107 – Data Science
Serhii Holub
Annotation

Dear Reader,

If you are reading this paper, you are most likely a student who has previously chosen a non-IT-related field. But worry not, for we will teach you how to use digital tools to gain a competitive edge in the industry where you are a professional. One of these tools is Data Science. Today, every industry has a high demand for professionals who excel in their field and know how to work with data. As the upcoming professional, you need to be able to collect, process, and analyze data and extract information and knowledge from it, which will help you make business decisions, build strategies, or draw conclusions about future developments.

You will also learn how to use existing software systems. It's interesting while learning, and it's highly paid when you master it. Without further hesitation, let's get started!

Objectives

Create conditions to enhance the competitive advantages in the job market for students who are pursuing non-IT specialties by teaching practical skills and theoretical knowledge in data processing. Students learn to perform initial processing, storage, and transformation of observation results, align client requirements with the expected outcome, classify their tasks, and execute these tasks by solving a sequence of typical data mining problems using machine learning, neural networks, and other model synthesis tools. With diligent study, students will be able to extract information and knowledge from observation results.

Keywords
Data Mining, Machine Learning, Intelligent computer systems, classification, clustering, pattern recognition, model synthesizers, neural networks, databases, algorithm libraries, Python
Date of Creation
29.05.2024
Duration
180 hours
Language
English
License
Creative Commons BY-SA 4.0
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