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Professional Certificate Course in

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
  • 40 Hours of Intensive Classroom & Online Sessions
  • 60+ Hours of Practical Assignments
  • 2 Capstone Live Projects
  • 100% Job Placement Assurance
Life Science and Health Care Analytics course reviews - 360digitmg
461 Reviews
Life Science and Health Care Analytics course reviews - 360digitmg
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Academic Partners & International Accreditations
  • Life Science and Health Care course with IBM certificate
  • Life Science and Health Care course with UTM certificate
  • Life Science and Health Care course with TUV certificate
  • Life Science and Health Care course with Panasonic certificate
  • Life Science and Health Care course with Careerx certificate

Calendar-On-Campus Classes

Life Sciences and HealthCare

healthcare analytics course - 360digitmg

Total Duration

1 Month

healthcare analytics course pre-requisite- 360digitmg

Prerequisites

  • Computer Skills
  • Basic Mathematical Knowledge
  • Analytical Mindsets

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.

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.

Course Details

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
Block Your Time
healthcare analytics course - 360digitmg

40 hours

Classroom Sessions

healthcare analytics course - 360digitmg

60 hours

Assignments &
e-Learning

healthcare analytics course - 360digitmg

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
  • 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.

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 Life Sciences and Healthcare Data. Learners can expect to gain knowledge on how to decipher and assess designs of data models using Entity-Relationship (ER) diagrams to contrast their individual merits and enunciate how to utilize them in providing Healthcare and Bio-statistics models, understanding the Genomics Exploratory Data Analysis, differential expression levels, normalization, and batch effects of the data.

  • a. Genomics - DNA, RNA (Next Generation Sequencing Data Analysis), Gene MicroArray Gene Expression Data Analysis
  • b. Proteomics - Deal with Proteomics Data Analysis, Drug Resistance and Drug Repurposing Data Analysis
  • c. Metabolomics - Molecular-level (Abundance and Intensity values) Data Analysis, Identifying Biomarkers, etc.

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

Utilize patient historical data, current diagnosis and treatment and other life style and behavioral indicators to predict whether a patient is likely to get re-admitted to hospital and take preventive actions.

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.

This module describes how we can leverage Deep Learning networks to analyze panoramic dental x-rays and automatic segmentation of mandibles. This is a fast and accurate method and will help in diagnosis and registration of dental records.

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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
  • Life Science and Health Care training with placements
    Additional Assignments of over 60+ hours
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    Live Free Webinars
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    Resume and LinkedIn Review Sessions
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    Lifetime LMS Access
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    24/7 Support
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    Job Placements in Life Sciences and HealthCare Fields
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    Complimentary Courses
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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

healthcare analytics trainers

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 >
 
life sciences and healthcare analytics trainers

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 >
 
life sciences and healthcare analytics trainers

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 >
 
healthcare analytics certification - 360digitmg

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.

Alumni Speak
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"The course was well structured and our trainer was very thorough in the concepts. I liked the interview preparation and thanks to 360DigiTMG I got placed well.”

Pavan Satya

Senior Software Engineer

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"The faculty went to great depths to clarify our doubts. They gave us a lot of assignments and one very challenging live project. Great place to study.”

Venu Panjarla

AVP Technology

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"Data Science is an esoteric subject but this course made it so simple for me. I loved the course material and quizzes. The instructor was very helpful. You can learn a lot from this institute.”

Chetan Reddy

Data Scientist

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"The course material and infrastructure is sound. They keep a watch on us most of the time. They really helped me secure a job. I liked their placement assistance. Very sound institute.”

Santosh Kumar

Business Intelligence Analyst

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"Countless benefits of this course.Special Thanks to my mentors.It feels great to finally start working.”

Kadar Nagole

Data Scientist

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"Good ambience and a good team. They really guided me well from day one. I like my mentor very much. The course material is excellent.”

Gowtham R

Data Engineer

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"The trainers displayed good communication skills and made the sessions more interactive. This course has been really great.”

Wan Muhamad Taufik

Associate Data Scientist

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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 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.

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 both classroom and 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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