Mentor Based

Advanced Data Visualization Techniques With Pandas Matplotlib Seaborn and Healthcare Data

Enroll now for early access of e-LMS

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

Intended For

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.

Mentors

AI Mentor
AI mentor

Rajnish Tandon

Bodhi Nexus (Founder)

Biography
AI Mentor
AI mentor

Pratish Jain

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Biography
AI Mentor
AI mentor

J. T. Sibychen
Cyber and Cloud Security Trainer

NIIT Foundation

Biography

More Mentors

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

FOR QUERIES, FEEDBACK OR ASSISTANCE

Key Takeaways

  • 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

good


Sanjeev Kumar G : 2025-04-28 at 11:35 pm

I felt
1)He should know how to operate basic teams operation because it is where he is teaching. On More Day1 he wasted 10 mins to open slide show. On Day2 he didn’t switch on the slide show though he learned it on day1 and also the slides got struck at slide 2 and he explained till slide 32(for about 30 minutes)while displaying only slide2! how can someone understand what he taught if he displays something else.
2)He is repeating the same every time. Since you are charging for what you teach! I expected I would learn something from it not just the very basics!
3)On Day1 while explaining the math he can clearly show how math calculations done rather than just showing the slides! because the RF based on calculations, he can explain it clearly.
3)I have expected he will teach what he did in the coding. But he didn’t explain the code clearly and just showed the output.
4) While giving examples in the day3, rather than just teaching the examples, he can teach how to implement because real world implementation is important.

Devisri Bandaru : 2025-04-28 at 8:37 pm

CRISPR-Cas Genome Editing: Workflow, Tools and Techniques

Concepts were clear and fairly easy to follow.


Romario Nguyen : 2025-04-28 at 7:13 am

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