Data Visualization
Discover easy techniques to make your data visually meaningful and actionable with our data visualization course.
Über diesen Kurs
This course teaches you how to transform raw data into clear and engaging visuals. You’ll learn to create charts, graphs, and interactive dashboards that help you tell data-driven stories. Whether you’re a beginner or have some experience, this course covers essential techniques in visualizing data, using easy-to-navigate tools and best practices. By the end, you’ll be able to present complex information in a way that is visually appealing and simple to understand, perfect for business reports, presentations, and data analysis projects.
Fähigkeiten, die Sie erwerben werden
- Create charts and graphs to communicate key data insights
- Design interactive dashboards to engage your audience in real-time
- Create compelling data stories to make complex information easier to digest and more persuasive
- Select the best charts or graphs visualization to accurately represent your data
- Clean, categorize, and manage your data to reduce errors and improve presentation quality
- Learn design principles to make your visuals not only attractive but also highly informative and user-friendly
- Present data in a clear way that communicates accurate information to decision-makers and stakeholders
Holen Sie sich die Unterstützung, die Sie brauchen. Melden Sie sich für unseren Kurs mit Lehrer an.
Unterricht
10+ Unterricht | 108+ Übungen | 68+ Karteikarten | 68+ Glossar der Begriffe
Testvorbereitung
30+ Fragen vor der Beurteilung |
Praktische Übungen
2+ LiveLab | 00+ Minutes
Preface
Becoming Visual
- What Is Data Visualization?
- Who Are Visualization Designers and What Do They Do?
- Why Use Data Visualization?
- How Do You Incorporate the Visualization Process Into Practice?
- Exercises
- Icons
The Tools
- Basic Productivity Applications
- Visualization Software
- Business Intelligence Tools
- Programming Packages
- A Criteria for Selecting Tools to Build Data Graphics
- Exercises
The Graphics
- Comparisons of Categories and Time
- Distributions
- Proportions
- Relationships
- Locations
- Trends—Showing Comparisons Over Time or Composition Over Time
- Word Frequency and Sentiment
- Connections and Networks
- Chart Interface
- Exercises
The Data
- Understand Your Data
- Preparing Your Data
- Compute Descriptive Statistics
- Explore the Data Visually
- Devise the Problem, Challenge, and/or Questions
- Exercises
The Design
- Design Standards
- Design Standards Checklist
- Exercises
The Audience
- Optimize Your Data Story
- Strategies for Maximizing Retention and Minimizing Overload
- Communicate the Key Message
- Exercises
The Presentation
- Using Presentation Software
- Designing Slide Presentations With Visualizations
- Testing Your Presentation
- Delivering Presentations
- Common Presentation Pitfalls
- After Your Presentation
- Presentation Checklist
- Exercise
The Cases
- Can Twitter predict the outcome of the U.S. presidential election?-Andrew Hamlet
- Can you predict the success of a startup?-Prasant Sudhakaran
- Reporting on project status-Adam Gonthier
- Identifying gaming behavior through analytics-Harry Chernoff
- Exploring the openings and closings of NYC schools-Reshama Shaikh and Riyaz Shaikh
- Wrap Up
The End
- Your Visual Habits
- Archetypes
- Keep Visualizing, Keep Learning, and Keep in Touch
Becoming Visual
- Creating a Word Cloud
- Analyzing Sales Data Using Pivot Tables and Charts
The Tools
The Graphics
The Data
The Design
The Audience
The Presentation
The End
Haben Sie Fragen? Schauen Sie sich die FAQs an
Got questions? Read our FAQs for more details on the data visualization training course.
Kontaktiere uns jetztData visualization is the process of using charts, graphs, and visuals to represent data in order to make it easier to understand and analyze complex information.
Status visualization is fixed visuals, like charts or graphs in a report, while interactive visualizations allow users to explore the data, filter information, and generate deeper insights.
No prior experience is needed. This is a data visualization for beginners course, designed to teach you everything from the basics to more advanced techniques.
By taking this data visualization course online, you’ll gain valuable skills in presenting data effectively, which is highly sought after by various industries. Learning data visualization online will make you more competitive in fields like business analysis, marketing, and data science.