Would you like to feel confident when reading and using data? Then these courses are for you. Designed to take you from novice to Data Fluency, you will learn to confidently interpret and work with data both in your everyday and working life.

Data Fundamentals

Learn the fundamentals of how data is used, building your confidence in interpreting and using data.

What you will learn

8 modules covering:

  • Overview of data literacy
  • Data foundations
  • Data-informed decision making

Learn the fundamentals of data literacy

  • Complete in your own time.
  • Absolutely free.
  • Data literacy persona self-assessment available here.
Get started for free

Data Fluency

Learn the fundamentals and dig deeper, learning the process, and how to work with data both in your everyday life and within your organization.

What you will learn

20 modules covering:

  • All 8 modules included in the Data Fundamentals program
  • Analytical techniques
  • Advanced analytics

Become data fluent

  • Take one or more of our role-based, skills checks before Qlik training to get personalized recommendations, or after Qlik training to prove you’ve got what it takes.
  • Highly recognized Data Literacy Certification. Our comprehensive exam is made up of 70 multiple-choice questions.
  • $250 per seat, with volume packages available for large organizations.
Register & pay at Qlik.com

Courses and Modules

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Overview of Data Literacy

Why Analytics?

This introductory course is designed to help the users understand what analytics is and why it is important. The course also touches upon how Qlik is here to help users develop their analytical skills.

  • Understand what analytics is
  • Why it is important in the world today
  • Understand how it is applied in real world situations
  • Introduction into how Qlik is here to help in the analytical journey

Course time: 11 min

Free

A Culture of Data Literacy

This course is designed to help users gain an understanding of data literacy and culture, learn about these concepts and their roles in today's world of data, and help them understand why this information is important in the world today.

  • What the definition of data literacy is
  • What a data literacy culture is
  • How proper culture influences an organization
  • Steps to ensure your organization has the proper culture in place

Course time: 29 min

Free

Data Literacy Adoption

This module will discuss adopting a data literacy strategy and framework.

• Refresh your knowledge of data literacy
• Explore the key components to implement a data literacy program

Course time: 22 min

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Data Storytelling

This module explores data storytelling which allows one to bring to life or bring context to what could be seen as complicated: data and analytics.

• What data storytelling is
• Why data storytelling is important in the world today
• Tips to become better at data storytelling

Course time: 19 min

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Data Foundations

Understanding Data


This course is designed to help users gain an understanding of Data, learn about different types and attributes of data, and help them understand why this information is important in the world today.

• Gain an understanding of data
• Learn about the different types and attributes of data
• Understand why learning about data is important in the world of analytics today

Course time: 25 min

Free

Understanding Aggregations

This course is designed to help users gain an understanding of Data Aggregations, learn about different types of aggregations, and help them understand why this information is important in the world today.

• Learn what data and analytical aggregations are
• Learn about specific aggregation types like mean and median
• Understand why aggregations matter in the world of analytics today

Course time: 22 min

Free

Understanding Distributions

This course is designed to help users gain an understanding of Distributions, learn about distributions, and their part in analytics, and help them understand why this information is important in the world today.

• Understand the theory of distributions
• Learn the different types and characteristics of distributions
• Learn the importance to the world of analytics
• Explore standard deviation

Course time: 22 min

Free

Data-Informed Decision Making

Introduction to Data-Informed Decision Making

This module will introduce you to data-informed decision making.

• Explain what Data-Informed Decision Making is
• Explore how organizations can turn data into value
• Gain an understanding of skills and competencies required to properly leverage data

Course time: 32 min

Free

Data-Informed Decision-Making Framework

This module explores the data-informed decision making framework.

• Explain the steps to take when making a Data-Informed Decision
• Explore various modules and tools that can help with the decision-making process

Course time: 39 min

Free

Decision Making Analytic Techniques

This module focuses on the Analyze step in the Data-Driven Decision Making Framework to provide you with information about the various techniques you may use to make decisions.

• Understand various types of analytics available to decision makers
• Identify use cases where one or more of these techniques can be applied

Course time: 35 min

Free

Analytical Techniques

Understanding Signal and Noise

This course is designed to help users gain an understanding of what Signal and Noise are, what the concept is applicable in the world today, and a few skills to help the user improve in their analytical skill-set.

• Gain an understanding of signal and noise
• How it is applicable to analytics
• A few ways to improve your skill-set

Course time: 12 min

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Correlation and Causation

This course is designed to help users gain an understanding of correlation and causation, learn about these concepts and their roles in analytics, and help them understand why this information is important in the world today.

• Understand what correlation and causation are
• Why these topics are importance to analytics
• Importance of differentiating between the two concepts

Course time: 22 min

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Confidence Intervals

One of the most misinterpreted and misunderstood metrics out there are confidence intervals. You see confidence intervals often when working in the analytics world so gaining a deeper understanding on their purpose and power will be very helpful on strengthening and expanding your analytical development.

• Discovery the value of confidence intervals
• Interpret the meaning behind confidence intervals
• Understand the role of point and interval estimates

Course time: 9 min

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Hypothesis Testing


Hypothesis testing is an extremely powerful tool for conducting investigations and has been an invaluable tool in many fields from scientific research to industrial applications. This module explores this important topic.

• Understand how to formulate hypotheses sets
• Compute a basic one and two sample Z test statistic
• Understand the importance of P-values
• Correctly interpret requests with context

Course time: 25 min

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Advanced Analytics

Introduction to Data Science

This module will introduce the concept of Data Science.

• Explore the beginnings of Data Science
• Discuss definitions of Data Science
• Consider different industrial and academic applications
• Walk through the Data Science lifecycle
• Tips and cautions for making Data Science a part of your organization

Course time: 17 min

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Decision Tree Analysis

This course is designed to help users gain an understanding of decision trees, learn about this concept and its role in analytics, and help them understand why this information is important in the world today.

• Understand what decision tress are and how they function
• Explore why this topic is important to analytics
• Discover the difference between regression and classification trees
• Grasp the importance of differentiating between the two concepts

Course time: 17 min

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Simple Linear Regression Analysis

This course is designed to help users gain an understanding of Simple Linear Regression Analysis, learn about this concept and its role in analytics, and help them understand why this information is important in the world today.

• Understand what simple linear regression analysis is
• Why this topic is important to analytics
• Why simple linear regression analysis is important in the world today

Course time: 26 min

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Multiple Linear Regression Analysis

This module explores applying multiple variables to linear regression.

• Extend simple linear regression to multiple linear regression
• Discuss applications of multiple linear regressions
• Understand potential pitfalls of multiple linear regression
• Analyze a dataset with simple linear regressions techniques
• Employ the capabilities of the Advanced Analytics Toolbox to explore multiple linear regression

Course time: 44 min

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Analytical A/B Testing

This course is designed to help users gain an understanding of AB testing, learn about this concept and its role in analytics, and help them understand why this information is important in the world today.

• Understand what A/B testing is
• Why this topic is important to analytics
• Why A/B testing is important in the world today

Course time: 24 min

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Design of Experiments

This module will introduce the concept of Design of Experiments.

• Explore the history behind Design of Experiments
• Discuss the different components of designing experiments
• Learn the separation between observational studies and experiments
• Walk through the traditional design of experiments framework

Course time: 20 min

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Resources

Free course resources

Free materials to support you and your organization