WrenAI for Product Teams: Conversational Analytics and Self-Service BIのトレーニングコース

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level participants who wish to master advanced data integration and visualization techniques in Looker Studio, and learn how to connect diverse data sources, design compelling dashboards, and automate reporting workflows to drive better business decisions.

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

• Connect and integrate multiple data sources into Looker Studio.
• Create custom metrics and calculated fields for tailored analysis.
• Design advanced visualizations, including interactive filters and charts.
• Automate reporting workflows for real-time data updates.
• Apply best practices for visual storytelling and report customization.

This instructor-led, live training in 日本 (online or onsite) is aimed at data scientists and data analysts who wish to learn how to use each tool in the developer tool palette in Alteryx Designer.

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

• Learn to use and configure all the tools in the developer tab.
• Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
• Learn how to use API tools to download and parse web data.
• Use Alteryx scripting tools, including Python and R.

This instructor-led, live training in 日本 (online or onsite) is aimed at data analysts who wish to use Alteryx for data processing and data visualization.

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

• Leverage Alteryx to improve business intelligence and business analytics.
• Perform ETL operations with zero code.
• Visualize data with a data analytical suite, such as Excel.

This instructor-led, live training in 日本 (online or onsite) is aimed at data scientists who wish to use Alteryx for data analysis.

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

• Prepare data in Alteryx to later visualize in Power BI or Excel.
• Create and Perform ETL operations with little to no code.
• Embed custom R code inside Alteryx.

This instructor-led, live training in 日本 (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.

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、初心者から上級レベルまでのコンサルタントや財務プロフェッショナルを対象としており、Cognos Analytics認定試験に備え、勘定払いや資金管理、経費などの財務データ分析の専門知識を身につけ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 Able to できます:

• Cognos Analyticsインターフェースを効率的にナビゲートし、活用する。
• 財務レポートとダッシュボードを開発し、カスタマイズする。
• データモデルを管理し、クエリを最適化する。
• Cognos Analytics認定試験に備える。

This instructor-led, live training in 日本 (online or onsite) is aimed at data scientists who wish to use Alteryx to prepare data for visualization and analysis.

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

• Preapre data with Alteryx to visualize later.
• Perform ETL operations with zero code.
• Leverage Alteryx to improve business intelligence and business analytics.

This instructor-led, live training in 日本 (online or onsite) is aimed at intermediate-level data professionals who wish to implement a lakehouse solution using Microsoft Fabric.

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

• Understand the architecture and components of Microsoft Fabric.
• Configure and manage a Lakehouse using Microsoft Fabric.
• Ingest and transform data using Apache Spark.
• Utilize Delta Lake tables for versioning and managing data.
• Implement data ingestion pipelines with Dataflows Gen2.
• Orchestrate data pipelines using Data Factory.

This instructor-led, live training in 日本 (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to enhance their productivity and efficiency by leveraging the advanced features of Excel and Google Sheets for data organization, analysis, and collaboration.

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

• Navigate and utilize the core features of Excel and Google Sheets.
• Perform data analysis and create actionable insights using advanced spreadsheet techniques.
• Collaborate in real-time using Google Sheets for seamless teamwork.
• Create reusable templates for reporting, tracking, and project management.

This instructor-led, live training in 日本 (online or onsite) is aimed at data analysts who wish to use Google Sheets for data analysis.

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

• Build spreadsheets with Google Sheets.
• Use formulas that work both in Google Sheets and Excel.
• Format and analyze any data.
• Create data visualizations with charts and graphs.

Google Sheets is a powerful cloud-based spreadsheet tool that supports real-time collaboration, data organization, and analysis.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to maximize their efficiency and collaboration using Google Sheets’ advanced features.

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

• Navigate and utilize the key features of Google Sheets.
• Manage and organize data efficiently using filters, sorting, and formatting tools.
• Apply essential and advanced formulas for business scenarios.
• Create charts, dashboards, and reusable templates for reporting and collaboration.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises and practice in Google Sheets.
• Real-world examples and collaborative activities.

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 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.

This instructor-led, live training in 日本 (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to build foundational skills for data visualization and reporting using Looker Studio, and learn how to connect data sources, visualize information effectively, and gain actionable insights.

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

• Understand the core features of Looker Studio and its use cases.
• Set up Looker Studio and connect to various data sources.
• Create engaging dashboards with charts, graphs, and filters.
• Customize reports for specific audiences and business needs.
• Collaborate on and share dashboards effectively.

This instructor-led, live training in 日本 (online or onsite) is aimed at data analysts and data scientists who wish to use Metabase to collect, query, and visualize data for business intelligence analysis and reporting.

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

• Set up and install Metabase to start building data visualizations and dashboards.
• Learn how to query, aggregate, and visualize data in Metabase.
• Use the features and tools in Metabase to write SQL queries.
• Build analytics charts and dashboards to get business insights.
• Know the best practices and tips on using Metabase and resolving common issues.

Microsoft Fabric is a unified analytics platform that brings together data engineering, data integration, data warehousing, data science, real-time analytics, and business intelligence under one umbrella.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to leverage Microsoft Fabric to build modern data solutions with integrated analytics, governance, and visualization tools.

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

• Understand the components of Microsoft Fabric and how they integrate with the Microsoft ecosystem.
• Create and manage Fabric Workspaces with proper access control.
• Build and manage Lakehouses to centralize and analyze data.
• Use notebooks for exploratory analysis and transformation using Python and SQL.
• Create and automate data flows using visual pipelines.
• Model and manage data using the Data Warehouse and Semantic Model layers.
• Design and publish interactive dashboards with Power BI in Fabric.

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.