Data Visualization Training Course

Course Code



28 hours (usually 4 days including breaks)


Some knowledge on data plotting X-Y graphs, histograms and scatter plots plus a general understanding of trends in data and time series graphing.


Αυτό το μάθημα προορίζεται για μηχανικούς και υπεύθυνους λήψης αποφάσεων που εργάζονται στην εξόρυξη δεδομένων και την ανακάλυψη γνώσεων.

Θα μάθετε πώς μπορείτε να δημιουργήσετε αποτελεσματικά οικόπεδα και τρόπους για να παρουσιάσετε και να εκπροσωπήσετε τα δεδομένα σας με τρόπο που θα προσελκύσει τους υπεύθυνους λήψης αποφάσεων και θα τους βοηθήσει να καταλάβουν τις κρυφές πληροφορίες.

Machine Translated

Course Outline

Day 1:

  • what is data visualization
  • why it is important
  • data visualization vs data mining
  • human cognition
  • HMI
  • common pitfalls

Day 2:

  • different type of curves
  • drill down curves
  • categorical data plotting
  • multi variable plots
  • data glyph and icon representation

Day 3:

  • plotting KPIs with data
  • R and X charts examples
  • what if dashboards
  • parallel axes mixing
  • categorical data with numeric data

Day 4:

  • different hats of data visualization
  • how can data visualization lie
  • disguised and hidden trends
  • a case study of student data
  • visual queries and region selection



Related Categories

Related Courses

Course Discounts

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Some of our clients

is growing fast!

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

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...)
  • 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:

Apply now!

This site in other countries/regions