SQL und fortgeschrittenes Machine Learning in Data Science

Module Description

*Programming fundamentals and data analysis with Python and pandas: introduction to basic programming concepts with Python and the use of the pandas library for efficient data manipulation and analysis to gain in-depth insights from data sets.

*Introduction to Data Science: Fundamentals of Data Science, including key concepts, techniques and tools to analyze data and gain valuable insights.

*Creating reports and dashboards with Power BI: Training in the use of Power BI to create interactive reports and dashboards to present data in a clear and understandable way and facilitate business decisions.

*Advanced Supervised Learning: In-depth exploration of supervised learning methods, including regression, classification and the application of these techniques to real-world data sets.

*Machine Learning Fundamentals: Introduction to the basic concepts and techniques of machine learning to lay the foundation for further studies and applications.

*Career Development in Data Professions: Strategies and tips for career planning and development in the data industry, including networking, interviewing, and continuing education.

*Group instruction and self-study: Combination of structured group instruction and flexible self-study modules to maximize the learning experience and accommodate individual learning needs.

!What does a data scientist do?

A data scientist analyzes and interprets large amounts of data in order to make informed decisions. Tasks include developing analysis methods, identifying patterns and trends, processing and analyzing unstructured data, implementing automation and setting up machine learning algorithms and AI. You will work closely with other departments to optimize business processes. The skills in analysis, programming and machine learning acquired during the training are essential to be successful as a data scientist.

!Wesentliche Fähigkeiten für Data Scientist

Als Data Scientist Consultant sind fundierte Kenntnisse in Python und Machine Learning Basics unerlässlich. Kurse in Data Science und Künstlicher Intelligenz bieten die Grundlagen, um KI in verschiedenen Anwendungsbereichen, wie Marketing, effektiv zu nutzen. Ein Künstliche Intelligenz Zertifikat oder eine Weiterbildung zum Data Scientist stärkt die Expertise.

Zusätzlich profitieren Data Scientists von Fähigkeiten in deskriptiver Statistik und Varianzanalysen, um Daten präzise auszuwerten. Weiterbildungen in IT, Informatik und Big Data Engineering helfen, das Wissen zu vertiefen und als Analyst oder Manager im Bereich Data Science erfolgreich zu sein.