
operations analytics | operational metrics | dashboards and reports | okr | people analytics | scorecards | forecasts
What You Will Learn:
- Tell a metric with an owner and a decision from one that merely exists
- Separate input, output and outcome indicators and stop mixing them
- Clean an export into a dataset you can actually analyse
- Build a dashboard and a board-ready deck without manual copy-paste
- Diagnose an anomaly by slicing across manager, unit, level and tenure
- Build an explainable risk score and a quarterly forecast without a black box
- Design an anchored five-point scale that different people score the same way
- Connect metrics to goals so the number changes something
- Learn alongside Mike’s 1.6 million students from 185 countries
- Draw on the author’s work at Preply, Wargaming, iDeals and Alfa-Bank
Overview
As an experienced tech professional who’s seen more dashboards than I care to count, I can tell you there’s a huge chasm between having data and actually extracting meaningful, actionable insights from it. This ‘Operations Analytics: KPIs, Dashboards and Forecasts’ course by Mike doesn’t just promise to bridge that gap; it delivers the construction manual. My take? Itβs less about teaching you how to build another pretty chart, and more about fundamentally shifting how you think about and utilize **operational metrics** to drive **operational excellence**.
Far too often, teams get bogged down in a swamp of raw data, churning out reports that look impressive but rarely catalyze genuine change. This course cuts through that noise, emphasizing the critical distinction between metrics that merely exist and those with an owner, a clear decision tied to them, and a direct line to your business goals. It’s about moving beyond vanity metrics and into the realm of truly impactful **KPIs** and data-driven strategy. If your organization struggles with making its data *speak* and *influence*, this course lays the groundwork for a robust, decision-oriented **operations analytics** framework. Itβs for anyone weary of data paralysis and ready to turn their operational data into a strategic asset.
Prerequisites
This course strikes a good balance, making it accessible for a fairly broad audience. You don’t need to be a seasoned data scientist, but a basic familiarity with spreadsheets and a logical, analytical mindset will certainly help you hit the ground running. It’s pitched as covering skills from **beginner to advanced**, and I’d say that holds true. If you’ve dabbled in data exports and found yourself overwhelmed by the sheer volume or lack of structure, you’re exactly the target audience. More experienced professionals, particularly those in management or product roles, will also find immense value in refining their approach to metric design, goal alignment (like **OKR** methodologies), and building robust forecasting models, moving beyond simple intuitions. While not explicit **certification prep**, the practical skills are highly transferable.
Skills & Tools
The curriculum is packed with **job-ready skills** crucial for anyone working with operational data. Youβll learn how to transform messy exports into clean, analyzable datasets β a skill often overlooked but absolutely fundamental. Expect to dive deep into distinguishing between input, output, and outcome indicators, a concept that will fundamentally improve your reporting and analysis.
Crucially, the course teaches you to build **dashboards and reports** that are not just visually appealing but also board-ready, focusing on automation to eliminate tedious manual copy-pasting. You’ll gain proficiency in diagnosing anomalies by slicing data across various dimensions (manager, unit, level, tenure β particularly useful for **people analytics**). Furthermore, it covers building explainable risk scores and quarterly forecasts, shying away from opaque “black box” models. While it doesn’t tether itself to a single specific tool, the principles are universally applicable to **industry-standard tools** like Excel, SQL, and various BI platforms (e.g., Power BI, Tableau, Looker Studio), allowing you to apply learnings to your tool of choice. You’ll learn to design anchored five-point scales for consistent data collection and, most importantly, connect all these **operational metrics** to overarching business goals.
Career Benefits & Job Roles
The skills imparted in this course directly translate into significant **career growth** opportunities. For aspiring **Business Analysts**, **Data Analysts**, or **Operations Analysts**, mastering these techniques means moving beyond mere reporting to becoming a strategic partner capable of driving data-informed decisions. **Operations Managers** and **Product Managers** will find themselves better equipped to define, track, and improve their respective areas, leveraging data to optimize processes and product performance.
Even if your current role isn’t explicitly data-focused, the ability to build compelling **scorecards**, perform accurate **forecasts**, and design effective **KPIs** makes you an invaluable asset. This course provides the kind of **real-world projects** and hands-on understanding that sets candidates apart in a competitive job market. Demonstrating proficiency in transforming raw data into clear, actionable insights for **operational metrics** is a superpower in today’s data-driven economy.
Pros
- Actionable & Practical Focus: This isn’t theoretical fluff. The course directly tackles common operational data challenges, teaching you to design metrics that truly drive decisions and assign ownership, moving beyond mere data collection to data utilization.
- Expert Instruction & Proven Methodology: Drawing on Mike’s extensive experience at companies like Preply, Wargaming, iDeals, and Alfa-Bank, and having taught 1.6 million students, the methodology is robust and battle-tested. You’re learning from someone who’s walked the walk in high-stakes environments.
- Comprehensive Skill Development: From meticulous **data cleaning** and defining proper **input, output, and outcome indicators** to advanced **anomaly detection**, **risk scoring**, and **forecasting techniques**, the course covers the full spectrum of **operations analytics**.
- Emphasis on Strategic Impact: It consistently connects the dots between individual metrics and overarching business goals, ensuring that every analysis contributes to measurable improvements and aligns with strategic objectives, enhancing your ability to drive **OKRs**.
Cons
- Tool-Agnostic Approach: While beneficial for universal applicability, the course doesn’t deep-dive into the specific functionalities of a single BI tool (e.g., Power BI, Tableau). This means you’ll need to apply the learned principles to your preferred **industry-standard tools** independently, which might require additional learning time if you’re looking for step-by-step tool tutorials.