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Life Sciences and HealthCare Analytics Program

Launch your career in the booming Healthcare analytics market with the pioneering Life Sciences and HealthCare Analytics Certification Program. Designed for Healthcare practitioners, IT business analysts and data scientists interested in the Healthcare domain, provides industry leading training in data analytics and AI.

On-campus training in Malaysia: 24 hours

Calendar-On-Campus Classes

  • 06th
    -
    31st
    January
  • 9:30 AM - 11:30 AM
    Timings

Life Sciences and HealthCare

Total Duration

1 Months

Prerequisites

  • Computer Skills
  • Basic Mathematical Knowledge
  • Analytical Mindsets

Programme Overview

Healthcare Enterprises are leveraging AI powered analytics for enhanced innovation and increased productivity. According to this PWC article a little less than a third of the CEOs believe that AI will be the biggest disrupter to their industry. In accordance to the trends in the broader Healthcare industry in the US, 360DigiTMG has developed the Certification Program in Healthcare Analytics. This course is meticulously designed to suit both Healthcare practitioners, IT Business Analysts and Data Scientists who want to advance their career in this booming domain. This program will cover the industry specific program material like clinical natural language processing, computational phenotyping, etc. You will work on relevant datasets and acquire highly coveted industry specific skills.

The curriculum blends powerful predictive analytics in Healthcare and domain-specific skills such as clinical natural language processing and computational phenotyping. Students work on large datasets to build and deploy Healthcare AI applications gaining skills by doing vs learning. This course will help participants to gain the skills required to make a career out of this AI revolution in Healthcare industry.

Course Details

Learning Outcomes

Work with various data generation sources
Understand and interpret Electronic Health Record (EHR) data types and structures
Become proficient in analysing Clinical Healthcare data
Differentiate among Descriptive, Predictive and Prescriptive Analytics
Apply Machine Learning techniques on Healthcare and other clinical data
Arrive at commensurate clinical and scientific interpretations of the conducted analytics
Foresee some of the challenges faced while implementing analytics solutions in complicated clinical environments

Modules

This module serves as an interesting primer for the uninitiated into the world of LSHC domain. Learn about the different sub-domains and how data science is empowering each of these domains. Get ready to deep dive into Life Science and Healthcare Industry, Sectors and Domains.

Welcome to the eclectic world of healthcare data. Understand the rich data structures contained in Electronic Health Records (EHR), work hands on MIMIC II data and other types of data like images from radiology, pathology, etc. Also Understand about healthcare IoT sensors data.

This module will give students the opportunity to understand the 4Ws of the healthcare data life cycle: What, Who, When, Why. Get a deeper understanding of the lifecycle to prepare for analyses that follow in subsequent modules.

As the name suggests, this module will help the learners to gather the requisite Python, R skills to analyze healthcare data such as EHR, MIMIC, etc.

This module will provide insights into various data models that are existing in healthcare data. Learners can expect to gain knowledge on how to decipher and assess designs of data models using Entity Relationship (ER) diagrams, contrast their individual merits and enunciate how to utilize them in providing healthcare.

This module gets into the heart and soul of the Data Science program. We start from basic statistics and progress to regression models, unsupervised and supervised learning models.

 
  • a. Basic Statistics, Hypothesis Testing and Regression Models
  • b. Unsupervised Machine Learning Techniques
  • c. Supervised Machine Learning Algorithms

 

This module gives a basic introduction to the Natural Language Processing (NLP) on clinical trials data. Learners can expect to gain pragmatic toolsets to extricate data stored in the EMRs (Electronic Medical Records).

Use MultiLayer Perceptron to build predictive analytic capabilities using the EHR and other types of healthcare data. Use CNN models to build a prediction model to predict cancer using DICOM images. Understand about limitations of Deep Learning models in Life Science & Healthcare.

The healthcare industry hit $3.5 Trillion in 2018 in USA alone and is projected to grow @ 5.5% from 2018-2022 according to CMS.GOV report. This PWC report says 25% of Healthcare industry CEOs say their organizations are using artificial intelligence in some form.

Block Your Time

40 hours

Classroom Sessions

60 hours

Assignments &
e-Learning

60 hours

Live Projects

Who Should Sign Up?

  • IT Engineers
  • Data and Analytics Managers
  • Business Analysts
  • Data Scientists
  • Healthcare Practitioners
  • Clinicians and Physicians
  • Healthcare Administrators
  • Life Science Graduates

Tools Covered

Register for a free orientation

Limited seats available.

Book now to avoid disappointment.

Our Panel of Coaches

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 14+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
 

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 14+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more
Read More >
 

Nitin Mishra

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Over 20+ years of industry experience in data science and business intelligence
  • Trained professionals from Fortune 500 companies and students at prestigious colleges
  • Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL
  • Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more
Read More >
 

Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Life Sciences and HealthCare Certificate is your passport to an accelerated career in LSHC industry.

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FAQs

This course just assumes some basic computer familiarity and an analytical mindset. It definitely helps if the learner has some background in clinical data, SQL and Programming languages such as Python and R. Knowledge of HealthCare industry is expected for better understanding.

This course is specifically catered to learners intending to either begin or advance their careers in the healthcare industry. As such, you will be exposed to highly relevant healthcare data.

You will be exposed to EHR (electronic health records), MIMIC-III database and many more datasets that are unique to the healthcare industry.

Ideally, for the purposes of this course, we have already procured and hosted the necessary datasets (samples), but if some learners are interested in how all of the Data Engineering work is done, it can be offered as a separate (or an addendum) course.

Different organisations use different terms for data professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.

With growing demand, there is a scarcity of data science professionals in the market. If you can demonstrate strong knowledge of data science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.

 

360DigiTMG provides internship opportunities through Innodatatics, our USA-based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practical.

There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job placements.

We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

You will be attending 40 hours of classroom and/or virtual instructor-led sessions. After completion, you will have access to the Learning Management System for three months for recorded videos and assignments. Also, you will have to spend another month after the classroom sessions to complete the live project.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship sessions, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No, the cost of the certificate is included in the programme package.

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