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Life Sciences and HealthCare Analytics Training

Launch your career in LSHC Analytics with our certification program in Life Sciences and HealthCare Analytics course. Learn Statistical Analysis, Machine learning, Predictive Analytics, and many more.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Interactive Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Job Placement Assistance
  • Authorised by National Educational Alliance for Technology - NEAT
Life Science and Health Care Analytics course reviews - 360digitmg
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Life Science and Health Care Analytics course reviews - 360digitmg
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Academic Partners & International Accreditations
  • Machine Learning course certification with innodatatics
  • Machine Learning course with nasscomm
  • Life Sciences and HealthCare Analytics course with TUV
  • Life Sciences and HealthCare Analytics Certification Course with SUNY
  • Life Sciences and HealthCare Analytics Course with NEF
  • Life Sciences and HealthCare Analytics course with Microsoft

"Innovation starts with insight and life science companies strive to pursue innovative solutions to address today’s challenges. A HealthCare analyst in Price Waterhouse Coopers (PWC) earns 6 lakhs per annum." - (Source). Analytics is an essential part of Life Sciences and HealthCare because it increases the potential for better treatment and medication. Phenomenal progress in the field of drug development, gene therapy, and wearable fitness trackers are some of the transformations seen in the life sciences sector. Today Patients are increasingly involved in their HealthCare and demand transparency, convenience, and personalized services. With Analytics in Life Sciences and HealthCare Course, companies are trying to keep up with the pace of the customer by leveraging the insights derived from the data strategically to their advantage. The amount of data available to the pharma companies today is like a treasure trove of information used to create value and new metrics from the wealth of data at their disposal.

Life Sciences and HealthCare

Program Cost

INR 12,000/-

HealthCare Analytics Course Overview

The training in Life Sciences and HealthCare Analytics course will equip you with research and analytical skills that will change the HealthCare landscape. Data has been around us for centuries but the skill to collect, organize, and visualize this data is making all the difference. Analytics when used in the Life sciences and HealthCare arena can result in numerous benefits like enhancing the health delivery system, improving the quality and safety of patients, lowering costs, and optimizing business operations. 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.

This program is designed to have the right blend of Statistical Analysis, Predictive Modelling, and Artificial Intelligence in making human health better by taking proactive decisions. Following the trends in the broader HealthCare industry in the US, 360DigiTMG has developed a certification program in Life Sciences and HealthCare Analytics.

What are the Life Sciences and HealthCare Analytics?

Life sciences and health care analytics is a process where clinical data is studied and analyzed to provide tools for expert advice and proactive care of the patients. It is considered to be an integral part of the health care management system. Companies today are adopting data analytics and leveraging insights to manage a patient’s health outcomes. Huge databases are created with the information of the patient’s current health issues and using Analytical tools extensive study is implemented to prepare a predictive model. This model facilitates the future HealthCare of the patient and allows better decision making based on the evidence of his past HealthCare reports. This also helps pharmaceutical companies predict the future trends of the treatment and bring efficacy to the life science industry by moving from treatment to preventive measures to early intervention.

HealthCare Analytics Course Learning Outcomes

Analytics in Life Sciences and HealthCare has become an important part of HealthCare management. It is helping the healthcare sector blend the booming data collected from various sources like bedside sensors, bio-monitor and other Internet of Things devices to generate data insights into a refined easy to understand model that can predict the future health of the patient and allow better decision making for doctors and health care professionals and to produce knowledge-based solutions for real-world challenges. But, a widening gap between the demand-supply of skilled professionals in the field of Life Sciences and HealthCare Analytics is creating challenges for public and private HealthCare systems. This program provides students an opportunity to explore a wide variety of careers in the HealthCare and Life Sciences field. Learn more about HealthCare and life sciences and how it impacts our world. Progress in the field technology, science, digital data, and augmented intelligence are transforming the traditional health care models. The curriculum provides extensive knowledge of the new elements of the HealthCare industry. Identify the various data generation sources and understand the different types of analytical tools used to develop the ability to foresee the challenges in a clinical environment. Students will gain expertise in areas like predictive and prescriptive analytics, data acquisition, Data Mining, and HealthCare information management systems.

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

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healthcare analytics course - 360digitmg

16 hours

Live Sessions

healthcare analytics course - 360digitmg

20 hours

Python Programming Videos

Who Should Sign Up?

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

Life Sciences and Healthcare Analytics Course Modules

This course is aimed to highlight the importance of Life Sciences and HealthCare Analytics. It covers concepts dealing with HealthCare data including IoT sensor data. Learn to analyze and interpret HealthCare data effectively and understand the rich data structures contained in Electronic Health Records (EHR). This module will also help the learners to gather the requisite Python, R skills to analyze HealthCare data such as EHR, MIMIC, etc. This module also gives an insight into various data models that exist in Life Sciences and HealthCare Data. Gain knowledge on how to decipher and assess designs of data models using Entity-Relationship (ER) diagrams. You will also get into the heart and soul of the Data Science program along with predictive modeling for hospital management. This course in Life Sciences and HealthCare Analytics will fill in the gap for those who are interested in this challenging and ever-evolving field.

