Data Visualization Solutions for Beginners

Data Visualization Solutions for Beginners

English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 4 Hours | 917 MB

Take your R, Python, and Tableau Data Visualization Skills from Rookie to Pro!

Data visualization has become very important due to the increase in processing power and organizations being able to unlock their data from jail. It has become the best way to report results and findings to your audience in the most simple and gripping way. However, there is a shortage of visualization experts who can use various tools to explain to stakeholders not just historical data, but also the machine learning results.

In this course, we’ll be using tools such as Tableau, which is the best visualization tool as ranked by the Gartner Report 2017, as well as open source tools such as R and Python to understand data and share findings between fellow data scientists.

This course takes you gradually from basic, fundamental topics to advanced topics with a ton of examples. It also focuses on making you independent of these tools, so you can carry forward your visualization knowledge to any other tool you may need to use. We cover three tools in visualization, namely R, Python, and Tableau and setting up your basic framework for any project you take up. By the end of this course, you’ll have the fundamentals in place, so you can make visualizations on your own with the correct use of various visualization elements.

This course moves gradually from the basics to advanced, and includes tons of example to get you familiar with vis and help you quickly make your own, while covering common problems that individuals new to this field encounter.

What You Will Learn

  • Understand data types from the perspective of visualization
  • See the explanatory and exploratory types of visualization and their respective stakeholders
  • Explore the uses of colors, hue, and size
  • See type of graphs and know when to use them based on type of data at hand
  • Interpret visualizations using open source tools such as R and Python
  • Get acquainted with Tableau and get a deeper understanding of drill-down analysis
  • Create and present interactive storyboards
Table of Contents

01 The Course Overview
02 Installing R and RStudio
03 Installing Anaconda Navigator
04 Installing Tableau
05 Different Types of Data
06 Types of Visualization
07 Downloading Data from Online Sources
08 Downloading Data from Online Sources (Continued)
09 Demonstrations Using R
10 Demonstrations Using Python
11 Demonstrations Using R
12 Demonstrations Using R (Continued)
13 Demonstrations Using Python
14 Introduction to Tableau
15 Making Simple Visualizations in Tableau
16 Making Simple Visualizations in Tableau (Continued)
17 Maps and Their Power
18 Maps and Their Power (Continued)
19 Let’s Create a Story
20 Understand, Load, and Reuse!
21 Understand, Load, and Reuse! (Continued)
22 Dashboards and Power of Actions
23 Dashboards and Power of Actions (Continued)
24 Time for Presentation
25 Mini Project