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Join our intensive Python for Data Science training in Kochi! Learn essential Python programming skills and advanced data manipulation techniques. Gain hands-on experience with popular data science libraries like NumPy, Pandas, and Matplotlib. Explore data visualization, statistical analysis, and machine learning concepts. Our expert instructors will guide you through practical projects and real-world applications. Kickstart your career in data science today with our comprehensive training program in Kochi!
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Why Radical Technologies
Live Online Training
Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Live Classroom Training
Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Self Paced Training
Self Paced Learning
Learn 300+ Courses at Your Own Time
50000+ Satisfied Learners
Course Completion Certificate
Practical Labs Available
Mentor Support Available
Doubt Clearing Session Available
Attend Our Virtual Job Fair
10% Discounted Global Certification
Course completion certificate and Global Certifications are part of our all Master Program
Live Online Training
Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Live Classroom Training
Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Self Test Training
300+ Technologies - Learn at your Convenience
4500+ High Quality Videos
Self Paced Training By Experts
Self Paced Hands-On Practical LABS
Cloud Sand Boxes
Do Projects and Assignments with Live LABS
100+ Exam Simulators & Discounted Vouchers
Live Mentor Support - By 10+ Years Experts
Course completion certificate and Global Certifications are part of our all Master Program
Overview
Why enroll Redhat Linux
Why enroll for LINUX RHEL 8 course ?
Course Benefits
Duration of Training : 60 hrs
Batch type : weekdays /weekends/ Customized Batches
Mode of Training: Offline / Online / Corporate Training
Projects Given : 2 Projects minimum
Trainer Profile : Experienced Faculty from IT Industry
Projects | Assignment | Scenarios and Used Case Studies
Designations
Want to become Engineer?
Want to become Engineer?
Want to become Engineer?
WhyTerraform ?
Multi-Cloud Support
Terraform supports multiple cloud providers, including AWS, Azure, Google Cloud Platform (GCP), and others. This allows you to use a single tool and consistent workflow across different cloud environments, enabling hybrid and multi-cloud deployments.
Declarative Configuration
Terraform uses a declarative language to define infrastructure configurations. This means you specify the desired state of your infrastructure, and Terraform handles the provisioning and management to achieve that state. This approach is intuitive and allows for easier understanding and maintenance of infrastructure code.
Resource Graph
Terraform builds a dependency graph of your infrastructure resources based on their relationships and dependencies. This enables Terraform to determine the correct order of resource provisioning and manage complex infrastructures with ease.
Modularity and Reusability
Terraform encourages modularization and code reuse through the use of modules. Modules are self-contained units of Terraform configurations that can be reused across projects, teams, and environments. This promotes consistency, reduces duplication, and speeds up development.
State Management
Terraform maintains a state file that tracks the current state of your infrastructure. This state file is used to plan and apply changes, track resource attributes, and manage updates. Terraform's state management ensures consistency and facilitates collaboration among team members.
Plan and Apply Workflow
Terraform follows a plan and apply workflow, where changes to infrastructure are first planned and previewed before being applied. This allows you to review the proposed changes, identify potential issues, and apply changes safely, minimizing the risk of unintended consequences.
Extensibility
Terraform is highly extensible and integrates with a wide range of third-party tools and services. This includes integrations with configuration management tools, CI/CD pipelines, monitoring solutions, and more, allowing you to build comprehensive infrastructure automation workflows. While other IaC tools offer similar capabilities, Terraform's multi-cloud support, declarative configuration, resource graph, modularity, state management, workflow, and extensibility make it a popular choice for infrastructure automation in diverse environments. Additionally, Terraform's active community, robust documentation, and frequent updates contribute to its widespread adoption and continued development.
About your Terraform Certification Course
Terraform Skills Covered
Curriculum Designed by Experts
Python for Data Science Course Syllabus
1: Introduction / 2: Variables & Data Types
1: Introduction
What is Python..?
A Brief history of Python
Why Should I learn Python..?
