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Overview of Data Literacy

Why Analytics?

Learn about what analytics is, why it is important in today’s world and how it can be applied to workplace situations.

Course time: 15 min

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A Culture of Data Literacy

Learn what data literacy is, what defines a data literate culture and how it influences an organization.

Course time: 40 min

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Data Literacy Adoption

Learn how to implement a data literacy program and discover what the key components of data literacy are.

Course time: 40 min

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Data Storytelling

Learn what data storytelling is, why it is important in the world today and how you can improve your own storytelling skills. 

Course time: 35 min

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Data Fundamentals

Understanding Data

Learn why data is important and discover the different types and attributes of data that exist.

Course time: 35 min

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Understanding Aggregations

Learn what data and analytical aggregations are - specific types like mean and median - and why they matter. 

Course time: 45 min

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Understanding Distributions

Learn what distributions are – the types and characteristics - and why they matter.

Course time: 45 min

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Foundational Analytics

Understanding Signal and Noise

Learn the principles of signal and noise and understand how they can strengthen your skill-set.

Course time: 15 min

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Correlation and Causation

Learn what correlation and causation are and why differentiation between the two concepts is important.

Course time: 40 min

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Confidence Intervals

Learn the role of point and interval estimates and how to interpret the meaning behind confidence intervals. 

Course time: 20 min

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Analytical A/B Testing

Learn what A/B testing is, why it is important
and when to use it. 

Course time: 40 min

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Simple Linear Regression Analysis

Learn what simple linear regression analysis is and why this topic is important to your analytics program.

Course time: 40 min

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Hypothesis Testing

 To learn how to formulate hypotheses sets and how to correctly interpret results with context.

Course time: 35 min

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Data-Informed Decision Making

Introduction to Data-Informed Decision Making

Learn the skills and competencies required to properly leverage data and turn it into value for your organization. 

Course time: 60 min

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Data-Informed Decision-Making Framework

Learn why a data-informed decision-making framework is needed, how it can help your organization and the steps you need to take to get started. 

Course time: 70 min

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Decision Making Analytic Techniques

Learn about the types of analytics available to decision makers and how they can be applied day-to-day.

Course time: 60 min

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Advanced Analytics

Decision Tree Analysis

Learn how to tell the difference between regression and classification trees and why both concepts are important.

Course time: 30 min

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Advanced Analytics Integration with Qlik Sense

Learn the basics behind Advanced Analytics Integration (AAI) and how to integrate Python into a BI tool, Qlik Sense, with a follow-along demonstration. 

Course time: 120 min

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Multiple Linear Regression Analysis

Learn how to analyze a dataset with multiple linear regression techniques and its applications.

Course time: 75 min

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RESOURCES

FOR MY ORGANIZATION

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The Data Literacy Index

The $500m Enterprise Value Opportunity
Report – powered by Qlik

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How to Drive Data Literacy in the Enterprise

Report – powered by Qlik

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Developing a Data Literate Workforce

Report – powered by Qlik

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6 Step Guide to Launch a Data Literacy Initiative

Report – powered by Qlik

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A Data Powered Future

Whitepaper – powered by Experian

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Embracing the Data Challenge in a Digitalized World

Research – powered by Experian

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Retailers and the data literacy opportunity

Perspective – powered by Qlik

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Why financial services need to keep up with the data literacy pace

Perspective - powered by Qlik

FOR MYSELF

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Millennials Guide to
Data Literacy

Report – powered by Qlik

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The fight for power in the Fourth Industrial Revolution

Perspective – powered by Qlik

JAPANESE RESOURSES - 各種資料（日本語）

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データ リテラシー指標 5 億ドルの企業価値を獲得する機会 調査結果の要約

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データ リテラシーを 備えた従業員の育成 企業の戦略とフレームワーク

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データ リテラシー イニシアチブを開始する ための6段階のアプローチ

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