日本のデータ分析トレーニング

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

By the end of this training, participants will be able to:

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

Stratio is a data-centric platform that integrates big data, AI, and governance into a single solution. Its Rocket and Intelligence modules enable rapid data exploration, transformation, and advanced analytics in enterprise environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to use the Rocket and Intelligence modules in Stratio effectively with PySpark, focusing on looping structures, user-defined functions, and advanced data logic.

By the end of this training, participants will be able to:

• Navigate and work within the Stratio platform using Rocket and Intelligence modules.
• Apply PySpark in the context of data ingestion, transformation, and analysis.
• Use loops and conditional logic to control data workflows and feature engineering tasks.
• Create and manage user-defined functions (UDFs) for reusable data operations in PySpark.

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, please contact us to arrange.

Making Data-Informed Decisions is the practice of integrating relevant data, evidence, and analysis into the decision-making process to improve public sector outcomes and accountability.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in using data for decision-making who design, evaluate, or manage government programs and wish to enhance their ability to interpret, validate, and apply data to real-world decisions.

By the end of this training, participants will be able to:

• Understand what it means to be data-informed (versus data-driven or intuition-based).
• Identify and assess data relevant to a policy or service context.
• Ask better questions of data analysts and interpret dashboards and reports effectively.
• Apply data to justify, refine, or defend decisions in public service contexts.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of decision scenarios, data sets, and mock policy briefs.
• Guided exercises focused on practical decision-making use cases.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab.

By the end of this training, participants will be able to:

• Understand the fundamentals of time series analysis.
• Use Google Colab to work with time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting results.

Digital Intelligence is the ability to understand and leverage digital tools, data, and systems to make informed decisions in the context of public service delivery and governance.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in digital intelligence who work with data, digital tools, or service performance metrics and wish to strengthen their ability to analyze, interpret, and apply information for better decision-making.

By the end of this training, participants will be able to:

• Understand the foundations of digital intelligence and how it applies to public sector work.
• Use digital tools to collect, visualize, and communicate actionable insights.
• Assess the digital maturity of their own team or department.
• Build a roadmap for enhancing digital capacity and data-driven practices.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of digital tools and dashboard mockups.
• Guided exercises focused on real-world public service use cases.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

Storytelling with Data is the practice of using visual and narrative techniques to transform complex datasets into clear, compelling stories that inform and inspire action.

This instructor-led, live training (online or onsite) is aimed at public sector professionals who work with data and have limited or informal training in data storytelling, and who wish to enhance their ability to present data clearly and persuasively through narrative and visuals.

By the end of this training, participants will be able to:

• Transform raw data into impactful visual stories.
• Use chart selection and layout to support key messages.
• Structure data narratives that align with audience needs.
• Apply best practices for visual clarity and cognitive impact.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of storytelling techniques in data presentations.
• Guided exercises focused on clarity, visual flow, and audience impact.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

Participants who complete this instructor-led, live training in 日本 will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.

Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.

The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.

ArcGIS Professional Plus is an advanced version of ArcGIS Pro, offering extended features for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

This instructor-led, live training (online or onsite) is aimed at intermediate-level GIS professionals who wish to deepen their skills in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

By the end of this training, participants will be able to:

• Leverage ArcGIS Pro Plus tools for data visualization and analysis.
• Create 2D and 3D maps with advanced symbology and geoprocessing techniques.
• Automate workflows using ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

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, please contact us to arrange.

This instructor-led, live training in 日本 (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud.

By the end of this training, participants will be able to:

• Create and manage projects on dbt Cloud.
• Use the dbt Cloud interface to schedule and run data transformations.
• Collaborate on projects with team members.
• Deploy their dbt projects to production.
• Debug and troubleshoot dbt projects.

This instructor-led, live training in 日本 (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

By the end of this training, participants will be able to:

• Navigate and utilize ArcGIS tools for geospatial data management.
• Create and customize maps with layers and attributes.
• Perform advanced spatial analysis and geoprocessing tasks.
• Automate workflows using ModelBuilder and Python.

