Data Literacy Additional Resources
We've gathered a collection of resources to augment your data literacy learning. The resources correspond with the various sections of Data Literacy Body of Knowledge.
Introduction to Data Literacy
The Data Literacy Imperative - Part I: Building a Data Literacy Program
The Data Literacy Imperative - Part II: The Data Literacy Body of Knowledge
The Data Literacy Imperative - Part III: Data Literacy Assessment
The Data Literacy Imperative - Part IV: Developing Data Literacy
Data Fundamentals
Difference Between Data And Information
The Difference Between Operational and Analytical Data Systems
6 Major Benefits of Open Data
What is Open Data?
Data Veracity: a New Key to Big Data
What is the difference between structured and unstructured data?
What’s The Difference Between Structured, Semi-Structured And Unstructured Data?
Qualitative and Quantitative Data
Discrete and Continuous Data
Database Fundamentals
A quick introduction to XML and JSON
Spreadsheet Basic
Excel Formulas and Functions Tutorial
How to Create Macros in Excel Tutorial
Pivot Table Excel Tutorial
Excel: Managing Workbooks and Worksheets
Understanding Relational Databases
Learn SQL in 1 Hour - SQL Basics for Beginners
What are Dimensions and Measures?
What is OLAP?
What is NoSQL?
What is a Graph Database?
Managing Data Knowledge
What is Metadata and Why is it as Important as the Data Itself
All You Need to Know About Metadata
Managing Metadata in the Self-Service Age
An Architectural View of Metadata Management
What is Metadata Management?
Introduction to Data Catalogs
What is a Data Catalog?
How to Succeed with a Data Catalog
Data Catalogs vs. Metadata Management: Key Differences?
The Business Case for an Enterprise Data Catalog
Choosing a Data Catalog
The Future of Data Cataloging
Data Governance
What is Data Governance?
What is Data Governance? How Does it Impact Businesses?
A Best Practices Guide for Data Retention Policies
Data Retention 101: Policies and Best Practices
Guidelines for Developing your Data Retention Policy
What Is Data Risk Management?
Making Data Risk a Top Priority
Data Valuation — What is Your Data Worth and How do You Value it?
Data Valuation: the Holy Grail
Data Security in the Time of Remote Workers
Data Security and Privacy in Cloud Computing
Database Auditing Capabilities for Compliance and Security
Data Security vs Data Privacy
Optimizing Privacy Management through Data Governance – Part I: Understanding Personal Data
Optimizing Privacy Management through Data Governance – Part II: Building Alignment
Optimizing Privacy Management through Data Governance - Part III: Maintaining Awareness
Optimizing Privacy Management through Data Governance – Part IV: Supporting with Technology
Optimizing Privacy Management through Data Governance – Part V: Measuring Success
GDPR Executive Summary: What You Need to Know
GDPR Reference Guide: All 99 Articles in 25 Minutes
A Data Quality Framework for Big Data
Data Quality: Critical For Building Trust
Jason Beard: Data Quality through Process Improvement
A Guide to Hybrid Integration Platforms: Five Must-Have Capabilities for Hybrid Integration
The Data Mesh: Re-Thinking Data Integration
Automating Metadata Management Through Data Catalogs
Expanding Role of Data Governance, Metadata Management, and Data Quality
Business Glossary and Metadata: Small Teams Data Governance
Modern Data Governance: Strategies for Data Policies that Stick
What Is Data Curation?
What Is a Data Catalog?
7 Principles Of Data Quality Management
Main Responsibilities Of A Data Steward
Data Ethics – The New Data Governance Challenge
Managing Ethics in Business Intelligence
The Tribal Knowledge Problem
Data Resource Consolidation
Data as a Resource: Properties, Implications, and Prescriptions
What is Data Consolidation?
Operational Data Architecture
Operational Data Hub – Responding to Data Friction and Technical Debt
Defining the ‘Disparate’ in Disparate Data
3 Ways Disparate Data Processes Could Cost You
Managing the Data Resource
Real Data Warehouse?
