Data science courses

Master Amazon Redshift's SQL, data management, optimization, and security.

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

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

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

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

Learn how to detect fraud using Python.

Learn to design and run your own Monte Carlo simulations using Python!

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

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

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

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

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

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

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

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Learn how to approach and win competitions on Kaggle.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

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

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Using Python and NumPy, learn the most fundamental financial concepts.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

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.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

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

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

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Learn how to segment customers in Python.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.