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DATA SCIENCE & MACHINE LEARNING WITH PYTHON

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AI WITH MACHINE & DEEP LEARNING TRAINING
Duration of Course: 60 hrs

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 Test 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

Why enroll for Data Science With ML

Course Benefits

1. Comprehensive Skill Development : These courses provide a comprehensive understanding of the entire data science pipeline, from data collection and preprocessing to modeling,evaluation, and deployment. You’ll gain proficiency in a wide range of tools, techniques, and algorithms used in data analysis and machine learning.
2. In-Demand Skills : Data science and machine learning are among the most sought-after skills in today’s job market. By completing a course in this field, you’ll equip yourself with highly valuable skills that are in high demand across various industries, leading to diverse career opportunities and competitive salaries.
3. Real-World Projects : include hands-on projects and case studies that allow you to apply your skills to real-world problems and datasets. These projects help you build a portfolio of work that demonstrates your practical expertise to potential employers.
4. Career Advancement : Data science and machine learning skills are essential for advancing in many fields, including data analysis, artificial intelligence, business intelligence, and more. By completing this course in this area, you’ll enhance your qualifications and increase your chances of career advancement and promotion.
5. Flexibility and Accessibility : Radical Technologies Data science and machine learning are available online, making them accessible to learners from anywhere in the world. Online courses offer flexibility in terms of scheduling and pacing, allowing you to learn at your own pace while balancing other commitments.
6. Networking Opportunities : Participating in a course in data science and machine learning with Radical Technologies gives you the opportunity to connect with instructors, industry professionals, and fellow learners who share your interests. These connections can provide valuable networking opportunities and may lead to collaborations, mentorship, or job referrals in the future.
7. Continuous Learning : The field of data science and machine learning is constantly evolving, with new techniques, algorithms, and tools emerging regularly. By completing a course with Radical Technologies , you’ll develop a strong foundation of knowledge and skills that you can continue to build upon through self-study, professional development, and advanced courses.
8. Problem-Solving Skills : Data science and machine learning involve solving complex problems using data-driven approaches. By completing a course in this field, you’ll develop critical thinking, problem-solving, and analytical skills that are valuable in many domains and industries.
9. Industry-Relevant Curriculum : Radical Technologies designed this course in collaboration with industry experts and incorporate the latest trends, technologies, and best practices used in the field of data science and machine learning. This ensures that you’re learning relevant skills that are directly applicable to real-world challenges and scenarios.

Designations

Want to become Engineer?

Want to become Engineer?

Want to become Engineer?

Why Redhat Linux?

Industry
Recognition

Red Hat certifications are widely recognized in the IT industry. Holding a Red Hat certification demonstrates to employers that you have the skills and knowledge needed to effectively work with Red Hat Linux systems.

High Demand
for Linux Skills

Linux is a dominant operating system in the server market, particularly in enterprise environments. Many organizations, including tech giants, financial institutions, and government agencies, rely on Linux for their infrastructure. As a result, there is a high demand for professionals with Linux skills, including Red Hat Linux expertise.

Specialized
Knowledge

Red Hat Linux is a popular distribution used in enterprise environments due to its stability, security, and support offerings. By gaining expertise in Red Hat Linux through a certification course, you position yourself as a specialist in this specific distribution, which can make you more attractive to employers who use or plan to use Red Hat Linux.

Job
Opportunities

Holding a Red Hat certification opens up various job opportunities in roles such as Linux system administrator, DevOps engineer, cloud engineer, network engineer, and more. Many job postings in these fields specifically mention Red Hat certifications as desired or required qualifications.

Salary Potential

Professionals with Red Hat certifications often command higher salaries compared to their non-certified counterparts. Employers value certified individuals for their proven skills and expertise, leading to potentially higher earning potential.

Career
Advancement

Red Hat certifications can help you advance your career by providing a clear path for skill development and progression. As you gain more advanced certifications, you become eligible for more senior roles and responsibilities within organizations.

Continuous Learning
and Growth

Pursuing a Red Hat certification involves gaining practical experience and knowledge in Linux system administration, networking, security, and other related areas. This continuous learning process not only prepares you for the certification exams but also equips you with valuable skills that are relevant across various IT roles.

Global Research

Red Hat certifications are recognized globally, allowing you to pursue job opportunities not only in your local market but also in other regions where Red Hat technologies are prevalent. Overall, obtaining a Red Hat Linux certification demonstrates your commitment to professional development, enhances your credibility in the job market, and opens doors to rewarding career opportunities in the field of Linux and IT infrastructure management.

