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In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
This course focuses on feature engineering and machine learning for time series data.
Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.
Master sampling to get more accurate statistics with less data.
Master the key concepts of data management, from life cycle stages to security and governance.
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Lerne, wie du die KNIME Analytics Platform für den Datenzugriff, die Datenbereinigung und die Datenanalyse mit einem No-Code/Low-Code-Ansatz nutzen kannst.
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.
Create new features to improve the performance of your Machine Learning models.
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.
Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.
Learn about string manipulation and become a master at using regular expressions.
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
Learn to create your own Python packages to make your code easier to use and share with others.
Lernen und nutzen Sie leistungsstarke Deep Reinforcement Learning-Algorithmen, inkl. Optimierungstechniken.
Step right into the dynamic world of data modeling with Snowflake!
Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.
Learn to perform linear and logistic regression with multiple explanatory variables.
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.