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Crash Course Computer Science

Crash Course Computer Science
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This Crash Course in Computer Science offers a quick and practical way to handle digital texts with confidence. You will build a basic analysis tool, specify inputs and outputs, and grasp data modelling, storage, and indexing. Master essential algorithms for tokenisation, frequency analysis, and entity extraction, along with vital topics like bias, ethics, networking, and file formats to execute small yet impactful text-based projects independently.

Elevify advantages

Develop skills

  • Design basic text analysis tools by converting humanities queries into precise algorithms.
  • Structure and store text data using UTF-8 encoding, JSON formats, and proper metadata.
  • Perform fundamental text analysis including tokenisation, word frequency counts, and entity extraction.
  • Evaluate analysis outcomes critically, identifying biases, OCR limitations, and ethical concerns.
  • Integrate components like files, databases, and web access for complete text processing projects.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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