- All
- Favorite
- Popular
- Most rated
Introduction to Natural Language Processing in R
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Developing R Packages
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Visualization Best Practices in R
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Data Privacy and Anonymization in Python
Learn to process sensitive information with privacy-preserving techniques.
Text Mining with Bag-of-Words in R
Learn the bag of words technique for text mining with R.
Network Analysis in R
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.
Performing Experiments in Python
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Financial Forecasting in Python
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Survival Analysis in Python
Use survival analysis to work with time-to-event data and predict survival time.
Visualizing Big Data with Trelliscope in R
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Sentiment Analysis in R
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Writing Efficient Code with pandas
Learn efficient techniques in pandas to optimize your Python code.
Dimensionality Reduction in R
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Introduction to Spark with sparklyr in R
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Case Study: Mortgage Trading Analysis in Power BI
In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.
Factor Analysis in R
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Survival Analysis in R
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!
Feature Engineering in R
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
Advanced NLP with spaCy
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
Marketing Analytics in Google Sheets
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Practicing Statistics Interview Questions in R
In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Statistical Simulation in Python
Learn to solve increasingly complex problems using simulations to generate and analyze data.
Generalized Linear Models in Python
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
Dealing With Missing Data in R
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.