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

Discover the different ways you can enhance your Power BI data importing skills.

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

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

In this course you'll learn to analyze and visualize network data with the igraph package.

Learn how to make predictions about the future using time series forecasting in R.

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

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

Learn how to import and manipulate data with Oracle SQL.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Learn how to segment customers in Python.

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

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

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

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