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Data Collection

Data Collection

“More data beats better algorithms” – this quote by Peter Norvig emphasizes the great importance of data in machine learning. This part of the program describes data structures, relational and non-relational databases, means of interacting with databases, manipulating data and merging datasets from different sources.

Curriculum Overview

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Jul 15

SQL for Data Science Registration

15.07-24.07

15 July 09:00 - 12:00
  • Reading and writing files;
  • Relational databases;
  • SQL queries;
  • Workbench;
  • Internet data (API, HTTP requests);
  • Data cleaning.

Duration: 10 days

(Monday to Friday)

online

Fee: 4500 UAH

TOP skill you will learn:

  • How to use Python packages for data mining;
  • How to read complex math equations that are standing behind the machine learning algorithms;
  • How to get data from different sources (files, databases, API requests);
  • How to write complex SQL queries;
  • How to manipulate data and draw insights from large data sets;
  • How to create clear and human readable data visualization;

This is exactly for you if you are:

  • a person looking for a career change
  • a graduate from universities looking for a job in Data Science
  • a developer with a mathematical mindset who would like to get career growth
  • a business owner who would like to utilize data analysis and implement data-driven and AI projects
  • a Data Scientist practitioner who wants to systematize the knowledge and to master Deep Learning