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IntroductionWelcome to the Bootcamp
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Our approach
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Why Hackathons?
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What is Data Engineering & DevelopmentUnderstanding Data Engineering
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Problem-Solving for Developers - A Beginner's Guide
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Understanding Business & Client NeedsRunning hypothesis-driven experiments using the MVP
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The Hackathon Problem Brief
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Task: Identify the MVP1 Quiz
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From MVP to “MLP” (Minimum Lovable Product)— Building What Your Customers Care About
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User and Player Types in Gamified Systems
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The Octalysis Framework for Gamification & Behavioral Design
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The Strategy Dashboard for Gamification Design
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Task: Evaluate client needs & wants1 Quiz
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10 tips for writing good user stories
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A Complete Guide to Data-Driven Customer Acquisition
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Design & DevelopmentDesigning Enterprise Level End to End Systems from Idea to Product1 Quiz
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Database design
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Classifying data models
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Deciding fact and dimension tables
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Entity Relationship Diagram (ERD) Tutorial - Part 1
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Entity Relationship Diagram (ERD) Tutorial - Part 2
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Querying the dimensional model
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Conceptual, Logical and Physical Data Models
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Test Your Knowledge on Database Design1 Quiz
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Task: Create ERDs for Your Client1 Quiz
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Intro to Programming
This is a bonus piece of content for anyone completing this hackathon.
Having a basic knowledge of programming for all team members on a data-focused project is a big ‘plus’ that can improve communication and expectation management within the team.
Get started with Python, if you have no prior coding experience, through the introductory course on Kaggle: https://www.kaggle.com/learn/intro-to-programming
Course Content
| Section | Details |
| 1 Arithmetic and Variables | Make calculations, and define and modify variables. |
| 2 Functions | Organize your code and avoid redundancy. |
| 3 Data Types | Explore integers, floats, booleans, and strings. |
| 4 Conditions and Conditional Statements | Modify how functions run, depending on the input. |
| 5 Intro to Lists | Organize your data so you can work with it efficiently. |
Cost, hours and other details
| Hours to earn certificate | 5 (estimated) |
| Cost | No cost, through Kaggle Learn Courses |
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