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Data Visualization (Online Courses)

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This Course Includes
  • 24 hours 40 minutes
    of self-paced video lessons
  • 21 Programs
    crafting your path to success
  • Completion Certificate
    awarded on course completion

Advanced Visualizations & Dashboards: Visualization Using Python

Price on Request 35 minutes
In this course, learners explore approaches to building and implementing visualizations for data science, as well as plotting and graphing using Python libraries such as Matplotlib, ggplot, bokeh, and Pygal. Key concepts covered here include the importance and relevance of data visualization from the business perspective; libraries that can be used in Python to implement data visualization and how to set up a data visualization environment using Python tools and libraries; and prominent data visualization libraries that can be used with Matplotlib. Then see how to create bar charts by using ggplot in Python; how to create charts, using the bokeh and Pygal libraries in Python; and criteria that should be considered when selecting an appropriate data visualization library. Learners observe how to create interactive graphs and image files; how to plot graphs using line and markers; and how to plot multiple lines in a single graph with different line styles and markers. Finally, see how to create a line chart with Pygal, create an HTML directive to render the line chart, and render the line chart.
Perks of Course
Certificate: Yes
CPD Points: 37
Compliance Standards: AICC

Advanced Visualizations & Dashboards: Visualization Using R

Price on Request 35 minutes
Discover how to build advanced charts by using Python and Jupyter Notebook for data science in this course, which explores R and ggplot2 visualization capabilities and how to build charts and graphs with these tools. Key concepts in this course include different types of charts that can be implemented and their relevance in data visualization; how to create a stacked bar plot; how to create Matplotlib animations; and how to use NumPy and Plotly to create interactive 3D plots in Jupyter Notebook. Learners are shown the graphical capabilities of R from the perspective of data visualization; how to build heat maps and scatter plots using R; and how to implement correlogram and build area charts using R. Next, you will explore ggplot2 capabilities from the perspective of data visualization; learn how to build and customize graphs by using ggplot2 in R; and how to create heat maps, a representation of data in form of a map or diagram. Finally, learn to create scatter plots and create area charts with R.
Perks of Course
Certificate: Yes
CPD Points: 34
Compliance Standards: AICC

Data Visualization and Storytelling 2023 Bootcamp: Session 1 Replay

Price on Request 2 hour 25 minutes
This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on June 6th at 11 AM EST.
Perks of Course
Certificate: Yes
CPD Points: 143
Compliance Standards: AICC

Data Visualization and Storytelling 2023 Bootcamp: Session 2 Replay

Price on Request 2 hour 20 minutes
This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on June 7th at 11 AM EST.
Perks of Course
Certificate: Yes
CPD Points: 140
Compliance Standards: AICC

Data Visualization and Storytelling 2023 Bootcamp: Session 3 Replay

Price on Request 2 hour 25 minutes
This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on June 8th at 11 AM EST.
Perks of Course
Certificate: Yes
CPD Points: 147
Compliance Standards: AICC

Data Visualization and Storytelling 2023 Bootcamp: Session 4 Replay

Price on Request 2 hour 25 minutes
This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on June 9th at 11 AM EST.
Perks of Course
Certificate: Yes
CPD Points: 143
Compliance Standards: AICC

Data Visualization and Storytelling Bootcamp: Session 2 Replay

Price on Request 2 hour 15 minutes
This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on September 7th at 11 AM ET.
Perks of Course
Certificate: Yes
CPD Points: 134
Compliance Standards: AICC

Data Visualization and Storytelling Bootcamp: Session 3 Replay

Price on Request 2 hour 10 minutes
This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on September 8th at 11 AM ET.
Perks of Course
Certificate: Yes
CPD Points: 132
Compliance Standards: AICC

Data Visualization and Storytelling Bootcamp: Session 4 Replay

Price on Request 2 hour
This is a recorded Replay of the Data Visualization and Storytelling Live session that ran on Sept 9th at 11 AM ET.
Perks of Course
Certificate: Yes
CPD Points: 120
Compliance Standards: AICC

Data Visualization Essentials

Price on Request 1 hour
It's becoming more common to present data in a visual way to engage audiences with what the data is saying. Explore the essentials of creating great data visualizations.
Perks of Course
Certificate: Yes
CPD Points: 62
Compliance Standards: AICC