About your Data Science With ML Certification Course

Data Science With ML Skills Covered

  • Comprehensive Skill Development

  • Feature Selection and Engineering

  • Data Visualization

  • Machine Learning Algorithms

  • Communication and Collaboration

  • Deployment and Productionization

  • Statistical Analysis

  • Feature Selection and Engineering

  • Data Wrangling & Preprocessing

  • Domain Knowledge

Curriculum Designed by Experts

Data Science With ML Course Syllabus

Introduction with Artificial Intelligence.
  • What is AI (Artificial Intelligence) ?
  • What types of intelligences we are talking about?
  • Different definitions and Ultimate goal of AI.
  • What are application areas for AI?
  • History of AI and some real life examples of AI.
  • What is ML and How it is related with AI?
  • What is NLP and How it is related with AI?
  • What is DL and How it is related with ML and AI?
  • What are ANNs and DNNs and How are they related to AI?
A working example of AI and ML.
  • Project 1 – These simple tasks are to make you understand how AI and ML can find their applications in real life.
Python libraries for ML.
  • What are Libraries, packages and Modules?
  • What are top Python libraries for ML in Python?
Setting up Anaconda development environment.
  • Why choosing Anaconda development environment?
  • Setting up Anaconda development environment on Windows 10 PC.
  • Verifying proper installation of Anaconda environment.
Audience for this course

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    Get Experience Of 4+ Years

    • Solution for BigData Problem

    • Open Source Technology

    • Based on open source platforms

    • Contains several tool for entire ETL data processing Framework

    • It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.

    • Solution for BigData Problem

    • Open Source Technology

    • Based on open source platforms

    • Contains several tool for entire ETL data processing Framework

    • It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.

    • Solution for BigData Problem

    • Open Source Technology

    • Based on open source platforms

    • Contains several tool for entire ETL data processing Framework

    • It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.

    Power BI Certification Course Details

    Introduction to Power BI

    Intermediate to Advanced Topics

    -Configuring Unisphere security and notifications
    -Provision and manage VNX block-level storage
    -Configure and manage VNX storage features such as LUN migration and expansion, FAST VP, FAST Cache, and deduplication
    -Configure and manage

    -Configuring Unisphere security and notifications
    -Provision and manage VNX block-level storage
    -Configure and manage VNX storage features such as LUN migration and expansion, FAST VP, FAST Cache, and deduplication
    -Configure and manage

    -Configuring Unisphere security and notifications
    -Provision and manage VNX block-level storage
    -Configure and manage VNX storage features such as LUN migration and expansion, FAST VP, FAST Cache, and deduplication
    -Configure and manage

    -Configuring Unisphere security and notifications
    -Provision and manage VNX block-level storage

    VNX Block local replication solutions–SnapView, VNX

    Power BI Desktop and Data Transformation

    Intermediate to Advanced Topics

     

    -Configuring Unisphere security and notifications
    -Provision and manage VNX block-level storage
    -Configure and manage VNX storage features such as LUN migration and expansion, FAST VP, FAST Cache, and deduplication

    -Configure and manage VNX Block local replication solutions–SnapView, VNX


    Snapshots, SnapSure

     

    -Configure VNX File storage services for Linux/Unix/ESXi environments via NFS, and Windows environments via CIFS
    -Manage and monitor file systems, Virtual Data Movers, and Usermapper Configure and manage VNX File local replication solutions with VNX SnapSure

     

    Introduction to VNX Management Unisphere Security and Basic Management

    • Unisphere GUI and CLI Interface
    • Unisphere Security Features
    • Notifications and Event Monitoring
    • Unisphere Storage Domains
    • Storage System Configuration
      SP Networking and Cache Settings

     

    Host Integration to Block Storage

    • Storage Networking Topologies and Requirements
    • Storage Networking with Fibre Channel and iSCSI
    • Host Registration and Storage Architecture
    • Configure Storage

     

    Managing Block Host Connectivity

    • Data Path Management
    • Managing Block Host Connectivity
    • VNX and VMware API Integration Advanced Storage Features
    • LUN Migration and LUN Expansion
    • FAST VP and FAST Cache
    • Block Space Efficiency Features
    • Data-At-Rest Encryption (D@RE)

     

    Local Replication for Block

    • SnapView Snapshots and SnapView Clones ▬ Managing VNX Snapshots
    • Introduction to VNX File
    • Basic IP Networking Configuration for VNX File

     

    Configuration of VNX File Systems – NFS and CIFS

     

    VNX File Content and Space Efficiency Features

    • File System Quotas
    • File Level Retention and File Deduplication

    VNX File Configuration


    Thin LUN File System  Networking Features

     

    Networking Features Overview and Configuration ▬ Complex Examples and Considerations


    VNX SnapSure

    • Writable Checkpoints
    • Configuring SnapSure
    • Planning SnapSure and Managing Checkpoints  Data Mover Failover
    • Data Mover Failover Operations
    • Testing Data Mover Failover and Failback

    In addition to lecture and demonstrations, this course includes labs designed to allow practical experience for the participant.

