#### Importing & Cleaning Data

with R

A Data Analyst collects, processes, and creates visualizations in order to gain insights from complex data sets.

Learn about fundamental data types, logic, and how to create your own functions using the R language.

with R

Learn how to parse data from flat files, statistical software, databases, websites, and more.

with R

Master advanced concepts in data manipulation using powerful tools like dplyr and data.table.

with R

Learn the key statistical concepts and techniques used by statisticians and data scientists every day.

with R

A Data Scientist combines statistical and machine learning techniques with R programming to analyze and interpret complex data.

with R

Learn the core techniques necessary to extract meaningful insights from time series data.

An R Developer uses their programming skills to wrangle data and build tools for data analysis.

with R

Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

with R

Different approaches to organizing and analyzing data of the text variety (books, articles, documents).

with R

Using R to build applications that can be hosted on the internet without using any other web programming languages, like interactive dashboards.

with R

Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.

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