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Overview Having a foundational understanding of IT components is essential. Did you know that by 2023, an estimated 2.5 million new IT positions will be available globally? The CompTIA A+ (220-1001) course offers a comprehensive dive into the world of computer technology.  Designed to shape the professionals of tomorrow, this course meticulously covers the gamut of fundamental IT knowledge. Ranging from RAM technology to the vast world of cloud computing, the curriculum is structured to foster a comprehensive understanding. With modules such as 'Inside the PC' and 'Understanding Virtualization', learners will be adept at navigating the complex terrains of the modern IT environment. Ready to steer your career into the future of IT? Enrol now and become a part of the technological revolution! 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 A+ (220-1001). It is available to all students, of all academic backgrounds. Requirements Our CompTIA A+ (220-1001) 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 24 sections • 132 lectures • 17:30:00 total length •CompTIA A+ 2019 Core 1 (220-1001) Course Introduction: 00:02:00 •What is the CompTIA A+?: 00:02:00 •Why Get A+ Certified?: 00:03:00 •What is on the CompTIA A+ Core 1 (220-1001) Exam?: 00:09:00 •How to Pass the A+ Exam: 00:04:00 •How to Use This Video Course: 00:03:00 •Tools of the Trade: 00:06:00 •Troubleshooting Theory: 00:10:00 •Primary PC Connections: 00:05:00 •External Connections: 00:11:00 •Inside the PC: 00:08:00 •What is a Computer?: 00:07:00 •What is a CPU?: 00:15:00 •CPU Speeds and Cores: 00:12:00 •Caching: 00:07:00 •CPU Sockets: 00:12:00 •Installing a CPU: 00:11:00 •Liquid Cooling: 00:04:00 •RAM Technology: 00:11:00 •RAM Capacity: 00:08:00 •RAM Features: 00:07:00 •Installing RAM: 00:07:00 •What is the BIOS?: 00:06:00 •POST: 00:09:00 •System Setup: 00:09:00 •Troubleshooting Firmware: 00:12:00 •Form Factors: 00:06:00 •Chipsets: 00:05:00 •Touring the Motherboard: 00:14:00 •Touring the Case: 00:07:00 •Installing a Motherboard: 00:09:00 •The Power Supply: 00:09:00 •Mounting a Power Supply: 00:05:00 •Choosing a Power Supply: 00:08:00 •Cooling Your PC: 00:11:00 •Troubleshooting Power Supplies: 00:09:00 •Troubleshooting Core Components: 00:14:00 •Introduction to Mass Storage: 00:13:00 •Magnetic Disk Drives: 00:08:00 •Solid State Drives: 00:08:00 •SCSI: 00:03:00 •Boot Order: 00:07:00 •New Installation - First Drive: 00:05:00 •RAID: 00:11:00 •Hardware RAID: 00:07:00 •Mass Storage Troubleshooting: 00:08:00 •Optical Media: 00:10:00 •USB Standards: 00:10:00 •Understanding USB: 00:11:00 •Configuring USB: 00:07:00 •Thunder and Lightning: 00:06:00 •Keyboards and Mice: 00:08:00 •Sight and Sound: 00:07:00 •Readers and Scanners: 00:08:00 •Using Expansion Cards: 00:08:00 •The Right PC for the Job: 00:13:00 •Monitor Technologies: 00:08:00 •LCD Breakdown: 00:04:00 •Graphics Cards and Connections: 00:13:00 •Installing a Graphics Card: 00:07:00 •Projectors: 00:05:00 •Troubleshooting Monitors: 00:06:00 •Introduction to Networking: 00:08:00 •Hubs vs. Switches: 00:05:00 •Hexadecimal: 00:07:00 •WANs and Routers: 00:09:00 •Cables and Connectors: 00:11:00 •Crimping Cables: 00:10:00 •Structured Cabling: 00:11:00 •Introduction to TCP/IP: 00:14:00 •Network IDs and Subnet Masks: 00:05:00 •Special IP Addresses: 00:09:00 •NAT: 00:07:00 •Dynamic IP Addressing: 00:10:00 •IPv6: 00:07:00 •Port Numbers: 00:12:00 •TCP, UDP, and ICMP: 00:06:00 •Understanding DNS: 00:09:00 •Working with DNS: 00:07:00 •Windows Naming: 00:08:00 •Routers: 00:12:00 •Basic Router Configuration: 00:12:00 •Advanced Router Configuration: 00:06:00 •VLANs: 00:07:00 •Network Troubleshooting: 00:05:00 •Wireless Network Hardware: 00:11:00 •Wi-Fi Standards: 00:10:00 •Basic WAP Setup: 00:11:00 •Connecting to a Wi-Fi Network: 00:09:00 •It's a Huge Mesh: 00:04:00 •Beyond Wi-Fi: 00:07:00 •Troubleshooting Wireless Connections: 00:07:00 •Beyond the LAN: 00:03:00 •Internet Tiers: 00:06:00 •Dial-up Connections: 00:08:00 •Broadband Connections: 00:10:00 •Firewalls and Servers: 00:06:00 •FTP: 00:07:00 •E-Mail: 00:08:00 •Proxy Servers: 00:06:00 •Virtual Private Networks (VPNs): 00:08:00 •Internet of Things (IoT): 00:04:00 •Understanding Virtualization: 00:10:00 •Your First Virtual Machine: 00:11:00 •Advanced Virtualization Setup: 00:10:00 •Cloud Computing: 00:08:00 •Cloud Ownership: 00:03:00 •Cloud-Based Applications: 00:06:00 •Laptop Features: 00:08:00 •Laptop Hardware Troubleshooting - The Tools: 00:05:00 •Laptop Hardware - Core Hardware: 00:04:00 •Laptop Hardware - CPU and Motherboard: 00:07:00 •Touring Your Laptop Display: 00:04:00 •What is a Mobile Device?: 00:09:00 •Mobile Connections: 00:10:00 •Touring Android: 00:10:00 •Touring iOS: 00:08:00 •Virtual Reality: 00:03:00 •Maintaining Mobile Devices: 00:11:00 •Mobile Devices and E-mail: 00:10:00 •Mobile Synchronization: 00:08:00 •Laser Printers: 00:13:00 •Inkjet Printers: 00:08:00 •Impact Printers: 00:04:00 •Thermal Printers: 00:04:00 •Installing a Local Printer: 00:14:00 •Sharing Printers: 00:08:00 •Installing Wireless and Cloud Printers: 00:10:00 •Troubleshooting Printers: 00:10:00 •3D Printing: 00:07:00 •Dealing with Threats: 00:07:00 •Assignment - CompTIA A+ (220-1001): 00:00:00

