Data Analyst Capstone Project
- Description
- FAQ
The primary goal of this quick start guide is to introduce you to Unreal Engine 4`s (UE4) development environment. By the end of this guide, you`ll know how to set up and develop C++ Projects in UE4. This guide shows you how to create a new Unreal Engine project, add a new C++ class to it, compile the project, and add an instance of a new class to your level. By the time you reach the end of this guide, you`ll be able to see your programmed Actor floating above a table in the level.
This quick start guide shows you how to add assets to your Unreal Engine (UE4) games. By the end of this guide, you`ll know how to use the Project Browser to create new projects and navigate the Content Browser to find and add content. You`ll also know where to find information on the FBX Content Pipeline while learning how to use the Material Editor to modify Materials before applying them to a Static Mesh Actor.
Main Features
- Achieve Hollywood best quality visuals out of the box.
- With complete C++ source code access, you can study.
- Comes with designer-friendly Blueprint visual scripting.
- Unreal Engine provides Robust Multiplayer Framework.
- The built-in Cascade visual effects editor enables particles.
- Unreal Engine 4`s Material Editor makes use of physically-based.
What is the target audience?
- You might be thinking, all of the above – and that is fine. But as a complete beginner learning Unreal Engine 4.
- The rendering system in Unreal Engine 4 is an all-new, DirectX 11 pipeline that includes deferred shading.
Learning a new game engine as a complete beginner is very intimidating. There are a lot of tutorials, documentation and advice already out but how do you start and proceed with learning Unreal Engine 4 is unclear. You get pulled into many different directions and end up confused and overwhelmed.
I have spent a lot of time deconstructing what it takes to learn a game engine from scratch. What it is that you should focus on first and what you should avoid until later.
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Duration: 4 weeks
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Project Type: Individual (or optional team-based)
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Mode: Online
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Assessment Type: Final report + dashboard + presentation
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Difficulty Level: Intermediate
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To successfully complete the capstone, participants should have:
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Basic understanding of:
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Data cleaning techniques
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Descriptive statistics
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Data visualization principles
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Familiarity with at least one of:
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Excel
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SQL
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Python
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Ability to interpret business metrics and KPIs
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This capstone is ideal for:
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Aspiring Data Analysts
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Business Intelligence beginners
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Final-year university students
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Career switchers transitioning into analytics
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Professionals seeking portfolio projects