Artificial Intelligence

Data Science Fundamentals

From insight to practice: discover the fundamentals of Data Science
Course duration 1 days
Investment € 720 (excl. VAT)
Course dates

 

General
Program
Trainers
Certificate

There is an ever growing need to also, next to the well-known business intelligence (BI)-applications like reports, dashboards and OLAP, develop Machine Learning, Data Mining, Artificial Intelligence (simply, Data Science) applications for and together with users. In this course, we’ll explore the differences between Business Intelligence, Data Warehousing, Big Data, and Data Science. We will explain what Data Science is, why it’s valuable for BI and Data Warehouse professionals, and how you can apply it practically.

What can you expect?

After following this course you will be able to identify different concepts and steps in Data Science, talk about and give advice on tools and implementation.

What will you learn?

After following this training you will have insight into:

  • The fundamental role of Data Science in the current data landscape
  • The differences and similarities with Business Intelligence
  • The various forms of Data Science: Data Mining, Machine Learning and Artificial Intelligence
  • Concrete real-world Data Science examples
  • A deepening in the different algorithms for Data Science
  • An overview of well-known and lesser known tools
  • Various demos of Data Science Tools

Who is this training intended for?

This course is focused on everyone with a Business Intelligence and Datawarehousing background who wants to get to know the possibilities of Data Science.

Training structure

The training combines theory with concrete practical examples and assignments. You will learn from experienced trainers with hands-on experience.

Required prior knowledge

  • No specific technical knowledge is required;
  • An affinity with data, BI, or IT projects is an advantage.

Why participate?

You will learn how to apply Data Science in your work practice and which tools and methods are available for this. This will enable you to lay a solid foundation for successful projects and contribute directly to data-driven decision-making.
Register today and lay a solid foundation in Data Science!

During the course you will get insight into fundamental and up-to-date developments within the Data Science expertise and which question you are able to solve with Data Science. The focus is on creating insight in the cohesion between the diverse subjects.

Subjects that will be discussed:

  • Overview of Data Science
    • What is Data Science and what are the differences and similarities with BI and Datawarehousing?
    • What questions are we able to solve with Data Science?
  • The relationship between Big Data and Big Science
    • Data Mining
    • Predictive and descriptive models: how to make the choice and how to apply them
    • Supervised and unsupervised learning
    • Overview of Data Mining forms (classifications, clustering, association)
  • Machine Learning
    • Overview of Machine Learning algorithms
    • Building models and making choices
    • Neural networks, decision trees, genetic algorithms: how can they be of use and how does it work?
    • Deep learning: en route to Artificial Intelligence
  • Artificial Intelligence
    • What is Artificial Intelligence?
    • The difference between Data Mining and Machine Learning
    • AI in the daily practice: how much of it do we actually notice?
  • Data Science in practice
    • Case: Clinical Decision Support
    • Case: Intelligent Environmental Zone
  • Data Science roles
    • From BI Competence Centre to Data Science Competence Centre: from data driven to data centric
    • From BI consultant to Data Science consultant: developing a new skillset, what does this look like?
  • Data Science process
    • CRISP-DM: method for Data Science
    • Roadmap for the implementation of Data Science
    • Risks, pitfalls, measures
  • Tool demos
    • Demo RapidMiner Data Science Platform
    • Demo MS Azure Machine Learning
    • Demo TIBCO Spotfire Predictive Analytics
  • Tool Overview and Advice
    • RapidMiner, SAS, IBM, KNIME, Microsoft, TIBCO, MapR, R, Python
  • Tips and Advice for a Successful Data Science Project
    • Setting up business cases and use cases for Data Science
    • Action plan for Data Science projects
    • Success and failure factors
    • 5 tips to take home

These training courses are provided by experts with years of experience in Data Science and AI.

After completion, you will receive a Certificate of Professional Development as proof of the knowledge and skills you have acquired.

In-Company

Prefer an in-company or tailor-made training?

Request information or a quotation immediately.

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Do you have any questions or would you like to discuss the right training program for you?

Feel free to contact our trainers at:

 

+31(0)345 – 228 592
academy@connecteddatagroup.nl

Contact

Succes cases

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Course duration

1 days

investment

€ 720 (excl. VAT)

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