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Tutorials (84)

r programming
+1

Introduction to Monte Carlo Methods

In this tutorial, the reader will learn the Monte Carlo methodology and its applications in data science, like integral approximation, and parameter estimation.
Asael Alonzo Matamoros
November 9th, 2018
r programming
+1
39
39
data analysis
+2

Merging Datasets in R

In this tutorial, you'll learn to join multiple datasets in R.
Tom Jeon
October 29th, 2018
data analysis
+2
5
5

Cheat Sheets (4)

r programming
+3
recommended by
Karlijn Willems

Tidyverse Cheat Sheet For Beginners

November 30th, 2017This tidyverse cheat sheet for beginners will help you to find your way around the well-known packages dplyr and ggplot2!
100
100

Open Courses (32)

October 24th, 2018

Causal Inference with R - Experiments

r programming
Welcome to the Causal Inference with R – Experiments, the 2nd of 7 courses on causal inference concepts and methods created by Duke University with support from eBay, Inc.
9
9
October 24th, 2018

Causal Inference with R - Introduction

r programming
Welcome to the 1st course in our 7 part series on causal inference concepts and methods created by Duke University with support from eBay, Inc.
11
11

Podcast (16)

Episode 48 - latest episode

Managing Data Science Teams (with Angela Bassa)

November 12th, 2018
learning data science
+7

Blog Posts (159)

dataframed
+5

Angela Bassa discusses managing data science teams and much more.

Angela Bassa, the Director of Data Science at iRobot, talks about how to get into data science management, how to hire data scientists, and much more.
Hugo Bowne-Anderson
November 12th, 2018
8
8

Tech Thoughts (0)

There are currently no tech thought posts in r programming.

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