course

This course aims to better develop your statistical toolkit in the world of statistics and data science. You will learn how to collect, manipulate, and transform data in R into a more readily usable format using tidyverse data pipelines, primarily using verbs from the dplyr and tidyr packages. The topics covered provide you with the tools necessary to convert data to be better suited for data visualization (Course 1) and modeling; which is to come in this certificate program in a future course. Additionally, we discuss the topics of web scraping and the considerations one must take prior to scraping data from the web.

Importing + Recoding Data

Web Scraping and Programming