Data science courses

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

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

Master Amazon Redshifts SQL, data management, optimization, and security.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

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

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

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

Learn how to segment customers in Python.

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

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

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

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

Learn how to develop deep learning models with Keras.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

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

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

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

Use your knowledge of common spreadsheet functions and techniques to explore Python!

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

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Discover how to use the income statement and balance sheet in Power BI

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

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