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Data Visualization Data Visualization Mastery E-Learning

Product description
Data Visualization Mastery E-Learning Data Visualizations play a key role in helping companies make data driven decisions. This Skillsoft Aspire journey will help you understand the significance of creating user-centered visuals, best practices to follow along with various types of charts, plots, graphs and diagrams to represent data visually. Alo...

Data Visualization Mastery E-Learning

Data Visualizations play a key role in helping companies make data driven decisions. This Skillsoft Aspire journey will help you understand the significance of creating user-centered visuals, best practices to follow along with various types of charts, plots, graphs and diagrams to represent data visually. Along with eye catching visualizations using Excel from various imported data formats, you will also learn to create various types of visualizations using BI tools like QlikView. You will then explore creating interactive dashboards and infographics for your visualization projects. You will also explore various techniques for creating visualizations using various Python libraries like Matplotlib, Plotly, and Bokeh before modeling the data.

Learning Kits are structured learning paths, mainly within the Emerging Tech area. A Learning Kit keeps
the student working toward an overall goal,
helping them to achieve your career aspirations. Each part takes the student step by step through a diverse set of topic areas. Learning Kits are
made up of required tracks, which contain all of the learning resources available such as Assessments (Final Exams), Mentor, Practice Labs and of
course E learning. And all resources with a 365 days access from first activation.

Course content

This learning path, with more than 43 hours of online content, is divided into the following four tracks:
Track 1: Data Visualization with Excel
Track 2: Data Visualization with Bi Tools
Track 3: Creating Infographics for Data Visualizations
Track 4: Data Visualization with Python

Track 1: Data Visualization with Excel

In this track, the focus will be on data visualization best practices and data visualization using Microsoft Excel.
Content:
E-learning courses
            Data Visualization: Best Practices for Creating Visuals
            Excel Visualization: Getting Started with Excel for Data Visualization
            Excel Visualization: Building Column Charts, Bar Charts, & Histograms
            Excel Visualization: Visualizing Data Using Line Charts & Area Charts
            Excel Visualization: Building Box Plots, Sunburst Plots, Gantt Charts, & More
            Excel Visualization: Plotting Stock Charts, Radar Charts, Treemaps, & Donuts
Online Mentor
           You can reach your Mentor by entering chats or submitting an email.
Final Exam assessment
           Estimated duration: 90 minutes

Track 2: Data Visualization with BI Tools

In this track, the focus will be on data visualization using QlikView.
Content:
E-learning courses
            QlikView: Getting Started with QlikView for Data Visualization
            QlikView: Creating Line Charts, Combo Charts, Pivot Tables, & Block Charts
            QlikView: Creating Mekko Charts, Radar Charts, Gauge Charts, & Scatter Charts
Online Mentor
            You can reach your Mentor by entering chats or submitting an email.
Final Exam assessment
            Estimated duration: 90 minutes

Practice Labs: Data Visualization with Excel and BI Tools (estimated duration: 8 hours)
          Perform data visualization tasks with Excel such as creating and customizing line, bar, area and              band charts. Then use QlikView to create tables and bar, combo, line and funnel charts. This lab            provides access to tools typically used for data visualization, including:
                  Microsoft Excel 2019
                  QlikView 12

Track 3: Creating Infographics for Data Visualizations

In this track, the focus will be on creating infographics with Infogram and Visme.
Content:
E-learning collections
           Infogram: Getting Started
           Infogram: Advanced Features
           Visme: Introduction
           Visme: Exploring Charts
           Visme: Designing a Presentation
Online Mentor
          You can reach your Mentor by entering chats or submitting an email.
Final Exam assessment
           Estimated duration: 90 minutes

Track 4: Data Visualization with Python

In this track, the focus will be on data visualization with Python using Matplotlib, Bokey, and Plotly.
Content:
E-learning collections
           Python & Matplotlib: Getting Started with Matplotlib for Data Visualization
           Python & Matplotlib: Creating Box Plots, Scatter Plots, Heatmaps, & Pie Charts
           Data Visualization: Building Interactive Visualizations with Bokeh
           Data Visualization: More Specialized Visualizations in Bokeh
           Data Visualization: Getting Started with Plotly
           Data Visualization: Visualizing Data Using Advanced Charts in Plotly
           Online Mentor
           You can reach your Mentor by entering chats or submitting an email.
Final Exam assessment
           Estimated duration: 90 minutes

Practice Labs: Creating Infographics and Data Visualization with Python (estimated duration: 8 hours)
            Perform data visualization tasks such as creating an Infogram project, building an infographic                and creating box-and-wisker plots, line charts and histograms. Then visualize relationships                    using a scatter plot, create a bar chart using Bokeh, and create a box chart using Plotly. This                  lab provides access to tools typically used for data visualization, including:
                      Jupyter Notebook
                      matplotlib
                      numpy
                      pandas
                      Plotly
                      Bokehh

Product specifications

Availabilty
27 hours
Language
English
Certificate of participation
Yes
Online access
365 days

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