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Python2 Data Analysis Using Python Print

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 library and its possibilities in data processing and publication.

Accredited course for Continuing Education of Pedagogical Staff

Course length: 3 days (8:30 - 16:00)

Dates

Date PlaceLanguagePrice (without VAT)Availability
12/20/2021 - 12/22/2021 Prague cs 15 600 CZK Free date
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  • 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.
    • Python1 course.
  • This course is intended for

    Developers, users, analysts, BigData specialists, managers and IT staff.

  • Literature

    All participants will get internal OKsystem materials.

  • Hardware

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

  • 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
    • Lesson: Visualization

    Module 3: NumPy

    • Lesson: Installation and import
    • 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 and aggregating data
    • Lesson: Working with time series

    Module 5: Data Visualization

    • Lesson: Preparation and configuration
    • Lesson: Using pandas and other libraries
    • Lesson: Graphs, histograms, heat maps
    • Lesson: Configuring and editing visualizations
OKsystem a.s.
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