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Data Visualization with R Big Data University

Enrollment in this course is by invitation only

About This Course

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large data sets. Data visualization plays an essential role in the representation of both small and large scale data.

One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using the open source language R.

Course Syllabus

Module 1 - Basic Visualization Tools
  • Bar Charts
  • Histograms
  • Pie Charts
Module 2 - Basic Visualization Tools Continued
  • Scatter Plots
  • Line Plots and Regression
Module 3 - Specialized Visualization Tools
  • Word Clouds
  • Radar Charts
  • Waffle Charts
  • Box Plots
Module 4 - How to create Maps
  • Creating Maps in R
Module 5 - How to build interactive web pages
  • Introduction to Shiny
  • Creating and Customizing Shiny Apps
  • Additional Shiny Features

Recommended skills prior to taking this course

  • None

Grading scheme

  • The minimum passing mark for the course is 60%, where the review questions are worth 40% and the final exam is worth 60% of the course mark.
  • You have 1 attempt to take the exam with multiple attempts per question.

Requirements

None.

Course Staff

Saeed

Saeed Aghabozorgi

Saeed Aghabozorgi, PhD is a Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowledge. He is a researcher in data mining field and expert in developing advanced analytic methods like machine learning and statistical modelling on large datasets.

Polong

Polong Lin

Polong Lin is a Data Scientist at IBM in Canada. Under the Emerging Technologies division, Polong is responsible for educating the next generation of data scientists through BDU. Polong is a regular speaker in conferences and meetups, and holds a M.Sc. in Cognitive Psychology.

  1. Course Number

    DV0151EN
  2. Classes Start

    Any Time, Self-Paced
  3. Estimated Effort

    3 hours