Advanced Data Visualization Techniques With Pandas Matplotlib Seaborn and Healthcare Data

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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

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

Rajnish Tandon

Bodhi Nexus (Founder)

Biography

AI Mentor

Pratish Jain

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Biography

AI Mentor

J. T. Sibychen

Cyber and Cloud Security Trainer

NIIT Foundation

Biography

More Mentors

Fee Structure

Fee: INR 8,499 USD 112

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