KNIME培訓

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KNIME培訓

當地教師指導的KNIME現場直播培訓課程台灣 。

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KNIME課程大綱

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課程名稱
課程時長
概觀

KNIME Analytics Platform for BI

21小時
KNIME Analytics Platform是數據驅動創新的領先開源選項，可幫助您發現隱藏在數據中的潛力，挖掘新的見解或預測新的未來。 KNIME Analytics Platform擁有1000多個模塊，數百個可立即運行的示例，全面的集成工具以及最廣泛的高級算法選擇，是任何數據科學家和業務分析師的理想工具箱。 KNIME分析平台的這門課程是向KNIME介紹初學者，高級用戶和KNIME專家的理想機會，學習如何更有效地使用它，以及如何基於KNIME工作流程創建清晰，全面的報告

Platforma analityczna KNIME - szkolenie kompleksowe

35小時
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 some extent as advanced analytics tool KNIME can be considered as a SAS alternative. Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas like CRM customer data analysis, business intelligence and financial data analysis.

KNIME with Python and R for Machine Learning

14小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME. By the end of this training, participants will be able to:
  • Plan, build, and deploy machine learning models in KNIME.
  • Make data driven decisions for operations.
  • Implement end to end data science projects.

Data Science with KNIME Analytics Platform

21小時
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 is the perfect toolbox for any data scientist and business analyst. This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows This instructor-led, live training (online or onsite) is aimed at data professionals who wish to use KNIME to solve complex business needs. It is targeted for the audience that doesn't know programming and intends to use cutting edge tools to implement analytics scenarios By the end of this training, participants will be able to:
  • Install and configure KNIME.
  • Build Data Science scenarios
  • Train, test and validate models
  • Implement end to end value chain of data science models
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course or to know more on this program, please contact us to arrange.

Data Science Implementation Management using KNIME Server

14小時
KNIME Server is the enterprise software for team-based collaboration, automation, management, and deployment of data science workflows as analytical applications and services. By the end of this training, participants will be able to:
  • Schedule analytics workflows to run automatically and give yourself more time to focus on data science.
  • Control workflows to automate model management
  • Scale and pin workflow execution with well provisioned, high performance server architecture which is configured to your specifications.
  • Design, edit, and execute workflows on KNIME Server using the remote workflow editor and take advantage of well provisioned hardware in a secure environment.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course or to know more on this program, please contact us to arrange.

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Online新竹台中市台北

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