As a data scientist, you are responsible for transforming unstructured raw data into a well-organized and useful database that can be used for important decisions within the company. In this process, you will learn how to effectively use modern cloud technologies and business intelligence tools to improve your working methods and make data analysis more efficient.

This continuing education program offers various modules that you can select and combine according to your professional goals. At the end of the program, you will receive internationally recognized certificates that attest to your skills and knowledge in the field of data science.

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course content

You will develop a deep understanding of the essential Azure concepts. We will take an in-depth look at key topics such as Azure's main services, basic solutions, management tools, and security aspects, including network protection.

Certification: Microsoft Azure Fundamentals

You will understand the fundamental principles of databases in the cloud and gain in-depth knowledge of the various cloud data services. The focus is on providing you with a strong foundation in Microsoft Azure cloud data solutions.

Certification: Microsoft Azure Data Fundamentals

Learn how to use Azure services to develop, train, and deploy machine learning solutions. This includes Azure data science services that help you automate the data science pipeline.

Certification: Microsoft Azure Data Scientist Associate

You will learn the fundamental methods and best practices in data engineering that are relevant for working with batch and real-time analytics using Azure data platforms.

Certification: Microsoft Azure Data Engineer Associate

Provides an introduction to Python scripting and delivers essential knowledge for both beginners and advanced users. The course covers topics such as variables, functions, data types, error handling, and regular expressions.

Certification: New Horizons Certificate of Attendance

Learn the fundamental approaches and techniques in data engineering, especially in dealing with batch and real-time analytics using Azure data platform technologies.

Certification: Microsoft Azure AI Fundamentals

The EXIN® Agile Scrum Foundation certificate confirms that you understand the principles and practices of Agile and Scrum and can successfully implement them in practice. It shows that you have the necessary skills to thrive in an agile working environment.

Certification: EXIN® Agile Scrum Foundation

Kanban is a method that aims to optimize production processes. It focuses on making the workflow in each phase of a complex system efficient while minimizing costs.

Certification: EXIN® Kanban Foundation

Start date: Individual start possible at any
timeDuration: 5 months full-time, twice as long part-time. Depending on the location, the duration may vary.
Delivery: Live online lessons, followed by individual support with learning and exam preparation from experienced mentors.
Location: At the New Horizons Training Center or remotely (online) from home

Target group: 
Data analysis professionals such as data scientists, BI developers, data architects and technicians, as well as business intelligence experts who want to deepen their knowledge of data engineering and the development of analysis platforms in Microsoft Azure. 

Prerequisites: 
Your continuing education program will be tailored to your existing knowledge and allows for individual adaptation of the submodules. These can be combined and varied as required. Basic English skills are required. 

Funding: 
100% of the costs can be covered by the Employment Agency. Also available for employees through funding under the Qualification Opportunities Act and/or in the case of short-time working.

We are AZAV certified:
We develop an individual training strategy that optimizes your career opportunities. You can work with us to create a flexible plan that is tailored to your specific requirements. Contact us for further details.
 

Frequently Asked Questions

  • The program combines data engineering and data science into a single learning path—from data integration and processing to the development and deployment of intelligent models.
  • Machine learning models require up-to-date and structured data. Data pipelines ensure that information is automatically collected, processed, and made available for analysis or AI applications.
  • This training program combines Azure fundamentals with Azure Data Engineering, Azure Data Science, and Azure AI, providing a comprehensive understanding of modern Microsoft data platforms.
  • Companies work with both historical data and information that arrives continuously. Today, both types of processing are integral to modern data platforms and complement each other in many projects.
  • Python is used to process data, automate workflows, and develop machine learning models. The language bridges data engineering and data science in numerous real-world projects.
  • Cloud platforms enable the scalable storage, processing, and analysis of large volumes of data. This allows data projects to be expanded flexibly and operated efficiently.
  • The individual modules build on one another in terms of subject matter and can be supplemented to align with existing knowledge or career goals. This creates a personalized path to certification.
  • The content is suitable for projects related to data platforms, machine learning, business intelligence, data integration, and cloud-based analytics environments across various industries.