
LEARNING PATH
LEARNING PATH
Data Literacy Foundations
Data Literacy Foundations
This path is for anyone looking to build foundational data literacy and analytical thinking skills, and learn how to interpret, manage, analyze and communicate with data.
This path is for anyone looking to build foundational data literacy and analytical thinking skills, and learn how to interpret, manage, analyze and communicate with data.
certificate available
26 hours
4 courses
2 guided projects



Overview
We live in a world that runs on data.
Whether you’re a teacher using test scores to improve lesson plans, a sales manager tracking monthly quotas, or a marketer exploring customer trends, data can help you work smarter and make better, more impactful decisions.
In this path, we'll set the stage by discussing what data literacy means, share resources to help you assess and benchmark your skills, and review key elements of the data ecosystem, including democratization, strategy, architecture and governance.
From there we'll introduce foundational skills for interpreting, managing, analyzing and communicating with data. We'll walk through frameworks for strategic thinking and measurement planning, review case studies and best practices for data prep, exploratory analysis, visualization and storytelling, and explore powerful use cases for leveraging Generative AI.
Finally we'll dive into the most ubiquitous tool in the data landscape: Microsoft Excel. We'll cover everything you need to get up and running, including spreadsheet fundamentals, formulas, pivot tables, and charts, then fully showcase the power of Excel PivotTables, one of the most flexible and intuitive tools for exploratory data analysis.
You'll also get a chance to apply your skills and build your portfolio by solving unique, real-world projects and business cases, like analyzing traffic safety trends in NYC and designing a dashboard for coffee shop transactions.
Skills You'll Learn
Data Foundations
Data Prep
Data Analysis
Who Should Take This Path?
Everyday people looking to build confidence and use data more effectively
Leaders seeking to upskill or empower teams with critical data skills
Data professionals who want to sharpen their data visualization and storytelling skills
Anyone looking to work smarter, earn more, and make more impactful data-driven decisions
Path Requirements
This is an entry-level path (no prerequisites)
Excel 365, ideally on Windows/PC (some functionality may be unavailable on other versions)
Some experience working with Excel or Sheets is helpful, but not required
Meet Your Instructors

Chris Dutton
Founder & CPO
Chris is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 students around the world.

Aaron Parry
Partner & CCO
Aaron is a professional analytics consultant and Microsoft Power BI expert, with 10+ years working in business intelligence and marketing analytics. He's an instructor, coach and mentor for aspiring analysts, and has deep experience helping companies develop and implement full-stack BI solutions.

Enrique Ruiz
Sr. Learning Experience Designer
Enrique is a certified Microsoft Excel Expert and top-rated instructor with a background in business intelligence, data analysis and visualization. He has been producing advanced Excel and test prep courses since 2016, along with adaptations tailored to Spanish-speaking learners.

John Pauler
Partner & CRO
John brings over 15 years of business intelligence experience to the Maven team, having worked with companies ranging from Fortune 500 to early-stage startups. As a MySQL expert, he has played leadership roles across analytics, marketing, SaaS and product teams.

Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Overview
We live in a world that runs on data.
Whether you’re a teacher using test scores to improve lesson plans, a sales manager tracking monthly quotas, or a marketer exploring customer trends, data can help you work smarter and make better, more impactful decisions.
In this path, we'll set the stage by discussing what data literacy means, share resources to help you assess and benchmark your skills, and review key elements of the data ecosystem, including democratization, strategy, architecture and governance.
From there we'll introduce foundational skills for interpreting, managing, analyzing and communicating with data. We'll walk through frameworks for strategic thinking and measurement planning, review case studies and best practices for data prep, exploratory analysis, visualization and storytelling, and explore powerful use cases for leveraging Generative AI.
Finally we'll dive into the most ubiquitous tool in the data landscape: Microsoft Excel. We'll cover everything you need to get up and running, including spreadsheet fundamentals, formulas, pivot tables, and charts, then fully showcase the power of Excel PivotTables, one of the most flexible and intuitive tools for exploratory data analysis.
You'll also get a chance to apply your skills and build your portfolio by solving unique, real-world projects and business cases, like analyzing traffic safety trends in NYC and designing a dashboard for coffee shop transactions.
Skills You'll Learn
Data Foundations
Data Prep
Data Analysis
Who Should Take This Path?
Everyday people looking to build confidence and use data more effectively
Leaders seeking to upskill or empower teams with critical data skills
Data professionals who want to sharpen their data visualization and storytelling skills
Anyone looking to work smarter, earn more, and make more impactful data-driven decisions
Path Requirements
This is an entry-level path (no prerequisites)
Excel 365, ideally on Windows/PC (some functionality may be unavailable on other versions)
Some experience working with Excel or Sheets is helpful, but not required
Meet Your Instructors

