Data Visualization Mastery E-Learning Training Certified Teachers Exam Quizzes Assessments Test Exam Live Labs Tips Tricks Certificate.
Read more.
Bulk discount
No discount
1 Piece
€481,58€398,00
2% Discount
2 Pieces
€471,95€390,04/ Piece
3% Discount
3 Pieces
€467,13€386,06/ Piece
4% Discount
4 Pieces
€462,32€382,08/ Piece
5% Discount
5 Pieces
€457,50€378,10/ Piece
10% Discount
10 Pieces
€433,42€358,20/ Piece
15% Discount
25 Pieces
€409,34€338,30/ Piece
20% Discount
50 Pieces
€385,26€318,40/ Piece
Make a choice
Officieel examen Online of fysiek
Start nu – bekroonde e-learning Inclusief proefexamens & 24/7
ISO 9001 & 27001 werkwijze 1000+ organisaties gingen u voor
Maatwerk & gratis intake Inclusief nulmeting bij training
Product description
Data Visualization Mastery E-Learning Training
Master the art of data visualization and turn data into powerful insights.
Data visualizations are essential for making informed, data-driven decisions. This Skillsoft Aspire journey equips you with the skills to design clear, user-focused visuals, understand visualization best practices, and use top tools to communicate data effectively.
What you’ll learn:
Best practices for creating impactful visualizations
Create visuals and charts in Excel and QlikView
Design interactive dashboards and compelling infographics
Use Python libraries like Matplotlib, Plotly, and Bokeh
Work with diverse data sources before visualizing them
This course is part of an Agile Learning Kit, with step-by-step modules, hands-on labs, mentoring, and 365-day access.
Why Choose This Training?
Master data storytelling techniques
Work with top tools like Excel, QlikView, and Python
Build your own dashboards and visual insights
Includes e-learning, practice labs, assessments & 365-day access
Agile format for structured, real-world learning
Who Should Enroll?
This course is ideal for:
Data analysts looking to visualize insights effectively
Excel and BI users expanding into visual storytelling
Business professionals and decision-makers needing data clarity
Course content
This learning path, with more than 43 hours of online content, is divided into the following four tracks:
Demo Data Visualization Mastery Training
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
Course: 1 Hour, 4 Minutes
Course Overview
Importance of Data Visualization
Best Practices for Data Visualization
Chart and Presentation Types for Visualizing Data
Use Cases: Tables and Bar Charts
Use Cases and Best Practices: Line and Pie Charts
Use Cases: Histograms and Box Plots
Use Cases: Scatter Charts and Bubble Charts
Use Cases: Gantt Charts and Waterfall Charts
Heatmaps, Funnel, Sunburst, and Sankey Charts
Course Summary
Excel Visualization: Getting Started with Excel for Data Visualization
Course: 1 Hour, 12 Minutes
Course Overview
Performing Basic Data Load Operations in Excel
Using Excel Power Query to Work with Imported Data
Importing Various Data Types to Excel
Getting Started with Data Visualization in Excel
Customizing and Formatting a Column Chart in Excel
Creating Basic Line Charts in Excel
Formatting Line and Column Charts in Excel
Course Summary
Excel Visualization: Building Column Charts, Bar Charts, & Histograms
Course: 1 Hour, 18 Minutes
Course Overview
Creating Excel Clustered and Stacked Column Charts
Visualizing Data Using 3D Column Charts in Excel
Creating Excel 3D Column Charts & Identifying Issues
Creating and Working with Various Excel Bar Charts
Formatting Bar Charts in Excel
Distinguishing the Use of Various Excel Bar Charts
Visualizing Binned Data Using Excel Histograms
Customizing Histograms Using Various Excel Features
Course Summary
Excel Visualization: Visualizing Data Using Line Charts & Area Charts
Course: 1 Hour, 39 Minutes
Course Overview
Visualizing Data Using Excel Line Charts
Using Gradient Fill on Excel Line Charts
Customizing and Formatting Excel Line Charts
Using Linear Regression Trendlines on Line Charts
Using Advanced Trendline Features on Line Charts
Distinguishing Different Types of Excel Line Charts
Using QlikView Animations, Search Bars, and Sliders
Course Summary
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
Course: 1 Hour, 51 Minutes
Course Overview
Setting Up and Exploring Infogram
Creating an Infogram Project
Configuring Visual Elements in an Infogram Project
Preparing Data for Infogram Charts
Plotting a Line Chart in Infogram
Configuring a Line Chart in Infogram
Using Line Charts with Error Margins in Infogram
Using Column Charts and Histograms in Infogram
Using Stacked Bar Charts in Infogram
100% Stacked Bar Charts in Infogram
Stacked Area Charts in Infogram
Course Summary
Infogram: Advanced Features
Course: 1 Hour, 39 Minutes
Course Overview
Creating Animated Bar Races in Infogram
Creating Candlestick Charts in Infogram
Creating Waterfall Charts in Infogram
Creating a Dashboard in Infogram
Defining Interactions in Infogram Dashboards
Creating an Infographic in Infogram
Customizing Infographic Project Types in Infogram
Adding Pie Charts and GIFs to Infogram Infographics
Course Summary
Visme: Introduction
Course: 1 Hour, 17 Minutes
Course Overview
Getting Started with Visme
Exploring Visme Templates for Social Media Posts
Building an Infographic in Visme
Configuring Shapes and Text in Visme Presentations
Adding a Background Image to a Visme Infographic
Adding a Video to a Visme Project
Animating Visme Elements
Course Summary
Visme: Exploring Charts
Course: 1 Hour, 7 Minutes
Course Overview
