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Smart Data training: Obtain prognoses for decisions from data
GET TO KNOW SMART DATA
More and more companies realize the potential of the recently available masses of data and start to redefine themselves as “smart data driven company”. With predictive models they obtain prognoses for decisions and measures on all business levels.
To fully exhaust this potential, you should gain experience with Smart Data und get to know a special mix of methods and approaches.
Smart Data Forum together with Fraunhofer-Allianz Big Data therefore offers Smart Data trainings for small and medium businesses. The Attendance is free, only prerequisite is a personal application for your Smart Data business.
You can also attend the free online courses (MOOCS) on digitalization topics offered by DFKI and acetec.
An overview of our training courses
By means of simple and practically relevant problems we teach methods of data exploration, modeling and validation. Here, professionals with basic knowledge in statistics and first programming experience will learn relevant basics in modern data analytics. For practical we use “RapidMiner”. The wide ranging application possibilities of the statistics programming language “R” will also be presented. Following this training you will be able to solve your first own analytics problems and to evaluate the benefits of machine learning processes.
Our training course are carried out by experienced data analysts. These experts can guarantee practical and theoretically founded contents. In small groups with maximally twelve participants intensive tutoring, including answering individual questions and discussing specific applications.
© Smart Data Forum
Focus group: analysts, who want to expand their skillset for analyzing data bases. Software developers and architects, who develop solutions to analytics problems. Interested persons from the research, who are searching for orientation in the data science field.
Prerequisites: Basic skills in statistics and programming
Number of participants: limited
Participation fee: free
Past dates: 24.-25. April 2017, 12.-13. June 2017, 20.-21. September 2017, 26.-27. October 2017, 28.-29. June 2018, 14.-15. August 2018
Upcoming dates: 09.-10. May 2019
Expected length: 1,5 days
Location: Smart Data Forum, Berlin
Access requirements: Application with one-pager per email to Pascal Van Poele Pascal.Van.Poele@iais.fraunhofer.de (contact data, goals and recent state of your smart data project)
- Overview and classifications
- Data analysis by approach model CRISP-DM, data preparation and evaluation
- Demonstration and practice of a simple workflow with RapidMiner
- Selection of models and attributes
- Classification: Entscheidungsbäume, Regel-Lerner, Neuronale Netze, Support Vector Machines, k-Nearest Neighbour, Ensemble Methoden
- Regression: Model Trees, Lineare Regression, Support Vector Regression
- Clustering: K-Means, DBSCAN, Hierarchisches Clustering
Please apply with a meaningful one-pager about your smart data. Please direct the application and further questions to:
Fraunhofer-Allianz Big Data
Pascal Van Poele
Free Online Courses by acatec – MOOCs
In free online courses taking several weeks you can acquire well-grounded orientational knowledge on digitalization topics. Videos and other teaching materials by scientists, business representatives, developers and stakeholders offer a variety of perspectives on special topics. These online courses are accompanied by expert and user forums to discuss the topics and go into further detail. All MOOCs from the acatec course series adress participants from the business sector as well as researchers and are suited for people without special precognitions. Certificates and confirmations of participation can be acquired. All courses are developed and directed by acatec – National Academy of Science and Engineering in cooperation with the German Research Center for Artificial Intelligence.
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Artificial Intelligence (AI) reached our every day lifes. No matter if you use language assistance systems on your smartphone or the autopilot in your vehicle – there is always AI involved. But a paradigm shift happened: Instead of coding all steps of knowledge processing manually, learning methods are programmed. With the help of machine learning Systems can recognize the structure of our world on their own and supplement their knowledge base.
In three course weeks scientist, stakeholders, developers and users offered orientational knowledge of machine learning in overall 38 videos. Attendies got an overview of methods of machine learning, application fields and tools. Specific examples von different branches like car industry, healthcare technology or the financial sector offer insights into the problems, that can already be solved by machine learning. The acatec course started at CeBIT 2017 on March 20th.
Week 1: Methods
Week 2: Tools
Week 3: Application fields
Further: Examples and legal aspects
Hands on Industry 4.0
We are at the dawn of the fourth industrial revolution – Industry 4.0. The internet of things (IoT) enters the factories and fundamentally changes our ways of work and production .
What does Industry 4.0 mean for employees and what for the labour of the future. How well are enterprises prepared for the industrial revolution? Which are the security issues in the interconnected production and which advice can experts give for our protection?
In acatec’s five week online course from April to May 2016 – a cooperation of the National Academy of Science and Engineering (acatec) and Hasso-Plattner-Institut – excellent scientists and business insiders provided answers and shed light on all aspects of the fourth revolution.
Week 1: The vision Industry 4.0
Week 2: The technological foundations of Industry 4.0
Week 3: Changes of labour and qualification
Week 4: Security
Week 5: Implementation in the factory