Data Science ofRevenue Optimization
Pricing science with Excel and SQL, built for real business decisions.
Learn the applied methods behind dynamic pricing, demand analysis, revenue optimization, and automated pricing models without getting buried in abstract theory.
16 hours of short lessons. Self-paced. Online. Certificate included. Real transaction data files and downloadable Excel templates.
Master the science behind revenue optimization.
Pricing is no longer just a finance task, a sales instinct, or a spreadsheet exercise. Modern pricing requires data extraction, demand pattern recognition, statistical reasoning, transaction analysis, and disciplined model building.
This course teaches the practical side of pricing science. You learn how to work from raw transactional data to pricing decisions, automated models, and revenue optimization logic that can be explained, defended, and repeated.
Turn pricing from guesswork into a repeatable analytical process.
Prescriptive pricing analytics is one of the most in-demand business applications of data science. This certificate helps you move beyond intuition and learn how pricing, demand, and revenue behavior can be modeled using real business data.
This course adds practical pricing analytics skills to your toolkit.
Most courses tell you the “what.” This course shows you the “how.”
Descriptive, predictive, and prescriptive pricing analytics are covered in detail. You work through short, one-topic, pre-recorded lessons using real raw transaction data files, downloadable Excel templates, and practical pricing examples.
You get lifetime access to the course, so you can return to the material whenever you need to review a method or rebuild a model.
One complete pricing story, from raw data to pricing decisions.
The course uses a single integrated case study so the ideas connect. You do not learn isolated tricks. You see how raw data, demand analysis, customer behavior, pricing logic, and automated models fit together into one practical revenue optimization workflow.
No programming or mathematics background required.
You do not need to be a programmer or mathematician to benefit from this course. The focus is practical pricing analysis, clear reasoning, and step-by-step work with business data using Excel and SQL.
Regardless of your career path, this course will make you stand out.
Learn pricing techniques that help improve margin, defend revenue decisions, and communicate pricing logic more clearly.
Pricing science gives you a clearer way to connect demand, behavior, data, and business outcomes.
Data-driven pricing skills help you move beyond reporting and into decisions that affect strategy and profitability.
No nonsense. Applied pricing analytics, taught step by step.
- Taught by a real pricing and revenue optimization expert, not a university professor or corporate trainer.
- The focus is application instead of theory.
- You watch every operation performed step by step using real business data.
- The goal is to change how you think about pricing, data, and revenue decisions.
Over 150 short lessons organized around four practical outcomes.
Extract raw transaction data from any system.
Learn how to work with source data, organize transaction files, and prepare pricing datasets for analysis.
Find demand patterns using probability and statistics.
Move from raw records to useful patterns that explain how customers, demand, and pricing behavior relate.
Make pricing decisions using data and math.
Use analytical logic to evaluate pricing opportunities, revenue tradeoffs, and decision rules.
Build automated pricing models in Excel.
Create reusable tools that structure, automate, and explain pricing recommendations.
Arm yourself with data science techniques for creating revenue.
This course is for professionals who want to understand the analytical structure behind pricing, not just copy formulas. It connects business context, data structure, demand behavior, and pricing mechanics in one practical system.
Why spend your training dollars here?
Most analytics courses teach tools in isolation. This course teaches a business problem: how to use data to improve pricing and revenue decisions. The tools matter, but the deeper value is learning how to think through pricing analytically.
Unlike broad university-style courses, this program focuses on practical application, transferable methods, and pricing problems that show up in real companies.
Most courses limit you to a platform. This one teaches transferable knowledge.
This course uses Excel and SQL, but the methods are not locked to one software product. You learn how to structure pricing data, recognize demand patterns, and build repeatable logic that can move across systems.
Get started now and move toward the top of global revenue talent.
- Self-paced online access.
- Certificate of completion.
- Downloadable data files and templates.
- One-on-one help available.
Robert Hernandez
I am Robert Hernandez, and I am committed to helping you learn everything I know, without wasting your time on purely academic skills that do not translate into real-world value. I bring a rare combination of cross-disciplinary experience, advanced mathematical and analytics skills, technical competency, multi-industry knowledge, and business process improvement expertise. I am an energetic and dedicated analytics professional with strong business acumen and more than 20 years of experience creating and managing data-driven models and processes for diverse organizations, both on-site and remotely. I have worked at Walt Disney and HP/Compaq, and have consulted for dozens of companies across industries, from e-commerce to entertainment to energy.
Connect with Robert on LinkedIn
Have a Question about this course? Email me.