FREE Course
Course Description
AI is changing the way data analysts work, but not why they matter.
This course teaches you how great analysts think: how to understand the business, ask the right questions, and turn data into decisions.
We’ll start with how the analyst role is changing. You’ll see how AI and human strengths compare, which skills are becoming more important than ever, and how to navigate the landscape of data careers, roles and tools.
From there, you’ll learn a six-step workflow that you can apply to any project, from understanding the business case to delivering insights and advocating for action. You’ll see where AI can streamline the technical work, and where analysts continue to play a critical role.
Next, we’ll build your business acumen, the part of the job AI can’t do for you. You’ll learn how companies create value, what your stakeholders are measured on, and how to turn vague requests into clear analytical requirements. You’ll put your skills to the test with practical real world case studies, and play the role of a newly hired analyst for a grocery chain and an online retailer.
Finally, you’ll learn how to build a measurement plan from scratch using a four-step framework: think like the business, understand your audience, define the right KPIs, and identify the data you need to track them.
By the end of the course, you’ll know how to frame the question, plan the measurement, and connect the numbers to the business outcomes that matter most. AI can tell you what happened, you’ll know why it matters, and what to do about it.
Course Content
2 course hours
Who should take this course
Aspiring analysts and data professionals who want to build the right foundation for the modern AI landscape
Leaders looking to build teams that ask better questions, measure what matters, and turn analysis into action
Anyone looking to develop durable analytical thinking skills that transfer across roles, tools, and industries
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.
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.
Mo Chen
Data & AI Educator, Data with Mo
Mo Chen is a data and analytics professional with experience across finance, risk, investment banking, and business insights. After earning his MSc in Finance & Economics from the University of St Andrews in 2018, he moved into investment banking as a Data & Analytics Manager. Since 2023, Mo has grown a major online presence creating data and career content, reaching 200K+ YouTube subscribers, 8M+ views, and 50K+ LinkedIn followers.
Featured review
"I feel lucky and grateful to have found this course in the early stage of my analytics career. Concepts like "skills over tools", "context is key", and "think business first" are mind-blowing articulation of how to become a great analyst. This is feeling more and more exciting – thank you Maven Analytics!"
Sam S.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Thinking Like an Analyst
CPE Accreditation
CPE Credits:
0
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
Course Description
AI is changing the way data analysts work, but not why they matter.
This course teaches you how great analysts think: how to understand the business, ask the right questions, and turn data into decisions.
We’ll start with how the analyst role is changing. You’ll see how AI and human strengths compare, which skills are becoming more important than ever, and how to navigate the landscape of data careers, roles and tools.
From there, you’ll learn a six-step workflow that you can apply to any project, from understanding the business case to delivering insights and advocating for action. You’ll see where AI can streamline the technical work, and where analysts continue to play a critical role.
Next, we’ll build your business acumen, the part of the job AI can’t do for you. You’ll learn how companies create value, what your stakeholders are measured on, and how to turn vague requests into clear analytical requirements. You’ll put your skills to the test with practical real world case studies, and play the role of a newly hired analyst for a grocery chain and an online retailer.
Finally, you’ll learn how to build a measurement plan from scratch using a four-step framework: think like the business, understand your audience, define the right KPIs, and identify the data you need to track them.
By the end of the course, you’ll know how to frame the question, plan the measurement, and connect the numbers to the business outcomes that matter most. AI can tell you what happened, you’ll know why it matters, and what to do about it.
Curriculum
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.
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.
Mo Chen
Data & AI Educator, Data with Mo
Mo Chen is a data and analytics professional with experience across finance, risk, investment banking, and business insights. After earning his MSc in Finance & Economics from the University of St Andrews in 2018, he moved into investment banking as a Data & Analytics Manager. Since 2023, Mo has grown a major online presence creating data and career content, reaching 200K+ YouTube subscribers, 8M+ views, and 50K+ LinkedIn followers.
Student reviews
I feel lucky and grateful to have found this course in the early stage of my analytics career. Concepts like "skills over tools", "context is key", and "think business first" are mind-blowing articulation of how to become a great analyst. This is feeling more and more exciting – thank you Maven Analytics!
Sam S.
Many concepts were new to me and some like a revision. I really enjoyed this course and looking forward to this to practice.
Vignesh Suresh
I loved this course. I learned a lot of the terms in more detail and how data functions and the value it adds for business decisions.
Michael D Petri
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Thinking Like an Analyst
Thinking Like an Analyst
CPE Accreditation
CPE Credits:
0
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
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