334 results

Intermediate R for Finance

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

Statistical Modeling in R (Part 1)

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

Machine Learning in the Tidyverse

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

5 hours Machine Learning Dmitriy Gorenshteyn Course

Introduction to Seaborn

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

4 hours Data Visualization Erin Case Course

Foundations of Probability in R

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

4 hours Probability & Statistics David Robinson Course

Fraud Detection in Python

Learn how to detect fraud using Python.

4 hours Machine Learning Charlotte Werger Course

Feature Engineering for NLP in Python

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

Introduction to Linear Modeling in Python

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

Preprocessing for Machine Learning in Python

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

4 hours Machine Learning Sarah Guido Course

Advanced NLP with spaCy

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

String Manipulation in R with stringr

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

4 hours Programming Charlotte Wickham Course

Text Mining: Bag of Words

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

4 hours Case Studies Ted Kwartler Course

Intermediate R: Practice

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

Working with Geospatial Data in R

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

Software Engineering for Data Scientists in Python

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

4 hours Programming Adam Spannbauer Course

Supervised Learning in R: Regression

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

Exploratory Data Analysis in Python

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

4 hours Case Studies Allen Downey Course

Machine Learning with Tree-Based Models in R

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

Preparing for Coding Interview Questions in Python

Prepare for your next coding interviews in Python.

4 hours Programming Kirill Smirnov Course

Manipulating Time Series Data in Python

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

4 hours Data Manipulation Stefan Jansen Course

Joining Data in R with data.table

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

4 hours Data Manipulation Scott Ritchie Course

Foundations of Inference

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

Foundations of Predictive Analytics in Python (Part 1)

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

4 hours Machine Learning Nele Verbiest Course

Fundamentals of Bayesian Data Analysis in R

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

Importing & Cleaning Data in R: Case Studies

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

Statistical Simulation in Python

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

4 hours Probability & Statistics Tushar Shanker Course

Customer Analytics & A/B Testing in Python

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

Writing Efficient Python Code

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

4 hours Programming Logan Thomas Course

Model Validation in Python

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

4 hours Machine Learning Kasey Jones Course

Supply Chain Analytics in Python

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

4 hours Machine Learning Aaren Stubberfield Course

Data Science for Managers

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

4 hours Management Michael Chow Course

Parallel Programming in R

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

4 hours Programming Hana Sevcikova Course

Marketing Analytics in R: Statistical Modeling

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

4 hours Probability & Statistics Verena Pflieger Course

Data Types for Data Science

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

Preparing for Statistics Interview Questions in Python

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

Experimental Design in R

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

4 hours Probability & Statistics kaelen medeiros Course

Customer Segmentation in Python

Learn how to segment customers in Python.

4 hours Machine Learning Karolis Urbonas Course

Intro to Portfolio Risk Management in Python

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

Machine Learning with Apache Spark

Learn how to make predictions with Apache Spark.

4 hours Machine Learning Andrew Collier Course

Visualizing Time Series Data in Python

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

4 hours Data Visualization Thomas Vincent Course

Generalized Linear Models in R

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

4 hours Probability & Statistics Richard Erickson Course

Working with Web Data in R

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

4 hours Importing & Cleaning Data Charlotte Wickham Course

Introduction to Spark SQL with Python

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

4 hours Data Manipulation Mark Plutowski Course

Data Visualization with Seaborn

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

4 hours Data Visualization Chris Moffitt Course

Feature Engineering with PySpark

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

Marketing Analytics in R: Choice Modeling

Learn to analyze and model customer choice data in R.

4 hours Probability & Statistics Elea McDonnell Feit Course

Introduction to MongoDB in Python

Learn to manipulate and analyze flexibly structured data with MongoDB.

4 hours Data Manipulation Donny Winston Course

Importing and Managing Financial Data in R

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

5 hours Applied Finance Joshua Ulrich Course

Building Dashboards with flexdashboard

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

4 hours Reporting Elaine McVey Course

Improving Your Data Visualizations in Python

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

4 hours Data Visualization Nicholas Strayer Course
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