Data-Driven Business: Experiment, Prototype & Improve

Master Data-Driven Decisions: Experimentation, Prototyping, MVPs & Performance Analysis

What you'll learn

Understand the significance of data-driven decision-making in shaping business strategies.

Identify opportunities for experimentation and prototyping within their organization.

Design experiments and test hypotheses to validate or refine business ideas.

Develop effective prototypes and grasp the concept of a Minimum Viable Product (MVP).

Measure and analyze performance using Key Performance Indicators (KPIs) and other relevant metrics.

Optimize and scale business solutions by leveraging data-driven insights.

Foster a culture of continuous improvement through ongoing experimentation, prototyping, and data analysis.

Requirements

Designed for beginners: This course assumes no prior knowledge of data-driven business strategy and will cover all the essential concepts from the ground up.

Practical, hands-on approach: Through case studies, real-life examples, and guided exercises, students will learn the practical application of data-driven strategies in various business scenarios.

Accessible language and resources: Complex concepts will be explained using clear, straightforward language, making it easier for beginners to grasp the material. Additional resources will be provided for those interested in further exploration.

Description

Discover the power of data-driven decision-making with our comprehensive course, "Data-Driven Business: Experiment, Prototype & Improve." We designed the course for both beginners and seasoned professionals alike. This course provides the practical skills to create, test, and refine innovative business strategies using a data-driven approach.We structured the course into the following high-level sections:Introduction to Data-driven Business StrategyExperimentation and Hypothesis TestingFundamentals of Data-driven PrototypingCreation of Minimum Viable Products MVPs)Improving Solutions and ScalingThroughout this engaging course, you'll learn how to identify opportunities for experimentation and prototyping, design experiments to validate or refute hypotheses, and develop practical prototypes to test your ideas in the real world. You'll also gain a deep understanding of the Minimum Viable Product (MVP) concept and its crucial role in driving business success.By measuring and analyzing performance using Key Performance Indicators (KPIs) and other relevant metrics, you'll learn to draw actionable insights and make informed decisions to optimize your business solutions. As you progress through the course, we will equip you with the tools and techniques needed to foster a culture of continuous improvement within your organization through experimentation, prototyping, and data analysis.Our expert instructor brings years of experience in data-related use cases across Europe and has helped thousands of students succeed professionally. With a blend of real-world examples, case studies, and guided exercises, you'll gain hands-on experience applying data-driven methodologies to various business scenarios.Whether you're an aspiring entrepreneur, business owner, manager, or business analyst, this course offers a solid foundation in data-driven business strategy and development, empowering you to drive meaningful change within your organization. Enrol now and start transforming your business strategy with data-driven insights today!

Overview

Section 1: Welcome to the course!

Lecture 1 Welcome & Course Overview

Section 2: Course Introduction and Data-driven mindset

Lecture 2 Chapter Overview

Lecture 3 The Importance of Data-Driven Decision Making

Lecture 4 The Cost of Changing a Product

Lecture 5 Observation vs. Experiment

Lecture 6 Experiment vs. Prototype vs. MVP

Section 3: Experimentation and Hypothesis Testing

Lecture 7 Chapter Overview

Lecture 8 Generating Ideas

Lecture 9 My Additional Techniques for Generating Ideas

Lecture 10 Evaluating and Selecting Ideas

Lecture 11 My Additional Thoughts on Selecting Ideas

Lecture 12 Decompose, Simplify and Refine

Lecture 13 Establish Your Metrics

Lecture 14 Developing Testable Hypotheses

Lecture 15 Introduction to A/B Testing

Lecture 16 A/B Testing Requires Domain Knowledge

Lecture 17 Analyzing Experimental Results and A/B Test Outcomes

Section 4: Fundamentals of Data-Driven Prototyping

Lecture 18 Chapter Overview

Lecture 19 Low- and High-Fidelity Prototypes

Lecture 20 How can I fail as quickly as possible?

Lecture 21 Prototyping is not just for UX

Lecture 22 Prototyping Techniques

Lecture 23 Data Collection Methods for Prototyping

Lecture 24 I love the yellow walkman!

Section 5: Minimum Viable Product (MVP)

Lecture 25 Chapter Overview

Lecture 26 The Concept of MVP

Lecture 27 From Experiments and Prototypes to MVPs

Lecture 28 Value Proposition and Product Assumptions

Lecture 29 Usability Tests and Exhaust Data

Lecture 30 Iterate, Iterate, Iterate

Lecture 31 MVPs are Not Just For Startups

Lecture 32 Know When to Quit Polishing

Section 6: Integrating Lessons Learned

Lecture 33 Chapter Overview

Lecture 34 The Experiment Is The Product

Lecture 35 The Experiment Card

Lecture 36 Embrace Negative Outcomes

Lecture 37 Embrace the Culture of Experimentation and Continuous Improvement

Lecture 38 Let's Summarize and Recap

Aspiring entrepreneurs: Individuals looking to start their own business and seeking guidance on how to make informed decisions based on data-driven insights.,Business owners and managers: Professionals responsible for the strategic direction of their company, aiming to optimize processes and performance through experimentation and prototyping.,Marketing and product managers: Professionals focused on product development, customer acquisition, and retention, seeking to enhance their skills in data-driven decision-making.,Business analysts and consultants: Individuals providing strategic advice to clients, looking to incorporate data-driven methodologies into their toolkit.,Professionals transitioning to business roles: Individuals from non-business backgrounds interested in gaining a solid foundation in data-driven business strategy and development.