598 results

Object-Oriented Programming with S3 and R6 in R

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

4 hours Programming Richie Cotton Course

Cleaning Data with PySpark

Learn how to clean data with Apache Spark in Python.

4 hours Data Preparation Mike Metzger 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

Artificial Intelligence (AI) Strategy

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

3 hours Artificial Intelligence Vidhi Chugh Course

Time Series Analysis in SQL Server

Explore ways to work with date and time data in SQL Server for time series analysis

5 hours Data Manipulation Maham Khan Course

Building Dashboards with Dash and Plotly

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

4 hours Data Visualization Alex Scriven Course

Customer Analytics and 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

Building Data Engineering Pipelines in Python

Learn how to build and test data engineering pipelines in Python using PySpark and Apache Airflow.

4 hours Data Engineering Kai Zhang Course

Intermediate Importing Data in R

Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.

3 hours Data Preparation Filip Schouwenaars Course

Machine Learning with PySpark

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

4 hours Machine Learning Andrew Collier Course

Financial Analysis in Power BI

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

6 hours Data Visualization Nick Edwards Course

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

4 hours Machine Learning Zachary Deane-Mayer Course

Building Web Applications with Shiny in R

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

4 hours Programming kaelen medeiros Course

Cluster Analysis in R

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hours Machine Learning Dmitriy Gorenshteyn 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

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

4 hours Probability & Statistics Justin Bois Course

Introduction to Data Privacy

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

2 hours Data Literacy Tiffany Lewis Course

Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

4 hours Probability & Statistics David S. Matteson Course

Image Processing with Keras in Python

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

4 hours Machine Learning Ariel Rokem Course

End-to-End Machine Learning

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

4 hours Machine Learning Joshua Stapleton Course

Writing Efficient Code with pandas

Learn efficient techniques in pandas to optimize your Python code.

4 hours Programming Leonidas Souliotis Course

Modeling with Data in the Tidyverse

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

4 hours Probability & Statistics Albert Y. Kim Course

Analyzing Data in Spreadsheets

Learn how to analyze data with spreadsheets using functions such as SUM(), AVERAGE(), and VLOOKUP().

3 hours Programming Vincent Vankrunkelsven Course

Introduction to Embeddings with the OpenAI API

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAI's embedding model!

3 hours Artificial Intelligence James Chapman Course

Hierarchical and Mixed Effects Models in R

In this course you will learn to fit hierarchical models with random effects.

4 hours Probability & Statistics Richard Erickson Course

Large Language Models for Business

Explore Large Language Models (LLMs) in business. Realize their value and where you can begin utilizing them today.

1 hour Artificial Intelligence Iason Prassides Course

Intermediate Deep Learning with PyTorch

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

4 hours Artificial Intelligence Michał Oleszak Course

Credit Risk Modeling in Python

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

4 hours Applied Finance Michael Crabtree Course

Introduction to 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

Importing and Managing Financial Data in Python

In this course, you'll learn how to import and manage financial data in Python using various tools and sources.

5 hours Applied Finance Stefan Jansen Course

Introduction 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

Advanced Deep Learning with Keras

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

4 hours Artificial Intelligence Zachary Deane-Mayer Course

Introduction to DevOps

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

4 hours Programming Cem Sakarya Course

Quantitative Risk Management in Python

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

4 hours Applied Finance Jamsheed Shorish Course

Working with Geospatial Data in Python

This course will show you how to integrate spatial data into your Python Data Science workflow.

4 hours Data Manipulation Joris Van den Bossche 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 Joanne Xiong Course

Building Chatbots in Python

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

4 hours Artificial Intelligence Alan Nichol Course

Introduction to Data Visualization with Plotly in Python

Create interactive data visualizations in Python using Plotly.

4 hours Data Visualization Alex Scriven Course

Working with Dates and Times in R

Learn the essentials of parsing, manipulating and computing with dates and times in R.

4 hours Programming Charlotte Wickham Course

Introduction to Network Analysis in Python

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

4 hours Probability & Statistics Eric Ma Course

Financial Trading in Python

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

4 hours Applied Finance Chelsea Yang Course

A/B Testing in Python

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

4 hours Probability & Statistics Moe Lotfy, PhD Course

Calculations in Tableau

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

6 hours Data Visualization Maarten Van den Broeck Course

Introduction to Databases in Python

In this course, you'll learn the basics of relational databases and how to interact with them.

4 hours Data Manipulation Jason Myers 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

Visualizing Time Series Data in Python

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

4 hours Data Visualization Thomas Vincent Course

Financial Modeling in Spreadsheets

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Sheets.

4 hours Applied Finance Erin Buchanan Course

Introduction to Portfolio Analysis in Python

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

4 hours Applied Finance Charlotte Werger 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

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
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