Installing Python
How to execute Python program
Write your first program
2: Variables & Data Types
Variables
Numbers
String
Lists ,Tuples & Dictionary
3: Conditional Statements & Loops / 4: Control Statements
3: Conditional Statements & Loops
if…statement
if…else statement
elif…statement
The while…Loop
The for….Loop
4: Control Statements
continue statement
break statement
pass statement
5: Functions / 6: Modules & Packages
5: Functions
Define function
Calling a function
Function arguments
Built-in function
6: Modules & Packages
Modules
How to import a module…?
Packages
How to create packages
7: Classes & Objects / 8: Files & Exception Handling
7: Classes & Objects
Introduction about classes & objects
Creating a class & object
Inheritance
Methods Overriding
Data hiding
8: Files & Exception Handling
Writing data to a file
Reading data from a file
Read and Write data from csv file
try…except
try…except…else
finally
os module
Module 2:Introduction to Machine learning(ML) / Module 3:NumPy Arrays
Module 2:Introduction to Machine learning(ML)Â
What is Machine learing?
Overview about sci-kit learn and tensorflow
Types of ML
Some complementing fields of ML
ML algorithms
Machine learning examples
Module 3:NumPy Arrays
Creating multidimensional array
NumPy-Data types
Array attributes
Indexing and Slicing
Creating array views and copies
Manipulating array shapes
I/O with NumPy
Module 4:Working with Pandas / Module 5: Python Regular Expressions
Module 4:Working with Pandas
Installing pandas
Pandas dataframes
Pandas Series
Data aggregation with Pandas DataFrames
Concatenating and appending DataFrames
Joining DataFrames
Handling missing data
Module 5: Python Regular Expressions
What are regular expressions?
The match Function
The search Function
Matching vs searching
Search and Replace
Extended Regular Expressions
Wildcard
Module 6:Python Oracle Database Access / Module 7:Web Scraping in Python
Module 6:Python Oracle Database Access
Install the cx_Oracle and other Packages
Create Database Connection
CREATE, INSERT, READ, UPDATE and DELETE Operation
DML and DDL Oepration with Databases
Performing Transactions
Handling Database Errors
Disconnecting Database
Module 7:Web Scraping in Python
Module 8:Regression based learning / Module 9:Clustering based learning
Module 8:Regression based learning
Simple regression
Multiple regression
Logistic regression
Predicting house prices with regression
Module 9:Clustering based learning
Definition
Types of clustering
The k-means clustering algorithm
Module 5:Data mining / Module 6:Classifiation – Sentiment Analysis
Module 5:Data mining
Introducing data mining
Decision Tree
Affiity Analysis
Clustering
Module 6:Classifiation – Sentiment Analysis
Module 7:Natural Language Processing / Module 8:Making Sense of data through Visualization
Module 7:Natural Language Processing
Install nltk
Tokenize words
Tokenizing sentences
Stop words with NLTK
Stemming words with NLTK
Speech tagging
Sentiment analysis with NLTK
Module 8:Making Sense of data through Visualization
Introducing matplotlib
Bar Charts
Line Charts
Scatter plots
Bubble charts
Module 9:Working with openCV / Module 10:Performing predictions with Linear Regression
Module 9:Working with openCV
Setting up opencv
Loading and displaying images
Applying image filters
Tracking faces
Face recognition
Module 10:Performing predictions with Linear Regression
Simple linear regression
Multiple regression
Training and testing model
Projects
| EDA on movies database | Mini |
| House price prediction using Regression | Mini |
| Predict survival on the Titanic using Classification | Mini |
| Image Clustering | Mini |
| Document Clustering | Mini |
| Twitter US Airline Sentiment | Major |
| Restaurant revenue prediction | Major |
| Disease Prediction | Major |
Note: Depends upon Trainers above projects may vary
Free Career Counselling
+91 8882400500
Global Certification
Terraform Course Projects in Seattle
Multi-Cloud
Deployment
Create Terraform configurations to provision identical infrastructure across multiple cloud providers such as AWS, Azure, and Google Cloud Platform. This project will help you understand how to leverage Terraform's multi-cloud support and manage resources in a heterogeneous cloud environment.
