Professional Certificate in
Hospital Analytics Course
- Get Trained by Trainers from ISB, IIT & IIM
- 16 Hours of Intensive Classroom & Online Sessions
- 20 Hours of Free Python Programming Videos
- Get IBM Certification at Additional Cost
- Get Quiz Questions and Use Cases
2024 Learners
Academic Partners & International Accreditations
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.
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.
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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
Trends in Hospital Analytics Course
Hospitals have always held great importance in today's pandemic-prone world. Well, the functioning of hospitals is vital as they handle life-and-death situations daily. With the use of hospital analytics software, the daily functioning of hospitals will become more intuitive and efficient.
Cutting down administrative costs
With the help of Hospital Analytics, the pharmaceutical and data analytics team can help medical institutions in streamlining budgets and make changes that are sustainable and safe.
Suppressing fraudulent behavior
Fraudulent behavior can be quashed if the institutions can have a history of individual patients. They can cut down costs and use time properly. A proper Data Analytics tool can achieve the best solution possible.
Improved patient wellness
Data Analytics can assist hospital staff in recognizing the novel treatment for the patient with their detailed medical history and can provide great patient aftercare with the help of their medical history.
How we prepare you
- Get Quiz Questions and Use Cases
- Live Free Webinars
- Resume and LinkedIn Review Sessions
- Lifetime LMS Access
- 24/7 Support
- Job Placements in Hospital Analytics Fields
- Complimentary Courses
- Unlimited Mock Interview and Quiz Session
- Hands-on Experience in Live Projects
- Offline Hiring Events
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Certificate
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.
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Alumni Speak
"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
"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
"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
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"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
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"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 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
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 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
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
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
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
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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