#### Intermediate R for Finance

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

334 results

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

5 hours
Applied Finance
Lore Dirick
Course

This course was designed to get you up to speed with the most important and powerful methodologies in statistics.

4 hours
Probability & Statistics
Daniel Kaplan
Course

Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.

5 hours
Machine Learning
Dmitriy Gorenshteyn
Course

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

4 hours
Data Visualization
Erin Case
Course

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

4 hours
Probability & Statistics
David Robinson
Course

Learn how to detect fraud using Python.

4 hours
Machine Learning
Charlotte Werger
Course

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

4 hours
Machine Learning
Rounak Banik
Course

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

4 hours
Probability & Statistics
Jason Vestuto
Course

In this course you'll learn how to get your cleaned data ready for modeling.

4 hours
Machine Learning
Sarah Guido
Course

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

5 hours
Data Manipulation
Ines Montani
Course

Learn how to pull character strings apart, put them back together and use the stringr package.

4 hours
Programming
Charlotte Wickham
Course

Learn the bag of words technique for text mining with R.

4 hours
Case Studies
Ted Kwartler
Course

Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises.

4 hours
Other
Filip Schouwenaars
Course

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

4 hours
Data Visualization
Charlotte Wickham
Course

Learn all about modularity, documentation, & automated testing to help you solve Data Science problems quicker and more reliably.

4 hours
Programming
Adam Spannbauer
Course

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hours
Machine Learning
John Mount
Course

Learn how to explore, visualize, and extract insights from data.

4 hours
Case Studies
Allen Downey
Course

In this course, you'll learn how to use tree-based models and ensembles for regression and classification.

4 hours
Machine Learning
Gabriela de Queiroz
Course

Prepare for your next coding interviews in Python.

4 hours
Programming
Kirill Smirnov
Course

In this course you'll learn the basics of working with time series data.

4 hours
Data Manipulation
Stefan Jansen
Course

This course will show you how to combine and merge datasets with data.table.

4 hours
Data Manipulation
Scott Ritchie
Course

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hours
Probability & Statistics
Jo Hardin
Course

In this course you'll learn to use and present logistic regression models for making predictions.

4 hours
Machine Learning
Nele Verbiest
Course

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

4 hours
Probability & Statistics
Rasmus Bååth
Course

In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.

4 hours
Case Studies
Nick Carchedi
Course

Learn to solve increasingly complex problems using simulations to generate and analyze data.

4 hours
Probability & Statistics
Tushar Shanker
Course

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

4 hours
Probability & Statistics
Ryan Grossman
Course

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

4 hours
Programming
Logan Thomas
Course

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

4 hours
Machine Learning
Kasey Jones
Course

Leverage the power of Python and PuLP to optimize supply chains.

4 hours
Machine Learning
Aaren Stubberfield
Course

Learn about data science and how can you use it to strengthen your organization.

4 hours
Management
Michael Chow
Course

This course covers in detail the tools available in R for parallel computing.

4 hours
Programming
Hana Sevcikova
Course

In this course you'll learn how to use data science for several common marketing tasks.

4 hours
Probability & Statistics
Verena Pflieger
Course

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

4 hours
Programming
Jason Myers
Course

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

4 hours
Probability & Statistics
Conor Dewey
Course

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

4 hours
Probability & Statistics
kaelen medeiros
Course

Learn how to segment customers in Python.

4 hours
Machine Learning
Karolis Urbonas
Course

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

4 hours
Applied Finance
Dakota Wixom
Course

Learn how to make predictions with Apache Spark.

4 hours
Machine Learning
Andrew Collier
Course

Visualize seasonality, trends and other patterns in your time series data.

4 hours
Data Visualization
Thomas Vincent
Course

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

4 hours
Probability & Statistics
Richard Erickson
Course

Learn how to efficiently import data from the web into R.

4 hours
Importing & Cleaning Data
Charlotte Wickham
Course

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

4 hours
Data Manipulation
Mark Plutowski
Course

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

4 hours
Data Visualization
Chris Moffitt
Course

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

4 hours
Data Manipulation
John Hogue
Course

Learn to analyze and model customer choice data in R.

4 hours
Probability & Statistics
Elea McDonnell Feit
Course

Learn to manipulate and analyze flexibly structured data with MongoDB.

4 hours
Data Manipulation
Donny Winston
Course

Learn how to access financial data from local files as well as from internet sources.

5 hours
Applied Finance
Joshua Ulrich
Course

In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.

4 hours
Reporting
Elaine McVey
Course

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

4 hours
Data Visualization
Nicholas Strayer
Course