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

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Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. 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 Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

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

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Embark on a captivating journey through the art of digital photography with our Adobe Lightroom CC Course. This course isn't just a guide; it's an immersive experience designed to elevate your photography to new heights. Whether you're a novice or a seasoned photographer, our meticulously crafted curriculum in Lightroom Classic CC and Lightroom CC will unravel the secrets of professional photo editing. Delve into the intricacies of Lightroom Classic CC, where you'll master everything from basic edits like cropping and rotating to advanced techniques such as split toning and range masks. Transition seamlessly to Lightroom CC, exploring its intuitive features for web-based photo editing. Our course isn't just about sliders and adjustments; it's about transforming your photos into visual masterpieces that tell compelling stories. Learning Outcomes Navigate the Lightroom Classic CC and Lightroom CC interfaces with confidence. Master essential photo editing techniques, from exposure adjustments to lens corrections. Explore advanced features like graduated and radial adjustments for creative editing. Understand the nuances of portrait editing and night photo enhancement. Export and share your edited photos seamlessly across platforms. Why choose this Adobe Lightroom CC course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Adobe Lightroom CC course for? Photography enthusiasts eager to enhance their editing skills. Beginners looking to navigate the world of photo post-processing. Content creators and social media influencers seeking visually stunning images. Professionals wanting to streamline their photo editing workflow. Anyone with a passion for transforming ordinary photos into extraordinary visual narratives. Career path Freelance Photo Editor: £20,000 - £35,000 Social Media Content Creator: £25,000 - £40,000 Photography Educator: £28,000 - £45,000 Digital Marketing Specialist: £30,000 - £50,000 E-commerce Product Photographer: £22,000 - £38,000 Wedding and Events Photographer: £26,000 - £42,000 Prerequisites This Adobe Lightroom CC does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Adobe Lightroom CC was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Lightroom Classic CC Intro to Lightroom Classic CC 00:05:00 Importing and Organizing in Lightroom Classic CC 00:11:00 Crop and Rotate Lightroom Classic CC 00:05:00 White Balance in Lightroom Classic 00:08:00 Exposure in Lightroom Classic CC 00:06:00 Color and Saturation in Lightroom Classic CC 00:09:00 Sharpening and Noise Reduction in Lightroom Classic CC 00:07:00 Vignettes, Grain and Dehaze in Lightroom Classic CC 00:06:00 Exporting in Lightroom Classic CC 00:10:00 Lens Corrections in Lightroom Classic CC 00:05:00 Split Tone in Lightroom Classic CC 00:05:00 Removing Blemishes With the Heal and Clone Tools in Lightroom Classic CC 00:08:00 Graduated, Radial and Brush Adjustments in Lightroom Classic CC 00:10:00 Adjustment Brush Presets in Lightroom Classic CC 00:03:00 Range Masks in Lightroom Classic CC 00:05:00 Full Edit - Portrait in Lightroom Classic CC 00:19:00 Lightroom CC Intro to Lightroom CC 00:03:00 Import and Organize in Lightroom CC 00:10:00 Crop and Rotate in Lightroom CC 00:03:00 White Balance and Saturation in Lightroom CC 00:06:00 Light - Exposure and Tone Curve in Lightroom CC 00:08:00 Color Mixer in Lightroom CC 00:02:00 Effects in Lightroom CC 00:05:00 Split Toning in Lightroom CC 00:01:00 Details in Lightroom CC 00:05:00 Optics in Lightroom CC 00:03:00 Geometry in Lightroom CC 00:04:00 Exporting and Sharing Lightroom CC 00:02:00 Healing and Clone Brushes in Lightroom CC 00:04:00 Brush Adjustments Lightroom CC 00:04:00 Radial and Linear Gradients Lightroom CC 00:05:00 Advanced Optione and Presets in Lightroom CC 00:04:00 Full Edit - Night Photo in Lightroom CC 00:11:00 Full Edit - Portrait in Lightroom CC 00:14:00 Editing Photos in Your Web Browses With Lightroom CC 00:03:00

