Now With Weekly Office Hour. Enroll Today & Get Live Q&A Time With Your Instructor.
Your learning outcomes are my #1 priority. That means answering your questions and providing additional context to help you succeed. You get access to the office hour for the duration of the course.
Meet Your Instructor:
A Globally Recognized Expert In Data Science & Strategy
Vin Vashishta has a 3-layered professional background: Technology, Leadership, and Strategy.
25 years in technology, starting in software engineering and moving into data science in 2012.
Strategist, first published in 2013, Vin has combined his technical and strategic expertise to build Data and AI Strategies for 10 of the largest companies in the world, 21 SMEs, and 3 startups.
2X Founder, leader, and organization builder. Clients bring Vin in as an interim CDO to build and lead their data organizations during crucial growth stages. He founded V-Squared in 2012 and built it into a successful AI Strategy consulting practice. In 2019, he expanded into education and launched High ROI Data Science.
Since 2014, Vin has been called a Data Science and Strategy expert by IBM, Intel, SAP, LinkedIn, NVIDIA, and others. He is a globally recognized thought leader, followed by Gartner, Walmart, Uber, Microsoft, Salesforce, MongoDB, Deloitte, and many others.
Vin has been teaching technical and non-technical audiences since 2007.
Why Get Certified?
The Value Centric Data Professional is the shortest path to delivering products with significant business value. I created it for everyone who said, “Give me your frameworks and background to execute on what the business and senior leaders expect from data professionals.”
This self-paced, online seminar is for all skill levels, from those just starting to senior+ data professionals. The frameworks can be implemented across several roles:
- Analysts
- Researchers
- Data Scientists
- Machine Learning Engineers
- Data Engineers
- Product Managers
- Program Managers
This Seminar Is the Simplest Path to Learning
- What makes a project high value?
- When should the business use software vs. data vs. models?
- How does a data professional discover and define a high-value opportunity?
- How can a data professional successfully work with the business to get products into users’ hands?
Key Benefits
- High-value projects build a track record of success to move your career forward.
- Hiring managers at Fortune 100 and FAANG companies look for bottom-line impacts on candidates’ resumes.
- Consultants who can work with clients to identify high-value opportunities and present them in value-centric language are more successful.
- Startups and SMEs rely on data professionals to be part of business growth and customer success. The ability to discover, define, and present high-value opportunities is a major contributor to career growth.
Seminar Objectives
The C Suite is focused on the AI Last Mile Problem, which is the disconnect between development, production, and monetization. In this seminar, you will learn a framework that addresses the AI Last Mile Problem from the technical and business perspectives.
Data professionals are expected to communicate for impact. This seminar teaches a communications framework to transition from speaking for comfort to communicating for impact with various audiences.
Businesses are struggling to transition from exploring data and models to implementing and monetizing them. This seminar teaches you to identify opportunities to apply data and models with obvious and significant business impacts.
Senior leaders are dragged into managing the technology and workflows, which leads to micromanagement. The AI Governance Framework taught in this seminar gives senior leaders the tools to manage the value creation side of projects while freeing up data professionals to execute.
Data professionals are pulled into business roles and taken away from their highest value activities. You will learn what parts of the opportunity identification process to hand back to the business and how to help them succeed in creating a high-value opportunity pipeline.
Certification Course Outline
- Why Define These Upfront? (4:30)
- Problem Space Definition (7:44)
- Data Space Definition (10:16)
- Solution Space Definition (6:56)
- The Feasibility Assessment (7:37)
- Transforming A Technical Presentation To A Business Presentation (8:11)
- A New Presentation Approach (8:31)
- Selecting The Right Success Metrics (10:26)
- Communicating For Impact (6:33)
- Crafting Communications Objectives (8:27)
- Introduction To Presentation Flow (6:39)
- Slide Flow Basics (9:35)
- Understanding C-Level Communications (10:34)
- Gaining A C-Level Sponsor
- Pushback Strategies That Won't Get You Fired (9:20)
- 3 Examples Of Communications In Action (14:31)