Path: blob/master/final_project/01-lightning-talk/README.md
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Final Project, Part 1: Lightning Talk
PROMPT
In the field of data science, projects are practical. A good project is manageable and relates to your working domain; however, it can be hard to filter and scope good ideas when you're new to a field. That's where Part 1 of your final project comes in.
One of the best ways to test expectations and get feedback is to share your ideas with others. For part one of your final project, you'll come up with a few different ideas you could potentially solve with data, then present them in small groups to the class.
You'll get the opportunity to get immediate feedback and guidance in order to help you choose an awesome final project idea. Keep in mind that it's important to run though this ideation process a few times with different ideas to clarify what your project should focus on.
Goal: Prepare a one-minute lightning talk that covers 3 potential project topics.
DELIVERABLES
Lightning Presentation
Requirements: You should present from a prepared deck that explains the following:
The Problem: What's the background and scope of the project idea? What problem are you attempting to address or solve? Who may it matter to?
Data: What data exists to help solve this problem? Where is it coming from? What does the data look like? What is the observation?
Hypotheses: Given the problem and data you're aware of, what do you believe is the solution? What does success look like?
Detailed Breakdown: Your presentation must:
Explain three potential projects, including: a problem statement, a hypothesis, and potential data sets
Be 2-3 minutes in duration
Demonstrate familiarity with the domain of the data
Bonus:
High level data points can help show the "improvement" scope that's available
Cite similar/previous work that will better inform your strategy that can be taken
Submission:
Present materials in class
Submit presentation to instructor via email.
TIMELINE
Deadline | Deliverable | Description |
---|---|---|
Lesson 8 | Part 1 - Lightning Presentation | Present 3 Problem Statements |
Lesson 14 | Part 2 - Experiment Writeup | Research Design Problem Statement & Outline |
Lesson 16 | Part 3 - Exploratory Analysis | Dataset Approval and Exploratory Analysis |
Lesson 18 | Part 4 - Notebook Draft | iPython Notebook & Model Draft |
Lesson 20 | Part 5 - Presentation | Present Your Final Report |
EVALUATION
Your project will be assessed using the following standards:
Identify the Problem
Rubric: Click here for the complete rubric.
Requirements for these standards will be assessed using the scale below:
While your total score may serve as a helpful gauge of whether you've met project goals, specific standards scores are more important since they can show you where to focus your efforts in the future!
RESOURCES
Suggestions for Getting Started
Try putting together a three-slide deck for each of your project ideas, in order to stay organized.
Look for example (or real) data to get a feel for what information exists that you can use.
Think about how much time you can dedicate to the project each week, and where you think the largest challenges will lie.
Think about this as an elevator pitch: be prepared, do some light research, but don't go down any "rabbit holes".
Additional Links
For overall project ideas, consider looking at former General Assembly Data Science Projects