The healthcare claim adjudication process is a complex and multi-step process that requires accurate data, effective processes, and robust technology to ensure timely and accurate payment of claims.

This training program covers the following topics:

• Fundamentals of Healthcare: Overview of the healthcare system, healthcare organizations, and healthcare processes.
• Healthcare IT Analyst: Overview of the role of Healthcare IT Analyst, QA Analysts, Systems/Configuration Analysts, and Healthcare Business Analysts in the healthcare system and the importance of data quality.
• Healthcare Claims Processing: Overview of the healthcare claims processing process, including the different steps involved and the role of EDI, Contracts, Benefits, Claim Finance Codes, COB, Authorization etc.
• Healthcare EDI Transactions: Overview of the most common EDI transactions used in the healthcare industry, including 837, 276/277, 835, 834, 270/271, and 824.
• Healthcare Regulations: Overview of the regulatory landscape in healthcare, including HIPAA, and ICD-10.
• Healthcare Data Analytics: Overview of healthcare data analytics, including data warehousing, data mining with SQL, and data visualization.
• Software Testing in Healthcare: Overview of software testing in the healthcare industry, including test planning, test design, test execution, and test reporting.
• Healthcare Project Management: Overview of project management in the healthcare industry, including project planning, project execution, and project control.
• Healthcare Industry Trends: Overview of the latest trends in the healthcare industry, including digital transformation, data privacy, and patient engagement.

This training program should provide hands-on experience in a simulated healthcare environment and exposure to real-world healthcare IT projects. The program should be designed to provide students with a strong foundation in Healthcare IT, preparing them for careers as Healthcare IT Analyst, QA Analysts, Systems/Configuration Analysts, and Healthcare Business Analysts.

Training Length: 1 Month (3 days a week - 8.00 pm to 10.00 pm EST)

Training Fee: $3,499.00

Call: (703) 229-2733 / (314) 203-8960  

Course Highlights:

1. Java Fundamentals: Lay a rock-solid foundation by mastering the fundamentals of Java, including data types, control structures, and object-oriented principles.

2. Advanced Java Concepts: Dive deep into advanced topics such as multithreading, exception handling, and file handling to create robust, efficient applications.

3. Web Development with Java: Learn how to design and develop web applications using Java-based technologies.

4. Database Integration: Discover the art of integrating databases into your applications using JDBC (Java Database Connectivity).

5. Spring Framework: Explore the widely used Spring framework to build scalable, maintainable, and high-performance Java applications.

6. Hibernate: Delve into Hibernate, a popular Object-Relational Mapping (ORM) framework, to simplify database operations and enhance your application's efficiency.

7. Project Work: Apply your knowledge by working on real-world projects, gaining hands-on experience in solving practical development challenges.

Why Choose Our Program:

• Industry-Experienced Instructors: Learn from experts who bring years of practical experience to the classroom.
• Hands-On Learning: Our curriculum is designed to ensure you gain practical, job-ready skills.
• Job Placement Assistance: We provide guidance and support to help you kickstart your career as a Java Developer.

Who Should Attend:

• Aspiring programmers looking to enter the world of Java development.
• Software developers wishing to expand their skill set.
• Tech enthusiasts interested in mastering a versatile programming language.

Course Highlights:

1. Web Development Fundamentals:

• Learn the basics of HTML, CSS, and JavaScript.
• Understand web development concepts and principles.

2. Front-End Development:

• Master React.js, a popular JavaScript library for building user interfaces.
• Develop dynamic and interactive web applications using React components.

3. Back-End Development:

• Explore Node.js and Express.js for server-side application development.
• Learn about RESTful APIs and how to create them.

4. Databases and Data Management:

• Integrate databases into your applications using SQL and NoSQL databases.
• Study database design and optimization.

5. Full Stack Integration:

• Bring together front-end and back-end components to create full-stack applications.
• Understand the flow of data between the front end and the server.

6. Version Control and Collaboration:

• Utilize Git and GitHub for version control and collaborative coding.
• Learn best practices for teamwork and code management.

7. Web Security:

• Explore web security concepts to protect your applications from common vulnerabilities.
• Understand authentication and authorization techniques.

8. Deployment and Hosting:

• Deploy your applications to cloud platforms like AWS, Heroku, or Netlify.
• Learn about server configuration and application hosting.

9. Real-World Projects:

• Apply your knowledge to develop real-world projects.
• Gain hands-on experience in solving practical development challenges.

Why Choose Our Program:

• Experienced Instructors: Learn from industry professionals with years of experience in full-stack development.
• Hands-On Learning: Our program focuses on practical, job-ready skills through coding projects.
• Job Placement Assistance: Receive guidance and support to launch your career as a Full Stack Developer.

Who Should Attend:

• Aspiring developers looking to become proficient in full-stack web development.
• Software engineers aiming to broaden their skills and work on both front-end and back-end.
• Tech enthusiasts seeking a comprehensive understanding of web development technologies and tools.

This Full Stack Developer course will equip you with the knowledge and skills to excel in building modern web applications and prepare you for a successful career in web development.