    Power BI Desktop and Data Transformation

    Intermediate to Advanced Topics

     

    -Configuring Unisphere security and notifications
    -Provision and manage VNX block-level storage
    -Configure and manage VNX storage features such as LUN migration and expansion, FAST VP, FAST Cache, and deduplication

    -Configure and manage VNX Block local replication solutions–SnapView, VNX


    Snapshots, SnapSure

     

    -Configure VNX File storage services for Linux/Unix/ESXi environments via NFS, and Windows environments via CIFS
    -Manage and monitor file systems, Virtual Data Movers, and Usermapper Configure and manage VNX File local replication solutions with VNX SnapSure

     

    Introduction to VNX Management Unisphere Security and Basic Management

    • Unisphere GUI and CLI Interface
    • Unisphere Security Features
    • Notifications and Event Monitoring
    • Unisphere Storage Domains
    • Storage System Configuration
      SP Networking and Cache Settings

     

    Host Integration to Block Storage

    • Storage Networking Topologies and Requirements
    • Storage Networking with Fibre Channel and iSCSI
    • Host Registration and Storage Architecture
    • Configure Storage

     

    Managing Block Host Connectivity

    • Data Path Management
    • Managing Block Host Connectivity
    • VNX and VMware API Integration Advanced Storage Features
    • LUN Migration and LUN Expansion
    • FAST VP and FAST Cache
    • Block Space Efficiency Features
    • Data-At-Rest Encryption (D@RE)

     

    Local Replication for Block

    • SnapView Snapshots and SnapView Clones ▬ Managing VNX Snapshots
    • Introduction to VNX File
    • Basic IP Networking Configuration for VNX File

     

    Configuration of VNX File Systems – NFS and CIFS

     

    VNX File Content and Space Efficiency Features

    • File System Quotas
    • File Level Retention and File Deduplication

    VNX File Configuration


    Thin LUN File System  Networking Features

     

    Networking Features Overview and Configuration ▬ Complex Examples and Considerations


    VNX SnapSure

    • Writable Checkpoints
    • Configuring SnapSure
    • Planning SnapSure and Managing Checkpoints  Data Mover Failover
    • Data Mover Failover Operations
    • Testing Data Mover Failover and Failback

    In addition to lecture and demonstrations, this course includes labs designed to allow practical experience for the participant.

    Power BI Desktop and Data Transformation

    Intermediate to Advanced Topics

     

    -Configuring Unisphere security and notifications
    -Provision and manage VNX block-level storage
    -Configure and manage VNX storage features such as LUN migration and expansion, FAST VP, FAST Cache, and deduplication

    -Configure and manage VNX Block local replication solutions–SnapView, VNX


    Snapshots, SnapSure

     

    -Configure VNX File storage services for Linux/Unix/ESXi environments via NFS, and Windows environments via CIFS
    -Manage and monitor file systems, Virtual Data Movers, and Usermapper Configure and manage VNX File local replication solutions with VNX SnapSure

     

    Introduction to VNX Management Unisphere Security and Basic Management

    • Unisphere GUI and CLI Interface
    • Unisphere Security Features
    • Notifications and Event Monitoring
    • Unisphere Storage Domains
    • Storage System Configuration
      SP Networking and Cache Settings

     

    Host Integration to Block Storage

    • Storage Networking Topologies and Requirements
    • Storage Networking with Fibre Channel and iSCSI
    • Host Registration and Storage Architecture
    • Configure Storage

     

    Managing Block Host Connectivity

    • Data Path Management
    • Managing Block Host Connectivity
    • VNX and VMware API Integration Advanced Storage Features
    • LUN Migration and LUN Expansion
    • FAST VP and FAST Cache
    • Block Space Efficiency Features
    • Data-At-Rest Encryption (D@RE)

     

    Local Replication for Block

    • SnapView Snapshots and SnapView Clones ▬ Managing VNX Snapshots
    • Introduction to VNX File
    • Basic IP Networking Configuration for VNX File

     

    Configuration of VNX File Systems – NFS and CIFS

     

    VNX File Content and Space Efficiency Features

    • File System Quotas
    • File Level Retention and File Deduplication

    VNX File Configuration


    Thin LUN File System  Networking Features

     

    Networking Features Overview and Configuration ▬ Complex Examples and Considerations


    VNX SnapSure

    • Writable Checkpoints
    • Configuring SnapSure
    • Planning SnapSure and Managing Checkpoints  Data Mover Failover
    • Data Mover Failover Operations
    • Testing Data Mover Failover and Failback

    In addition to lecture and demonstrations, this course includes labs designed to allow practical experience for the participant.

