Data-Science-Kurse

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Master the key concepts of data management, from life cycle stages to security and governance.

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Create interactive data visualizations in Python using Plotly.

Learn the fundamentals of data visualization using Google Sheets.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Learn about ARIMA models in Python and become an expert in time series analysis.

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

This course will show you how to integrate spatial data into your Python Data Science workflow.

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.