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Data Analytics Implementation Training Series

Formats ⟩  Live Virtual: 4 hrs./day, 4 Days  |  In-Person: 6 hrs./day, 4 Days

This 4-day data series combines our data analytics implementation courses—Data Analytics for Building a Data Culture, Data Analytics for Informed Decision-Making, and The Data Analytic Project —into a comprehensive roadmap for implementing data analytics into your organizational culture. You will apply insights into the critical components of modern data culture and understand the significance of data in organizational contexts. You will learn to enhance data-informed decision-making capabilities and leverage data for strategic decision-making. You will learn the essential elements of a data analysis project, including problem identification, data collection, and analysis methods.

Learning Objectives »

  • Understand the characteristics of organizational data culture.
  • Develop data culture and data literacy.
  • Utilize a strategic approach for operational efficiency.
  • Understand data-informed and data-driven decision-making.
  • Incorporate data culture into strategic decision-making.
  • Master tools for data-informed and data-driven decision-making.
  • Identify the critical components of a data analysis project.
  • Navigate the data analysis project lifecycle.
  • Employ data visualization techniques.
  • How to create a compelling data narrative.
  • Create goals and a vision for data analysis and decision-making.

Course Agenda

Data Analytics for Building a Data Culture (1 Day)

  1. Introduction to Data Culture
  2. Fostering A Data-Centric Environment
  3. Critical Components of a Data Culture
  4. Developing Operational Efficiency

Data Analytics for Informed Decision-Making (1 Day)

  1. Data-Informed vs. Data-Driven
  2. Changing Perspectives on Data
  3. Building a Decision-Making Toolbox
  4. Implementing Data Decisions

The Data Analytics Project (2 Days)

  1. Collaborative Analytics Foundation
  2. The Data Project Workflow
  3. Questions and Stories
  4. The Basics of Data Analytics
  5. Data Projects
  6. Crafting Your Data Story
A gathering of corporate professionals convening around a table to analyze data analytics and examine graphical representations.

Data Analytics Implementation Training Series

Formats ⟩  Live Virtual: 4 hrs./day, 4 Days  |  In-Person: 6 hrs./day, 4 Days

This 4-day data series combines our data analytics implementation courses—Data Analytics for Building a Data Culture, Data Analytics for Informed Decision-Making, and The Data Analytic Project —into a comprehensive roadmap for implementing data analytics into your organizational culture. You will apply insights into the critical components of modern data culture and understand the significance of data in organizational contexts. You will learn to enhance data-informed decision-making capabilities and leverage data for strategic decision-making. You will learn the essential elements of a data analysis project, including problem identification, data collection, and analysis methods.

Learning Objectives »

  • Understand the characteristics of organizational data culture.
  • Develop data culture and data literacy.
  • Utilize a strategic approach for operational efficiency.
  • Understand data-informed and data-driven decision-making.
  • Incorporate data culture into strategic decision-making.
  • Master tools for data-informed and data-driven decision-making.
  • Identify the critical components of a data analysis project.
  • Navigate the data analysis project lifecycle.
  • Employ data visualization techniques.
  • How to create a compelling data narrative.
  • Create goals and a vision for data analysis and decision-making.

Course Agenda

Data Analytics for Building a Data Culture (1 Day)

  1. Introduction to Data Culture
  2. Fostering A Data-Centric Environment
  3. Critical Components of a Data Culture
  4. Developing Operational Efficiency

Data Analytics for Informed Decision-Making (1 Day)

  1. Data-Informed vs. Data-Driven
  2. Changing Perspectives on Data
  3. Building a Decision-Making Toolbox
  4. Implementing Data Decisions

The Data Analytics Project (2 Days)

  1. Collaborative Analytics Foundation
  2. The Data Project Workflow
  3. Questions and Stories
  4. The Basics of Data Analytics
  5. Data Projects
  6. Crafting Your Data Story
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