Data Visualization: Best Practices for Creating Visuals

Price on Request 1 hour 5 minutes
Most organizations depend on data visualization to help drive business decisions. Using the correct charts and graphs helps communicate the right information and identify patterns and trends within your data. You'll begin this course by identifying the importance of data visualization and its application in curating data that is easy to digest, understand, and interpret. Next, you'll discover best practices for visualizing data and the significance of creating user-centered visuals. You'll then explore different presentation types such as comparison, composition, distribution, trends, and relationship, and learn how to map your charts to these categories. Finally, you'll investigate the use cases for popular charts such as line charts, pie charts, histograms, scatter plots, and others. You'll also recognize when to use specialized charts such as Gantt charts, sunburst charts, and Sankey diagrams.
Perks of Course
Certificate: Yes
CPD Points: 63
Compliance Standards: AICC

Delivering Dashboards: Exploration & Analytics

Price on Request 30 minutes
Explore the role played by dashboards in data exploration and deep analytics in this 11-video course. Dashboards are especially useful in visualizing data for a wide variety of business users, so that they can better understand the data being analyzed. First, learners examine the essential patterns of dashboard design and how to implement appropriate dashboards by using Kibana, Tableau, and Qlikview. You will begin by learning about data exploration capabilities using charts; then take a look at analytical visualization tools, the prominent tools that can be used to implement charts. Learn how to create bar and line charts and dashboards, and then share those dashboards with Kibana. Learners then watch demonstrations of creating charts and dashboards by using both Tableau and Qlikview tools. You will explore the approach to building dashboards with real-time data updates and how to specify essential design patterns that can be adopted when designing dashboards. Finally, learn about creating monitoring dashboards with ELK (Elasticsearch, Logstash, and Kibana). The concluding exercise deals with creating dashboards by using Kibana, Tableau, and Qlikview.
Perks of Course
Certificate: Yes
CPD Points: 30
Compliance Standards: AICC

Delivering Dashboards: Management Patterns

Price on Request 35 minutes
In this 11-video course, explore the concept of dashboards and the best practices that can be adopted to build effective dashboards. The course also covers how to implement dashboards and visualizations by using PowerBI and ELK and the concepts of leaderboards and scorecards. Learners begin with analytical visualization, recognizing the various types of visualizations that can be used to build concise dashboards. Then you will look at different dashboard types and their associated features and benefits. Learners examine different types of data used in analysis and the types of visualizations that can be created from the data. Learn about dashboard components, the essential components involved in building a productive dashboard. Familiarize yourself with best practices for building a productive dashboard. Learn how to create a dashboard using ELK (Elasticsearch, Logstash, and Kibana) and PowerBI (business intelligence platform). Then look at selection criteria for charts, the critical benefits provided by leaderboards and scorecards, and the various scorecard types. The closing exercise involves creating dashboards by using PowerBI and ELK.
Perks of Course
Certificate: Yes
CPD Points: 33
Compliance Standards: AICC

Graph & Charts

Price on Request 30 minutes
To ensure the audiences understand what's being presented, effective data visualizations need to be created. Explore different forms of data visualizations.
Perks of Course
Certificate: Yes
CPD Points: 30
Compliance Standards: AICC

Storytelling with Data: Introduction

Price on Request 45 minutes
In this 10-video course, learners can explore the concept of storytelling with data, including processes involved in storytelling and interpreting data contexts. You will explore prominent types of analysis, visualizations, and graphics tools useful for storytelling. Become familiar with various processes: storytelling with analysis, and its types; storytelling with visualization; and storytelling with scatter plots, line charts, heat maps, and bar charts. Popular software programs are also used: d3.js (Data-Drive Document), WebDataRocks, Birt, Google Charts, and Cytoscape. Users of storytelling include three types: strategists, who actually build strategy for story making; developers or designers, who often use videos, images, infographics to create experience architecture; and marketers or salespeople, who uses different modes including visual social networks, calendaring, messaging in visual form, digital signage, UGC or employee advocacy, story selling, live streaming, or data storytelling. A concluding exercise asks learners to recall elements of storytelling context; specify types of analysis used to facilitate storytelling with data; list prominent visualizations used to facilitate storytelling with data; and list prominent graphical tools useful for data exploration.
Perks of Course
Certificate: Yes
CPD Points: 46
Compliance Standards: AICC

