Ben Denis Shaffer

Ben Denis Shaffer

514,108 XP Earned
112 Courses completed
6,177 Exercises Aced

Ben denis's XP per Topic (Courses Only)

Data Engineering

4050 XP

Programming

149806 XP

Importing & Cleaning Data

31000 XP

Data Manipulation

69617 XP

Data Visualization

47603 XP

Probability & Statistics

102924 XP

Machine Learning

37300 XP

Applied Finance

28836 XP

Reporting

14600 XP

Case Studies

13565 XP

Management

850 XP

Other

150 XP

Ben denis's Completed Tracks

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Python Programming

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

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Finance Basics

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.

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Tidyverse Fundamentals

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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Big Data

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.

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R Programming

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

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Data Manipulation

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.

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SQL Fundamentals

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

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R Programmer

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

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Data Analyst

with R

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

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Importing & Cleaning Data

with R

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

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Data Scientist

with R

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

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Machine Learning Fundamentals

in R

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

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Statistical Inference

with R

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

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Statistics Fundamentals

with R

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

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Shiny Fundamentals

with R

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

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Statistician

with R

A statistician collects and analyzes data and helps companies make sense of quantitative data, including spotting trends and making predictions.

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Ben denis's Completed Courses

Ben denis's Completed Projects

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