Data-Driven Business: Experiment, Prototype & Improve

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Robert Barcik,Jana Gecelovska,Patrik Zatko

3:48:40

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1 - Welcome to the course

1 - Welcome Course Overview.mp4

03:47

2 - Course Introduction and Datadriven mindset

2 - Chapter Overview.mp4

02:11

3 - The Importance of DataDriven Decision Making.mp4

13:02

4 - The Cost of Changing a Product.mp4

03:47

5 - Observation vs Experiment.mp4

06:03

6 - Experiment vs Prototype vs MVP.mp4

04:52

3 - Experimentation and Hypothesis Testing

7 - Chapter Overview.mp4

01:49

8 - Generating Ideas.mp4

10:27

9 - My Additional Techniques for Generating Ideas.mp4

10:50

10 - Evaluating and Selecting Ideas.mp4

06:03

11 - My Additional Thoughts on Selecting Ideas.mp4

07:16

12 - Decompose Simplify and Refine.mp4

08:21

13 - Establish Your Metrics.mp4

12:54

14 - Developing Testable Hypotheses.mp4

04:58

15 - Introduction to AB Testing.mp4

16:22

16 - AB Testing Requires Domain Knowledge.mp4

12:44

17 - Analyzing Experimental Results and AB Test Outcomes.mp4

19:11

4 - Fundamentals of DataDriven Prototyping

18 - Chapter Overview.mp4

03:10

19 - Low and HighFidelity Prototypes.html

20 - How can I fail as quickly as possible.mp4

06:37

21 - Prototyping is not just for UX.html

22 - Prototyping Techniques.mp4

07:00

23 - Data Collection Methods for Prototyping.mp4

05:41

24 - I love the yellow walkman.mp4

03:34

5 - Minimum Viable Product MVP

25 - Chapter Overview.mp4

01:48

26 - The Concept of MVP.mp4

07:23

27 - From Experiments and Prototypes to MVPs.mp4

07:09

28 - Value Proposition and Product Assumptions.html

29 - Usability Tests and Exhaust Data.mp4

12:52

30 - Iterate Iterate Iterate.mp4

12:31

31 - MVPs are Not Just For Startups.html

32 - Know When to Quit Polishing.html

6 - Integrating Lessons Learned

33 - Chapter Overview.mp4

01:35

34 - The Experiment Is The Product.mp4

02:28

35 - The Experiment Card.mp4

04:49

36 - Embrace Negative Outcomes.mp4

03:11

37 - Embrace the Culture of Experimentation and Continuous Improvement.html

38 - Lets Summarize and Recap.mp4

04:15

Description

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.

Who is this for?

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.

What You Need to Know?

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.

More details

Description

Unleash your potential and cultivate an experimenter's mindset with our transformative course, "Data-Driven Business: Experiment, Prototype & Improve." This comprehensive program guides you through the fascinating world of data-centric decision-making, and it is designed to intrigue and educate learners at any stage in their professional journey.
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.
Who this course is for:
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.

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Data Science

Prototyping

Robert Barcik

Instructor's Courses

HI! My name is Robert, and I have always had two personalities - data scientist and instructor. As a data scientist, I spent five years in Swedish academia and five years within Austrian banking groups. During these years, I understood that having an intuitive and authentic understanding of the field counts the most to deliver worthwhile projects. As for my instructor persona, you can hear my voice on numerous platforms that helped thousands of students grow into the topics of data science, research, business, and math. Examples include several universities, MBA programs, localization of KhanAcademy, and even custom-tailored corporate training. Nowadays, I hope to liberate and democratize the knowledge of the fields I love as much as possible! I am looking forward to sharing my knowledge and passion with you the same way I did with hundreds of business professionals and data scientists that I trained.

Jana Gecelovska

Instructor's Courses

Hi there! My name is Jane, and I majored in environmental studies. While finishing my diploma, I realized how crucial it is to use data to tackle numerous ecological questions. I hence continued my growth into the field as a self-learner. In the past, I worked as a data analyst within e-commerce and I genuinely believe that anyone can undertake such a career change. My passion is to help other self-starters grow into the topic and change their careers, just like I did. I am one of the co-authors of Authentic Data Science and currently work as a freelance data science trainer with a particular interest in creating Python practice materials that have been used to teach hundreds of students.

Patrik Zatko

Instructor's Courses

Hi! I am Patrik, and I am a schooled mathematician and quant. During my studies in Vienna, I fell in love with data science. I hence decided to dedicate seven years to delivering data-driven projects in 8 countries within one of the largest banking groups of Central Europe. I focus on advanced modelings, such as visual recognition, natural language processing, or causal modeling. I dedicate my time nowadays to opening the doors for anyone interested in growing into these fields, as I did to hundreds of professional data scientists that I trained. I currently work as a Head of Advanced Analytics for one of the largest retail chains in Europe.

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