Data Science and Machine Learning in Healthcare: Solving Real-Life 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.

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Do you want to use data science and machine learning to solve real-world business problems in the healthcare sector? With this training, you can unlock the power of data to improve patient care and make better business decisions. I will show you how to use data science and machine learning principles to get the most out of your data. Together, we can make healthcare better for everyone. Sign up for my training today and take the next step of your data journey.

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

Data Science and Machine Learning in Healthcare: Solving Real-Life Business Problems is an intermediate-level training that requires familiarity with the topic. Professionals who lack relevant knowledge are encouraged to dedicate some time to self-preparation before the event to build the necessary foundation. Contact us to discuss in detail if the training is suitable for your team.

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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.

20+ years of experience

Book Author

ML in Healthcare & Telecom

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

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Curriculum

15 hours 10 min

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.

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