Data Warehousing is Still Alive
Data Warehouses: Dead or Alive? Maybe Just Reinvented
Data Warehousing in the 21st Century
Data Warehouse Design – Inmon versus Kimball
Data Lakes Are Cool, But You Still Need A Data Warehouse
What is a Data Lake?
Modernizing Data Management Architecture
Data Lake Architecture: Data Lake vs Data Warehouse in Modern Data Management
Data Lake vs. Warehouse vs. Mart: What's the Difference?
Data Lake VS Data Warehouse
Beginners Guide to Master Data Management (MDM)
What is Master Data Management?
What is Master Data Management (MDM)?
4 Common Master Data Management Implementation Styles
Why Modern Data Integration?
Data Integration 101: What It Means and Why It’s Important
Day in the life of a Data Engineer
Data Engineering Coming of Age
Jeff Magnusson: How To Create A Self-Service Data Platform For Data Scientists
Data Pipeline Design Patterns
Architecting and Automating Data Pipelines: A Guide to Efficient Data Engineering for BI and Data Science
Get Data Preparation Right or Prepare to Fail
Top 9 Data Sharing Challenges and Ways to Overcome Them
Collaboration and Crowdsourcing with Data Cataloging
Using the Data Resource
What is Business Intelligence?
3 Methods on How to Gather Your Business Intelligence Requirements
How To Create a KPI Dashboard in 10 Minutes!
Boost Business Growth With Data Analytics
The 4 Types of Data Analytics
Alan Jacobson: How to Deliver Business Value from Advanced Analytics
Advanced Analytics Whiteboard
What is Data Mining and Why is it Important?
The 7 steps of machine learning
Data Science In 5 Minutes
Nir Kaldero: Data Science for Executives: Leveraging Machine Intelligence to Drive Business ROI
Finding and Evaluating Data
Top 3 Objectives Before Starting an Analytics Project
The Analytics Value Chain: Framing Analytics with Decision Modeling
The Rise of the Data Marketplace: Data as a Service
Dynamic Data Marketplace: Fast Data for Fast Business
Evaluating Data Sources
Data Preparation
Get Data Preparation Right or Prepare to Fail
What is Data Preparation? / An Introduction to Data Prep
Data Science Methodology 101 - Data Preparation Concepts
15 Data Exploration techniques to go from Data to Insights
Data profiling in the age of big data
What Is Data Discovery?
Enhanced Data Fabric: Innovations in Data Discovery and Integration
How to Do Data Profiling in Excel?
Data transformation: A comprehensive guide to benefits, challenges, and tools
Data Pipeline Design Patterns
Data Sampling Methods
Understanding data deduplication — and why it’s critical for moving data to the cloud
Hidden Costs of Duplicate Data
What Is Data Blending, and Which Tools Make It Easier?
Top 21 Self-Service Data Preparation Software
Data Analysis Techniques
Make An Impact: Hidden Reasons Why Your Data Analysis Has No Value
Excel: Intro to PivotTables
Learn Pivot Tables in 6 Minutes
Descriptive Statistics in Excel
Descriptive Statistics vs Inferential Statistics
Time Series Forecasting in Minutes
Excel for Data Analysis
The Excel Quick Analysis Tool
Difference Between KPI Dashboards And Self-service Analytics Dashboards
Top 4 Data Analytics Tools
Data Visualization
See, Know, Act: How Visual Design Standards Improve Analytical Literacy
The Beauty of Data Visualization
The Data Visualization Catalogue
Descriptive Statistics and Data Visualization
Which is the best chart: Selecting Among 14 Types of Charts
The Other Side of Data Visualization
Reading Data Visualizations
Data Visualization Mistakes to Avoid
TOP 5 Excel Data Visualization Tips (Become a Data Visualization PRO)
Analysis to Action
Data Storytelling: It’s More than Visualization
Data Storytelling, Part I: Telling It Like It Is, And Was, And Will Be
Data Storytelling, Part II: In Medias Res
Data Storytelling, Part III: Knowing Your Subject and What Not to Say
Data Storytelling, Part IV: Know Your Audience
Data Storytelling, Part V: Of MICE and Management
What is the Value of Data?
Insight … So What?
How Data Ecosystems can transform your Business, Part 1: Use Data & Analytics to drive Innovation