Learn LIVE with
Vamsi Nellutla
Data Science and Machine Learning in Healthcare: Solving Real-Life Business Problems
Help employees understand how to apply data science and machine learning principles to solve real-life healthcare business problems.
Harness the Power of Data You Already Have
The healthcare sector accounts for over 30% of the global data volume. However, it’s a big leap from having data to using it to improve patient care and make informed business decisions. And the only way to bridge the gap is to apply data science and machine learning techniques. That said, most employees in the healthcare sector don't have the expertise to do that, and educating them requires a lot of resources. As a result, healthcare organizations often struggle to keep up with the data-driven world. My training offers an affordable all-in-one solution to bridge the gap between data and decision-making. I will teach your team how to use data science and machine learning to solve real-life healthcare business problems, improve patient care and make informed decisions.
Cultivate a Data-Driven Culture to Improve Healthcare
Help people live longer, healthier lives
Make an impact on the world by improving the healthcare business decision-making process.
Be at the forefront of innovation
Help your team understand the applications of big data in the healthcare industry.
Bridge the skills gap in your organization
Enable your employees to use data science and machine learning principles to solve healthcare business problems.
Vamsi Nellutla
Who Is This Course For
Business Leaders
You take organizations to new heights of prosperity with top-notch leadership and practical data skills
Business Analysts
You guide organizations into adopting data-driven strategies that optimize business processes and functions
Computer Engineers
You design computer systems that maximize system operations and build upon competitive strengths
Level Of Difficulty
Intermediate
Meet Vamsi Nellutla
Principal data scientist, book author, founder of a data science training center—Vamsi Nellutla has a wealth of experience in all things data.
Here’s What Your Team Will Learn
- Identify data-driven opportunities for improving patient care
- Apply data science and machine learning techniques to analyze healthcare data
- Understand the ethical implications of data-driven decision-making in healthcare
- Understand the data privacy and security considerations in healthcare
- Utilize data visualization techniques to present data-driven insights
- Use data-driven insights to solve real-life healthcare business problems
Curriculum
Introduction 10 min
Session 1: Introduction to Data Science and Machine Learning 90 min
Overview of data science and machine learning
The types of data and algorithms used in data science and machine learning
How to identify the right data and algorithms for healthcare business problems
Session 2: Data Preparation 90 min
Cleaning and pre-processing data
Feature selection and engineering
Data normalization and scaling
Session 3: Exploratory Data Analysis 90 min
Descriptive statistics
Visualization techniques
Identifying data patterns
Session 4: Supervised Learning 90 min
Introduction to unsupervised learning
Clustering algorithms
Evaluation metrics
Session 5: Unsupervised Learning 90 min
Introduction to unsupervised learning
Clustering algorithms
Evaluation metrics
Session 6: Neural Networks 90 min
Introduction to neural networks
Working with deep learning frameworks
Training and tuning neural networks
Session 7: Advanced Techniques 90 min
Ensemble methods
Tree-based methods
Reinforcement learning
Session 8: Model Deployment and Evaluation 90 min
How to deploy models in production
Evaluating model performance
Model optimization
Session 9: Healthcare Business Applications 90 min
Identifying healthcare business problems
Applying data science and machine learning to solve healthcare business problems
Session 10: Final Project 90 min
Overview of the final project
Working with a real-world dataset to solve a healthcare business problem
Presenting the final project results
Frequently Asked Questions
How long does a live training last?
The instructor predetermines the length of a live training session. A single live training can last from a few hours to several days and include multiple sessions. The duration can also be adapted to your team’s needs upon request. To learn more, complete the signup form or contact us at team@365datascience.com.
Does my team need any relevant qualifications or experience to join a live training session?
No prior experience or qualifications are required to attend live training sessions. Each training has a dedicated page with all the details you need to make the right choice for your team—including information on what your team can expect, level of difficulty (beginner, intermediate or advanced), top benefits, and areas of expertise.
When does the live training usually take place?
