This Free Online Course Includes: 1.5-3 Hours of Learning CPD Accreditation Final Assessment

This course presents clinicians and digital health enthusiasts with an overview of the data revolution in medicine and how to exploit it for research and in the clinic. The course will not make you a bioinformatician but will introduce the main concepts, tools, algorithms, and databases in this field.

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

Learn to combine data from multiple tables by joining data together using pandas.

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

Learn how to build a job salary estimator using machine learning. Analyze job market data, use regression models to predict salaries, and understand the factors affecting salary ranges for various positions and industries.

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.