Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Learn how to efficiently collect and download data from any website using R.
This course will show you how to integrate spatial data into your Python Data Science workflow.
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.
Learn how to approach and win competitions on Kaggle.
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.
In this course you'll learn to use and present logistic regression models for making predictions.
Create interactive data visualizations in Python using Plotly.
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.
Learn to streamline your machine learning workflows with tidymodels.
Master the key concepts of data management, from life cycle stages to security and governance.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
This course will show you how to combine and merge datasets with data.table.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
In this course you will learn to fit hierarchical models with random effects.
Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
