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Learning to Make Better Decisions [Decision-Making]

42m 15s
English
Paid

Discover the secrets of decision-making psychology! Learn how to overcome cognitive biases, handle uncertainty, and apply effective thinking strategies to make better decisions at work and in life.

Why Should You Study Decision-Making?

Decisions shape our lives, but do you ever consider what influences them? This course will be your guide into the world of decision-making psychology. You will learn to identify hidden biases, enhance your thought processes, and make conscious, effective decisions.

What You Will Gain

The course offers real-life cases, practical assignments, and valuable knowledge on how to deal with uncertainty, avoid cognitive traps, and find a balance between intuitive and analytical approaches. By the end, you will be ready to confidently tackle complex challenges.

What Does the Course Cover?

Foundations of Decision Making

  • Understanding how decisions are made: logic, emotions, and habits in action.

Cognitive Biases

  • Learn to recognize and avoid common thinking errors such as Narrow Framing and Loss Aversion.

Optimizing Thought Processes

  • Understand when to rely on intuition (System 1) and when to use analytical thinking (System 2).

Dealing with Uncertainty

  • Master strategies to overcome the fear of uncertainty and learn how to leverage opportunities even under risk.

Real-Life Cases

  • Study examples like Netflix's innovative HR practices to understand decision-making in practice.

Halo Effect and Perception

  • Learn how initial impressions can skew decisions and how to make more objective judgments.

Interactive Learning in Practice

  • Apply acquired knowledge in the "Tentacle Tents" project, solving tasks using decision-making strategies and AI.

Practical Tools for Life

  • Master useful tools and methods that will help you make better decisions in everyday life and career.

About the Author: Zero To Mastery

Zero To Mastery thumbnail

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

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#1: Introduction
All Course Lessons (9)
#Lesson TitleDurationAccess
1
Introduction Demo
03:53
2
The Monty Hall Problem
06:17
3
Narrow Framing
07:10
4
Loss Aversion
04:25
5
Uncertainty Aversion
03:54
6
System 1 and System 2
07:03
7
The Halo Effect
02:59
8
Utility
03:57
9
Case Study: How Netflix Reinvented HR
02:37
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Books

Read Book Learning to Make Better Decisions [Decision-Making]

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1Tentacle Tents PDF

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Frequently asked questions

What are the prerequisites for enrolling in this decision-making course?
There are no formal prerequisites for this course. It is designed for anyone interested in improving their decision-making skills, regardless of their background. However, having a basic understanding of psychology and logic may enhance your learning experience.
What kind of projects or case studies will I work on in this course?
The course includes real-life case studies such as Netflix's innovative HR practices. These examples help you understand decision-making in practice and apply the concepts learned to real-world scenarios.
Who is the ideal audience for this course?
This course is ideal for individuals seeking to understand and improve their decision-making processes, including professionals, students, and anyone interested in psychology and cognitive science. It is particularly beneficial for those in leadership or managerial roles.
How does this course's depth and scope compare to similar courses?
This course offers a focused exploration of decision-making psychology, covering cognitive biases, uncertainty, and thought processes. It combines theoretical knowledge with practical applications, setting it apart from courses that may focus solely on theory or practice.
What specific tools or frameworks will I learn to use in this course?
You will learn to use frameworks like System 1 and System 2 thinking to distinguish when to rely on intuition versus analytical reasoning. Additionally, you will explore concepts such as Narrow Framing and Loss Aversion to identify and mitigate cognitive biases.
What topics are not covered in this course?
The course does not cover advanced statistical modeling or quantitative decision-making techniques. It focuses more on psychological aspects and qualitative strategies for improving decision-making processes.
What is the expected time commitment for completing this course?
The course consists of 9 lessons. While the total runtime is not specified, students should allocate time for both the lessons and the practical assignments, which are essential for mastering the concepts and skills taught.