Embarking on a journey to data fluency! To begin the course, you’ll learn what data fluency is and how it differs from data literacy. You’ll also discover the outcomes of data fluency and the required elements to achieve data fluency at individual and organizational levels.  

Understanding data fluency

The elements of data fluency

Data fluency versus literacy

The outcomes of data fluency

Discussions around data

Actions with data

Achieving data fluency

A supportive data ecosystem

Setting goals for data fluency

The Journey to Data Fluency

Individual data fluency encompasses the skills individuals need to have to effectively make data-driven decisions. In this chapter, you’ll learn how data-fluent individuals identify business problems with data, translate those problems into analytical questions, as well as how they work with data effectively, and communicate their findings to take action. 

Solving business problems with data

Identifying problems using KPIs

KPI trees in action!

Forming analytical questions

Exploring and describing data

Ensuring data quality

Effectively working with data

Leveraging analytical expertise

Analytics solutions in action

Collaboration best practices

Interpreting and communicating results

Practices for effective communication

Solving a problem with data

Data Fluent Individuals

In this chapter, you’ll dive deeper into the various elements that shape organizational data fluency. You’ll learn the behaviors present in a data-fluent culture as well as the power of a strong data ecosystem that supports data fluency including the data infrastructure, tools, and lastly, the processes and organizational structure.  

Cultivating a data-fluent culture

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Leaders promoting data-fluency

Shared data language and understanding

Data integration into everyday habits

Data habits in action!

A robust data Infrastructure

Data infrastructure terms

The elements enabling data infrastructure

Data standards section

Data governance section

It should not be covered

Data standards and governance practices

Enabling data tools & technologies

Benefits of BI tools

Tools and technologies

Selecting the right tool

Scalable processes & organization

Collaboration

Quality Control

Sharing of insights

Implementing processes for data fluency

Data Tools & Technologies

Data Infrastructure

Processes & Organization

Enabling the data ecosystem

Wrap-up

 Data Fluent Organization

Data is everywhere, and in today's data-driven world, being data-fluent is a necessity, not only for individuals but for organizations overall. Data fluency isn't just about understanding data; it's about the ability to work with and use data effectively to make data-driven decisions. This exciting conceptual course will equip you with unearth best practices and essential skills required for data fluency mastery!

You’ll start by learning the meaning of data fluency and its difference with data literacy You’ll also learn about the importance of data fluency in today’s world. You will be introduced to a framework on how to achieve data fluency; at the individual but also organizational levels!

Next, you’ll discover the behaviors of data-fluent individuals along with the skills they utilize from the first step of identifying business problems with data up to communicating insights effectively for decision-making.

You’ll finish by deep-diving into the elements of a data-fluent organization. You’ll discover the behaviors and habits of a data-fluent culture, and how to shape such culture. Lastly, you’ll learn how a strong ecosystem covering infrastructure, tools, and processes can enable organizational data fluency!


Data is everywhere, and in today's data-driven world, being data-fluent is a necessity, not only for individuals but for organizations overall. Data fluency isn't just about understanding data; it's about the ability to work with and use data effectively to make data-driven decisions. This exciting conceptual course will equip you with unearth best practices and essential skills required for data fluency mastery!
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<h2>What is Data Fluency?</h2>
You’ll start by learning the meaning of data fluency and its difference with data literacy You’ll also learn about the importance of data fluency in today’s world. You will be introduced to a framework on how to achieve data fluency; at the individual but also organizational levels!
<br><br>

<h2>Data fluent behaviors </h2>
Next, you’ll discover the behaviors of data-fluent individuals along with the skills they utilize from the first step of identifying business problems with data up to communicating insights effectively for decision-making.
<br><br>

<h2>Data fluent organisations</h2>
You’ll finish by deep-diving into the elements of a data-fluent organization. You’ll discover the behaviors and habits of a data-fluent culture, and how to shape such culture. Lastly, you’ll learn how a strong ecosystem covering infrastructure, tools, and processes can enable organizational data fluency!

Introduction to Data Literacy

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Data Fluency

Oliver, the data scientist, needs to develop a recommendation engine for personalized product suggestions based on user behavior

Liam, a data analyst, is retrieving customer data from the database for creating a customer segmentation report

Sophie, the Finance Manager, needs to analyze toy product line profitability, including revenue and cost calculations

As a data analyst, Emma needs to create a monthly sales dashboard to track revenue and analyze top-selling toy categories

Lucas, a data scientist, wants to push code changes from his machine learning model to a shared repository so that he can collaborate with his team

Selecting the right tool

Data Fluency

Ejercicio interactivo práctico