Data is the key to making wise business decisions. This course will teach you to use data flow diagrams to optimize your data architecture to gain insights and make better decisions using data.

This course will introduce you to the concepts needed to identify use-cases for Machine Learning, formulate an ML problem, enumerate the canonical problems that ML is used to solve, and detail how ML is applied to complex data such as text, images and speech.

This course will teach you how to take massive amounts of data and create actionable insights.

How to transition from Excel to KNIME for beginners

Data cleansing with KNIME Data wrangling No coding ETL Tool Data preparation with KNIME

Künstliche Intelligenz - einfach erklärt für Einsteiger

In this course you'll learn the basic set of operators needed to author useful queries in the Kusto Query Language. Using the skills learned here, you'll be able to answer many of your data-related questions.

This course covers the fundamentals of the Kusto Query Language (KQL). You'll learn what KQL is, where it is used, and some of the terms and definitions associated with it.

In this course, you'll learn a set of scalar operators designed to make your query results nicely formatted and easy to read. With these you can create output more suitable to business users.

Learn how to generate and translate text using deep learning.

Apply regular expressions (regex) and other natural language parsing tactics to find meaning and insights in the texts you read every day.

Learn the basics of functional programming, concurrent programming, deployment, and more in this advanced Python course.