HR Analytics: Predicting Employee Churn in R
Predict employee turnover and design retention strategies.
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Predict employee turnover and design retention strategies.
In this course youll learn how to use data science for several common marketing tasks.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
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 how to tune your models hyperparameters to get the best predictive results.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Learn to analyze and model customer choice data in R.
Master strategic data management for business excellence.
Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.
Learn to detect fraud with analytics in R.
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.
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Learn the fundamentals of valuing stocks.
Learn defensive programming in R to make your code more robust.
Learn to create animated graphics and linked views entirely in R with plotly.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Use C++ to dramatically boost the performance of your R code.
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.