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About the course


Výuka probíhá v angličtině.

The course will be held in English.

Data science is about transforming raw data into meaningful information and knowledge to drive innovation, improve efficiency and create value across industries and domains. Whether it's predicting customer behaviour, analysing financial markets or diagnosing disease, data science plays a crucial role in addressing a wide range of challenges and opportunities in today's data-driven world.

In this course you will delve into the fundamentals of data science, explore its wide-ranging applications across different industries, and gain insight into the central role of data scientists, understanding both their responsibilities and the essential skills required to succeed in the field. 

This course is part of the Data & AI Scientist learning path.

Who is this course for?

  • For women who are interested in data science, want to know more about the field and want to learn the basics.

Prerequisites

  • Comfort with Excel: Basic understanding of Microsoft Excel or similar spreadsheet software, including knowledge of fundamental functions and data manipulation techniques.
  • Basic coding experience: Idea about programming in Python or R, knowledge of basic programming constructs like variables, loops, and conditionals. 
  • English Proficiency: Ability to read, write, and communicate effectively in English, as the course will be conducted in English.
  • Basic Mathematics Knowledge: Basic understanding of high school-level math, particularly algebra and basic statistics (mean, median, mode, basic probability).

 

By the end of the course you will:

  • Understand the basics of data science and its applications
  • Have a good understanding of what a data scientist does and the skills required for the role
  • Have a basic knowledge of statistical methods essential for data analysis
  • Be familiar with the basics of Python
  • Have an idea of the main methods, tools and libraries used in data science

Course content

  • The Introduction: Understanding Data Science
  • Basics of Statistical Methods
  • Intro and Review of Python Programming
  • Methods and Tools in Data Science
  • Practical Exercises with Data in Python
  • Overview of Advanced Topics in Data Science 

 

Related courses

Are you interested in data science? Get a solid grounding in the field with the Data Science Foundations in Python course, and deepen your knowledge and skills in an advanced Data Science and AI course.

This course is part of the Data & AI Scientist learning path.

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9:00
17:00
Hlavní lektor
Adéla Kostelecká
Lecturer
Kontaktní osoba
Karolína Žánová