Highly Available Web Application
Design and deploy a highly available web application using Terraform. Configure load balancers, auto-scaling groups, database clusters, and other resources to ensure fault tolerance and scalability. Implement infrastructure as code best practices to manage the application's lifecycle.
Infrastructure Governance and Compliance
Implement infrastructure governance and compliance policies using Terraform to enforce security, compliance, and regulatory requirements. Define and enforce policies for resource tagging, access control, encryption, and configuration drift detection.
Container Orchestration with Kubernetes
Set up a Kubernetes cluster on a cloud provider using Terraform. Deploy and manage Kubernetes resources such as pods, services, and ingresses using Terraform configurations. Experiment with different deployment strategies and configurations to gain insights into Kubernetes orchestration.
Infrastructure Monitoring and Logging
Implement infrastructure monitoring and logging using Terraform and cloud-native services such as AWS CloudWatch, Azure Monitor, or Google Cloud Monitoring. Configure alerts, dashboards, and log sinks to monitor resource health, performance, and security.
Disaster Recovery (DR) Setup
Design and deploy a disaster recovery solution using Terraform to replicate infrastructure resources across regions or cloud providers. Configure automated failover mechanisms, data replication, and backup strategies to ensure business continuity and data resilience.
Microservices Architecture
Build a microservices architecture using Terraform to provision containerized services on a container orchestration platform such as Kubernetes or AWS ECS. Design modular Terraform configurations for each microservice and define service dependencies and communication channels.
Serverless Architecture
Explore serverless computing by using Terraform to provision serverless resources such as AWS Lambda functions, API Gateway endpoints, and DynamoDB tables. Build a serverless application that processes events, triggers functions, and stores data without managing servers or infrastructure.
Hybrid Cloud Deployment
Deploy a hybrid cloud infrastructure using Terraform to bridge on-premises data centers with public cloud environments. Configure hybrid networking, VPN connections, and hybrid cloud management tools to extend your infrastructure seamlessly across cloud and on-premises environments.
Continuous Integration and Delivery (CI/CD) Pipelines
Automate infrastructure deployment using Terraform within CI/CD pipelines. Integrate Terraform with version control systems, build tools, and deployment automation platforms to enable continuous delivery of infrastructure changes with automated testing and validation. These project ideas cover a range of scenarios and use cases that will allow you to apply Terraform's capabilities effectively and gain practical experience in infrastructure automation and management. Tailor these projects to your interests, expertise, and learning objectives to maximize their educational value.
Get Experience Of 4+ Years
Veritas Cluster Server 6.0/6.1 Certification Course reviews
I had undergone oracle DBA course under Chetan sir's Guidance an it was a very good learning experience overall since they not only provide us with theoretical knowledge but also conduct lot of practical sessions which are really fruitful and also the way of teaching is very fine clear and crisp which is easier to understand, overall I had a great time for around 2 months, they really train you well.also make it a point to clear all your doubts and provide you with clear and in-depth concepts hence hope to join sometime again
Reema banerjee
I have completed Oracle DBA 11g from Radical technology pune. Excellent trainer (chetna gupta). The trainer kept the energy level up and kept us interested throughout. Very practical, hands on experience. Gave us real-time examples, excellent tips and hints. It was a great experience with Radical technologies.
Mrudul Bhokare
Linux learning with Anand sir is truly different experience... I don't have any idea about Linux and system but Anand sir taught with scratch...He has a great knowledge and the best trainer...he can solve all your queries related to Linux in very simple way and giving nice examples... 100 to Anand Sir.
Harsh Singh Parihar
I had a wonderful experience in Radical technologies where i did training in Hadoop development under the guidance of Shanit Sir. He started from the very basic and covered and shared everything he knew in this field. He was brilliant and had a lot of experience in this field. We did hands on for every topic we covered, and that's the most important thing because honestly theoretical knowledge cannot land you a job.