    Power BI Desktop and Data Transformation

    Intermediate to Advanced Topics

     

    -Configuring Unisphere security and notifications
    -Provision and manage VNX block-level storage
    -Configure and manage VNX storage features such as LUN migration and expansion, FAST VP, FAST Cache, and deduplication

    -Configure and manage VNX Block local replication solutions–SnapView, VNX


    Snapshots, SnapSure

     

    -Configure VNX File storage services for Linux/Unix/ESXi environments via NFS, and Windows environments via CIFS
    -Manage and monitor file systems, Virtual Data Movers, and Usermapper Configure and manage VNX File local replication solutions with VNX SnapSure

     

    Introduction to VNX Management Unisphere Security and Basic Management

    • Unisphere GUI and CLI Interface
    • Unisphere Security Features
    • Notifications and Event Monitoring
    • Unisphere Storage Domains
    • Storage System Configuration
      SP Networking and Cache Settings

     

    Host Integration to Block Storage

    • Storage Networking Topologies and Requirements
    • Storage Networking with Fibre Channel and iSCSI
    • Host Registration and Storage Architecture
    • Configure Storage

     

    Managing Block Host Connectivity

    • Data Path Management
    • Managing Block Host Connectivity
    • VNX and VMware API Integration Advanced Storage Features
    • LUN Migration and LUN Expansion
    • FAST VP and FAST Cache
    • Block Space Efficiency Features
    • Data-At-Rest Encryption (D@RE)

     

    Local Replication for Block

    • SnapView Snapshots and SnapView Clones ▬ Managing VNX Snapshots
    • Introduction to VNX File
    • Basic IP Networking Configuration for VNX File

     

    Configuration of VNX File Systems – NFS and CIFS

     

    VNX File Content and Space Efficiency Features

    • File System Quotas
    • File Level Retention and File Deduplication

    VNX File Configuration


    Thin LUN File System  Networking Features

     

    Networking Features Overview and Configuration ▬ Complex Examples and Considerations


    VNX SnapSure

    • Writable Checkpoints
    • Configuring SnapSure
    • Planning SnapSure and Managing Checkpoints  Data Mover Failover
    • Data Mover Failover Operations
    • Testing Data Mover Failover and Failback

    In addition to lecture and demonstrations, this course includes labs designed to allow practical experience for the participant.

    Global Certification

    ◦ The RHCSA certification for RHEL 9 would validate the skills required to perform core system administration tasks in RHEL 9 environments. It would cover topics such as system configuration, file system management, user and group administration, basic networking, and security.

    ◦ The RHCE certification for RHEL 9 would build upon the skills tested in RHCSA and validate the ability to manage more advanced system administration tasks and services in RHEL 9 environments. It would include topics such as system security, advanced storage management, network services, automation, and troubleshooting.

    ◦ The RHCA certification for RHEL 9 would be the highest level of certification offered by Red Hat and would demonstrate expertise in designing and managing complex enterprise solutions using RHEL 9 technologies. It would consist of multiple specialized certifications covering areas such as DevOps, cloud computing, virtualization, containerization, automation, and more.

    Power BI Course Projects in Seattle

    Industry: Retail Sector

    Microsoft Power BI Course in Seattle will equip you with the power of BI specifically Power BI Desktop and how it could be used alongside Power Pivot to assist in Data Modelling. This course will teach you the fundamentals of Data Analysis Expressions (DAX) and Data Visualization with Power BI Desktop, Power View, and Power Map.

    Industry: Retail Sector

    Microsoft Power BI Course in Seattle will equip you with the power of BI specifically Power BI Desktop and how it could be used alongside Power Pivot to assist in Data Modelling. This course will teach you the fundamentals of Data Analysis Expressions (DAX) and Data Visualization with Power BI Desktop, Power View, and Power Map.

    Microsoft Power BI Certification Course reviews

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    James Logan

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    Mark Stive

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    James Logan

    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