Introduction to Portfolio Risk Management in Python
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
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Durch Klick auf die Schaltfläche akzeptierst du unsere Nutzungsbedingungen, unsere Datenschutzrichtlinie und die Speicherung deiner Daten in den USA.Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Dieser Kurs zeigt, wie du Visualisierungen und Berichte in Power BI zielgruppengerecht gestaltest.
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.
Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!
Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.
In this course, youll learn the basics of relational databases and how to interact with them.
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Learn how to identify, analyze, remove and impute missing data in Python.
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.
This course will show you how to integrate spatial data into your Python Data Science workflow.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Visualize seasonality, trends and other patterns in your time series data.
Lerne, verteiltes Datenmanagement und maschinelles Lernen in Spark mit dem PySpark-Paket zu implementieren.
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.
Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Learn how to structure your PostgreSQL queries to run in a fraction of the time.
In this course, students will learn to write queries that are both efficient and easy to read and understand.