Full Stack Data Scientist -Scholarship Assessment Program

Key Features:

  • Full-Stack Data Scientist online and classroom training programs every weekend
  • Proper guidelines and hacks to deal with Data Science
  • Free practice tests and study materials
  • Trainers with 12+ years of industry experience
  • Avail Scholarship up to 80% from Global Skill Development Council

GSDC Scholarship Assessment Program:

Structure of Full-Stack Data Scientist


Course Curriculum:

  1. Building telecom churn management case study
  2. Handwritten digits identification
  3. Building a recommendation engine
  4. Practical case study on banking data
  5. Classifying cancer- case study
  6. Object detection in the live video feed, webcams, video files or YouTube
  7. Sentiment Analyzer for reviews

Exam Syllabus:

  1. Business Analysis & Stakeholders Overview
  2. Communication, Planning, Evaluation, Prioritization
  3. BA Tools Overview & Design Documents
  4. Stakeholder management BPMN, Requirement Elicitation & Management
  5. Enterprise Analysis, Agile & Scrum
  6. SQL & NoSQL Databases
  7. MySQL deep dive
  8. Stream processing
  9. Batch processing
  10. Data pipelines
  11. Big data technologies
  12. Spark and Hadoop
  13. Airflow
  14. Python for data science
  15. Detailed Python curriculum — required for data science
  16. Data Analytics Libraries
  17. Data Visualization — matplotlib, seaborn, plotly
  18. Exploratory Data Analysis
  19. Overview of Data Science
  20. Business problem understanding
  21. Statistics for Data Science [need to be detailed]
  22. Machine Learning Overview and Techniques
  23. Supervised Machine Learning
  24. Algorithms — Linear Regression, Logistic Regression, Decision, Random forest, SVM
  25. Unsupervised Machine Learning — clustering algorithms
  26. AI and Data Science
  27. ANN, RNN, CNN Overview
  28. Deep learning overview
  29. Infrastructure
  30. Automation
  31. Monitoring, Reliability
  32. Microservice architecture
  33. Docker
  34. Kubernetes
  35. Ansible
  36. Tools for model deployment
  37. Continuous integration and deployment — jenkins
  38. AWS Overview & Important AWS services
  39. Machine Learning Model Deployment on AWS


  1. IT Service Managers
  2. Project & Program Managers
  3. Business Analysts
  4. Testing Professionals
  5. Data Center Professionals
  6. Release Managers
  7. Change Managers
  8. System Architects
  9. System Engineers
  10. Project Managers, Program Managers, Delivery Manager
  11. Software Developers/ Team Leaders
  12. Business Development/Sales executives
  13. Customer Service Representatives
  14. Quality Assurance
  15. Subject Matter Expert in IT/KPO/BPO
  16. Web Developers
  17. Application Developers

Training Delivery Style:

  1. Training sessions in a storytelling format
  2. Exhibition of concepts with the help of professional examples
  3. Self-analysis and group discussions
  4. Case studies as the application of the concepts which were taught
  5. Vibrant presentations along with individual and team activities
  6. Post-training reading suggestions

Benefits of Full-Stack Data Scientist Training:

  1. Helps in gaining expertise in Product Management, Data Engineering, Machine Learning, Backend Engineering, and DevOps
  2. Covers the ML project lifecycle
  3. Invests in software engineering
  4. Along with skilling you up in with technicalities, it helps you in gaining knowledge of other fields too.

Examination Format:

  1. Firstly, you’d need to complete your Business Analytics Practitioner Certification.
  2. Then, you will have to go for Certified Machine Learning Master Certification.
  3. At last, you’ll finish off with your DevOps Engineer Certification.





We, "NovelVista Learning Solution" have expertise in providing high end training & Certification programs for ITIL®, PRINCE2,PMP, SIAM, Cloud, AWS, Devops etc

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We, "NovelVista Learning Solution" have expertise in providing high end training & Certification programs for ITIL®, PRINCE2,PMP, SIAM, Cloud, AWS, Devops etc

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