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LSHC Analytics Course with Placement Assistance

  • 100% Job Guarantee Program
  •  Job Offer Letter From Reputed Company
  • Post Graduate Diploma From The State University Of New York
  • Pan India and International Placement Support
  • No Prior Coding Experience? No Problem!

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Eligibility

College Degree in STEM related fields – Science, Mathematics, Engineering, Software Technology and Business.

No programming knowledge needed. You will learn from scratch!

Who should sign up?

  • Aspiring Analytics Professionals
    Those aiming to build careers in domain-specific analytics .

  • Graduates seeking careers in analytics and forecasting
    Freshers from IT, business, economics, statistics, life sciences, engineering, or related fields looking to enter analytics roles in their chosen domain.

After Successfully completing the programme you should be able to

Demonstrate Expertise Across Core Analytics Technologies
Master Machine Learning, Deep Learning, Cloud Platforms, Big Data, SQL & NoSQL, BI tools, and DevOps practices tailored for life sciences and healthcare analytics.

Deliver High-Impact LSHC Analytics Projects
Work on projects involving patient outcome prediction, drug discovery analytics, hospital resource optimization, disease outbreak forecasting, and clinical trial data analysis.

Synopsis of LSHC Analytics Course

This program is designed for graduates and professionals eager to leverage life science health care Analytics expertise and earn a valuable PG Diploma from a leading U.S. university. The blended curriculum brings together the best of multiple courses, delivering in-depth knowledge without compromising content quality or quantity.

Participants will experience rigorous, multi-platform training that includes live virtual classes, pre-recorded lectures, interactive chat support, expert mentoring, domain-specific projects (end-to-end capstone and mini projects in marketing analytics), pre-assessments, post-assessments, quizzes, and more.

The program is ideal for both fresh graduates and working professionals seeking to accelerate their careers in marketing data analysis, campaign optimization, customer insights, and ROI-driven decision-making through the power of analytics.

Curriculum of LSHC Analytics Course

Chart Your Career with Industry Specific blended Core Modules Designed for Expanding Job Roles

Foundations of LSHC Analytics

Goal: Understand the life sciences and healthcare ecosystem and its data needs.
Topics:

  • Overview of healthcare systems, pharma, biotech, and medical research

  • Types of LSHC data: EHR/EMR, lab results, genomic data, clinical trial data, medical imaging

  • Introduction to Python for healthcare analytics

  • Basics of SQL & NoSQL for healthcare datasets

  • Key healthcare KPIs: patient readmission rates, treatment success rates, drug efficacy, cost per patient

Healthcare Data Management & Integration

Goal: Learn to acquire, store, and secure sensitive healthcare data.
Topics:

  • ETL/ELT for healthcare data pipelines

  • Integrating data from hospital systems, lab equipment, IoT medical devices, public health databases

  • Handling structured & unstructured data (medical images, notes, sensor data)

  • Compliance with HIPAA, GDPR, and other data privacy regulations

  • Cloud storage and interoperability standards (HL7, FHIR)

Statistical & Predictive Analytics in Healthcare

Goal: Use analytics to improve care delivery and research outcomes.
Topics:

  • Descriptive & inferential statistics for clinical studies

  • Disease trend forecasting & patient demand prediction

  • Survival analysis for patient outcomes

  • Drug efficacy and safety analysis

  • Cost-benefit analysis in healthcare operations

Machine Learning & AI in LSHC

Goal: Apply ML and AI to healthcare and life sciences problems.
Topics:

  • Predictive models for disease diagnosis and patient risk scoring

  • Image analysis for radiology and pathology using CNNs

  • NLP for processing doctor’s notes and research papers

  • Drug discovery and molecular property prediction

  • Outbreak detection and epidemiological modeling

– Visualization, BI & Decision Support

Goal: Present insights for clinical and operational decision-making.
Topics:

  • Power BI/Tableau dashboards for patient outcomes and hospital KPIs

  • Real-time monitoring dashboards for critical care units

  • Data storytelling for healthcare executives and research teams

  • Regulatory reporting for compliance bodies

Capstone Project & Career Preparation

  • End-to-end business analytics project

  • Real-world case studies with domain context

  • Resume building, mock interviews

  • Analytics roles & career path support

Industry Projects in collaboration with DERIVE

DERIVE provide customised and innovative solutions for the clients. The organisation is keen to support and encourage upcoming data professionals and they believe that the need for skilled data scientists in only going grow in the coming years. Fuzen IT in collaboration with DERIVE offers hands-on Internships to students where they can work on real world problems and solve real-world challenges.

Programming Languages & Tools Covered

tesseract
tensorflow
tableau
python
powerbi
opencv
numpy
excel
jupyter
matplotlib
nltk

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FAQs

The duration varies based on the learning pace, but typically, the program can be completed within a structured timeframe.

Not necessarily. Many of our beginner-level courses are designed for freshers and non-IT students. However, for advanced programs like AI and Cybersecurity, a basic understanding of programming is helpful

Yes. All enrolled students receive lifetime access to course materials, resources, and updates even after completing the course.

You can reach out through our contact page, WhatsApp support, or visit our nearest branch for one-on-one guidance.

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