Data-Science-Kurse

Learn to process, transform, and manipulate images at your will.

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Learn the fundamentals of working with big data with PySpark.

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

Erkunden Sie die Grundlagen des Datenqualitätsmanagements. Lernen Sie Konzepte, Dimensionen und Techniken.

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

In this course youll learn the basics of working with time series data.

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Understand the fundamentals of Machine Learning and how its applied in the business world.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Learn how to manipulate and visualize categorical data using pandas and seaborn.

Discover the different ways you can enhance your Power BI data importing skills.

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Learn the key components of building a strong data culture within an organization.

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

Lernen Sie, Daten schnell und genau zu bereinigen, um Ihr Unternehmen von Rohdaten zu tollen Erkenntnissen zu führen.

Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.