Certificate Course in
Life Sciences and HealthCare Analytics Course in USA
- 40 Hours of Intensive Classroom & Online Sessions
- 60+ Hours of Practical Assignments
- 2 Capstone Live Projects
- 100% Job Placement Assistance
461 Reviews
2167 Learners
Academic Partners & International Accreditations
"LifeSciences and Healthcare Analytics market has the potential to scale up to $33 billion by 2024." - (Source). USA healthcare companies have decided to move from traditional methods to analytical applications such as genomics analytics, imaging analytics, Supply chain management, Automation, Blockchain, Artificial Intelligence, Natural Language Processing (NLP), etc. The companies which have adopted advanced technologies have reached success with revenue generation from $4.5 billion to $5.5 billion and are ready to invest $1.2billion every year to build advanced capabilities related to data analytics. This kind of approach gains the trust of the patients and helps in improving healthcare services in the near future. Thus, creating a bundle of opportunities for Healthcare Analysts or Life Sciences professionals with Analytical skills.
Life Sciences and HealthCare
Total Duration
1 Month
Prerequisites
- Computer Skills
- Basic Mathematical Knowledge
- Analytical Mindsets
Life Sciences Healthcare Analytics Course Overview
This course is meticulously designed to proportionately combine Statistical Analysis, Predictive Modeling, Machine learning, and Deep Learning to facilitate better delivery of healthcare. Enterprises all over the world in the healthcare sector are fully utilizing Analytics powered by Artificial Intelligence thereby enhancing their productivity and innovative edge. 360DigiTMG has conducted extensive research on the current trends and probable future trends and designed the Certification Program in Healthcare Analytics. It is highly recommended for IT Business Analysts, Data Scientists, and Healthcare practitioners.
Life Sciences, Healthcare Analytics Learning Outcome
360DigiTMG offers the best training in Life Sciences and Healthcare Analytics in the USA by industry stalwarts. Healthcare analytics course is built as per the requirements of the Healthcare sector, it includes all the relevant technologies where students should be well educated to become a Professional Healthcare Analyst or Data Scientist. This certification program is designed specifically for the people who are health care practitioners and have knowledge of Life sciences. Students will be exposed to EHR data types, analyze clinical data. Learn about applications of Machine learning technologies. Able to provide solutions for complicated clinical environments. The Healthcare sector is in the stage of transformation from traditional to digital data-driven. Healthcare apps are going to be launched, AI and Machine Learning technologies are going to be incorporated into drug discovery, diagnosis, and treatment. There is a huge scope for lIfe Sciences practitioners who have analytical skills in the long run.
Block Your Time
Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
- Math, Science and Commerce Graduates
Life Sciences & Healthcare Analytics Course Module
360DigiTMG is offering Life Sciences and Healthcare Analytics courses in the USA. In the USA many innovations and discoveries are happening in the life sciences sector which is leading to novel treatments and drug discoveries. Massive investments are also involved to develop the Healthcare business and change the traditional process integrating data analytics tools. Life Sciences and Healthcare Analytics modules are comprehensively designed by prominent industry experts as per the latest business trends. The modules introduce the students to the exciting world of LSHC - the various sub-domains and the impact of Data Science. It also describes the advent of Big Data in Life Sciences and how that has changed the landscape. The focus of this module is to address the 4Ws of Healthcare Data Lifecycle - Who, What, Where, and When. It also gives a deeper appreciation of Analytics in Healthcare and the Life Sciences domain. The other modules of this course introduce EHR is electronic health records and other forms of data. Much emphasis will be given on the application of statistical tools Python and R and their importance in learning Data Analytics. Will learn the concepts of Deep Learning and Machine learning and can leverage Deep learning networks to analyze panoramic dental x-rays. Learn about Genomics, Proteomics, and Metabolics. Learn about Data modelling, predictive modelling, and clinical Natural language Processing. Through hands-on training, students will be able to learn the concepts and applications comprehensively. All the modules will be explained with real-time projects under the guidance of industry experts. Healthcare Analytics in the USA is emerging with advanced technologies, resourceful, and flexible work models that are going to attract the talent that has much potential to add more value to the business.
The purpose of this module is to introduce the exciting world of LSHC - the various sub-domains and the impact of Data Science. We will briefly talk about the life sciences market size and prepare our learners for an in-depth dive into the industry with relevant examples and use cases. It also describes the advent of Big Data in Life Sciences and how that has changed the landscape.
This module will introduce the different types of healthcare data like the rich data structures contained in Electronic Health Records (EHR). Work with MIMIC- II data and other types of data like images from radiology, pathology, etc.
The focus of this module is to address the 4Ws of Healthcare Data Lifecycle - Who, What, Where and When. It also gives a deeper appreciation of Analytics in Healthcare and the Life Sciences domain.
