Category: Explain basic virtualization concepts

  • Platforma analityczna KNIME – szkolenie kompleksowe Training Course

    Overview KNIME is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with only minimal, programming. To […]

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  • Data Mining with Python Training Course

    Overview This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to implement more advanced data analytics techniques for data mining using Python. By the end of this training, participants will be able to: Understand important areas of data mining, including association rule mining, text sentiment analysis, automatic […]

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  • KNIME Analytics Platform for BI Training Course

    Overview KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform […]

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  • Foundation R Training Course

    Overview The objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data. Course Outline Basic overview of R and R Studio R overview R Studio Environment Windows Script Editor Window Data Environment Console Plots/Help/Packages Working with Data Introduction to vectors and matrices […]

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  • MonetDB Training Course

    Overview MonetDB is an open-source database that pioneered the column-store technology approach. In this instructor-led, live training, participants will learn how to use MonetDB and how to get the most value out of it. By the end of this training, participants will be able to: Understand MonetDB and its features Install and get started with […]

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  • Data Vault: Building a Scalable Data Warehouse Training Course

    Overview Data Vault Modeling is a database modeling technique that provides long-term historical storage of data that originates from multiple sources. A data vault stores a single version of the facts, or “all the data, all the time”. Its flexible, scalable, consistent and adaptable design encompasses the best aspects of 3rd normal form (3NF) and […]

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  • Data Visualization Training Course

    Overview This course is intended for engineers and decision makers working in data mining and knoweldge discovery. You will learn how to create effective plots and ways to present and represent your data in a way that will appeal to the decision makers and help them to understand hidden information. Requirements Some knowledge on data plotting […]

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  • Introductory R for Biologists Training Course

    Overview R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the […]

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  • Data Mining and Analysis Training Course

    Overview Objective: Delegates be able to analyse big data sets, extract patterns, choose the right variable impacting the results so that a new model is forecasted with predictive results. Course Outline Data preprocessing Data Cleaning Data integration and transformation Data reduction Discretization and concept hierarchy generation Statistical inference Probability distributions, Random variables, Central limit theorem […]

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  • Data Mining Training Course

    Overview Course can be provided with any tools, including free open-source data mining software and applications Requirements Fair knowledge about relational data structures, SQL Course Outline Introduction Data mining as the analysis step of the KDD process (“Knowledge Discovery in Databases”) Subfield of computer science Discovering patterns in large data sets Sources of methods Artificial […]

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