Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.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!
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Learn the bag of words technique for text mining with R.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
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 produce interactive web maps with ease using leaflet.
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
Learn to solve increasingly complex problems using simulations to generate and analyze data.
Learn efficient techniques in pandas to optimize your Python code.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Learn to build pipelines that stand the test of time.
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Interact with a customized GPT and use your prompting skills to plan and open your restaurant.
Use survival analysis to work with time-to-event data and predict survival time.
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Learn all about how DataCamp builds the best platform to learn and teach data skills.