555 results

Intermediate Python for Finance

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

4 hours Applied Finance Kennedy Behrman Course

Introduction to Data Culture

This introductory course on data culture provides an essential understanding of data culture concepts and their practical applications.

1 hour Data Literacy Joanne Xiong Course

Dimensionality Reduction in Python

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

4 hours Machine Learning Jeroen Boeye Course

Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours Probability & Statistics Richie Cotton Course

Time Series Analysis in Python

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

4 hours Probability & Statistics Rob Reider Course

Introduction to Version Control with Git

This course is an introduction to version control with Git for data scientists.

4 hours Programming DataCamp Content Creator Course

Machine Learning for Time Series Data in Python

This course focuses on feature engineering and machine learning for time series data.

4 hours Machine Learning Chris Holdgraf Course

Connecting Data in Tableau

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

3 hours Data Preparation Sara Billen Course

Applying SQL to Real-World Problems

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

4 hours Other Dmitriy Gorenshteyn Course

GitHub Concepts

Learn how to use GitHub's various features, navigate the interface and perform everyday collaborative tasks.

2 hours Other George Boorman 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

Intermediate Regression in R

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hours Probability & Statistics Richie Cotton Course

Analyzing Marketing Campaigns with pandas

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

4 hours Other Jill Rosok Course

Introduction to Deep Learning with Keras

Learn to start developing deep learning models with Keras.

4 hours Artificial Intelligence Miguel Esteban Course

AWS Cloud Concepts

Learn the fundamentals of cloud computing with AWS.

2 hours Data Engineering Hatim Khouzaimi Course

Statistical Techniques in Tableau

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

4 hours Data Visualization Maarten Van den Broeck Course

Introduction to Writing Functions in R

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hours Programming Richie Cotton Course

Marketing Analytics for Business

Discover how Marketing Analysts use data to understand customers and drive business growth.

2 hours Leadership Sarah DeAtley Course

Introduction to Bash Scripting

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

4 hours Programming Alex Scriven Course

Feature Engineering for Machine Learning in Python

Create new features to improve the performance of your Machine Learning models.

4 hours Machine Learning Robert O'Callaghan Course

Case Study: Analyzing Customer Churn in Tableau

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

3 hours Data Visualization Carl Rosseel Course

Case Study: Analyzing Customer Churn in Excel

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

3 hours Reporting Jess Ahmet Course

Visualization Best Practices in R

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

4 hours Data Visualization Nicholas Strayer Course

Reporting in SQL

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

4 hours Reporting Tyler Pernes Course

Developing Python Packages

Learn to create your own Python packages to make your code easier to use and share with others.

4 hours Programming James Fulton 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

Deep Learning with PyTorch

Learn to create deep learning models with the PyTorch library.

4 hours Artificial Intelligence Ismail Elezi Course

Extreme Gradient Boosting with XGBoost

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

4 hours Machine Learning Sergey Fogelson Course

Cleaning Data in PostgreSQL Databases

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

4 hours Data Preparation Darryl Reeves Ph.D 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 Julia

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

4 hours Programming James Fulton Course

Writing Efficient Code with pandas

Learn efficient techniques in pandas to optimize your Python code.

4 hours Programming Leonidas Souliotis Course

Data Governance Concepts

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

2 hours Data Management Courtney E. Smith 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

Dealing with Missing Data in Python

Learn how to identify, analyze, remove and impute missing data in Python.

4 hours Data Manipulation Suraj Donthi Course

Cleaning Data with PySpark

Learn how to clean data with Apache Spark in Python.

4 hours Data Preparation Mike Metzger Course

Marketing Analytics: Predicting Customer Churn in Python

Learn how to use Python to analyze customer churn and build a model to predict it.

4 hours Programming Mark Peterson Course

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours Machine Learning Hank Roark 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

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

Practicing Coding Interview Questions in Python

Prepare for your next coding interviews in Python.

4 hours Programming Kirill Smirnov 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

Data Visualization in Tableau

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

6 hours Data Visualization Maarten Van den Broeck Course

Introduction to Data Visualization with Plotly in Python

Create interactive data visualizations in Python using Plotly.

4 hours Data Visualization Alex Scriven Course

Linear Algebra for Data Science in R

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

4 hours Probability & Statistics Eric Eager Course

NoSQL Concepts

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

2 hours Data Engineering Miriam Antona 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

Advanced Deep Learning with Keras

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

4 hours Artificial Intelligence Zachary Deane-Mayer 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

Analyzing Business Data in SQL

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

4 hours Reporting Michel Semaan Course
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