Using the popular Python and R programming languages, this module will enable learners to analyze the healthcare data including EHR and MIMIC- II datasets. They will also learn how to use Python to work with Big data in the field of LifeSciences.
The purpose of this module is to introduce the different Data Models prevalent in Life Sciences and Healthcare Data. Students will be exposed to Entity- Relationship diagrams and enunciate how to utilize them in providing Healthcare and Bio-statistics models. It will help learners in 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
This module will help in building a predictive model to determine if a patient is likely to get re-admitted based on historical data, current diagnosis, treatment, lifestyle and behavioral indicators which will ultimately help take preventive measures.
This module introduces Natural Language Processing techniques and how they can be applied to clinical trial data. Students will also be exposed to some toolsets used in real-life scenarios and will be able to extract information stored in Electronic Medical Records (EMRs).
This module introduces students to the Multi-Layer Perceptron (MLP) which is the most common version of Artificial Neural Networks (ANNs). Students will also learn how they can be used to predict on EHR and other types of healthcare data. They will also predict a model that can detect cancer from DICOM images using Convolutional Neural Network (CNN) models. Finally, this model will inform the students about the limitations of Deep Learning Models in the Life Sciences and Healthcare Domain.
In this module, students will learn how to take advantage of Deep Learning Architectures to analyze and extract insights from panoramic dental x-rays to facilitate the segmentation of mandibles automatically. Students will see that this method is accurate and pretty quick in diagnosing dental records.
Tools Covered
Life Sciences & Healthcare Analytics Trends in USA
The US healthcare data analytics market is emerging at a rapid rate, as healthcare sectors are depending upon the IT-enabled solutions like business intelligence, data management, AI Machine learning, NLP, and automation to transform their clinical performance and operational agility. Let's have a look at the top technology trends that are impacting the life sciences industry. Life Sciences companies are focusing on Cloud-based technology to make data-driven decisions in Clinical research. Huge investments are being made in Drug Discovery and Research and development which are keen on adopting novel technologies like IoT, Augmented reality, and additive manufacturing. Life sciences companies are integrating advanced technologies like AI and Machine Learning into their DevOps for better outcomes, and monitor financial transactions and reinvest in automation.
Big Data Analytics plays a pivotal role in the Pharmaceutical sector. As a massive amount of data is generated in this sector, pioneers are anticipated to bring in the latest technologies to analyze the data and drive valuable insights that help in the discovery of many innovations. This will lead to better healthcare in the future. With the Data management approach, data of Life sciences transform the healthcare environment to a much better place. Treatment will be based on the probabilities and evidence delivered by data analysis. The novel tools and techniques are going to be implemented for productive decision making. This will facilitate the development of business in the healthcare sector and will sustain further. Life sciences practitioners with knowledge in data analytics skills are in great demand who can be taken into pharmaceutical sectors to draw insights from the clinical data.
How We Prepare You
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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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3 Month Access to LMS
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24/7 support
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Job Assistance in Data Science 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 a Live Project
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Life Time Free access to Industry Webinars
Call us Today!
+60 19-383 1378Life Sciences, Healthcare Analytics Panel of Coach
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
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
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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
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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Alumni Speak
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
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"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
Thanujah Muniandy
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"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
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"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
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"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
Our Alumni Work At
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FAQs for Life Sciences & Healthcare Analytics
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 program. 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 program package.
Jobs in the field of Life Sciences and HealthCare Analytics in USA
Job titles available are Health care Analyst, Senior Analyst, Project Management Analyst, Data Analyst in healthcare domains.
Salaries for Life Sciences and HealthCare Analytics Professionals
The average salary for Healthcare Analysts in the USA at an early level is $67,363 and at the mid-career level, the average salary is $71,036 approximately.
Life Sciences and HealthCare Course Projects
The life sciences industry is always on a constant drive with advanced research and development. Latest innovations in drug discovery, Gene therapy, huge investments in drug launches, and discoveries like telemedicine, Healthcare apps, etc.
Role of Open Source Tools in Life Science and HealthCare Analytics
Python, R, R studio, and Jupyter are the open-source tools that are essential for learning Healthcare Analytics.
Modes of Training of Healthcare Analytics Course
360DigiTMG offers students the option of both classroom and online learning. We also support e-learning as part of our curriculum. 1:1 individual mentorship is provided to the students to guide them throughout the course.
Industry Application of Life Science and HealthCare Analytics Course
Healthcare Analytics is gaining popularity and has great potential in sectors like Hospitals, Research and Development, Drug discovery, Biomedicine, Pharmacy, Insurance, and so on.
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.
Student Voices
Sana Ahsan
2 years agoI still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
Suriyaa Kumar
2 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
2 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
2 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
2 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
