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Hospital Analytics Course

With our Hospital Analytics course, you will gain the skills and knowledge necessary to excel in the field of healthcare analytics. Whether you're a healthcare professional looking to improve patient outcomes or an analyst seeking to optimize hospital operations, this course will prepare you to analyze data, identify trends, and make data-driven decisions. You'll learn how to use analytics to improve patient care, manage resources more effectively, and increase operational efficiency. By the end of this course, you'll be well-equipped to tackle the challenges of hospital analytics and take advantage of the numerous opportunities available in this exciting and rapidly growing field.
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Hospital Analytics course - 360digitmg
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Academic Partners & International Accreditations
  • Hospital Analytics course certification with Microsoft
  • Hospital Analytics course certification certification with NASSCOM certificate
  • Hospital Analytics course certification with INNODATATICS certificate
  • Hospital Analytics course certification with TUV
  • Hospital Analytics course certification with SUNY
  • Hospital Analytics course certification with NEF

The advancement of Data Analytics has changed the way businesses are done around the world. With the rise in data, analytics organizations can now make informed decisions with the huge wealth of data available. There are more than 6 million developers around the world who are working on data and with all the resources it will be a huge benefit for organizations in taking profitable insights.

Hospital Analytics

Program Cost

INR 12,000/-

Overview of Hospital Analytics Course

One of the fields that are gaining a lot from Data Analytics is Hospital Analytics. The adoption of hospital analytics is proving a great asset to the domain. Smart use of data in hospitals will help them in not only can the smart use of data make hospitals run more economically and profitably it can aid in saving lives and patient care. 360DigiTMG Hospital Analytics course will introduce you to all the latest technological advancements that will help you strategize and provide insights for the profit of the organization.

Hospital Analytics Course Training Learning Outcomes

The field of hospital analytics has been revolutionized by the integration of Machine Learning and Big Data Analytics. Our certification program has been designed specifically for hospital professionals and data professionals who want to learn how to leverage the power of big data analytics, machine learning, neural networks, and deep learning in the hospital industry. This comprehensive course provides an in-depth understanding of how data science and artificial intelligence can be applied to the hospital industry to improve productivity, increase profits, and make data-driven decisions. Through this content-rich program, you will gain a comprehensive understanding of the applications of data science and machine learning in the hospital industry, making it an essential program for anyone looking to excel in the field of hospital analytics.

Work with various information sources
Analyse structured and unstructured data using different tools and techniques
Develop an understanding of descriptive and predictive analytics
Apply data-driven, machine learning approaches for HR functions such as attrition prediction
Understanding how surveys work and perform analytics on them
Use ML techniques to create a personalized experience for employees
Use data visualisation concepts to represent data for easy understanding

Block Your Time

hr analytics course - 360digitmg

16 hours

Classroom Sessions

hr analytics course - 360digitmg

20 hours

Programming Videos

Who Should Sign Up?

  • IT Engineers: Infrastructure Optimization
  • Data and Analytics Manager: Data Management
  • Business Analysts: Performance Management
  • Data Engineers: Data Processing
  • Healthcare Data Analyst: Patient Insights
  • Healthcare Business Analyst: Operational Efficiency
  • Hospital Administrator: Resource Management
  • Clinical Analyst: Clinical Outcomes
  • Chief Medical Information Officer (CMIO): Health Information Management
  • Health Information Manager: Health Data Management
  • Healthcare IT Specialist: Healthcare IT Management
  • Healthcare Data Scientist: Predictive Analytics
  • Healthcare Consultant: Business Strategy
  • Quality Improvement Manager: Quality Management