この講師主導のライブトレーニング（オンラインまたはオンサイト）は、データエンジニアとアナリスト向けに設計されており、初心者から中級レベルの知識を持つことで AWS Glue を使用してデータパイプラインを設定する方法を学ぶことができます。

このトレーニング終了時には、参加者は以下のことをできるようになります：

• AWS Glue の基本を理解する
• AWS Glue パイプラインを設定する
• AWS Glue クローラーとジョブを設定する
• AWS Glue トランスフォーメーションを使用する方法を学ぶ

この講師主導のライブトレーニング（オンラインまたはオンサイト）は、高度な GIS プロフェッショナル向けであり、ArcGIS Pro を使用して空間分析能力を向上させ、包括的な地統計解析を行い、先進的3Dモデリング技術を適用して実世界シナリオでの意思決定と問題解決の効果性を高めることを目指しています。

このトレーニング終了時には、参加者は以下のことができます:

• ArcGIS Pro を使用した高度な空間分析技術を開発する。
• Python スクリプティングを使用して自動化と複雑なデータ処理を行う。
• 実世界シナリオでの問題解決に空間モデリングを適用する。
• 高度なデータ解釈のための地統計解析を行う。
• 外部データソースを統合し、3D 空間データ分析を利用する。

This instructor-led, live training in 日本 (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

By the end of this training, participants will be able to:

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led, live training in 日本 (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

By the end of this training, participants will be able to:

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

この講師主導型の実践的なトレーニング（オンラインまたはオンサイト）は、初級レベルの IT サポート担当者が ArcGIS Enterprise を堅牢にサポートし、効果的に異常や障害に対処することを目指しています。

本トレーニング終了時には、参加者は以下のことをできるようになります：

• ArcGIS Enterprise のアーキテクチャとコンポーネントを理解する
• ArcGIS Enterprise をインストール、設定、管理する方法を学ぶ
• 一般的な問題のトラブルシューティングと解決スキルを身につける
• ArcGIS Enterprise 環境の監視と維持に関する技術力を向上させる
• バックアップ、復旧、パフォーマンス最適化のテクニックをマスターする

この講師主導のライブトレーニング（オンラインまたはオンサイト）は、TM1を使用してデータベース内のデータを分析し、レポートやテンプレートをカスタマイズしたいアナリスト向けです。

本トレーニング終了時には、参加者は以下のことが Able to できます：

• IBM Planning Analyticsを使用してデータを分析する方法を学びます。
• データベース内のデータのカスタムビューを作成します。
• TM1と通信するレポートやフォームを作成します。

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、中級レベルのデータエンジニアを対象としており、Azure Synapse Analyticsを使用して広範なデータ処理、分析、および可視化に習熟することを目指しています。

このトレーニング終了時には、参加者は以下のことができます：

• Azure Synapse Analyticsの基本概念、アーキテクチャ、およびコンポーネントを理解する。
• Azure Synapseを使用してスケーラブルなデータウェアハウスを作成、構成、および管理する。
• さまざまなソースからAzure Synapseにデータを取り込み、変換し、ロード（ETL）する技術を習得する。
• クエリ性能を最適化し、データを保護し、Power BIやその他のツールと統合してデータの可視化と洞察の共有を行う。

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions.

By the end of this training, participants will be able to:

• Understand the concept and importance of Analytic Functions.
• Apply various Analytic Functions to solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for better performance using Analytic Functions.

This instructor-led, live training in 日本 (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.

By the end of this training, participants will be able to:

• Understand the basic concepts of GIS and spatial data.
• Navigate the ArcGIS interface.
• Create and manage spatial data.
• Perform basic spatial analysis.
• Create maps and visualizations.

This instructor-led, live training in 日本 (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines.

By the end of this training, participants will be able to:

• Install and configure MongoDB for data analysis.
• Understand the concepts and stages of the MongoDB Aggregation Framework.
• Learn about the basic structure, syntax, and operations for aggregation.
• Learn how to handle advanced operations in aggregation.
• Apply some optimization tools and techniques to improve aggregation performance.

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、Python を使用して ArcGIS および QGIS 環境でのジオ空間分析を行う初心者の地球科学者やエンジニア向けです。

このトレーニングを終了すると、参加者は以下のことができるようになります：

• ジオ空間タスクを効率的に実行するための Python の文法と制御構造を学ぶ。
• Pandas、Numpy、Matplotlib を使用して GIS でのデータ分析と可視化を行う。
• Geopandas、Arcpy、PyQGIS ライブラリを使用してベクトルデータを操作および分析する。
• Python スクリプトを使用して ArcGIS と QGIS のジオ空間プロセスとワークフローを自動化する。
• タスクの効率化のために ArcGIS および QGIS 用のカスタム Python ベースのジオ処理ツールを開発する。

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for collecting, organizing, managing, and analyzing geographic information.

