Data science courses

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 easily summarize and manipulate lists using the purrr package.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Are you curious about the inner workings of the models that are behind products like Google Translate?

Learn to analyze and model customer choice data in R.

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Learn how to prepare and organize your data for predictive analytics.

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

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

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

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

Predict employee turnover and design retention strategies.

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Learn how to tune your models hyperparameters to get the best predictive results.

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Learn to detect fraud with analytics in R.

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

Learn defensive programming in R to make your code more robust.

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

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

Use C++ to dramatically boost the performance of your R code.