Data Visualization Mastery

Data Visualization Mastery. 

Data Visualization spelen een sleutelrol bij het helpen van bedrijven bij het nemen van datagestuurde beslissingen. Deze reis van Skillsoft Aspire helpt je het belang te begrijpen van het creëren van gebruikersgerichte visuals, best practices om te volgen, samen met verschillende soorten grafieken, plots, grafieken en diagrammen om gegevens visueel weer te geven. Naast opvallende visualisaties met Excel uit verschillende geïmporteerde gegevensformaten, leer je ook verschillende soorten visualisaties te maken met behulp van BI-tools zoals QlikView. Vervolgens onderzoekt u het maken van interactieve dashboards en infographics voor uw visualisatieprojecten. Je zult ook verschillende technieken verkennen voor het maken van visualisaties met behulp van verschillende Python-bibliotheken zoals Matplotlib,

Learning Kits zijn gestructureerde leertrajecten, voornamelijk op het gebied van Emerging Tech. Een leerpakket houdt
de student werkt aan een algemeen doel,
hen te helpen uw loopbaanambities te verwezenlijken. Elk deel leidt de student stap voor stap door een diverse reeks onderwerpen. Leerpakketten zijn:
bestaande uit verplichte tracks, die alle beschikbare leermiddelen bevatten, zoals assessments (eindexamens), mentor, oefenlabs en van
cursus E leren. En alle bronnen met 365 dagen toegang vanaf de eerste activering.

Cursusinhoud

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