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Mentor Based

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MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Moderate
DURATION
3 Weeks

About

The Advanced Data Visualization Techniques program is crafted to deepen the understanding and application of data visualization tools among advanced scholars and professionals. This course focuses on the practical and strategic use of Pandas, Matplotlib, and Seaborn, with a specialized emphasis on healthcare data, providing participants the skills to visualize complex datasets and communicate findings effectively.

Aim

This program aims to equip PhD scholars and academicians with unparalleled expertise in data visualization using Pandas, Matplotlib, and Seaborn, tailored specifically for healthcare data. The curriculum is designed to foster advanced analytical skills, enhance visual storytelling capabilities, and prepare participants to lead data-driven decisions in research and clinical environments.

Program Objectives

  • Master the use of Pandas, Matplotlib, and Seaborn for advanced data visualization.
  • Apply data visualization techniques to interpret and analyze healthcare data.
  • Develop interactive visualizations to facilitate dynamic data exploration.
  • Enhance ability to communicate complex analytical results to non-technical stakeholders.
  • Lead and innovate in data visualization within the healthcare sector.

Program Structure

Module 1: Introduction to Advanced Data Visualization

  • Principles of Data Visualization
  • Review of Tools: Pandas, Matplotlib, Seaborn
  • Emerging Trends in Visualization
    • AI-driven visual analytics
    • Augmented Reality (AR) for data presentation

Module 2: Advanced Data Handling with Pandas

  • Advanced Data Manipulation Techniques
  • Time-Series Data Analysis for Healthcare Datasets
  • Handling Big Data
    • Techniques for managing and visualizing large-scale datasets efficiently

Module 3: Creating Visualizations with Matplotlib

  • Advanced Plotting Techniques
  • Customizing Plots for Scientific Communication
  • Automation of Plot Adjustments
    • Using scripts to dynamically adjust visualizations based on user interaction or data changes

Module 4: Statistical Data Visualization with Seaborn

  • Visualization of Statistical Models
  • Multi-Variable Analysis for Complex Data Sets
  • Advanced Statistical Plots
    • Integrating complex statistical concepts into visualizations to enhance interpretation

Module 5: Interactive and Real-Time Visualization

  • Building Interactive Dashboards with Plotly
  • Real-Time Data Visualization Strategies
  • Streaming Data Visualization
    • Techniques for visualizing streaming data in real-time for immediate decision-making

Module 6: Healthcare Data Application

  • Case Studies: Visualizing Clinical Trial Data
  • Public Health Data Visualization and Reporting
  • Visual Epidemiology
    • Using visualization techniques to track and predict disease outbreaks

Module 7: Capstone Project

  • Integrating Visualization Tools to Analyze a Large Healthcare Dataset
  • Presentation of Insights and Strategic Recommendations
  • Data Storytelling
    • Crafting compelling narratives with data to influence health policy and patient care strategies

Module 8: Ethical Implications of Data Visualization

  • Transparency and Bias in Visual Representations
    • Addressing how visual design choices can influence perception and decisions
  • Ethical Use of Healthcare Data
    • Ensuring patient privacy and data security in visualization projects

Participant’s Eligibility

Targeted at professionals and academics with a background in data science, biostatistics, or healthcare analytics, this program requires foundational knowledge in Python programming and basic statistics.

Program Outcomes

  • Proficient in advanced data visualization techniques.
  • Skilled in handling and visualizing complex healthcare datasets.
  • Capable of designing interactive data presentations.
  • Equipped to lead data-centric projects in healthcare environments.
  • Ready to communicate intricate data insights effectively.

Fee Structure

Fee:       INR 8,499             USD 112

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies

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Key Takeaways

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Future Career Prospects

  • Chief Data Officer in Healthcare
  • Healthcare Data Analyst
  • Clinical Data Scientist
  • Biostatistics Director
  • Public Health Analyst
  • Data Visualization Consultant

Job Opportunities

  • Hospitals and Healthcare Systems
  • Biotech and Pharmaceutical Companies
  • Public Health Organizations
  • Academic and Research Institutions
  • Private Consultancy Firms
  • Government Health Departments

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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Recent Feedbacks In Other Workshops

Please prepare better material with both foundamentals on the topics and manifacturing processes. More It was not a good idea to just use existing slides from other presentations put together.
Other sources for informations should also be presented for self tuition

GC Faussone : 2025-01-23 at 10:09 pm

great knowledge about topic.


Mr. Pratik Bhagwan Jagtap : 2025-01-22 at 7:29 pm

In general, it seems to me that the professor knows his subject very well and knows how to explain More it well.
CARLOS OSCAR RODRIGUEZ LEAL : 2025-01-20 at 8:07 am

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