Full Stack Data Scientist Training & Certification

This Full-Stack Data Scientist training and certification course includes a total of 3 certifications with training for Certified Business Analytics Practitioner, Certified Machine Learning Master, Certified DevOps Engineer.

Full-Stack Data Scientist course curriculum is mainly focused on sharing in-depth knowledge about:

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

1.Product management (BA)

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

2.Data engineering and Database Management

1. SQL & NoSQL Databases
2. MySQL deep dive
3. Stream processing
4. Batch processing
5. Data pipelines
6. Big data technologies
7. Spark and Hadoop
8. Airflow

3.Python Programming for Data Science

1. Python for data science
2. Detailed Python curriculum - required for data science
3. Data Analytics Libraries
4. Data Visualization - matplotlib, seaborn, plotly
5. Exploratory Data Analysis

4.Practical Approach for Data Science with AL/ML

1. Overview of Data Science
2. Business problem understanding
3. Statistics for Data Science [need to be detailed]
4. Machine Learning overview and Techniques
5. Supervised Machine Learning
6. Algorithms - Linear Regression, Logistic Regression, Decision, Random forest, SVM
7. Unsupervised Machine Learning - clustering algorithms
8. AI and Data Science
9. ANN, RNN, CNN Overview
10. Deep learning overview

5.Machine Learning Model Deployment using DevOps

1. Infrastructure
2. Automation
3. Monitoring, Reliability
4. Microservice architecture
5. Docker
6. Kubernetes
7. Ansible
8. Tools for model deployment
9. Continuous integration and deployment - jenkins
10. AWS Overview & Important AWS services
11. Machine Learning Model Deployment on AWS

Professionals who belong to the following fields are eligible to take up the Full Stack Data Scientist course:

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

This Full Stack Data Scientist training focuses on experiential learning. The material of this course is divided into interactive sessions.

Not only this, if you are participating, expect yourself to get indulged with interesting group activities. By this, you will get a chance to put the theory into action.

This training will be nothing like any ordinary training you imagine. We follow a vast range of creative methodology which will allow you to wrack your grey matter and boost your energy up to participate.

The key features of our training program would be:

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

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 gainining knowledge of other fields too.