Join a community of students from leading global brands
Excel is not the problem, but being Excel-dependent is. The volume, speed, and complexity of modern business data have outgrown manual workflows, and what used to be considered advanced is now baseline. Analysts who cannot query databases are limited, controllers who cannot automate are inefficient, and finance professionals who cannot model beyond spreadsheets are boxed in. The shift is already happening, and the longer you wait, the harder it becomes to close the gap.
This course is designed to force that transition. You will still use Excel, but alongside SQL, Python, and cloud-based environments to build scalable, automated, and more sophisticated analysis. You will learn how to connect tools, structure data properly, and apply real analytical methods that go beyond static reporting. More importantly, you will change how you think, from reporting to diagnosing, from summarizing to modeling, and from reacting to predicting. This is not about learning tools for the sake of it. It is about staying relevant in a market that is not waiting for you to catch up.
No prerequisites, no programming background required. The course begins with environment setup and tool orientation so you can follow along from day one, regardless of your current skill level.
Every module is built around practical exercises using real business data. You will not watch abstract demos. You will build working solutions that apply directly to the kind of analysis you already do at work.
By the end of the summer, you will have worked through 15 modules covering SQL, Python, automation, dashboards, AI, and more. You will have the skills, and you will have the proof of work.
"This course was a great learning experience — well-structured, short videos, easy to study at your own pace. The SQL and Excel content are extremely useful and I will definitely be applying much of this in my work in business intelligence."
"Robert took me step-by-step into understanding the how and the why of every process. Now I can understand my demand patterns and optimize prices based on real information. I discovered the beauty of Data Science through these courses."
"I wish I had done this many years ago — it would have helped so much during my career as an analytics leader. This course provides a great tool to learn analytics from how to retrieve data all the way to making pricing decisions and creating forecasts."
"I cannot begin to tell you the value of this course. It provided the tools to be mathematically specific in what I ask our reporting departments to do. Understanding the SQL reporting capabilities was golden."
"Robert was able to break complex material into small, easy-to-consume explanations. I know the value of myself and my company have vastly improved with the completion of this course."
"These courses have shed new light on how I can improve my Excel workbooks. It is quite obvious you are what analytics needs to be and I look forward to modeling myself in these practices."
"Having been through a number of analytics courses including one from Cornell, yours really explains and shows the calculations behind the systems. Your concept of looking at individual transactions opened a whole new world for me."
"Though I have finished the Cornell Advanced Analytics certification, I felt your course is something I should have learned earlier."
"The presentations are expertly done, presenting difficult mathematical concepts in simple language. Your concept of looking at individual transactions opened a whole new world for me."
"The body of knowledge is the true science of analytics. These skills will equip you with the confidence and wisdom you need to apply analytics concepts."
"I've taken many other analytics courses but... if you are serious about analytics, you have to take this course."
"This is the best analytics course I have ever taken."
Learn how to create your own data environment using free tools so you can store, access, and manage data without relying on others.
Database connection setup
Data project folder structure
Master how to take raw, messy data and transform it into structured, reliable datasets ready for analysis.
Power Query cleaning steps
VBA custom cleaning function
Organize data into proper tables and relationships so it can be efficiently queried and modeled.
Structured analysis tables
Table relationships
Learn how to retrieve, join, filter, and aggregate data to answer real business questions.
SQL query editor
SQL joins
Move beyond reporting numbers and learn how to break down performance and identify key drivers.
KPI driver breakdown
Analysis workflow notebook
Use practical statistical tools to quickly identify patterns, trends, and anomalies.
Pattern and trend analysis
Statistical pattern analysis
Use Python to load, inspect, clean, and analyze data in repeatable workflows that reduce manual spreadsheet work.
Python data graph
Organized project folders
Learn how to structure analysis from raw data to insight to decision in a consistent way.
Model structure
Analysis workflow design
“I am not a programmer, but I was able to learn how to use Python to reduce the time spent on monthly analysis by 90%. Now my entire workflow is automated and uses AI.”
Build forecasting models and analytical frameworks that stakeholders can use and trust.
Excel forecast model
Excel clustering
Create workflows that run automatically, from data extraction to final reporting.
Automated refresh workflow
Scheduled reporting workflow
Design and build dashboards in Power BI and Looker Studio that clearly communicate insights.
