Analytics Fellow Program

Program Overview

This six-week Analytics Fellow Program was inspired by two significant projects in my professional journey.

  1. The program structure is rooted in the workflow of my past internship experience — a process where I received a problem, a pile of data, weekly feedback sessions gathering more context, and progressing step by step. The culmination is the creation of a mini Excel dashboard that I presented during job searches.

  2. The content of this program, however, is derived from another expansive project I led in the past — an enriched experience across various areas, including predictive analytics, dashboard design, business models, clinical workflows, and effective stakeholder communication.

This program is not just about learning; it's about blending content and process for a holistic, job-ready skill set.

Enrollment is currently open

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Enrollment is currently open ☆

Analytics Fellow - High Risk Patient Management
$288.00
One time

✓ Real world Scenario
✓ Hands on experience

If you are one of them, this program is for you.

  • New Grads

    New Grads

    Recent graduates aiming to enter the field of Healthcare Analytics

  • Healthcare Professionals

    Healthcare professionals eager to deepen understanding of Analytics in real world

  • Analytics Professionals

    Individuals with an analytics background seeking a transition into Healthcare

Technical Background Requirements:

  • This program is open to individuals with a basic understanding of data processing; it doesn't need to be advanced.

  • Participants will be provided with data, and you can choose your preferred tool—Excel, Python, SQL, or others—to process it. We will use Excel to demo the calculations and show the dashboard in Power BI.

  • It's about showcasing your understanding of a business problem and providing a practical solution rather than focusing on technical skills.

Key Takeaways

  • Hands-on experience in real-world analytics projects, including the design and development of customized dashboards/reports.

  • Comprehensive understanding of the business logic in the Health Care industry, .

  • Enhance your resume: Below is a sample resume outlining this experience and skills in healthcare analytics and high-risk population cost management

  • A certificate worth sharing with the world.

Why Advance Your Career in Healthcare and Data Analytics?

Pursuing a career in Business Data Analytics is an excellent choice for recent graduates, especially for those seeking sponsorship. Explore the H1B sponsor count over the past few years and salary distribution below. Business Data Analytics stands as the second-largest sponsoring sector, closely trailing behind Software Development.

Data Source: https://www.fitz.today/career-path-deep-dive

The Healthcare industry stands as the largest sector in the U.S., offering unparalleled job security and a multitude of opportunities. With a growing reliance on technology and data, there is an increasing demand for professionals in these fields within healthcare, such as health informaticians, data analysts, and IT specialists. Acquiring skills in healthcare and data not only ensures a stable career but also opens doors to significant future development, making it an ideal pathway for those seeking a rewarding and dynamic career, such as data scientists, product managers and healthcare technology innovators.

Popular Job Titles

  • Clinical Analyst

  • Medical Economics Manager

  • Healthcare Business Intelligence Analyst

  • Healthcare Data Analyst

  • Health Informatics Specialist

  • Healthcare Operations Analyst

  • Population Health Analyst

  • Healthcare Strategy Analyst

  • Healthcare Decision Support Analyst

  • Revenue Cycle Analyst

  • Healthcare Reporting Analyst

  • Healthcare Financial Analyst

  • Quality Improvement Analyst

  • Healthcare Performance Analyst

  • Managed Care Analyst

What else is out there? View entry-level or mid-career jobs in Healthcare Data Analytics on Indeed or LinkedIn.

Sample Job Description

Sr. Clinical Application Analyst

Source: https://www.linkedin.com/jobs/view/3766968538

What did fellows say

Our Program Offerings

Step into a holistic experience mirroring a journey I undertook during my internship at a specific company—let's call it "Green Apple Medical".

Your journey kicks off with the introduction to a tangible problem and a dataset, marking the initiation of this exploration - “How to effectively manage High Risk Population’s overall medical cost?”

Why we picked this problem: Value-Based Care focuses on delivering high-quality healthcare while optimizing costs. Efficiently managing the medical expenses of high-risk populations is the key to be successful in the Value-Based Care market. We will cover more details in the first week content.

Each subsequent week will guide you through a process, starting with getting to know the business, the company, meeting its people, and delving into the stories behind. As your understanding deepens, you'll continuously refine your solution with the existing dataset. Throughout this process, I'll provide feedback and context to aid your journey. Ultimately, we'll collaboratively craft a dashboard for you to present in the end of this program.

