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DSTC-01571 Online (e-LMS) Graduate / Intermediate

Surveillance and Data Analytics of Antimicrobial Resistance (AMR) in Public Health

by - Dr. Aishwarya Arun Andhare

Master Surveillance and Data Analytics of Antimicrobial Resistance (AMR) in Public Health in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review • 3 Days · 4.5 hrs • e-Certificate Included
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From ₹2,500 + GST

Programme Parameters

Educational Level:
Graduate / Intermediate
Duration & Workload:
3 Days (4.5 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

Real-World Applications Apply Surveillance and Data Analytics of Antimicrobial Resistance (AMR) in Public Health skills directly to academic research, thesis work, and publications. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

Real-World Applications
Apply Surveillance and Data Analytics of Antimicrobial Resistance (AMR) in Public Health skills directly to academic research, thesis work, and publications

📋 Course Objectives

1. Apply biotechnology methods to authentic research and industry problems.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.

👥 Who Should Enroll?

• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology

🚀 Key Learning Outcomes

• Tangible, reproducible biotechnology work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Systems

How AMR Surveillance Works

• GLASS and national surveillance architectures
• Sentinel versus comprehensive surveillance and the bias each carries
• Laboratory capacity as the binding constraint on data quality

Module 2 Data

Susceptibility Data and Its Pitfalls

• MIC and disc diffusion data, breakpoints and CLSI/EUCAST differences
• Breakpoint revisions that break time-series comparability
• Deduplication of isolates and the inflation caused by repeat sampling

Module 3 Analysis

Measuring Resistance in Populations

• Resistance proportion versus incidence, and why the denominator decides the story
• Trend analysis, seasonality and cluster detection
• WHONET and standard analytical workflows

Module 4 Drivers

Consumption and One Health

• Antimicrobial consumption metrics: DDD and DOT
• Linking consumption to resistance without overclaiming causality
• Agricultural and environmental reservoirs in a One Health frame

Module 5 Action

From Data to Stewardship

• Producing an antibiogram clinicians will actually use
• Informing stewardship interventions and empirical therapy guidance
• Communicating uncertainty to policymakers without losing the message

Technical Specifications

ParameterRequirement
Covered Tool / PlatformPython
Covered Tool / PlatformPandas
Covered Tool / PlatformNumPy
Covered Tool / PlatformMatplotlib
Covered Tool / PlatformSeaborn
Covered Tool / PlatformTableau
Covered Tool / PlatformSQL

Programme Faculty & Mentors

A
Dr. Aishwarya Arun Andhare Research Fellow Parul University, Gujarat
🔬 Microbiology View Research Profile →

Frequently Asked Questions

This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

Learners should have a foundational understanding of Data Science concepts. Familiarity with basic tools and programming is recommended.

You will have access to all course materials for the duration of 3 Days (1.5 hours per day). The self-paced format allows you to learn according to your own schedule through our online learning management system.

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Data Science. Our mentors are industry experts and experienced professionals. Enroll in Surveillance and Data Analytics of Antimicrobial Resistance (AMR) in Public Health today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Data Science skills that matter.

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