Data-Science-Kurse

Learn to create your own Python packages to make your code easier to use and share with others.

Master sampling to get more accurate statistics with less data.

Learn how to clean data with Apache Spark in Python.

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Learn to start developing deep learning models with Keras.

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Using Python and NumPy, learn the most fundamental financial concepts.

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.

Prepare for your next coding interviews in Python.

Learn to perform linear and logistic regression with multiple explanatory variables.

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

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Step right into the dynamic world of data modeling with Snowflake!