Subsidized course „Jsem v kurzu“

Data Analysis Using Python

The three-day course aims to familiarize students with the possibilities of working with data, to perform transformations, analysis and visualization in Python. Its content is to learn to use packages and modules for work with data. It focuses mainly on the Pandas, NumPy and Dask libraries and its possibilities in data processing and publication.

Code
Python2

Course length
3 days (8:30 – 16:00)

Form
In our classroom or online

Main course tutor

Ing. Tomáš Fidler

Ing. Tomáš Fidler

Cisco instructor

More about tutor

Dates

12/16/2024 – 12/18/2024 Prague Free date 15 600 CZK
without VAT
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Buy with the subsidy program "Jsem v kurzu" 15 600 CZK 2 808 CZK
without VAT
Order on Integrated
MoLSA Portal  

This course is intended for

Developers, users, analysts, data architects, managers and IT staff

Syllabus

Module 1: Introduction to Data Handling

  • Lesson: Environment, tools, settings
  • Lesson: Data Manipulation 
  • Lesson: Packages, modules, libraries

Module 2: Introduction to pandas

  • Lesson: Installing pandas and other components
  • Lesson: The Basics of Pandas
  • Lesson: Objects
  • Lesson: Data import and processing

Module 3: NumPy

  • Lesson: NumPy Installation
  • Lesson: Working with Data
  • Lesson: Data transformation and data analysis

Module 4: Pandas Objects and Working with Data

  • Lesson: Working with Data
  • Lesson: Data Handling and Transformation
  • Lesson: Reading and Writing Different Types of Data Formats
  • Lesson: Cleaning and filtering data
  • Lesson: Grouping, aggregating data and pivoting data
  • Lesson: Working with time series

Module 5: Dask

  • Lesson: Dask module introduction
  • Lesson: Data manipulations and transformations

Module 6: Data Visualization

  • Lesson: Preparation and configuration
  • Lesson: Using pandas, mathplotlib and other modules
  • Lesson: Visualizations
  • Lesson: Configuring and editing visualizations

Students will be able to

  • Set up the environment and necessary components
  • Work with data
  • Perform data transformations
  • Perform data visualizations

Course requirements

  • Basic work with computer and basics of programming
  • Python fundamentals

Hardware

Classrooms are equipped with high-performance computers with Internet access and the possibility of wireless connection.

Literature

All participants will get internal OKsystem materials.

PDF to download

Prices do not include VAT. OKsystem a.s. reserves the right to change dates and prices of courses.

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Need some advice?

Do not hesitate to contact us. We are at your disposal and will be happy to help you.

Mgr. Barbora Záhlavová

Mgr. Barbora Záhlavová

More information about courses


+420 734 525 195
zahlavova@oksystem.cz

Ing. Lumír Vojtěchovský

Ing. Lumír Vojtěchovský

More information about courses


+420 724 332 135
vojtechovsky@oksystem.cz

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What are the main advantages of our training centre?

About us

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Do not hesitate to contact us with any questions you may have.

Simona Dianová

Simona Dianová

Training and test organization


+420 236 072 251
dianova@oksystem.cz

Ing. Dana Černá

Ing. Dana Černá

Certification tests


+420 236 072 318
cernad@oksystem.cz

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OKškolení is part of OKsystem a.s.