Rohit Agrawal
I have recently completed Linux course under Anand Sir and can assuredly say that it is definitely the best Linux course in Pune. Since most of the Linux courses from other sources are strictly focused on clearing the certification, they will not provide an insight into real-world server administration, but that is not the case with Anand Sir's course. Anand Sir being an experienced IT infrastructure professional has an excellent understanding of how a data center works and all these information is seamlessly integrated into his classes.
Manu Sunil
Redhat Linux System Administration - Roles and Responsibilities
L1 Tasks
1. Basic user account management (creating, modifying, and deleting users).
2. Password resets and account unlocks.
3. Basic file system navigation and management (creating, deleting, and modifying files and directories).
4. Basic troubleshooting of network connectivity issues.
5. Basic software installation and package management (installing and updating software packages).
6. Viewing system logs and checking for errors or warnings.
7. Running basic system health checks (CPU, memory, disk space).
8. Restarting services or daemons.
9. Monitoring system performance using basic tools (top, df, free).
10. Running basic commands to gather system information (uname, hostname, ifconfig).
L2 Tasks
1. Intermediate user account management (setting permissions, managing groups).
2. Configuring network interfaces and troubleshooting network connectivity issues.
3. Managing file system permissions and access control lists (ACLs).
4. Performing backups and restores of files and directories.
5. Installing and configuring system monitoring tools (Nagios, Zabbix).
6. Analyzing system logs for troubleshooting purposes.
7. Configuring and managing software repositories.
8. Configuring and managing system services (systemd, init.d).
9. Performing system updates and patch management.
10. Monitoring and managing system resources (CPU, memory, disk I/O).
L3 Tasks
1. Advanced user account management (LDAP integration, single sign-on).
2. Configuring and managing network services (DNS, DHCP, LDAP).
3. Configuring and managing storage solutions (RAID, LVM, NFS).
4. Implementing and managing security policies (firewall rules, SELinux).
5. Implementing and managing system backups and disaster recovery plans.
6. Configuring and managing virtualization platforms (KVM, VMware).
7. Performance tuning and optimization of system resources.
8. Implementing and managing high availability solutions (clustering, load balancing).
9. Automating system administration tasks using scripting (Bash, Python).
10. Managing system configurations using configuration management tools (Ansible, Puppet).
L1-L2 Transition Tasks
1. Learning basic shell scripting for automation tasks. 2. Understanding file system permissions and ownership. 3. Learning basic networking concepts (IP addressing, routing). 4. Learning how to use package management tools effectively. 5. Familiarizing with common Linux commands and utilities. 6. Understanding basic system architecture and components. 7. Learning basic troubleshooting techniques and methodologies. 8. Familiarizing with basic security principles and best practices. 9. Learning how to interpret system logs and diagnostic output. 10. Understanding the role and importance of system backups and restores.
L2-L3 Transition Tasks
1. Advanced scripting and automation techniques (error handling, loops).
2. Understanding advanced networking concepts (VLANs, subnetting).
3. Familiarizing with advanced storage technologies (SAN, NAS).
4. Learning advanced security concepts and techniques (encryption, PKI).
5. Understanding advanced system performance tuning techniques.
6. Learning advanced troubleshooting methodologies (root cause analysis).
7. Implementing and managing virtualization and cloud technologies.
8. Configuring and managing advanced network services (VPN, IDS/IPS).
9. Implementing and managing containerization technologies (Docker, Kubernetes).
10. Understanding enterprise-level IT governance and compliance requirements.
L3 Tasks and Beyond
1. Designing and implementing complex IT infrastructure solutions. 2. Architecting and implementing highly available and scalable systems. 3. Developing and implementing disaster recovery and business continuity plans. 4. Conducting security audits and vulnerability assessments. 5. Implementing and managing advanced monitoring and alerting systems. 6. Developing custom automation solutions tailored to specific business needs. 7. Providing leadership and mentorship to junior team members. 8. Collaborating with other IT teams on cross-functional projects. 9. Evaluating new technologies and making recommendations for adoption. 10. Participating in industry conferences, workshops, and training programs.
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