#### Python Programming

Grow your programmer skills. Discover how to manipulate dictionaries and DataFrames, visualize real-world data, and write your own Python functions.

Grow your programmer skills. Discover how to manipulate dictionaries and DataFrames, visualize real-world data, and write your own Python functions.

Old Version

with R

Learn the very basics of R and finance, start manipulating your first-time series, and learn to pull financial data from local files and the internet.

with R

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

with R

Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.

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

with R

Take the pain out of data manipulation using dplyr and data.table. Learn how to transform, sort, and filter your data, ready for quick analysis.

Old Version

Learn the fundamental skills necessary to interact with the majority of dialects of SQL -- PostgreSQL, MySQL, and others!

Old Version

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

Old Version

with R

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

with R

Gain the real-world skills you need to import and clean your data when working in Râ€”making it possible for you to reveal the insights that matter.

Old Version

with R

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

in R

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

with R

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

with R

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

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