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    Data-Driven Business: Experiment, Prototype & Improve

    Posted By: ELK1nG
    Data-Driven Business: Experiment, Prototype & Improve

    Data-Driven Business: Experiment, Prototype & Improve
    Published 7/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.41 GB | Duration: 4h 6m

    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.