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Decision Intelligence

By the end of this course, you will have the conceptual understanding and practical skills to use data and AI effectively to make better decisions that drive meaningful impact. The course is intuition-focused requiring minimal math and no coding experience.

Course Starts

October 1, 2024

Estimated Time

8 Weeks

at 2 to 4 hours per week

Format

Online, self-paced

Complemented with live support from AI and our instructors

Price

USD 699

Take the Course

Course Starts

October 1, 2024

Estimated Time

8 Weeks

at 2 to 4 hours per week

Format

Online, self-paced

Complemented with live support from AI and our instructors

Price

USD 699

Audience
Who is this course for?
Decision Makers
Managers and leaders in product, operations, and business roles who want to enhance the quality of their decisions with data and AI.
Data Practitioners
Data leaders and practitioners who want to gain a comprehensive understanding of how data and AI can enhance decision quality.
Objectives
What will you get out of this course?

You will be able to leverage data and AI effectively to improve the quality of your decisions.

Take the Course

Have a deep understanding of the optimal decision-making process as illuminated by decision science.

Ask the right data questions to inform your particular decision situation.

Gain an intuitive understanding of the key techniques through which data can answer your questions (measurement, hypothesis generation, hypothesis testing, forecasting, and simulation).

Contribute effectively to designing, planning, and supporting the data projects that inform decision-making.

Interpret results correctly, avoiding the pitfalls and cognitive biases that can affect even the most experienced decision-makers.

Leverage AI effectively in the decision-making process to augment your knowledge and judgment.

Experience
What is the course experience like?

Each week you'll acquire essential concepts and practical skills through instructor-led sessions and hands-on practice with real-world scenarios.

Concept

Gain the understanding you need to use data and AI effectively to enhance your decision making.

Our weekly instructor-led sessions develop this understanding through engaging real-world scenarios from diverse industries, empowering decision-making frameworks, and dynamic visualizations that learners interact with to explore key concepts. Embedded comprehension checks assess and reinforce understanding throughout the sessions.

2 Hours Weekly

Live on Zoom

Concept
Practice

Develop the hands-on skills to apply what you learned effectively to real-world problems.

You'll apply what you learned through guided projects on our learning platform, where you'll formulate questions, design solutions, interpret results, and make decisions for realistic case studies. At every step, you'll receive helpful feedback from our trained AI-Tutor as well as personalized guidance from our instructors, ensuring you can effectively put your skills into practice.

1 to 2 Hours Weekly

Self-paced on platform

Practice
Support

Our instructors and AI tutor are with you along your learning journey.

We provide Supervised Learning Hours, where AI-driven feedback meets instructor oversight in real-time, ensuring personalized support and guidance on your learning journey.

24/7 On Platform

Support
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.

Instructor
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.

In this foundational part of the course, we will introduce a structured approach to making decisions that optimally leverages data. We'll then explore how to formulate the right data questions to guide data collection and analysis, ensuring that the insights we gather directly support our decision-making needs.
This part focuses on the core techniques for measuring performance. You'll gain a deep understanding of how to design, implement, and interpret metrics. We'll also cover techniques for estimating key metrics when we only have data from a sample or subset of cases, which is a common challenge in real-world decision-making scenarios.
In this part, you'll learn how to generate actionable hypotheses from data. You'll learn how to identify trends, make comparisons, and detect relationships between variables. By the end of this part, you'll be able to ask the right questions, interpret results accurately while avoiding common pitfalls, and spot potential opportunities.
You'll learn how to test your hypotheses rigorously. In particular, you'll learn how to design and conduct experiments to assess the impact of your actions, as well as how to interpret the results and draw valid conclusions. By the end of this part, you will be able to measure the true impact of your decisions, and refine your strategies based on evidence.
You'll learn powerful techniques for predicting future outcomes to inform our decisions today. We'll explore how to leverage historical data and advanced modeling techniques to forecast trends and estimate the likelihood of different scenarios. By the end of this part, you'll be equipped to make forward-looking decisions.
Discover how simulation techniques can help us size potential opportunities, answer 'what-if' questions to estimate the impact of possible decisions. This will equip you with a valuable tool for comparing the potential outcomes of different decisions before committing to them.
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.
(1) Onboarding and goal-setting video call with an Optima instructor. (2) 2-year access to the course on Optima's self-paced learning platform. (3) Support from both the AI tutor and Optima instructors whenever needed. (4) Option to learn the course multiple times in different languages (SQL, Python and/or R) at no additional cost, if applicable.
You’ll have access for 2 years, including all future 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."
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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Acquire the skills to extract answers to questions from data.
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