Storytelling with Data: Tableau & Power BI

Price on Request 55 minutes
To convey the true meaning of data most effectively, data scientists and data management professionals need to be able to harness the capabilities of different approaches of storytelling with data. This 14-video course explores how to select the most effective visuals for a storytelling project, how to eliminate clutter, and how to choose the best practices for story design. In addition, learners will see demonstrations of how to work with Tableau and Power BI bar charts to facilitate storytelling with data. Learn to select appropriate visuals for your data storytelling project; how to use slopegraphs; and learn important steps to take in cluttering and de-cluttering data. Explore the gestalt principle, as well as common problems of visual story design. In the concluding exercise, learners will load data by using Power BI from a CSV file; create a bar chart by using the data; and create a pie chart to show the whole-part relation in the data.
Perks of Course
Certificate: Yes
CPD Points: 56
Compliance Standards: AICC

Visualizing Data for Impact: Analyzing Misleading Visualizations

Price on Request 25 minutes
One of the challenges of data visualization is recognizing and avoiding misleading visuals. These and other common mistakes make data visualization less effective and can lead to incorrect conclusions. Through this course, learn about misleading statistics and visual distortions. Examine some common data visualization mistakes, including data overload, interchanging charts, and the use of color, as well as how to recognize and correct them. Next, explore examples of deceiving statistics, visual distortions, and graphs and how to avoid being misleading. Finally, learn about omitting data, improper extraction, and correlating causation. After course completion, you'll be able to avoid mistakes when visualizing your data.
Perks of Course
Certificate: Yes
CPD Points: 27
Compliance Standards: AICC

Visualizing Data for Impact: Data Storytelling

Price on Request 30 minutes
Data storytelling lets you set up and reveal key results quickly and in an organized fashion. It is a great way to make findings impactful and meaningful for an audience. Through this course, learn about data storytelling and how it can help elevate your data visualizations and create impactful narratives for an audience. Explore the theory and purpose behind data storytelling and how to contextualize and refine insight. Next, discover how to engage with an audience and put together an outline. Finally, learn how to plot data points to a storyboard and format a story for delivery. Upon completion, you'll be able to outline elements of data storytelling and apply them when presenting data.
Perks of Course
Certificate: Yes
CPD Points: 28
Compliance Standards: AICC

Visualizing Data for Impact: Introduction to Data Visualization

Price on Request 25 minutes
Using data visualizations effectively and correctly is a part of building a data-driven culture in your team. Data visualization creates accessible, understandable, and effective graphic representations of data to help teams understand the patterns and trends in their data and make data-driven decisions. In this course, you will learn about the fundamentals of data visualization, why it is important, and how data visualizations can be useful to your team. You will also explore different types of data visualizations, their use cases, and how to interpret them. Finally, you will discover how to select appropriate tools and visualizations. Upon completion of this course, you'll be able to define the fundamental concepts, types, and uses of data visualization.
Perks of Course
Certificate: Yes
CPD Points: 26
Compliance Standards: AICC

Visualizing Data for Impact: Visual Design Theory

Price on Request 25 minutes
Visual designs play an important role in the presentation of data. Understanding and implementing visual design principles can help you build data visualizations that effectively communicate the message and make an impact on the target audience. Through this course, learn visual design principles and how to apply them to data visualizations. Explore elements and best practices for designing compelling visuals. Next, learn how to design effective visuals using contrast and position, as well as sizing and grouping visualization items. Finally, discover how to arrange items, use legends, address data set gaps, and use color for visualizations. After course completion, you'll be able to outline and apply visual design best practices to visualize data.
Perks of Course
Certificate: Yes
CPD Points: 26
Compliance Standards: AICC

Exploring Data Visualization

Price on Request 25 minutes
The business world is full of data. Using this data strategically presents a company with serious competitive advantages. The tricky part is making sense of the data and then communicating what it means. Data visualization (or data viz, for short) provides actionable insights out of what can be complex sets of data. In this course, you'll learn the considerations for creating data visualizations and how to relay your message using data visualization tools. You'll learn how to communicate clearly using data visualizing techniques. And you'll gain insight into how to use key design best practices to ensure your visualizations are clearly and accurately telling the story you want them to.
Perks of Course
Certificate: Yes
CPD Points: 26
Compliance Standards: AICC