Step into the captivating realm of web design with our comprehensive 'Info Graphics Web Design - Affinity Designer Training' course. Embark on a transformative journey from understanding the core concepts to mastering intricate design techniques using Affinity Designer. Whether you're a novice wanting to get your foot in the door of web design or a designer yearning to enhance your info graphics skill set, this course promises to ignite your passion and mould you into a design maestro. Learning Outcomes Understand the foundational concepts of Affinity Designer. Master the art of drawing and customising shapes for various designs. Gain proficiency in text manipulation and artwork transformation. Become adept at using essential panels to enhance the design process. Learn the best practices for saving, printing, and exporting your creations. Why choose this Info Graphics Web Design - Affinity Designer Training course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Info Graphics Web Design - Affinity Designer Training Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Info Graphics Web Design - Affinity Designer Training course for? Aspiring digital artists seeking foundational knowledge in web design. Web designers eager to expand their toolkit with Affinity Designer. Visual storytellers aiming to enhance their portfolio. Professionals looking to switch to a digital design career. Anyone with a passion for digital artistry and web design. Career path Web Designer - £25,000 - £40,000 Digital Artist - £20,000 - £35,000 Graphic Designer - £22,000 - £37,000 UX/UI Designer - £30,000 - £50,000 Visual Content Creator - £24,000 - £39,000 Digital Media Specialist - £27,000 - £42,000 Prerequisites This Info Graphics Web Design - Affinity Designer Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Info Graphics Web Design - Affinity Designer Training was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction What Is Affinity Designer? 00:03:00 Take A Look Around and Explore the Interface 00:08:00 Module 02: Creating New Documents Create New Documents 00:03:00 Manage Already Created Documents 00:03:00 View Your Documents 00:05:00 Use the View Modes 00:04:00 Module 03: How to Use Artboards What Are Artboards 00:02:00 How to Add and Remove Artboards 00:05:00 Manage Your Artboards 00:04:00 Export the Artboards 00:03:00 Module 04: How to Draw Shapes in Affinity Designer The Drawing Shapes Tools 00:07:00 Use Shape Presets 00:04:00 Use the Pen Tool 00:06:00 Use Brushes in Affinity Designer 00:04:00 Add Gradients Using the Fill Tool 00:03:00 Use Symbols 00:04:00 Use the Drawing Modes to Simulate Masking 00:04:00 Module 05: How to Customize Your Artwork Use the Corner Tool 00:04:00 Use the Point Transform Tool 00:07:00 Add Multiple Strokes and Fills 00:06:00 Use the Vector Crop Tool 00:02:00 Module 06: How to Transform Your Artwork Rotate, Reflect Move and Resize Objects 00:04:00 Align and Distribute Objects 00:04:00 Create Complex Shapes from Simple Objects 00:05:00 Module 07: How to Work with Text in Affinity Designer Create Artistic Text 00:04:00 Create Paragraphs 00:04:00 Create Text on A Path 00:04:00 Add Guides and Column Guides 00:04:00 Module 08: How to Use the Most Important Panels Working with Layers and The Layers Panel 00:03:00 Layer Clipping and Masking 00:04:00 Use the Stroke Panel 00:03:00 Use the Effects Panel 00:04:00 Use the History Panel 00:03:00 Module 09: How to Save, Print and Export Your Artwork Saving and Printing Your Artwork 00:04:00 Saving by Exporting 00:04:00 Using the Export Persona 00:04:00 Module 10: Summary Thanks for Taking This Course 00:01:00 Assignment Assignment - Info Graphics Web Design - Affinity Designer Training 00:00:00