Adding a Bar Chart to a Visme Report
Configuring a Visme Bar Chart
Visualizing Data Using Visme's Horizontal Bar Charts
Configuring Stacked Bar Charts in Visme
Working with Pie and Donut Charts in Visme
Visualizing Data Using Visme's Line and Area Charts
Course Summary
Visme: Designing a Presentation
Course: 49 Minutes
Course Overview
Using Visme Templates to Create a Presentation
Formatting Icons and Text in Visme
Using Visme's Map Chart
Sharing a Visme Project
Course Summary
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
Visualizing Statistics Using Box-and-whisker Plots
Customizing Box-and-whisker Plots in Matplotlib
Visualizing Relationships Using Scatter Plots
Visualizing Correlations Using Matplotlib Heatmaps
Creating Labeled Heatmaps in Matplotlib
Visualizing Composition Using Matplotlib Pie Charts
Creating Matplotlib Exploded Pie Charts and Treemaps
Predicting with Auto-correlation & Cross-correlation
Visualizing Data Using Stacked Plots and Stem Plots
Course Summary
Data Visualization: Building Interactive Visualizations with Bokeh
Course: 1 Hour, 6 Minutes
Course Overview
Installing Bokeh
Saving Bokeh Charts as PNG and HTML Files
Displaying Bokeh Charts Inline in Jupyter Notebooks
Creating Bar Charts in Bokeh
Creating Stacked Bar Charts in Bokeh
Implementing Bokeh Clustered Bar Charts
Visualizing Data in Bokeh Using Pie Charts
Creating Donut Charts in Bokeh
Course Summary
Data Visualization: More Specialized Visualizations in Bokeh
Course: 1 Hour, 8 Minutes
Course Overview
Creating Scatter Plots Using Bokeh
Visualizing Relationships with Bokeh Scatter Plots
Customizing Scatter Plots in Bokeh
Visualizing Data Using Bokeh Heatmaps
Creating Line Charts in Bokeh
Customizing Line Charts with Area Charts in Bokeh
Visualizing Data Using Bokeh Network Charts
Course Summary
Data Visualization: Getting Started with Plotly
Course: 1 Hour, 9 Minutes
Course Overview
Installing Plotly
Components of Plotly Graphs
Creating Box Plots in Plotly
Plotting Categorical Data with Box and Strip Plots
Customizing Plotly Box Plots
Visualizing Financial Data Using Candlestick Charts
Visualizing Data Using Plotly Funnel Charts
Course Summary
Data Visualization: Visualizing Data Using Advanced Charts in Plotly
Course: 1 Hour, 10 Minutes
Course Overview
Creating Radar Charts in Plotly
Components of Plotly Radar Charts
Visualizing Hierarchical Data Using Sunburst Charts
Visualizing Schedules in Plotly Using Gantt Charts
Creating Sankey Diagrams in Plotly
Visualizing Data Using Plotly Sankey Diagrams
Visualizing Geographical Data Using Plotly Maps
Course Summary
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
Specifications
Article number
128329991
SKU
128329991
Language
English
Qualifications of the Instructor
Certified
Course Format and Length
Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration
43 Hours
Assesments
The assessment tests your knowledge and application skills of the topics in the learning pathway. It is available 365 days after activation.
Online Virtuele labs
Receive 12 months of access to virtual labs corresponding to traditional course configuration. Active for 365 days after activation, availability varies by Training
Online mentor
You will have 24/7 access to an online mentor for all your specific technical questions on the study topic. The online mentor is available 365 days after activation, depending on the chosen Learning Kit.
Progress monitoring
Access to Material
365 days
Technical Requirements
Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance
Helpdesk and online knowledge base 24/7
Certification
Certificate of participation in PDF format
Price and costs
Course price at no extra cost
Cancellation policy and money-back guarantee
We assess this on a case-by-case basis
Award Winning E-learning
Tip!
Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.
Data Visualization Mastery E-Learning Training Certified Teachers Exam Quizzes A...
€481,58€398,00
Specifications
Article number
128329991
SKU
128329991
Language
English
Qualifications of the Instructor
Certified
Course Format and Length
Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration
43 Hours
Assesments
The assessment tests your knowledge and application skills of the topics in the learning pathway. It is available 365 days after activation.
Online Virtuele labs
Receive 12 months of access to virtual labs corresponding to traditional course configuration. Active for 365 days after activation, availability varies by Training
Online mentor
You will have 24/7 access to an online mentor for all your specific technical questions on the study topic. The online mentor is available 365 days after activation, depending on the chosen Learning Kit.
Progress monitoring
Access to Material
365 days
Technical Requirements
Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance
Helpdesk and online knowledge base 24/7
Certification
Certificate of participation in PDF format
Price and costs
Course price at no extra cost
Cancellation policy and money-back guarantee
We assess this on a case-by-case basis
Award Winning E-learning
Tip!
Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.
Wij gebruiken functionele en analytische cookies om onze website goed te laten werken en het gebruik ervan te meten met Google Analytics. Er worden geen persoonsgegevens gedeeld voor advertentiedoeleinden. Door op "Accepteren" te klikken, geeft u toestemming voor het plaatsen van deze cookies.
Manage cookies
