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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.
Learn the bag of words technique for text mining with R.
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Learn how to visualize time series in R, then practice with a stock-picking case study.
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.
Learn to solve increasingly complex problems using simulations to generate and analyze data.
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Azure Security
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Learn how to pull character strings apart, put them back together and use the stringr package.
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.
Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.
Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.