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Overview This comprehensive course on CompTIA Network (N10-007) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA Network (N10-007) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this CompTIA Network (N10-007). It is available to all students, of all academic backgrounds. Requirements Our CompTIA Network (N10-007) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 22 sections • 172 lectures • 22:43:00 total length •Introduction: 00:03:00 •What is a Model?: 00:02:00 •OSI vs. TCP/IP Model: 00:07:00 •Walking Through OSI and TCP/IP: 00:12:00 •Meet the Frame: 00:06:00 •The MAC Address: 00:07:00 •Broadcast vs. Unicast: 00:04:00 •Introduction to IP Addressing: 00:08:00 •Packets and Ports: 00:05:00 •Network Topologies: 00:10:00 •Coaxial Cabling: 00:05:00 •Twisted Pair Cabling: 00:06:00 •Cat Ratings: 00:06:00 •Fiber Optic Cabling: 00:09:00 •Fire Ratings: 00:05:00 •Legacy Network Connections: 00:07:00 •What is Ethernet?: 00:07:00 •Ethernet Frames: 00:07:00 •Early Ethernet: 00:08:00 •The Daddy of Ethernet, 10BaseT: 00:03:00 •Terminating Twisted Pair: 00:14:00 •Hubs vs. Switches: 00:13:00 •100BaseT: 00:05:00 •Connecting Switches: 00:05:00 •Gigabit Ethernet and 10-Gigabit Ethernet: 00:05:00 •Transceivers: 00:07:00 •Connecting Ethernet Scenarios: 00:14:00 •Introduction to Structured Cabling: 00:04:00 •Terminating Structured Cabling: 00:08:00 •Equipment Room: 00:07:00 •Alternative Distribution Panels: 00:04:00 •Testing Cable: 00:09:00 •Troubleshooting Structured Cabling, Part 1: 00:05:00 •Troubleshooting Structured Cabling, Part 2: 00:05:00 •Using a Toner and Probe: 00:03:00 •Wired Connection Scenarios: 00:11:00 •Introduction to IP Addressing and Binary: 00:13:00 •Introduction to ARP: 00:04:00 •Classful Addressing: 00:10:00 •Subnet Masks: 00:12:00 •Subnetting with CIDR: 00:10:00 •More CIDR Subnetting Practice: 00:10:00 •Dynamic and Static IP Addressing: 00:18:00 •Rogue DHCP Servers: 00:07:00 •Special IP Addresses: 00:07:00 •IP Addressing Scenarios: 00:15:00 •Introducing Routers: 00:15:00 •Understanding Ports: 00:05:00 •Network Address Translation: 00:06:00 •Implementing NAT: 00:03:00 •Forwarding Ports: 00:18:00 •Tour of a SOHO Router: 00:12:00 •SOHO vs. Enterprise: 00:09:00 •Static Routes: 00:13:00 •Dynamic Routing: 00:11:00 •RIP: 00:04:00 •OSPF: 00:04:00 •BGP: 00:06:00 •TCP and UDP: 00:07:00 •ICMP and IGMP: 00:06:00 •Handy Tools: 00:07:00 •Introduction to Wireshark: 00:11:00 •Introduction to netstat: 00:09:00 •Web Servers: 00:12:00 •FTP: 00:12:00 •E-mail Servers and Clients: 00:09:00 •Securing E-mail: 00:06:00 •Telnet and SSH: 00:09:00 •Network Time Protocol: 00:02:00 •Network Service Scenarios: 00:10:00 •Understanding DNS: 00:12:00 •Applying DNS: 00:19:00 •The Hosts File: 00:04:00 •Net Command: 00:08:00 •Windows Name Resolution: 00:11:00 •Dynamic DNS: 00:05:00 •DNS Troubleshooting: 00:13:00 •Making TCP/IP Secure: 00:04:00 •Symmetric Encryption: 00:06:00 •Asymmetric Encryption: 00:03:00 •Cryptographic Hashes: 00:05:00 •Identification: 00:00:00 •Access Control: 00:04:00 •AAA: 00:05:00 •Kerberos/EAP: 00:00:00 •Single Sign-On: 00:10:00 •Certificates and Trust: 00:14:00 •Certificate Error Scenarios: 00:08:00 •Understanding IP Tunneling: 00:06:00 •Virtual Private Networks: 00:13:00 •Introduction to VLANs: 00:12:00 •InterVLAN Routing: 00:03:00 •Interfacing with Managed Switches: 00:11:00 •Switch Port Protection: 00:07:00 •Port Bonding: 00:07:00 •Port Mirroring: 00:04:00 •Quality of Service: 00:05:00 •IDS vs. IPS: 00:04:00 •Proxy Servers: 00:13:00 •Load Balancing: 00:09:00 •Device Placement Scenarios: 00:13:00 •Introduction to IPv6: 00:13:00 •IPv6 Addressing: 00:15:00 •IPv6 in Action: 00:13:00 •IPv4 and IPv6 Tunneling: 00:05:00 •Telephony Technologies: 00:09:00 •Optical Carriers: 00:03:00 •Packet Switching: 00:05:00 •Connecting with Dial-up: 00:05:00 •Digital Subscriber Line (DSL): 00:05:00 •Connecting with Cable Modems: 00:04:00 •Connecting with Satellites: 00:03:00 •ISDN and BPL: 00:04:00 •Remote Desktop Connectivity: 00:05:00 •Advanced Remote Control Systems: 00:09:00 •Introduction to 802.11: 00:12:00 •802.11 Standards: 00:12:00 •Power over Ethernet (PoE): 00:04:00 •Antennas: 00:09:00 •Wireless Security Standards: 00:16:00 •Implementing Wireless Security: 00:07:00 •Threats to Your Wireless Network: 00:07:00 •Retro Threats: 00:05:00 •Wi-Fi Protected Setup (WPS): 00:05:00 •Enterprise Wireless: 00:06:00 •Installing a Wireless Network: 00:15:00 •Wireless Scenarios: 00:07:00 •More Wireless Scenarios: 00:09:00 •Virtualization Basics: 00:07:00 •Cloud Ownership: 00:03:00 •Cloud Implementation: 00:12:00 •Your First Virtual Machine: 00:09:00 •NAS and SAN: 00:16:00 •Platform as a Service (PaaS): 00:09:00 •Software as a Service (SaaS): 00:03:00 •Infrastructure as a Service (IaaS): 