IBM Cognos Training Courses in Finland

IBM Cognos Training Courses

Online or onsite, instructor-led live IBM Cognos training courses demonstrate through interactive hands-on practice how to use data analysis and generate reports with IBM Cognos.

IBM Cognos training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Finland onsite live IBM Cognos trainings can be carried out locally on customer premises or in NobleProg corporate training centers.

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IBM Cognos Course Outlines in Finland

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Finland (online or onsite) is aimed at intermediate-level data analysts who wish to understand the theoretical aspects of Cognos 11 and also learn how to use it effectively. By the end of this training, participants will be able to:
  • Understand the differences and enhancements in Cognos 11 compared to Cognos 10.
  • Utilize the improved data module and data management features for more efficient data handling.
  • Implement best practices for a smooth transition and optimal use of Cognos 11.
14 hours
This instructor-led, live training in Finland (online or onsite) is aimed at business analysts who wish to use IBM Cognos for data analysis and reporting. By the end of this training, participants will be able to:
  • Analyze and share insights about data.
  • Visualize business performance.
  • Use AI-assisted preparation to cleanse and combine data sources.
  • Uncover hidden patterns in data with IBM Cognos Analytics built in AI features.

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We are looking for a good mixture of IT and soft skills in Finland!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

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