379 results

Convolutional Neural Networks for Image Processing

Convolutional neural networks are deep learning algorithms that are particularly powerful for analysis of images.

4 hours Machine Learning Ariel Rokem Course

Reporting in SQL

Learn to apply all the SQL concepts and functions you have learned in previous courses to build out your very own dashboard

4 hours Reporting Tyler Pernes Course

Manipulating Time Series Data in R with xts & zoo

The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.

4 hours Data Manipulation Jeffrey Ryan Course

Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

4 hours Machine Learning Albert Y. Kim 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

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

Data-Driven Decision Making in SQL

Learn how to analyze a SQL table and report insights to management.

4 hours Reporting Bart Baesens 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

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

Linear Classifiers in Python

In this course you will learn the details of linear classifiers like logistic regression and SVM.

4 hours Machine Learning Mike Gelbart Course

Building Dashboards with shinydashboard

In this course you'll learn to build dashboards using the shinydashboard package.

4 hours Reporting Lucy D’Agostino McGowan Course

Writing Functions in Python

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

4 hours Programming Shayne Miel Course

Analyzing Business Data in SQL

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

4 hours Case Studies Michel Semaan Course

Credit Risk Modeling in R

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

4 hours Applied Finance Lore Dirick 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

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

Text Mining: Bag of Words

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

4 hours Case Studies Ted Kwartler Course

Joining Data with dplyr in R

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hours Data Manipulation Chris Cardillo Course

Deep Learning with PyTorch

Learn to create deep learning models with the PyTorch library.

4 hours Machine Learning Ismail Elezi Course

Dealing With Missing Data in R

Make it easy to visualise, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

4 hours Importing & Cleaning Data Nicholas Tierney 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

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

Advanced Deep Learning with Keras in Python

Build multiple-input and multiple-output deep learning models using Keras.

4 hours Machine Learning Zachary Deane-Mayer Course

Introduction to Text Analysis in R

Analyze text data in R using the tidy framework.

4 hours Data Manipulation Marc Dotson Course

Machine Learning with Apache Spark

Learn how to make predictions with Apache Spark.

4 hours Machine Learning Andrew Collier 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

Fraud Detection in Python

Learn how to detect fraud using Python.

4 hours Machine Learning Charlotte Werger Course

Supply Chain Analytics in Python

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

4 hours Machine Learning Aaren Stubberfield 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

Introduction to Portfolio Analysis in R

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

5 hours Applied Finance Kris Boudt 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

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

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

Statistics in Spreadsheets

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

4 hours Probability & Statistics Ted Kwartler 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

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

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

Introduction to Seaborn

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

4 hours Data Visualization Erin Case 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

Data Processing in Shell

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

4 hours Data Manipulation Susan Sun 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

Writing Functions and Stored Procedures in SQL Server

Master SQL Server programming by learning to create, update and execute functions and stored procedures.

4 hours Programming Meghan Kwartler Course

ARIMA Modeling with R

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

4 hours Probability & Statistics David Stoffer Course

Forecasting Using ARIMA Models in Python

Learn about ARIMA models in Python and become an expert in time series analysis.

4 hours Machine Learning James Fulton Course

Valuation of Life Insurance Products in R

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

4 hours Applied Finance Katrien Antonio Course

Network Analysis in R

In this course you'll learn to analyze and visualize network data with the igraph package.

4 hours Probability & Statistics James Curley Course

Sentiment Analysis in Python

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

4 hours Machine Learning Violeta Misheva 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

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
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