00:10:00 •Cellular Technologies: 00:05:00 •Mobile Connectivity: 00:07:00 •Deploying Mobile Devices: 00:05:00 •Mobile Access Control: 00:06:00 •Network Types: 00:04:00 •Network Design: 00:10:00 •Power Management: 00:06:00 •Unified Communications: 00:11:00 •Network Documentation: 00:07:00 •Contingency Planning: 00:10:00 •Predicting Hardware Failure: 00:05:00 •Backups: 00:08:00 •What is Risk Management?: 00:06:00 •Security Policies: 00:08:00 •Change Management: 00:07:00 •User Training: 00:03:00 •Standard Business Documentation: 00:05:00 •Mitigating Network Threats: 00:05:00 •High Availability: 00:05:00 •Denial of Service: 00:09:00 •Malware: 00:10:00 •Social Engineering: 00:04:00 •Access Control: 00:08:00 •Man-in-the-Middle: 00:22:00 •Introduction to Firewalls: 00:05:00 •Firewalls: 00:10:00 •DMZ: 00:06:00 •Hardening Devices: 00:14:00 •Physical Security Controls: 00:09:00 •Testing Network Security: 00:08:00 •Network Protection Scenarios: 00:14:00 •SNMP: 00:15:00 •Documenting Logs: 00:09:00 •System Monitoring: 00:08:00 •SIEM (Security Information and Event Management): 00:07:00 •Network Troubleshooting Theory: 00:05:00
Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00
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Executive Strategy & Management is one of our best selling and most popular course. This course is suitable for anyone aspiring to or already working in Project Management and looks at skills needed to improve in relevant industry or Project Management. By taking this course you will gain the necessary skills to perform effectively in this field. The Executive Strategy & Management is organised into 7 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 2 Hours, 31 Minutes! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £69.00. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an endorsed lesson. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. 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Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. 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Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Functional Skills - IT course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Individuals seeking to enhance their basic IT knowledge and skills. Students preparing for further education in information technology. Professionals aiming to transition into IT-related roles. Job seekers looking to improve their employability in tech sectors. Anyone interested in understanding modern IT systems and practices. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Functional Skills - IT course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path IT Support Technician: £18K to £35K/year. Network Administrator: £25K to £40K./year Systems Analyst: £28K to £62K/year. IT Manager: £45k to £90k/year. Cyber Security Analyst: £35k to £60k/year. Course Curriculum Section 1: Introduction Unit 1: Introduction 00:01:00 Unit 2: Course Outline 00:06:00 Section 2: Information Technology Unit 1: Facts about Information Technology (IT) 00:05:00 Unit 2: What is Information Technology & How IT Works 00:02:00 Section 3: Components of IT Unit 1: IT Components 00:02:00 Section 4: Hardware Unit 1: What is Hardware 00:02:00 Unit 2: Examples of Computer 00:02:00 Unit 3: Computer Hardware Manufacturers 00:04:00 Unit 4: Hardware Jobs 00:05:00 Section 5: Operating System Unit 1: What is Operating System 00:02:00 Unit 2: Examples of Operating System 00:08:00 Unit 3: Operating System Jobs 00:10:00 Unit 4: OS Tools Related Jobs 00:02:00 Section 6: Application/Software Unit 1: What is Application/Software 00:03:00 Unit 2: Software Building Tools and Languages 00:03:00 Unit 3: Software/Application Building Jobs 00:03:00 Unit 4: Software/Application User Jobs 00:03:00 Section 7: Networking Unit 1: What is Computer Networking 00:02:00 Unit 2: Computer Network Companies 00:02:00 Unit 3: Network Jobs 00:04:00 Section 8: Security Unit 1: What is Computer Security 00:02:00 Unit 2: Security Companies 00:01:00 Unit 3: Security Jobs 00:03:00 Section 9: Traffic Flow & Enterprise Level IT Components Unit 1: How Information Flow within IT 00:02:00 Unit 2: Enterprise Level IT Components 00:02:00 Section 10: Storage Unit 1: What is Storage 00:05:00 Unit 2: Storage Companies and Technologies 00:02:00 Unit 3: Jobs in Storage 00:02:00 Section 11: Database Unit 1: What is Database 00:02:00 Unit 2: Database Type and Technologies 00:04:00 Unit 3: Database Jobs 00:02:00 Section 12: Virtualisation & Cloud Unit 1: What is Virtualisation 00:03:00 Unit 2: What is Cloud Technology 00:02:00 Unit 3: Virtualisation and Cloud Companies 00:02:00 Unit 4: Virtualisation and Cloud Jobs 00:02:00 Section 13: Management & Other IT Jobs Unit 1: IT Management Jobs 00:03:00 Unit 2: Other IT Jobs 00:09:00