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Data-Science-For-Beginners/4-Data-Science-Lifecycle/16-communication/README.md

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# The Data Science Lifecycle: Communication
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
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## Introduction
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Lets start this lesson by defining what is means to communicate. **To communicate is to convey or exchange information.** Information can be ideas, thoughts, feelings, messages, covert signals, data anything that a **_sender_** (someone sending information) wants a **_receiver_** (someone receiving information) to understand. In this lesson, we will refer to senders as communicators, and receivers as the audience.
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### What is Communication?
### Data Communication & Storytelling
### Types of Communication
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## Effective Communication
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### Your Responsibilities as a communicator
### 1. Begin With The End In Mind
### 2. Understand Your Audience & Communication Method
### 3. Approach it Like an Actual Story
### 4. Use Meaningful Words & Phrases
### 5. Use Emotion
# Communication Case Study
# Conclusion
### Summary of main points
### Post Lecture Quiz
### Review & Self Study
### Recommended Resources
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)