8-Week Data Science Data Science Bootcamp

Gain Real-World Experience in Healthcare Data Analytics

Join our intensive 8-week internship program focused on Medicaid data analysis and healthcare informatics. Work with cutting-edge technologies and contribute to meaningful projects that impact healthcare outcomes.

Program Overview

Our program provides hands-on experience in healthcare data science, specifically focusing on Medicaid systems and time series analysis. You’ll work with real healthcare data, learn industry-standard tools, and develop expertise in a high-demand field.

Program Details:

Duration: 8 weeks, remote delivery
Focus Area: Medicaid data analysis and healthcare informatics
Team Structure: Small cohorts with collaborative project work
Mentorship: Daily standups and weekly progress reviews
Documentation: Professional reporting and technical documentation required

What You’ll Learn

Technical Skills

Python Programming: Advanced concepts using MIT’s comprehensive curriculum
Time Series Analysis: Hands-on experience with Prophet and forecasting models
Data Visualization: Creating compelling charts and dashboards with Mermaid diagrams
Database Management: Working with Gloodata platform and healthcare databases
Linux/Ubuntu: Command line proficiency and bash scripting
Version Control: GitHub workflows and collaborative development

Domain Expertise

Medicaid Systems: Understanding healthcare reimbursement and policy
Healthcare Data: Working with claims, patient records, and outcomes data
Regulatory Compliance: HIPAA and healthcare data privacy requirements
Industry Analysis: Reading and interpreting healthcare industry reports

Professional Development

Documentation: Technical writing using Mermaid for process diagrams
Collaboration: Daily standups and team-based project work
Reporting: Weekly progress reports in PDF and JSON formats
Networking: LinkedIn connections with healthcare data professionals

Program Structure

Week 1-2: Foundation Setup

Complete onboarding checklist and tool setup
Begin MIT Python programming courses
Introduction to Medicaid domain and healthcare data
Join professional networks and communication channels

Week 3-4: Technical Deep Dive

Master Gloodata platform through tutorials and practice
Develop bash scripting and Ubuntu proficiency
Start time series analysis training with Prophet
Begin assigned project work with team

Week 5-6: Project Development

Focus on assigned healthcare data project
Apply time series analysis to real Medicaid data
Create technical documentation with Mermaid diagrams
Collaborate with team members on project components

Week 7-8: Project Completion

Finalize project deliverables and analysis
Prepare comprehensive project documentation
Present findings and recommendations
Complete final reports and portfolio materials

Daily Expectations

Daily Standups

Regular team meetings to discuss progress and challenges
Opportunity to ask questions and get guidance
Coordination with team members on project work

Weekly Reporting

Submit detailed progress reports every Friday
Reports required in both PDF and JSON formats
Include accomplishments, challenges, and next steps

Continuous Learning

Work through MIT Python programming curriculum
Complete Gloodata tutorials and practice exercises
Study healthcare domain knowledge and industry trends

Technology Stack

Core Tools:

Python: Primary programming language with focus on data analysis
Gloodata: Healthcare data platform for analysis and visualization
Ubuntu/Linux: Development environment and command line tools
Prophet: Time series forecasting and analysis
Mermaid: Technical documentation and process diagrams
GitHub: Version control and collaborative development
Claude AI: Recommended AI assistant for development support

Communication:

Telegram: Team communication and coordination
LinkedIn: Professional networking and industry connections

Application Requirements

Eligibility Criteria

Currently enrolled in or recently graduated from a degree program in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
Must be legally authorized to work in the United States
Available for full-time remote work for 8 consecutive weeks
Strong analytical and problem-solving skills
Excellent written and verbal communication abilities

Required Documents

Resume/CV highlighting relevant coursework and technical experience
Cover Letter explaining interest in healthcare data analytics
Academic Transcripts (unofficial copies acceptable)
Portfolio showcasing programming projects (GitHub repository preferred)
Two References (academic or professional contacts)

Technical Prerequisites

Basic programming experience (Python strongly preferred)
Familiarity with data analysis concepts and statistical methods
Experience with version control systems (Git/GitHub)
Willingness to learn Linux/Ubuntu command line interface
Understanding of database concepts and SQL basics

Interview Process Following initial application review, qualified candidates will participate in:

Technical Assessment – Programming challenge and data analysis problem
Professional Interview – Discussion of experience, goals, and fit
Background Verification – Reference checks and eligibility confirmation
Final Offer – Placement fee arrangement and start date coordination

Completion Benefits

Professional Deliverables

Bootcamp Completion Certificate documenting your 8-week program participation
Performance Evaluation with detailed feedback on technical and professional growth
Project Portfolio showcasing real healthcare data analysis work
Professional References for future job applications and graduate school

Package Options Available:

Standard Package: Completion certificate and performance evaluation
Premium Package: Includes recommendation letter and graduate school application support (additional services available)

Career Development

Resume Enhancement with verified healthcare data science experience
LinkedIn Profile Optimization with new skills and project experience
Professional Network connections in healthcare informatics field
Industry Knowledge in high-demand Medicaid and healthcare analytics sector

Technology Setup Requirements

Before Starting:

Create GitHub account for version control and project collaboration
Set up LinkedIn profile and connect with program coordinators
Install Ubuntu/Linux environment or virtual machine
Establish Telegram account for team communication
Access to reliable internet connection for remote work

Provided Resources:

Access to Gloodata healthcare analytics platform
MIT Python programming course materials and guidance
Sample documentation templates and Mermaid diagram tools
Weekly mentorship and technical support
Professional development workshops and industry insights

Application Process

Application Timeline:

Applications Accepted: Rolling basis with monthly cohort starts
Review Process: 1-2 weeks from submission to interview scheduling
Interview to Offer: 3-5 business days after successful interview
Start Date: Coordinated based on cohort availability and candidate readiness

How to Apply: Submit your complete application package including all required documents. Applications are reviewed in the order received, and qualified candidates are contacted for interviews within one week of submission.

Questions? Contact our program coordinators for additional information about the application process, technical requirements, or program logistics.

This program provides specialized training in healthcare data analysis with focus on Medicaid systems and regulatory compliance. All internships are conducted remotely and include comprehensive professional development components. Click Here to start the application process.