By the end of this training, participants will be able to:

• Understand the fundamentals of ArcMap and ArcGIS.
• Collect, organize, manage, and analyze geographic information on the social and archaeological elements.
• Conduct spatial queries for impact evaluation.

Big Data and Advanced Analytics is the application of sophisticated techniques and tools to analyze large, complex datasets for actionable insights and strategic decision-making.

This instructor-led, live training (online or onsite) is aimed at advanced-level data professionals who wish to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

By the end of this training, participants will be able to:

• Design and implement large-scale data processing pipelines for structured and unstructured data.
• Apply advanced machine learning and deep learning techniques to massive datasets.
• Leverage distributed computing frameworks for real-time analytics and data streaming.
• Integrate big data analytics into business intelligence and decision-making systems.

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, please contact us to arrange.

The aim of the course in 日本 is to help delegates to give evidence-based answers to questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.

By the end of this training, participants will be able to:

• Apply advanced spatial analysis techniques to solve complex geographical problems.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualizations for various applications.
• Utilize programming and automation to streamline GIS workflows.

This instructor-led, live training in 日本 (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler to perform data mining activities.

By the end of this training, participants will be able to:

• Understand the fundamentals of data mining.
• Learn how to import and assess data quality with the Modeler.
• Develop, deploy, and evaluate data models efficiently.

Participants who complete this instructor-led, live training in 日本 will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.

Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.

The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.

R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries and advanced concepts. Advanced data analytics and graphing with real world data.

Audience

Developers / data analytics

Duration

3 days

Format

Lectures and Hands-on

Audience

Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel.

Course Objectives

This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research.

This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.

Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions: 

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.

This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.

This instructor-led, live training (online or onsite) is aimed at HR professionals who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in 日本 (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions.

By the end of this training, participants will be able to:

• Install and configure Cloud Pak for Data.
• Unify the collection, organization and analysis of data.
• Integrate Cloud Pak for Data with a variety of services to solve common business problems.
• Implement workflows for collaborating with team members on the development of an AI solution.

In this instructor-led, live training in 日本 (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.

By the end of this training, participants will be able to:

• Install and configure packages for integrating Python and Excel.
• Read, write, and manipulate Excel files using Python.
• Call Python functions from Excel.

This instructor-led, live training in 日本 (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

By the end of this training, participants will be able to:

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、開発者や管理者を対象としており、統合されたセキュアなシステムで分散検索とデータ分析を行うためのOpenSearchの使用方法を学びます。

本トレーニング終了時には、参加者は以下のことが可能です：

• OpenSearchとOpenSearch Dashboardsを使用して検索および分析ソリューションの開発環境を設定します。
• Elasticsearch OSSからOpenSearchへの移行方法（スナップショット、再起動、ローリングアップグレード）の3つのアプローチを理解します。
• OpenSearchでデータのインデックス化、データストリーム作成、クエリ実行、およびクラスタ間操作の効率化方法を学びます。
• プラグイン、API、クライアント、取り込みツール（Beats, Logstash, Grafanaなど）を使用して検索体験を最適化しながらクラスタのセキュリティを維持する方法を探ります。
• OpenSearch Dashboardsを使用してデータ管理、可視化、ログ、監視、およびメンテナンスを一元化します。

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、売上データ、トラフィック分析、顧客とのやり取りなどの数字を処理するためにPythonの基本を学びたい方を対象としています。

このトレーニングの終了時には、参加者は以下のことができるようになります：

• データ分析に必要なソフトウェア、ライブラリ、開発環境をインストールおよび構成して、Pythonコードの書き始めます。
• Excel、CSV、JSONファイル、データベースなどからのデータを分析します。
• 分析前のデータをクリーニングして有用性を向上させます。
• 簡単な統計分析を行います。
• 表からチャート、グラフ、テーブルに至るまで、必要な形式で望むデータを提示するレポートを生成します。
• パフォーマンスの傾向や問題点を明らかにする貴重な洞察を得ます。

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、Daskを使用してPythonエコシステムで大規模データセットの構築、スケーリング、分析を行うことを目指すデータサイエンティストやソフトウェアエンジニアを対象としています。