Dashboard design
Interactive report
Use Jupyter Notebooks and Google Colab to structure and share your analysis.
Notebook workspace
Shared analysis environment
Learn how to manage and track your work using GitHub so nothing is lost and everything is reproducible.
Project repository
Version history
Expand your data sources by learning how to collect external data programmatically.
API request workflow
Web scraping workflow
Understand how AI systems structure and use data so you can stay ahead of where things are going.
Connected data graph
Relationship query
“Having been through a number of courses, including one from Cornell, yours really explains and shows the calculations behind the systems being used. Your concept of looking at the individual transactions opened a whole new world for me. The presentations by Robert Hernandez are expertly done, presenting difficult mathematical concepts in the simple language.”
“This course was a great learning experience, well-structured and many short videos made it really easy to study this course at your own pace. The course explains difficult concepts in an easy way, the course really explains the concepts and provided me with the insights needed to understand. But also the SQL and Excel content in this package are extremely useful and I will definitely be applying much of this in my current work in business intelligence from now on.”
“I can’t begin to tell you how engaging these courses are. I oversee two independent hotels. I have a number of Excel workbooks I have built on my own by extracting PMS data and so far these courses have shed new light on how I can improve them and my thought processes. I also love reading your blog posts. It is quite obvious you are what RM needs to be and I look forward to modeling myself in these practices.”
Unlike university-based courses, the focus of this training is on the application instead of the theory of data analytics. In this unique course you will learn by watching the instructor actually perform every operation step-by-step using real business data for every topic.
When was the last time your mind was transformed by a training course?
Save years of learning. It’s like 15 analytics courses in 1.
Course Content Available July 12.
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.
This is a hands-on, practical course designed to teach you the real-world analytics tools and techniques used by professionals across industries. You will learn Python, data modeling, automation, AI-assisted workflows, and more, with a focus on skills that translate directly into measurable business value.
This course is for business professionals, analysts, and anyone who works with data and wants to drastically reduce manual effort, improve accuracy, and gain a competitive edge. No prior programming experience is required.
No. The course is structured so that complete beginners can follow along. One of our students, a non-programmer, reduced her monthly analysis time by 90% after completing the course. You will be guided step by step.
You will learn Python, data automation techniques, AI-assisted analytics, and the workflow tools used by professional analysts. All software used in the course is either free or has a free tier. You will not need to purchase any additional tools.
100% on-demand. Start any time, progress at your own pace, and revisit any lesson whenever you need it. There are no scheduled sessions, no deadlines, and no cohort to wait for.
Most students complete the core modules in 4 to 6 weeks when studying a few hours per week. However, there is no deadline, you can take as long as you need.
Click the Enroll Now button on this page. You will be taken to a secure checkout page where you can complete your enrollment in a few minutes.
Payment is processed securely through Stripe, which accepts all major credit and debit cards including Visa, Mastercard, American Express, and Discover. Your card information is never stored on our servers.
Yes. Checkout is powered by Stripe, one of the most trusted payment processors in the world. All transactions are encrypted and PCI-compliant.
Immediately after your payment is confirmed, you will receive an email with your login credentials and a link to the course portal. You can begin right away.
You get lifetime access. Once you enroll, the course materials are yours to revisit anytime, including any future updates or additions.
Yes. If you are not satisfied, you may request a full refund within 30 days of starting your first online session, no questions asked.
Yes. You can reach Robert Hernandez directly by email at any time during the course. He is committed to making sure you understand and can apply everything taught.
Unlimited. There is no cap on the number of questions you can ask or the amount of time Robert will spend with you. Whether you have a quick clarification or need to walk through a complex problem, he is available to help for as long as it takes.
Free tutorials are scattered, inconsistent in quality, and rarely connect individual skills into a coherent workflow. This course gives you a structured path from raw data to real business insight, built on more than 20 years of professional experience across dozens of industries.
The skills taught apply across virtually every industry, e-commerce, entertainment, energy, healthcare, finance, retail, and more. The instructor has consulted across all of these sectors and has structured the course to reflect that breadth.
Yes, a certificate of completion is issued when you finish the course modules. This can be shared on LinkedIn or added to your professional portfolio.
Enrollment is open. There is no cohort, no waitlist, and no deadline. You can start immediately after purchasing.
There are no deadlines and no sessions you can miss. Everything is available on demand. You can pause, rewind, and revisit any module as many times as you need.