We offer a great deal of flexibility concerning the dates and times of the live training. Sessions are scheduled according to your team's and instructor's availability.
How can I become a live training instructor?
If you possess outstanding qualifications in data science and enjoy sharing your knowledge with others, we’d love to hear from you. As a member of our community of industry-leading live training instructors, you’ll be delivering an excellent learning experience to our shared clients. We’ll manage all the admin—including integrating your training into our line-up and scheduling them according to availability. Use our contact form to get in touch.
How can I book a live training session?
Our live training sessions are open to all corporate clients who wish to accelerate their team’s progress through direct online coaching from industry leaders. Prices vary depending on the level of expertise you want your teams to acquire and the length of the training. Sign up using the contact form on the individual live training pages for more information on pricing and how to book.
Will my team have access to real-time conversations with industry experts?
Yes, direct communication with the instructors forms the backbone of our live training. Your team will have the opportunity to actively participate in the training, ask any questions relevant to their specific roles, and tap into the industry-leading expertise of our instructors. The goal is to boost engagement with the content and enable team members to pick up new skills quicker.
Attending live training sessions as a team will equip your employees with new practical skills and boost their professional confidence. Moreover, internal upskilling opportunities are an excellent way to create a sense of belonging in the workplace and improve job satisfaction.
How many team members can join a live training session?
Our live training sessions can host up to 100 participants. If you wish to invite more team members, specify the number of attendees as a comment on your request form or contact us at team@365datascience.com. We’ll always do our best to accommodate your needs.
Get Access to Live Training
Sign up for a live training session and powershift your data-fueled workflow optimization with real-time, skills-based learning by top industry-leading instructors.
- Renowned Industry Experts
- Community-Fostered Active Learning
- Training for All Skill Levels and Expertise
- Certificates of Achievement
From Excel to Tableau: Transform Your Spreadsheets Into Powerful Visualizations
with Shashank Kalanithi
Machine Learning at Light Speed: Rapidly Deploy Applications to The Cloud
with Shashank Kalanithi
Extract Value From Your Data
with Avery Smith
Data Visualizations & Dashboards That Will 10x Your Business
with Avery Smith
SQL for Solving Problems
with Ajay Halthor
Optimize Your Business the Machine Learning Way
with Ajay Halthor
Mathematics for Data Scientists & Machine Learning Engineers
with Ajay Halthor
Computer Vision with Neural Nets
with Richmond Alake
Data Literacy
with Jordan Morrow
Build a Data-driven Organization
with Jordan Morrow
How to Use Data to Grow Your Business
with Tina Huang
How to Create Data Content
with Ken Jee and Tina Huang
Data Science for Non-Technical People
with Ken Jee
Designing Ethical AI Systems
with Ken Jee
Communication Skills for Data Professionals
with Gilbert Eijkelenboom
MindSpeaking: From Data to Business – The Complete Training Program
with Gilbert Eijkelenboom
Create a Stimulating Environment for Your Data Talent
with Davis Balaba
Growth Framework
with Davis Balaba
Data Quality: How to Prevent, Diagnose, and Cure Bad Data
with Shailvi Wakhlu
Design To Act®: Scale Data Literacy and Storytelling within Your Organization
with Lee Feinberg
The Complete DAX Training
with Dimitar Shutev
Building Reports in Power BI
with Dimitar Shutev
Shape Your Data with Power Query
with Dimitar Shutev
Data Science in Banking and Financial Services
with Vinayak Deshpande
Data Science in HR
with Vinayak Deshpande
Data Science in Retail and FMCG
with Vinayak Deshpande
How to Master User Stories
with Marios Prifti
Data-Smart Marketing: Make Data-Driven Marketing Decisions
with Manuj Aggarwal
Data Science in Insurance
with Sujata Suvarnapathaki
Thoughtful Analytics: How to Drive Business and Product Success
with Shailvi Wakhlu
Revolutionizing Sales Outcomes: A Data-Driven Experience for Sales Leaders
with Manuj Aggarwal