Additionally, I'll share the answers I generated during the real-life scenario at that time. While not necessarily the best solutions, they represent my practical experience.

Program Kick Off

  • Program Introduction

  • Download initial Dataset

  • The Business Problem: How to effectively manage High Risk Population’s overall medical cost’?

    Peer discussion after class:

  • Introduce each other

  • Your most loved technical tool/software

Week 1: The company - Why we need to manage High Risk Population’s cost

  • What is Value-Based Care

  • What is Medicare Advantage and what is Green Apple Medical’s business model

  • What are the existing process for High Risk Population Cost Management, including predictive analysis and operation workflow

    Analytics Practice:

  • Initiate exploration to understand the data fields

  • Calculate the basics

Week 2: The problem - Why a great predictive algorithm is not enough

  • What does the structure of a medical provider company look like

  • Who works in the corporate office, what are the department functions

  • What are the challenges in existing High Risk Population Cost Management and why the failed before

  • What are the most commonly used Key Performance Indicators (KPIs)

    Analytics Practice:

  • Make a Performance Review Dashboard

Week 3: The people - What defines a “good” analytics tool

  • Actionable is the most important feature of data analytics, understand the end user is the key

  • What is the organizational structure of the Operations department

  • What does the day-to-day work of leaders at different levels look like

  • How to combine data insights with operation workflow

    Analytics Practice:

  • Conduct a Root Cause Analysis based on medical center actions

Week 4: The solution - How other companies use data to support decisions and actions

  • How to create customized KPIs

  • What are the 3 types of analytics

  • How a dashboard provide actionable insights

    Analytics Practice:

  • Build your VIP management dashboard - Prescriptive Analytics

Week 5: The Result - a pilot program

  • A good dashboard is not equal to a good result

  • What is beyond a dashboard in reality

  • Always test before implementation

    Analytics Practice:

  • Finalize all your analytics work, make it sustainable.

Week 6: Instructor Presentation - How I presented this project

  • Instructor will present the real-life solution from that project

  • This is also how I presented in interviews and got offers

    Analytics Practice:

  • Enhance your resume and interview preparation with this project

Bonus Time:

  • 30 minutes 1:1 with instructor

  • Tackle any uncertainties you may have regarding your resume, interviews, and career development

Meet your instructor

Fitz

I began my career as a dentist in Shanghai, China, working in a dental hospital over a decade ago. Seeking a new challenge after experiencing burnout, I transitioned to the United States to pursue a Healthcare MBA program.

Throughout the program, I completed two internships that immersed me in healthcare data analytics. This Analytics Fellow Program I am providing was inspired by that experience. Applying this newfound knowledge, I embarked on my journey as a Clinical Analyst.

My professional path led me through various healthcare organizations, where I progressed within the analytics and strategy domain, ultimately reaching the role of Director. To drive scalability in analytics, I transitioned into Product Management.

Presently, I hold the position of Senior Product Manager at a Healthcare Analytics Company in San Francisco.

You can find me on 小红书, where I share my professional experiences.

Questions? Chat with us directly

Discord is a group chat platform, we are hosting our channel there to better communicate with you. 

Email:

Fitz@valuable-insight.com

Not ready yet?

Thank you for your interest in our program. If you need more time to think about it. Please leave your contact information and stay tuned for future announcements, and we look forward to welcoming you in the future class.

FAQs

  • Yes, but please note that as there is no employment relationship between students and Valuable Insight LLC, it does not fall under the "Intern" category in the job section. Please refer to the sample provided in the “Key Takeaways” section.

  • This program is organized by Valuable Insight LLC. We can provide proof of completion, shareable online.

  • The classes are scheduled to start on January 20, 2024, every Saturday, excluding the Chinese New Year on February 10. The specific time will be planned based on the available time of the majority, and we aim to be flexible to ensure most people can have a live experience. If that's not possible, we will provide course videos in the Fitz.Today membership area.

  • If you need to use PayPal, Alipay, etc., please use this link.

  • In the project, we will provide data, and participants can use any tool they are familiar with to process it, including Excel. We will use a Power BI Dashboard created with SQL as an example in our course.

  • Yes

  • The first cohort will not exceed 10 people.

  • You can either pay in full or in six installments; it does not affect the classes.

  • We will use Google Meet.

  • Course videos will be available on Fitz.Today, and all students can access the course page through their membership to rewatch the videos.

  • Before the course starts, we will create a WeChat or Slack group for communication.

Still have Questions?