このトレーニングの終了時、参加者は以下のことができるようになります：

• DaskとPythonを使用して大規模データ処理の環境をセットアップする。
• Daskで利用可能な機能、ライブラリ、ツール、APIを探索する。
• DaskがどのようにPythonでの並列計算を加速するかを理解する。
• Numpy、SciPy、Pandasを使用したPythonエコシステムのスケーリング方法を学ぶ。
• 大規模データセットの処理においてDask環境を最適化して高性能を維持する。

このコースの目的は、Oracle、SQL Server、MS Access などの異なるデータベースで SQL を使用する際の明確な理解を提供することです。解析関数の理解とデータベース内の複数テーブルを結合する方法を学ぶことで、委員会は MS Excel アプリケーションではなく、データ分析操作をデータベース側に移行することができます。これにより、どのリレーショナルデータベースを使用するかに関わらず、任意の IT システムの作成にも役立ちます。

This instructor-led, live training in 日本 (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.

By the end of this training, participants will be able to:

• Output spatial data as visualizations.
• Conduct geostatics on actual data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

By the end of this training, participants will be able to:

• Understanding GIS concepts and spatial data types using the latest version of ArcGIS Pro.
• Investigate the user interface and evaluate the uses
• Explore ArcGIS* Pro and how to utilize online content
• Manage, manipulate and analyze your own data
• Display and share your data in a meaningful and creative way

Note: We will use the latest version of ArcGIS Pro.

This instructor-led, live training in 日本 (online or onsite) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes.

By the end of this training, participants will be able to:

• Build GIS applications using Python and ArcGIS tools.
• Develop with the ArcGIS package ArcPy, using Python.
• Apply the ArcGIS modules for map automation using object classes in Python.

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、データクリーニングと処理を効果的に行いたいデータサイエンティスト、データアナリスト、ビジネスアナリスト向けです。

このトレーニングの終了時には、参加者は以下のことをできるようになります：

• 効果的なデータクリーニング戦略を開発する。
• データクリーニングに役立つツールを実装する。
• より効率的に結果を得る。
• データクリーニングのベストプラクティスを学び、適用する。

This instructor-led, live training in 日本 (online or onsite) is aimed at developers who wish to enhance their website or web application by adding geo-location functionality through Google Maps.

By the end of this training, participants will be able to:

• Embed a map into a new or existing website or web application.
• Display live data that synchs with current location.
• Create a mashup that includes Google Maps.
• Apply good CSS and JavaScript coding practices
• Create a custom map for an application.

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.

The "KNIME Analytical Platform" training offers a comprehensive overview of this free data analysis platform. The program covers an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, methodologies for creating business models and data modeling. The course also discusses advanced data analysis tools, workflow import and export, tool integration, ETL processes, data exploration, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, Neo4j. The conclusion includes a discussion on reporting, integration with BIRT, and the KNIME WebPortal.

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、KNIMEでPythonとRをプログラミングしたいデータサイエンティスト向けです。

本トレーニング終了時には、参加者は以下のことができます：

• KNIMEで機械学習モデルを計画、構築、および展開する。
• 操作のためにデータに基づいた意思決定を行う。
• 端から端までのデータサイエンスプロジェクトを実装する。

This instructor-led, live training in 日本 (online or onsite) is aimed at data analysts who wish to use LibreOffice Calc to conduct many forms of data analysis (from basic to advanced), leveraging similar functionalities found in Excel and other spreadsheet software.

By the end of this training, participants will be able to:

• Install the LibreOffice suite on any operating system.
• Understand the full features and functionalities available in LibreOffice Calc.
• Learn how to clean, validate, manipulate, and visualize data in Calc.
• Apply the various functions and tools in Calc to perform complex data analysis.
• Gain some tips and insights on conducting advanced data analysis.

A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.

This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.

この講師主導のライブトレーニング（オンラインまたはオンサイト）は、TIBCO Spotfire Xの人工知能機能を使用してデータを可視化、変換、分析することを目指すビジネスアナリストとデータアナリスト向けです。

このトレーニング終了時には、参加者は以下ができます：

• TIBCO Spotfire Xをインストールおよび構成する。
• TIBCO Spotfire Xの機能とアーキテクチャを理解する。
• 拡張アナリティクスと予測アナリティクスの概念を理解する。
• Spotfire Xを使用してデータをロード、処理、可視化する方法を学ぶ。
• インタラクティブで高度なデータ可視化を作成する。