Establish a strong foundation for data-driven hypothesis generation. You'll learn what makes a powerful hypothesis, how to structure it for actionability and testability, and a systematic process for generating hypotheses. We'll cover the critical elements that transform vague ideas into precise statements that drive superior decisions.
Hypothesis Generation
By the end of this course, you will be able to systematically generate, evaluate, and refine hypotheses using structured methods that drive better decision-making.
Course Starts
April 07, 2025
Estimated Time
6 Weeks
at 4 hours per week
Format
Online, self-paced
Complemented with live support from AI and our instructors
Price
USD 999 USD 499
Discounted for a limited time
Audience
Who is this course for?
Decision Makers
Product managers, business leaders, and operators looking to improve decision-making with data.
Data Practitioners
Analysts, scientists, and engineers working with data to extract meaningful insights.
Objectives
What will you get out of this course?
You will be able to systematically generate, evaluate, and refine hypotheses using structured methods that drive better decision-making.
Formulate actionable, testable hypotheses that are highly likely to lead to superior decision outcomes.
Gain an intuitive understanding of the key techniques through which we can systematically generate hypotheses with data (segmentation, cohort analysis, trend analysis, correlation, regression, among others...).
Interpret data correctly, avoiding common pitfalls and cognitive biases that can lead to false or misleading hypotheses.
Contribute effectively to designing, planning, and supporting hypothesis generation projects that positively impact decision-making.
Evaluate and prioritize opportunities based on systematic approaches for evaluating their potential impact.
Leverage AI effectively in the decision-making process to augment your knowledge and judgment.
Instructor
Who is the course instructor?
This course is taught by Yusuf Saber. Yusuf led data and AI teams at Careem and at Talabat. Yusuf holds a masters degree in Machine Learning and a bachelor degree in Electrical Engineering. Yusuf is also a venture partner at COTU Ventures and an advisor for several high impact technology companies.
Content
What will the course cover?
We took every care to select and organize the course content to maximize value, empowerment, and ease of comprehension for our learners.
Master the core analytical approaches that reveal opportunities in your data. We'll explore visualization techniques, statistical methods, in three fundamental analysis types: group analysis to identify meaningful differences, trend analysis to uncover patterns over time, and relationship analysis to discover connections between variables.
Develop a discerning eye for distinguishing genuine insights from misleading patterns. We'll examine confounding variables, selection effects, random chance, and other common traps that lead to false conclusions. You'll learn to recognize and navigate these pitfalls to ensure your hypotheses reflect true opportunities.
Learn systematic approaches to evaluate and prioritize your hypotheses. You'll discover how to break down complex problems into manageable pieces, adapt insights from similar situations, establish realistic baselines, and account for uncertainty in your estimates. These approaches will help you focus resources on ideas with the greatest potential return.
Discover how to embed hypothesis generation into your organization's processes. We'll explore effective project management, stakeholder collaboration, and cultural elements that support high-impact analysis. You'll learn strategies for creating an environment where data-driven hypotheses consistently drive better decisions.
Questions
Frequently asked questions
General
Optima is an online learning platform that allows everyone, whatever their profession may be, to acquire the data & AI skills they need to achieve their goals. Our approach combines the best of learning science, expert knowledge, and cutting-edge AI models to provide the most effective learning platform to you.
- Awareness of the types of decisions made in your domain.
- No technical knowledge is required. High school math is sufficient.
- No technical knowledge is required. High school math is sufficient.
(1) Onboarding and goal-setting video call with an Optima instructor.
(2) 1-year access to the course on Optima's self-paced learning platform.
(3) Support from both the AI tutor and Optima instructors whenever needed.
(2) 1-year access to the course on Optima's self-paced learning platform.
(3) Support from both the AI tutor and Optima instructors whenever needed.
You'll have access for a full year, including all updates and enhancements made within the period.
Yes. Upon completion of the course, a certificate will be provided which can be showcased on your LinkedIn profile.
You have access to two primary forms of support:
(1) An AI tutor, which is constantly enhanced and trained using the best AI models, provides personalized assistance as you learn and practice new concepts. It’s deeply integrated into our content and designed to offer guidance, corrections, and encouragement, allowing you to learn at your own pace.
(2) Our instructors monitor learners' progress, including interactions with the AI tutor to identify any challenges a learner may be facing. If they identify that a learner needs additional help, instructors proactively reach out to provide support.
Also, learners are always welcome to ask questions directly to instructors via Slack or email."
(1) An AI tutor, which is constantly enhanced and trained using the best AI models, provides personalized assistance as you learn and practice new concepts. It’s deeply integrated into our content and designed to offer guidance, corrections, and encouragement, allowing you to learn at your own pace.
(2) Our instructors monitor learners' progress, including interactions with the AI tutor to identify any challenges a learner may be facing. If they identify that a learner needs additional help, instructors proactively reach out to provide support.
Also, learners are always welcome to ask questions directly to instructors via Slack or email."
Payment
If at any time you realize that the course doesn't address your learning and growth needs, we'll refund you in full.
We accept a variety of payment methods through our secure payment gateway. This includes credit cards, Apple Pay, Google Pay, and others.
Yes. We believe in equal access to learning and have a certain number of seats reserved for those with financial constraints. If you believe you qualify, please reach out to us at team@optima.io.
Have other questions? Please drop us a line at team@optima.io.
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