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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
Companies wanting to find the gold within their data realized it wasn’t possible if they hadn’t yet built the mine. Data engineers lay the foundations that make data science possible.
https://www.datacamp.com/courses/understanding-data-engineering
In this course, you’ll learn about a data engineer’s core responsibilities, how they differ from data scientists, and facilitate the flow of data through an organization. Through hands-on exercises you’ll follow Spotflix, a fictional music streaming company, to understand how their data engineers collect, clean, and catalog their data. By the end of the course, you’ll understand what your company’s data engineers do, be ready to have a conversation with a data engineer, and have a solid foundation to start your own data engineer journey.
Course Content
| Section | Details |
| 1 What is data engineering? | In this chapter, you’ll learn what data engineering is and why demand for them is increasing. You’ll then discover where data engineering sits in relation to the data science lifecycle, how data engineers differ from data scientists, and have an introduction to your first complete data pipeline. |
| 2 Storing data | It’s time to talk about data storage—one of the main responsibilities for a data engineer. In this chapter, you’ll learn how data engineers manage different data structures, work in SQL—the programming language of choice for querying and storing data, and implement appropriate data storage solutions with data lakes and data warehouses. |
| 3 Moving and processing data | Data engineers make life easy for data scientists by preparing raw data for analysis using different processing techniques at different steps. These steps need to be combined to create pipelines, which is when automation comes into play. Finally, data engineers use parallel and cloud computing to keep pipelines flowing smoothly. |
Cost, hours and other details
| Hours to earn certificate | 2 Hours |
| Cost | FREE |
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