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Dive into the heart of data-driven business strategy and learn how to lead and manage in an increasingly data-centric world. Our course helps you understand, experiment, and utilize data in innovative ways to create tangible business strategies. It arms you with the skills you need to not only devise but also iteratively improve and refine dynamic business strategies through a data-driven approach.
Dive into the heart of data-driven business strategy and learn how to lead and manage in an increasingly data-centric world. Our course helps you understand, experiment, and utilize data in innovative ways to create tangible business strategies. It arms you with the skills you need to not only devise but also iteratively improve and refine dynamic business strategies through a data-driven approach.
Data-Driven Leadership: Start your journey with an introduction to the fundamental principles of data-driven business strategy. The course encourages leadership through data insights and sparks your imagination about the transformative potential of data in the business landscape.
Experimentation as a Skill: Develop an experimenter's mindset by stepping into the arena of hypothesis testing. This module empowers you to embrace testing, refining, and learning from data as critical elements of your managerial toolkit.
Prototyping with Precision: Uncover the strategic value of data-driven prototyping. Here, you'll learn to harness your creativity, leverage data effectively, and build innovative prototypes that address real-world needs.
Harnessing the Power of MVPs: Delve into the world of Minimum Viable Products (MVPs), understanding their critical role in driving business success. This section explores how MVPs can be used as a compelling tool to validate and improve business ideas and strategies.
Data for Continuous Improvement and Scaling: The course culminates with lessons on using data insights for continual improvement and scaling of business solutions, emphasizing the power of data in fostering a culture of continuous growth.
Throughout the course, you will master the skills needed to identify opportunities for experimentation and prototyping, learn how to design impactful experiments, and develop practical prototypes. With an understanding of the crucial role of MVPs in a data-driven business world, you will be equipped with a key tool for business success.
By focusing on the practical aspects of working with data, we will teach you to measure and analyze performance using key metrics. By learning to interpret and leverage these insights, you'll develop the ability to make informed decisions to enhance your business strategies and outcomes.
Guided by an experienced instructor with vast knowledge in data-related use cases across Europe, this course blends real-world examples, engaging case studies, and hands-on exercises. You'll gain practical experience in applying data-driven methodologies across a spectrum of 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. It empowers you to drive significant change within your organization using data. Enroll now and reshape your approach to business strategy, leveraging data-driven insights to steer your path to success.
In this lecture, we will provide a brief introduction to the course, its objectives, and the topics we will cover.
In this chapter, you will get an overview of what is ahead of us in the chapter, and learn about the chapter objectives.
Now, we will discuss the role of data-driven decision making in successful business strategy and development.
Within the previous lecture, we were mentioning that cognitive biases are dangerous within decision making. Within this lecture, you can make a small side step, and download a full e-book that your instructor Robert wrote on the topic!
Changing a product in its early lifecycle stages is simple and cheap. Performing changes later can be very tricky and costly!
Let's broaden our horizons and not think only about historical data that we have available, but also about experiments that we can conduct.
Within this lecture, we tackle the most important terms for the sake of this course.
In this lecture, you can find downloadable course slides.
In this lecture, you will get an overview of what is ahead of us in the chapter, and learn about the chapter objectives.
In this lecture, we will begin by discussing the process of generating raw ideas and brainstorming solutions.
Your instructor Robert will share some concrete techniques that helped him generate ideas for valuable projects in the past.
Now, we will focus on assessing the quality of these ideas and choosing the ones that have the most potential.
Your instructor Robert will share several concrete techniques that helped him select and evaluate ideas in the past.
We are almost at a point of turning our raw idea into a concrete hypothesis. In this lecture, we consider the conceptual aspects of simplifying an idea.
If we want to have a concrete hypothesis, we need to also establish metrics that we want to watch for during our experiment.
In this lecture, we will learn how to transform the selected ideas into clear, measurable hypotheses to drive experimentation.
In this lecture, we will introduce the concept of A/B testing and how it fits within the broader framework of experiment design.
Testing is oftentimes misunderstood as a very technical exercise. In this lecture, we overcome this misconception and see the importance of domain knowledge herein!
Finally, it is time to assess the outcomes of your experiments and A/B tests, and refine your hypotheses based on the results.
In this lecture, we will explore low- and high-fidelity prototypes, their benefits, and when to use them in the development process.
Even though this lecture has an odd name, it will reveal a powerful technique that we can incorporate into our prototyping process.
Even though the practice of prototyping is famous within user experience projects, within this lecture, we will see that this approach is applicable in a much wider spectrum of projects.
It is time to explore various techniques for creating prototypes.
In this lecture, we will discuss various data collection techniques to gather insights and feedback during the prototyping phase.
Within this lecture, we will talk about the danger of using self-reported data.
Within this lecture, we cover the basic definition of a MVP, with several case study examples.
This lecture provides an important separation line between experimentation/prototyping and building an MVP.
In this lecture, we cover two unique and absolutely crucial aspects about MVPs.
Yes, surveys and focus groups are valid MVP data collection methods, but this lecture will uncover two new and super useful methods applicable for MVPs!
In this lecture, we will learn how to use iteration and feedback to refine your prototypes and improve your solutions.
MVPs are usually wrongly associated just with startups. This lecture will broaden this horizon.
When we are about to launch an MVP, we should not overburden ourselves in polishing all the details.
This lecture emphasizes an important takeaway from the course - the experiment itself is a valuable product, even if it sometimes might not feel like it.
Introducing the Experiment Card. This handout will help guide you through the process of designing and conducting experiments.
The Value of a Successful 'Failed' Experiment". This brief lecture will help you understand the importance of negative outcomes in the experimentation process.
In this lecture, we will discuss how to foster a culture of experimentation, innovation, and continuous improvement in your organization, and how it contributes to long-term success.
Within this brief lecture, we recap on the most important takeaways from the course.
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