Bond Valuation and Analysis in Python
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
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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 how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.
Learn how to prepare and organize your data for predictive analytics.
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
Learn to use the Census API to work with demographic and socioeconomic data.
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Use survival analysis to work with time-to-event data and predict survival time.
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
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.
Learn to process sensitive information with privacy-preserving techniques.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Are you curious about the inner workings of the models that are behind products like Google Translate?
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
In this course youll learn how to apply machine learning in the HR domain.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
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.