Advanced Visualization (University of California, Irvine)
Course Information
Description
About University of California, Irvine
In 1965, the University of California, Irvine was founded with a mission to catalyse the community and enhance lives through rigorous academics, cutting-edge research, and dedicated public service. Today, we draw on the unyielding spirit of our pioneering faculty, staff and students who arrived on campus with a dream to inspire change and generate new ideas. We believe that true progress is made when different perspectives come together to advance our understanding of the world around us. And we enlighten our communities and point the way to a better future. At UCI, we shine brighter.
About Universal Education
Universal Education is an institution committed to improving access to high-quality education for students, teachers, and professionals around the world. We have built our own proprietary platform, which includes an immersive online classroom environment. This online classroom has interactive tools the teachers and students can use to simulate a real classroom environment, so it feels like they are working together in-person.
PSB Academy is proud to offer Advanced Visualization with University of California, Irvine and Universal Education.
Course Highlights
Short Course
Complete the course in 6 weeks
Hands-On Application
Learn to utilise a variety of statistical tools and techniques to present and analyse data
Online Platform
Enjoy the flexibility of 100% E-Learning
Learn from Industry Expert
Learn how to utilise data science techniques to present and deliver new insights and competitive intelligence from the industry expert
e2i Funding
Potential funding support from e2i for company(s) who are sending eligible participant(s) for this course and committing to strong employment and employability outcomes (subjected to final assessment and approval by e2i). Please reach out to e2i at xinyun_chee@e2i.com.sg to find out more.
Entry Requirements
While there are no prerequisites for this course, participants are expected to have good working knowledge in Python programming and advanced knowledge in mathematics and statistics.
Career Opportunities
Information not available
Modules
Visualisation plays a fundamental role in understanding properties and relationships in data to extract insights and communicate results. Whether the analytics is descriptive, diagnostic, prescriptive, or proscriptive, visualisation is essential throughout any analytics cycle. This course will focus on applying various methods and techniques to different stages of the analytics cycle such as during data preparation, modeling, and reporting. Students will learn techniques for visualising univariate, multivariate, temporal, text-based, hierarchical, and network/graph-based data both in ad hoc analysis as well as in automated generation.
At the end of the course, participants will be able to:
- Wrangle and manipulate tidy data in
- Visualise and interact with data using common Python
- Format, simplify, and focus visualisations for clarity, insight, and
- Monitor, evaluate, and interpret machine learning
- Automate report and dashboard
Modules:
- Module 01: Visualization Environment
- Module 02: Univariate Visualizations
- Module 03: Multivariate Visualizations
- Module 04: Networks and Spatial Visualization
- Module 05: Dashboard and Report Generation
- Module 06: Model Diagnostic Visualization
- Module 07: Advanced Topics
- Module 08: Beyond Visualizations
Enjoy a promotional package rate of S$6,420* when enrolling together with Fundamentals of Introduction to Python Programming and Fundamentals of Data Science.
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6 months
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Part-time
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3 months
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Full-time
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12 months
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Part-time
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12 months
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Full-time