Visual Analytics – Data science Training Course

Код на курса

visa_LBG

Продължителност

14 hours (usually 2 days including breaks)

Изисквания

Experience of analysis, statistics and producing data an advantage

Общ преглед

This classroom based training session will contain presentations and computer based examples and case study exercises to undertake.

План на курса

  1. Introduction to Visual Analytics
    • 5 Principles of Data Visualisation
    • Tables vs charts
    • What makes visualisations effective
    • Gestalt Principles of Visual Perception
  2. Types of charts and how to choose the right one
    • Common types of charts
    • Choosing the right chart for your data
    • Understanding your audience
    • Handling missing data
  3. Advanced charts
    • Sankey
    • Radar
    • Treemap
    • Heatmap
    • Boxplot, violin plot
    • Choosing the right chart for your data
    • Choosing the right chart for your audience
    • Eliminating clutter from charts
  4. Storytelling with data
    • The importance of storytelling
    • Building a narrative structure
    • Drawing attention
    • Including call to action
  5. Creating dashboards and infographics
    • Exploratory vs explanatory analysis
    • How to convey your message
    • Live presentation vs report
    • Visualisations that are simple, informative and engaging
    • The characteristics of a good dashboard
    • The characteristics of a good infographic
  6. Common mistakes and misleading charts
    • Charts that should be avoided
    • How we are being deceived by colour, scale and size
  7. Visual analytics case studies

 

Oтзиви от потребители

★★★★★
★★★★★

Свързани Kатегории

Свързани Kурсове

Специални оферти

Абонамент за специалните оферти

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НЯКОИ ОТ НАШИТЕ КЛИЕНТИ

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We are looking for a good mixture of IT and soft skills in Bulgaria!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

To apply, please create your trainer-profile by going to the link below:

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