Hospital Analytics Course Modules

  • Introduction to automation in Hospital management systems.
  • Use of analytics to analyze electronic health records (EHR).
  • Analysis of evidence-based medicine deployment systems.
  • Use of analytics for reducing hospital readmissions.
  • Use of analytics to reduce waiting times and length of stay.
  • Effect of patient care and other facilities on hospital rating.
  • Schedule automation.
  • Introduction to the various stages of analytics and using an historical example of the various stages can help understand the steps involved in analytics
  • Discussion on CRISP-ML (Q)
  • Explanation on the importance CRISP-ML (Q) in various Data Science related projects
  • Explanation on unsupervised and supervised learning
  • Explanation on the training, validation, and testing stages of supervised learning
  • Understanding right fit, underfit and overfit scenarios in supervised learning
  • Understanding Hyperparameter tuning in the context of overfit
  • This module covers the various steps of EDA
  • Discussion on the 4 business moment decisions in EDA
  • Discussion on univariate, bivariate, and multivariate EDA steps
  • Explanation of the various pre-processing steps involved in any Machine learning or Artificial intelligence project
  • Brief introduction to feature engineering
  • Re-cap of unsupervised learning in ML
  • Understanding of clustering in layman’s terminology
  • Understanding K-means clustering from a technical perspective
  • Understanding the usage of elbow curve and silhouette scoring to decide on the ideal number of clusters
  • Use Case: Clustering of nursing facilities using K-means clustering.
  • Re-cap on supervised learning
  • Understanding of nearest neighbor in ML
  • Understanding KNN algorithm and distance metrics
  • Understanding of early stopping point in training phase
  • Explanation of the need for odd number of neighbors when classifying
  • Use Case: Prediction of hospital ratings based on facilities and patient care using KNN.
  • Re-cap on Decision Trees
  • Understanding the various components of a decision tree
  • Understanding the idea behind root node and how it affects the overall tree
  • Understanding entropy and information gain concepts of decision tree to make logical choices on root node
  • Usage of hyperparameter tuning to optimize the tree
  • Use Case: Predicting hospital readmission and recommending approaches to reduce readmissions based on analytics.
  • Introduction to the concept of line equation
  • Correlation of line equation in ML terms
  • Understanding of correlation and its importance in Linear regression
  • Differentiating between the equations of SLR and MLR
  • Explanation on the OLS concept
  • Use Case: Staff schedule prediction based on the number of available staff using linear regression.
  • Re-cap on the topics covered before
  • Understanding the importance of AI
  • Understanding the reasoning behind the concept of neural networks
  • Explanation on the perceptron algorithm
  • Introduction to multilayer perceptron
  • Understanding the concept of weight calculations
  • Brief intro in gradient descent
  • Use Case: Predicting length of stay in the hospitals and recommending solutions to minimize the length of stay based on analytics.
Tools Covered
Hospital Analytics course using python
Hospital Analytics training using r programming
Hospital Analytics training using r studio programming
How we prepare you
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    Lifetime LMS Access
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Hospital Analytics Training program 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 >
Hospital Analytics certification course - 360digitmg


Earn a Hospital Analytics Course 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 Data Science in Hospital Analytics Course Certificate is your passport to an accelerated career path.

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


Our Alumni Work At

Our Alumni

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FAQs for Hospital Analytics Training Program

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.

Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.

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.

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

This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.

Jobs in the field of Analytics

Jobs in the field of Analytics

The field of hospital analytics offers a diverse range of job opportunities for professionals interested in leveraging data to optimize hospital operations, improve patient outcomes, and drive strategic decision-making. Some of the key roles include Healthcare Data Analyst, Healthcare Business Analyst, Hospital Administrator, and Healthcare IT Specialist, among others. These roles involve working with data and technology to develop insights and manage healthcare technology systems.

Salaries for Analytics Course

Salaries for Analytics Experts

Salaries for hospital analytics experts vary based on job role, experience, and location. On average, Healthcare Data Analysts earn around 5,00,000 lakhs per annum in India, while Healthcare Business Analysts and Healthcare IT Specialists earn around 6,50,000 and 6,00,000 lakhs per annum, respectively. Hospital Administrators can earn anywhere from 4,00,000 to 18,00,000 lakhs per annum depending on their experience and the size of the hospital.

Analytics Course Projects

Analytics Course Projects

The best way to build your knowledge is to work on live projects. There are various projects that one could venture into like patient readmission prediction, resource allocation optimization, healthcare cost analysis, patient satisfaction analysis, Clinical pathway optimization.

Role of Open Source Tools in Analytics Course

Role of Open Source Tools in Analytics

Programmers prefer open source tools because it helps them modify or improve upon the code. Many organizations have adopted tools of Analytics in a big way as they help them to analyze and visualize massive sets of Data. In this program, you will be exploring tools like R, RStudio, and Python.

Modes of Training for Analytics Course

Modes of Training for 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 Analytics Course

Industry Application of Analytics Course

Analytics plays an integral role in healthcare and is used to make data-driven decisions for better patient outcomes, increased efficiency, and improved operations. Its applications are used in various fields like patient diagnosis and treatment, resource allocation, demand forecasting, capacity planning, clinical performance analysis, and patient satisfaction.

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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