  • Challenges and Opportunities in Life Sciences and Healthcare Analytics
  • Overview of AI Applications in Life Sciences and Healthcare

In this module we will be discussing the CRISP-ML (Q), it is a research methodology used in the life sciences to integrate statistical and machine learning methods with clinical reasoning in order to improve the accuracy of medical diagnoses and treatments. The goal of CRISP-MLQ is to develop quantitative models that can assist healthcare professionals in making more informed and efficient decisions, while also taking into account the uncertainties and biases inherent in medical data.

This module covers the essentials of Exploratory Data Analysis (EDA) and Data Preprocessing in the context of Life Sciences and Healthcare data. The goal is to familiarize participants with techniques for cleaning, transforming, and preparing data for analysis in order to obtain meaningful insights and inform decision making.

This module explores the application of K-means algorithm, a popular unsupervised learning technique, in the Life Sciences and Healthcare domain. Participants will learn how to use K-means for data clustering, gain hands-on experience in implementing the algorithm, and understand its potential for solving real-world problems in the field.

This module focuses on the K-Nearest Neighbors (KNN) algorithm, a popular supervised learning method. The module covers how KNN works, its implementation in the Life Sciences and Healthcare domain, and its applications for solving various problems in the field, such as diagnosis and prognosis. Participants will gain hands-on experience in using KNN algorithms for data analysis and prediction

In this module, the working principle of Decision Tree algorithms for supervised learning in Life Sciences and Healthcare is explored, with a focus on TNBC relapse prediction. Participants will gain a thorough understanding of how Decision Trees operate and their practical applications, through hands-on work with a real-world TNBC relapse prediction use case


This module focuses on the working principle and application of Linear Regression, a supervised learning technique, in Life Sciences and Healthcare. A simple use case of predicting Adipose tissue using waist circumference is used to demonstrate the implementation and potential of Linear Regression in the field. Participants will gain hands-on experience in using Linear Regression for data analysis and prediction.

This module discusses the usage of Multilayer Perceptrons (MLP) in Life Sciences and healthcare, through the exploration of a practical use case. Participants will learn about MLP, its working principle, and how it can be applied to solve real-world problems in the field, and gain hands-on experience in using MLP for data analysis and prediction.

This module examines the application of Natural Language Processing (NLP) in Life Sciences and Healthcare, using the use case of sentiment analysis on drugs. Participants will learn about NLP, its potential and challenges in the field, and gain hands-on experience in using NLP techniques for sentiment analysis on drug-related data.

Tools Covered
Life Sciences and HealthCare course using python
Life Sciences and HealthCare training using r programming
Life Sciences and HealthCare training using r studio programming
Life Sciences and HealthCare training with jupyter
How we prepare you
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    Additional Assignments of over 60+ hours
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    Resume and LinkedIn Review Sessions
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    Lifetime LMS Access
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    Job Placements in Life Sciences and HealthCare Fields
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    Unlimited Mock Interview and Quiz Session
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    Hands-on Experience in Live Projects
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Life Sciences and HealthCare Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ 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, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
healthcare analytics certification - 360digitmg


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.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology


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FAQs for Life Sciences & HealthCare Analytics Course

This course just assumes some basic computer familiarity and 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 online 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 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 online 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.

Jobs in the field of Life Sciences and HealthCare

Jobs in the field of Life Sciences and HealthCare Analytics Course

The prevalence of many chronic diseases has contributed to the HealthCare industry. There are many domains you can explore in this field like research, microbiology, Analyst in pharma forecasting, biochemist, quality control, and many other biotech jobs.

Salaries for Life Sciences and HealthCare

Salaries for Life Sciences and HealthCare Analytics Professionals

The Indian Life sciences and HealthCare industry has expanded over the last few decades and continues to exhibit a promising future. The national average salary for a HealthCare Analyst is Rs 11,16,13 and the average salary for a HealthCare Analyst in India is Rs 4,5,731.

Life Sciences and HealthCare Course Projects

Life Sciences and HealthCare Course Projects

This exciting new arena offers various projects wherein one can build a predictive model for the detection of cancer, build an interoperable EHR system, provide an achievable solution for managing huge and sensitive data, or build a cost prediction model.

Role of Open Source Tools in Life Science and HealthCare Course

Role of Open Source Tools in Life Science and HealthCare Analytics

The latest analysis tools target HealthCare, guarding sensitive information, and decision making. These tools help analyze HealthCare data like Electronic Health Record. In this program, you will explore tools like R, RStudio, Python, and juypter.

Modes of Training for Life Science and HealthCare Course

Modes of Training for Life Science and HealthCare Analytics Course

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of online learning. We also support e-learning as part of our curriculum.

Industry Application of Life Science and HealthCare Course

Industry Application of Life Science and HealthCare Analytics Course

The aid of analytics in the life sciences and HealthCare sector are exhibited in notable areas such as early detection of the disease, strategizing treatment patterns achieving excellence to drive real-world results. It is also used in operations like Research and development, Marketing and Sales, customer service, etc.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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