Structured Thinking - Resolving The Problem

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Structured Thinking - Resolving The Problem

Published 6/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.59 GB | Duration: 3h 0m


Get your Problem Solving Acumen Right with this Structured Thinking course.

What you'll learn
Analytical thinking - Breaking down complex problems into smaller parts
Problem Solving - Define problem, generate possible solutions, explore alternatives
Critical Thinking - Evaluates arguments, assess assumptions etc.
Decision Making - Assess risks, Select the most appropriate option.
Efficiency: Provides a framework for organizing tasks and Prioritizing

Requirements
Basic knowledge of computer

Description
The Structured Thinking course is an immersive and transformative learning experience designed to develop and refine participants' critical thinking and problem-solving skills through a systematic approach. This dynamic course equips individuals with essential tools and techniques to analyze complex problems, organize information effectively, and communicate ideas with clarity and precision.Throughout the course, participants are exposed to a wide range of frameworks and methodologies that facilitate structured thinking. They learn how to break down intricate problems into manageable components, identify key factors, and discern relationships and dependencies. By employing various analytical techniques, such as decision trees, problem trees, and root cause analysis, participants gain a comprehensive understanding of problems and can develop logical and coherent solutions.The course blends theoretical knowledge with practical application. Participants engage in hands-on exercises and work on real-world case studies, applying structured thinking methods to diverse scenarios. These practical activities enable participants to hone their skills and deepen their understanding of how structured thinking can be leveraged across different domains and industries.Moreover, the course emphasizes the development of critical thinking mindsets and habits. Participants cultivate the ability to think critically, ask probing questions, challenge assumptions, and consider alternative perspectives. They also enhance their communication skills by learning how to present complex ideas in a clear, concise, and compelling manner.

Overview
Section 1: Introduction to Structured Thinking

Lecture 1 Introduction

Lecture 2 Why Structured thinking is required

Lecture 3 3. Who needs Structured Thinking

Section 2: Introduction to the Course

Lecture 4 1. Instructor Introduction

Lecture 5 2. Methodology

Section 3: 3. Structured Thinking for Data Science

Lecture 6 1. Case Study - Problem Solving without Structured Thinking

Lecture 7 2. Feedback on Case Study 1

Lecture 8 3. Case Study - Problem Solving using Structured Thinking

Lecture 9 4. Feedback on Case Study 2

Section 4: 4. Role of Structured Thinking in Data Science Lifecycle

Lecture 10 4. Role of Structured Thinking in Data Science Lifecycle

Lecture 11 2. Structured Thinking at Each Stage of the Data Science Lifecycle

Section 5: 5. Understanding and Defining the Problem Statement

Lecture 12 1. Importance of Defining the Problem Statement

Lecture 13 2. 5-Step Framework

Lecture 14 3. TOSCAR Framework for Defining a Problem

Lecture 15 4. Examples using TOSCAR

Lecture 16 5. Decomposition

Lecture 17 6. Common Pitfalls to Avoid while Defining a Problem

Lecture 18 7. Framing the Problem Statement for the Course

Section 6: 6. Hypothesis Building

Lecture 19 1. What is Hypothesis Building & Framework

Lecture 20 2. Why Hypothesis Building is Important and Who Should be Involved

Lecture 21 3. How to Build a Comprehensive Hypothesis Set

Lecture 22 4. Hypothesis Building Example

Lecture 23 5. Best Practices & Pitfalls

Lecture 24 6. Building Hypothesis for this Course's Problem Statement

Section 7: 7. Data Extraction and Cleaning

Lecture 25 1. Mapping Data Elements to Hypothesis

Lecture 26 2. Mapping Teams to Data Elements

Lecture 27 3. Framework CASED

Lecture 28 4. Data Pull and Clean

Lecture 29 5. Validating Hypothesis

Lecture 30 6. Summary

Lecture 31 7. Link Back to Business Problem

Lecture 0 1. What is a Predictive Algorithm

Lecture 0 2. Modelling Framework TESTS

Lecture 0 3. Target Variable Discovery

Lecture 0 4. Evaluation Metric

Lecture 0 5. Sampling

Lecture 0 6. Train your Model

Lecture 0 7. Score new population

Lecture 0 8. Summary

Lecture 0 9. Link back to business problem

Lecture 0 1. From Model to Strategy

Lecture 0 2. Dashboards

Lecture 0 3. Link back to Problem Statement

Lecture 0 1. Importance of Communication

Lecture 0 2. Pyramid Principle for Communication

Lecture 0 3. BONUS - Components of the Pyramid Principle (SCQA and MECE)

Lecture 0 4. Structured Email Writing

Lecture 0 5. Structured Note-Taking

Lecture 0 6. Introduction to Effective Presentations

Lecture 0 7. 6-Step Framework for Building Effective Presentations

Lecture 0 8. BONUS - SCQA Framework for Presentation Introductions

Lecture 0 9. Tips and Best Practices for Building Presentations

Lecture 0 10. The Art of Storytelling

Lecture 0 11. 3-Step Storytelling Framework

Lecture 0 12. Structured Thinking for Blogging

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