Efficient AI Model Training with PyTorch
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
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Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Learn how to access financial data from local files as well as from internet sources.
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.
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Learn to analyze, plot, and model multivariate data.
Explore HR data analysis in Tableau with this case study.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.
Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Learn how to design, automate, and monitor scalable forecasting pipelines in Python.
In this course youll learn how to apply machine learning in the HR domain.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
In this course youll learn how to use data science for several common marketing tasks.
Learn how to prepare and organize your data for predictive analytics.
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
This course will show you how to combine and merge datasets with data.table.
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.