Our DataOps Training Courses

Begin your journey with India’s #1 online DataOps Program.

DataOps Training course introduces you to the concept of DataOps—its origins, components, real-life applications, and ways to implement it.

This program is equivalent to a 1 year Postgraduate Diploma. A rigorous and industry-approved Data Science and Machine Learning Program
Learn in-demand skills like Statistical Analysis, Python, Spark, Hadoop, Machine Learning, Seaborn, Matplotlib, Airflow and more
Build your portfolio by working on real-life business cases in DataOps

This DataOps training module provides certification on data mining techniques, data analytics, data visualization, and statistical machine learning.

Meet Your DataOps Instructor

Rajesh Kumar is our a DataOps Trainer and Coach. Rajesh has more than 18 years of research, software engineering, data analytics & executive management experience. Rajesh is a recognized expert on DataOps, speaking about DataOps at various industry conferences. His Linkedin Profile is – https://www.linkedin.com/in/rajeshkumarin/

DataOps Training Course Agenda

DataOps Concept and Foundation

• The Problem with Datascience
• The knowledge Gap
• Lack of Support
• Challenges of of Data Analytics

Agile Collaboration for DataOps

• DataOps Manifesto
• DataOps Principles
• Data Science Life-Cycle

DevOps for DataOps

• Development and Operations
• Fast Flow from Continous Delivery
• Reproducible Environments
• Deployment Pipelines
• Continous Integration
• Automated Testing

Deployment and Release Processes

• Self-Service Deployments
• Release Processes
• DevOps Measurements
• Review Processes
• DevOps for Data Analytics
• The Data Conflict
• Data Pipeline Environments
• Data Pipeline Orchestration
• Data Pipeline Continous Integration

DataOps Technology

• Tools based on DataOps Values and Principles
• DataOps Technology Ecosystem
• The Assembly Line
• Data Integration
• Data Preparation
• Stream Processing
• Data Management
• Reproducibility, Deployment, Orchestration, and Monitoring
• Compute Infrastructure and Query Execution Engines
• Data Storage
• DataOps Platforms
• Data Analytics Tools

DataOps Tools Training

• Models & Architecture – DataOps Concept and Foundation
• Platform – Operating Systems – Centos/Ubuntu & VirtualBox & Vagrant
• Platform – Cloud – AWS
• Platform – Containers – Docker
• Planning and Designing – Jira & Confulence
• Programming Language – Python
• Source Code Versioning – Git using Github
• Container Orchestration – Kubernetes & Helm Introduction
• Database – Mysql
• Database – postgresql
• Data Analystics Engine – Apache Spark
• Reporting – Grafana
• ETL Tools – Apache Kafka
• Bigdata – Apache Hadoop
• DataOps Integration – Jenkins
• Big Data Tools for Visualization – Microsoft PowerBI
• Big Data Tools for Visualization – Tableau