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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Learn to solve increasingly complex problems using simulations to generate and analyze data.
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 ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
In this course youll learn how to leverage statistical techniques for working with categorical data.
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.
Learn all about how DataCamp builds the best platform to learn and teach data skills.
Learn to process sensitive information with privacy-preserving techniques.
Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.
Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Learn how to tune your models hyperparameters to get the best predictive results.
Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Learn to analyze, plot, and model multivariate data.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.
Learn to easily summarize and manipulate lists using the purrr package.
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.