Chris Dutton
Founder & CPO
Chris is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 students around the world.

Aaron Parry
Partner & CCO
Aaron is a professional analytics consultant and Microsoft Power BI expert, with 10+ years working in business intelligence and marketing analytics. He's an instructor, coach and mentor for aspiring analysts, and has deep experience helping companies develop and implement full-stack BI solutions.

Enrique Ruiz
Sr. Learning Experience Designer
Enrique is a certified Microsoft Excel Expert and top-rated instructor with a background in business intelligence, data analysis and visualization. He has been producing advanced Excel and test prep courses since 2016, along with adaptations tailored to Spanish-speaking learners.

John Pauler
Partner & CRO
John brings over 15 years of business intelligence experience to the Maven team, having worked with companies ranging from Fortune 500 to early-stage startups. As a MySQL expert, he has played leadership roles across analytics, marketing, SaaS and product teams.

Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Overview
We live in a world that runs on data.
Whether you’re a teacher using test scores to improve lesson plans, a sales manager tracking monthly quotas, or a marketer exploring customer trends, data can help you work smarter and make better, more impactful decisions.
In this path, we'll set the stage by discussing what data literacy means, share resources to help you assess and benchmark your skills, and review key elements of the data ecosystem, including democratization, strategy, architecture and governance.
From there we'll introduce foundational skills for interpreting, managing, analyzing and communicating with data. We'll walk through frameworks for strategic thinking and measurement planning, review case studies and best practices for data prep, exploratory analysis, visualization and storytelling, and explore powerful use cases for leveraging Generative AI.
Finally we'll dive into the most ubiquitous tool in the data landscape: Microsoft Excel. We'll cover everything you need to get up and running, including spreadsheet fundamentals, formulas, pivot tables, and charts, then fully showcase the power of Excel PivotTables, one of the most flexible and intuitive tools for exploratory data analysis.
You'll also get a chance to apply your skills and build your portfolio by solving unique, real-world projects and business cases, like analyzing traffic safety trends in NYC and designing a dashboard for coffee shop transactions.
Skills You'll Learn
Data Foundations
Data Prep
Data Analysis
Who Should Take This Path?
Everyday people looking to build confidence and use data more effectively
Leaders seeking to upskill or empower teams with critical data skills
Data professionals who want to sharpen their data visualization and storytelling skills
Anyone looking to work smarter, earn more, and make more impactful data-driven decisions
Path Requirements
This is an entry-level path (no prerequisites)
Excel 365, ideally on Windows/PC (some functionality may be unavailable on other versions)
Some experience working with Excel or Sheets is helpful, but not required
Meet Your Instructors

Chris Dutton
Founder & CPO
Chris is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 students around the world.

Aaron Parry
Partner & CCO
Aaron is a professional analytics consultant and Microsoft Power BI expert, with 10+ years working in business intelligence and marketing analytics. He's an instructor, coach and mentor for aspiring analysts, and has deep experience helping companies develop and implement full-stack BI solutions.

Enrique Ruiz
Sr. Learning Experience Designer
Enrique is a certified Microsoft Excel Expert and top-rated instructor with a background in business intelligence, data analysis and visualization. He has been producing advanced Excel and test prep courses since 2016, along with adaptations tailored to Spanish-speaking learners.

John Pauler
Partner & CRO
John brings over 15 years of business intelligence experience to the Maven team, having worked with companies ranging from Fortune 500 to early-stage startups. As a MySQL expert, he has played leadership roles across analytics, marketing, SaaS and product teams.

Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
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