# The Value-Centric Data Professional > The Value-Centric Data Professional is a self-paced certification by Vin Vashishta, with 11 modules and more than 45 lessons, that teaches analysts, data scientists, ML engineers, and PMs to deliver higher-value work and communicate for impact. URL: https://www.datascience.vin/course-value-centric-data-professional.html Format: Self-paced Price: $195 Enroll: https://learn.datascience.vin/purchase?product_id=5333239 Updated: January 2027 - **Format:** On-demand video + exercises - **Content:** 11 modules ยท 45+ lessons - **Access:** 1 year, with a weekly office hour - Weekly office hour with live Q&A - Frameworks for analyst, DS, MLE, DE, and PM roles - A communications framework built for data professionals - Optional 1:1 sessions with Vin ## Why this course You can keep the role you have. What changes is how you see the work: which problems deserve software, data, or a model, how the business makes money from what you build, and how to communicate for impact. It's the shortest path to shipping work with significant business value. ## The shift | Old pattern | Disruptor's Mindset | |---|---| | Wait for a well-defined project | Discover and define a high-value opportunity yourself | | Reach for a model first | Decide whether the problem needs software, data, or a model | | Present the technical work | Present the business outcome, with the right success metrics | | Communicate for comfort | Communicate for impact, from frontline stakeholders to the C-suite | | Us versus the business | Meet the business where it is and build trust | **If you build: Keep building, with a perspective that sets you apart.** Business, operating, and technology models, value streams, and product-first thinking, so you see which work matters before anyone asks. **If you manage data work: Give your team a shared value language.** Problem, data, and solution space definitions and feasibility assessments that turn requests into projects worth doing. ## Course outline From reframing a business problem as a data problem through C-level communications and career advancement frameworks. Built for every level, from people just starting out to senior+ data professionals. ### Module 1: Introduction *2 lessons* - Course Outline And Content - Benefits And Outcomes ### Module 2: Why Data Teams Struggle To Deliver Value *3 lessons* - The Business Isn't Ready For Data - Fitting The Data Team Into The Business - Explaining The New Paradigm ### Module 3: Reframing A Business Problem As A Data Problem *5 lessons* - 3 Different Problems: Software, Data, and Model - Defining A Software Problem - Defining A Data Problem - Defining A Simple Model Problem - Defining An Advanced Model Problem ### Module 4: Defining The Project *8 lessons* - Why Define These Upfront? - Problem Space Definition - Data Space Definition - Solution Space Definition - The Feasibility Assessment - Transforming A Technical Presentation To A Business Presentation - A New Presentation Approach - Selecting The Right Success Metrics ### Module 5: Building Data Science Requirements From User Requirements *4 lessons* - The AI Last Mile Problem - Phase 1: Commercialization - Phase 2: Productization - Phase 3: Monetization ### Module 6: Understanding The Business And Basic Strategy *6 lessons* - Business Model - Operating Model - Technology Model - Value Stream - Business Strategy - Assessment Framework ### Module 7: The Communications Framework *5 lessons* - Introduction To The Communications Framework - How Impact Changes Communications - Communications Objectives - Communications Discipline - Creating Opportunities For Multiway Communications ### Module 8: Advanced Communications *8 lessons* - Communicating For Impact - Crafting Communications Objectives - Introduction To Presentation Flow - Slide Flow Basics - Understanding C-Level Communications - Gaining A C-Level Sponsor - Pushback Strategies That Won't Get You Fired - 3 Examples Of Communications In Action ### Module 9: Career Advancement Frameworks *5 lessons* - There Must Be Something In It For You - Career Roadmap: Main Career Tracks And Transitions - Career Roadmap: Definition Points - Aligning With Your Leader And The Business - Finding Advocates And Mentors ### Module 10: Working With The Business *5 lessons* - Starting With Experts - Introducing Improvements - Meet The Business Where It Is - Ending Us VS Them - Trusting And Building Trust ### Module 11: Product First Thinking *3 lessons* - Introduction To Product Management & Why Learn This? - Product Maturity & A More Structured Approach To Building Products - Product First Thinking ## Questions **What is The Value-Centric Data Professional?** The Value-Centric Data Professional is a self-paced certification by Vin Vashishta, with 11 modules and more than 45 lessons, that teaches analysts, data scientists, ML engineers, and PMs to deliver higher-value work and communicate for impact. **How much does it cost, and what's included?** $195 for the full certification. It includes weekly office hour with live Q&A, frameworks for analyst, DS, MLE, DE, and PM roles, a communications framework built for data professionals, optional 1:1 sessions with Vin. **How long does it take?** It's self-paced, so you set the schedule. There are 11 modules and more than 45 lessons, with a weekly office hour. Start immediately after you enroll; access runs for a year, with office hours for questions along the way. **Do I need a technical background?** No. It's built for every level, from people starting out to senior+ analysts, researchers, data scientists, ML engineers, data engineers, and product or program managers. **Can I expense it?** Some students use an employer learning budget. Approval depends entirely on your employer's policy. **Which course should I take?** Take this certification if you want to stay technical and deliver higher-value work. If you're moving into strategy or product roles, the course matcher shows which core course fits your title. ## Instructor Vin Vashishta is the author of From Data to Profit (Wiley) and has applied every framework in this course with clients including Airbus, Walmart, Siemens, and JPMorgan Chase. More than 9,000 professionals in 47 countries have taken his courses.