Course Highlights:

1. Introduction to Ethical Hacking

   • Understanding the ethical hacker's role
   • Ethical hacking methodologies and concepts

2. Information Gathering and Reconnaissance

   • Passive and active reconnaissance techniques
   • Footprinting and fingerprinting

3. Scanning and Enumeration

   • Port scanning and service enumeration
   • Vulnerability scanning and assessment

4. Vulnerability Assessment

   • Identifying and assessing system vulnerabilities
   • Scanning for common vulnerabilities

5. Exploitation and Gaining Access

   • Exploiting system vulnerabilities
   • Gaining unauthorized access to systems

6. Post-Exploitation

   • Maintaining access and privilege escalation
   • Covering tracks and erasing evidence

7. Web Application Security

   • Common web vulnerabilities (e.g., SQL injection, XSS)
   • Web application penetration testing

8. Wireless Network Security

   • Wireless network vulnerabilities and attacks
   • Securing wireless networks

9. Network and System Security

   • Network security principles
   • System hardening and security best practices

10. Social Engineering

    • Techniques and prevention
    • Human factors in security

11. Cryptography and Encryption

    • Understanding encryption and decryption
    • Cryptographic protocols and tools

12. Firewalls and Intrusion Detection Systems

    • Configuring and managing firewalls
    • Detecting and responding to intrusions

13. Security Tools and Resources

    • Introduction to security tools (e.g., Wireshark, Metasploit)
    • Online resources for ethical hackers

14. Legal and Ethical Considerations

    • Laws and regulations related to ethical hacking
    • Professional and ethical responsibilities

Why Choose Our Program:

• Expert Instructors: Learn from industry professionals with extensive experience in ethical hacking.
• Practical Labs: Gain hands-on experience with real-world hacking scenarios in a safe environment.
• Certification Preparation: Get ready for certifications like Certified Ethical Hacker (CEH).
• Job Placement Assistance: Access guidance and support to start your career as an ethical hacker.

Who Should Attend:

• IT professionals interested in cybersecurity and ethical hacking.
• Network and system administrators looking to enhance security skills.
• Cybersecurity enthusiasts aiming to enter the world of ethical hacking.
• Anyone interested in understanding and mitigating cyber threats.

Course Highlights:

Introduction to Data Analysis

• Data Analysis Fundamentals: Understanding the basics of data analysis and its importance.
• Data Types and Data Sources: Learn about different data types and sources.
• Introduction to SQL: Explore the fundamentals of SQL for data retrieval and manipulation.

SQL Fundamentals

• SQL Queries: Writing SQL queries for data retrieval.
• SQL Functions and Aggregations: Utilizing functions and aggregations to summarize data.
• SQL Joins and Relationships: Understanding how to join tables and work with related data.

Data Cleaning and Preprocessing

• Data Cleaning Techniques: Learn to clean and preprocess messy data.
• Missing Data Handling: Strategies for dealing with missing data.
• Outlier Detection: Identifying and handling outliers in data.

Exploratory Data Analysis (EDA)

• EDA Concepts: Understand the key concepts of EDA.
• Data Visualization: Creating visual representations of data.
• Statistical Analysis: Applying statistical methods to gain insights from data.

Advanced SQL and Database Integration

• Advanced SQL: Master advanced SQL topics for complex queries.
• Database Integration: Learn how to integrate SQL databases into your data analysis workflow.
• Case Studies: Analyze real-world data using SQL and databases.

Data Analysis with Tools

• Introduction to Data Analysis Tools: Explore tools like Excel, Python, and R.
• Data Visualization Tools: Learn to create data visualizations using tools like Tableau or Power BI.
• Working with Big Data: Understand big data concepts and tools (e.g., Hadoop, Spark).

Machine Learning for Data Analysts

• Machine Learning Fundamentals: Introduction to machine learning.
• Supervised and Unsupervised Learning: Explore various ML algorithms.
• Machine Learning in Data Analysis: Applying ML techniques to data analysis.

Capstone Data Analysis Project

• Project Selection: Choose a real-world data analysis project.
• Project Execution: Apply the skills learned to complete the project.
• Project Presentation: Present your findings and analysis.

Data Ethics and Best Practices

• Data Ethics: Learn about data privacy, security, and ethical considerations.
• Best Practices: Explore industry best practices for data analysis.
• Job Interview Preparation: Prepare for data analyst job interviews.

Why Choose Our Program:

Experienced Instructors: Learn from instructors with industry experience in data analysis and SQL. Hands-On Learning: Gain practical, job-ready skills through hands-on projects and exercises. Job Placement Support: Receive guidance and support to kickstart your career as a Data Analyst. Who Should Attend:

• Aspiring Data Analysts looking to enter the world of data analysis.
• Software professionals seeking to enhance their data analysis skills.
• Tech enthusiasts interested in mastering data analysis with SQL.

This program provides a comprehensive learning path for individuals aspiring to become proficient data analysts with expertise in SQL and practical data analysis skills.