5035 Ada courses

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python 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 2 sections • 90 lectures • 10:24:00 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: 00:08:00 •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: 00:07:00 •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

Overview This comprehensive course on Python Programming: Beginner To Expert will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python Programming: Beginner To Expert 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 Python Programming: Beginner To Expert. It is available to all students, of all academic backgrounds. Requirements Our Python Programming: Beginner To Expert 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 18 sections • 121 lectures • 15:27:00 total length •Intro To Python Section Overview: 00:05:00 •What is Python Programming: 00:10:00 •Who is This Course For: 00:05:00 •Python Programming Marketplace: 00:06:00 •Python Job Opportunities: 00:05:00 •How To Land a Python Job Without a Degree: 00:08:00 •Python Programmer Job Roles: 00:09:00 •Python from A-Z Course Structure: 00:04:00 •Getting Familiar with Python Section Overview: 00:06:00 •Installing Python on Windows: 00:10:00 •Anaconda and Jupyter Notebooks Part 1: 00:08:00 •Anaconda and Jupyter Notebooks Part 2: 00:16:00 •Comments: 00:05:00 •Python Syntax: 00:02:00 •Line Structure: 00:03:00 •Line Structure Exercise: 00:07:00 •Joining Lines: 00:05:00 •Multiple Statements on a Single Line: 00:05:00 •Indentation: 00:08:00 •Basic Data Types Section Overview: 00:08:00 •String Overview: 00:10:00 •String Manipulation: 00:07:00 •String Indexing: 00:04:00 •String Slicing: 00:08:00 •Printing: 00:10:00 •Python Variables: 00:08:00 •Integers and Floats: 00:08:00 •Booleans: 00:05:00 •Mini Project 1 : Letter Counter: 00:20:00 •Python Operators Section Overview: 00:04:00 •Comparison Operators: 00:09:00 •Arithmetic Operators: 00:08:00 •Assignment Operators: 00:04:00 •Logical Operators: 00:13:00 •Identity Operators: 00:05:00 •Membership Operators: 00:02:00 •Bitwise Operators: 00:08:00 •Python Advanced Data Types Section Overview: 00:11:00 •Sets: 00:06:00 •List Overview: 00:05:00 •List Slicing and Indexing: 00:04:00 •Tuples: 00:02:00 •When to use each one?: 00:05:00 •Compound Data Types: 00:03:00 •Dictionaries: 00:11:00 •Control Flow Part 1 Section Overview: 00:15:00 •Intro to Control Flow: 00:01:00 •Basic Conditional Statements: 00:14:00 •More Conditional Statements: 00:05:00 •For Loops: 00:10:00 •While Loops: 00:12:00 •Control Flow Part 2 Section Overview: 00:02:00 •Break Statements: 00:08:00 •Continue Statements: 00:05:00 •Zip Function: 00:07:00 •Enumerate Function: 00:04:00 •List Comprehension: 00:04:00 •Python Functions Section Overview: 00:03:00 •Intro to Functions: 00:02:00 •Python help Function: 00:03:00 •Defining Functions: 00:09:00 •Variable Scope: 00:08:00 •Doc Strings: 00:04:00 •User Input and Error Handling Section Overview: 00:02:00 •Introduction to error handling: 00:03:00 •User Input: 00:04:00 •Syntax Errors: 00:04:00 •Exceptions: 00:11:00 •Handling Exceptions Part 1: 00:08:00 •Handling Exceptions Part 2: 00:08:00 •Python Advanced Functions Section Overview: 00:05:00 •Lambda Functions: 00:05:00 •Functions args and kwargs: 00:10:00 •Iterators: 00:08:00 •Generators and Yield: 00:12:00 •Map Function: 00:14:00 •Filter Function: 00:08:00 •Python Scripting and Libraries Section Overview: 00:05:00 •What is a script: 00:01:00 •What is an IDE: 00:17:00 •What is a text editor?: 00:12:00 •From Jupyter Notebook to VScode Part 1: 00:15:00 •From Jupyter Notebook to VScode Part 2: 00:05:00 •Importing Scripts: 00:03:00 •Standard Libraries: 00:04:00 •Third Party Libraries: 00:06:00 •NumPy Section Overview: 00:04:00 •Intro to NumPy: 00:04:00 •Why use NumPy?: 00:04:00 •NumPy Arrays: 00:10:00 •Reshaping, Accessing, and Modifying: 00:07:00 •Slicing and Copying: 00:06:00 •Inserting, Appending, and Deleting: 00:10:00 •Array Logical Indexing: 00:04:00 •Broadcasting: 00:08:00 •Intro to Pandas: 00:17:00 •Pandas Series: 00:17:00 •Pandas Series Manipulation: 00:17:00 •Pandas DataFrame: 00:17:00 •Pandas DataFrame Manipulation: 00:13:00 •Dealing with Missing Values: 00:10:00 •Functional vs OOP: 00:06:00 •OOP Key Definitions: 00:04:00 •Create your First Class: 00:12:00 •How to Create and Use Objects: 00:06:00 •How to Modify Attributes: 00:12:00 •Python Decorators: 00:27:00 •Property Decorator: 00:09:00 •Class Method Decorator: 00:07:00 •Static Methods: 00:10:00 •Inheritance from A to Z: 00:21:00 •Python Career Section Overview: 00:06:00 •Getting Started with Freelancing: 00:09:00 •Building A Brand: 00:12:00 •Personal Branding: 00:13:00 •Importance of Having Website/Blog: 00:04:00 •Do's And Don'ts Of Networking: 00:06:00 •Top Freelance Websites: 00:08:00 •Creating A Python Developer Resume: 00:06:00 •Resources - Python Programming: Beginner To Expert: 00:00:00 •Assignment - Python Programming: Beginner To Expert: 00:00:00

Overview This comprehensive course on Learn Ethical Hacking From A-Z: Beginner To Expert will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Learn Ethical Hacking From A-Z: Beginner To Expert 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 Learn Ethical Hacking From A-Z: Beginner To Expert. It is available to all students, of all academic backgrounds. Requirements Our Learn Ethical Hacking From A-Z: Beginner To Expert 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 17 sections • 105 lectures • 11:51:00 total length •Course Overview: 00:08:00 •About Your Instructors: 00:03:00 •Section Overview: 00:03:00 •Current Cybersecurity Market: 00:09:00 •The 3 Types of Hackers: 00:05:00 •The 4 Elements of Security: 00:04:00 •Ethical Hacker Terminology: 00:04:00 •Common Methods of Hacking: 00:08:00 •Cybersecurity & Ethical Hacking Overview: 00:03:00 •Ethical Hacking vs Penetration Testing: 00:06:00 •Job Opportunities in Cybersecurity: 00:01:00 •Who is This Course is For?: 00:01:00 •Networking Section Overview: 00:12:00 •How Data Travels Across The Internet: 00:02:00 •Understanding Ports and Protocols: 00:08:00 •Understanding IP Addresses: Public & Private: 00:02:00 •What Are Subnets?: 00:03:00 •The Average Network vs Remote Based: 00:06:00 •Hacking Lab Section Overview: 00:09:00 •Understanding Virtual Machines: 00:03:00 •Setup Your Kali Linux Machine: 00:10:00 •VN Setup & Testing Vulnerable Systems: 00:23:00 •Linux+Python+Bash+Powershell Section Overview: 00:06:00 •Linux Basics: 00:11:00 •Working With Directories & Moving Files: 00:03:00 •Installing & Updating Application Files: 00:02:00 •Linux Text Editors: 00:04:00 •Searching For Files: 00:02:00 •Bash Scripting Basics: 00:09:00 •Python Basics: 00:11:00 •Remaining Anonymous Section Overview: 00:06:00 •TOR Browser Overview: 00:06:00 •Anonsurf Overview: 00:03:00 •Changing Mac Addresses: 00:03:00 •Using a Virtual Private Network/Server (VPN, VPS): 00:04:00 •WiFi Hacking Section Overview: 00:06:00 •WiFi Hacking System Setup: 00:09:00 •WEP Hacking Attack #1: 00:09:00 •WEP Hacking Attack #2: 00:04:00 •WPA/WPA2 Hacking: 00:10:00 •Reconnaissance Section Overview: 00:04:00 •Passive Recon vs Active Recon: 00:01:00 •Recon-ng Overview: 00:15:00 •Whois Enumeration: 00:02:00 •DNS Enumeration Overview: 00:02:00 •Netcraft.com DNS Information: 00:03:00 •Google Hacking: 00:05:00 •Shodan.io Overview: 00:02:00 •Securityheaders.com (Analyze HTTPS Headers of website): 00:02:00 •Ssllabs.com/ssltest (Look for SSL issues on website): 00:02:00 •Pastebin.com (Sensitive Information): 00:01:00 •NMAP Port Scanning (Discover open ports, OS, Services, Vulnerabilities, etc.): 00:15:00 •Netcat Overview + SMB/NFSEnumeration: 00:14:00 •Nikto & Sparta Web Application Scanner: 00:06:00 •SMPT Enumeration + Nessus/Openvas Scanners: 00:05:00 •Launching Attacks Overview: 00:10:00 •Analyzing Information Gathered: 00:04:00 •Taking Advantage of Telenet: 00:06:00 •Searching & Understanding Exploits: 00:06:00 •Copy Exploits From Searchsploit: 00:03:00 •Understanding Exploits: 00:04:00 •Launching Exploits: 00:24:00 •Brute Force Attacks: 00:07:00 •How To Crack Passwords: 00:04:00 •ARP Spoofing Overview: 00:21:00 •Introduction To Cryptography: 00:14:00 •Post Exploitation Section Overview: 00:03:00 •Privilege Escalation: 00:29:00 •Transferring Files in/out of Victim, Creating Custom Malware + Evading Antivirus: 00:27:00 •Installing a Keylogger: 00:03:00 •Installing a Backdoor: 00:07:00 •Website & Web Application Hacking Overview: 00:06:00 •Web Application Scanning: 00:08:00 •Directory Buster Hacking Tool: 00:03:00 •Nikto Web App Hacking Tool: 00:03:00 •SQLmap and SQL Ninja Overview: 00:01:00 •How To Execute Brute Force Attacks: 00:13:00 •Using Command Injection: 00:03:00 •Malicious File Upload: 00:10:00 •Local & Remote File Inclusion: 00:10:00 •SQL Injection Overview: 00:19:00 •Using Cross Site Request Forgery: 00:11:00 •Cross Site Scripting Overview: 00:12:00 •Mobile Phone Hacking Section Overview: 00:11:00 •Mobile Attack Vectors: 00:02:00 •Mobile Hacking Using URLs: 00:02:00 •Jail Breaking and Rooting Considerations: 00:01:00 •Privacy Issues (Geo Location): 00:01:00 •Mobile Phone Data Security: 00:02:00 •Getting Your Name Out There Section Overview: 00:02:00 •Building A Brand: 00:09:00 •Personal Branding: 00:13:00 •Setup Your Website and Blog: 00:11:00 •Writing a Book: 00:10:00 •Starting a Podcast: 00:08:00 •Networking Overview: 00:06:00 •Making Money Section Overview: 00:02:00 •Bug Bounty Programs: 00:04:00 •How To Start Freelancing: 00:11:00 •How To Start Client Consulting: 00:09:00 •Potential Salary & Cybersecurity Roadmap: 00:10:00 •Books Recommendations: 00:03:00 •Places to Practice Hacking for Free: 00:03:00 •Resources - Learn Ethical Hacking From A-Z: Beginner To Expert: 00:00:00 •Assignment - Learn Ethical Hacking From A-Z: Beginner To Expert: 00:00:00

Overview This comprehensive course on Programming AutoCAD to Excel using VB.NET will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Programming AutoCAD to Excel using VB.NET 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 Programming AutoCAD to Excel using VB.NET. It is available to all students, of all academic backgrounds. Requirements Our Programming AutoCAD to Excel using VB.NET 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 7 sections • 102 lectures • 09:34:00 total length •Introduction: 00:04:00 •Who is this course for?: 00:02:00 •What will you learn from this course?: 00:05:00 •Tools needed: 00:01:00 •Course Prerequisites: 00:04:00 •Section Overview - Export AutoCAD Objects to Excel: 00:02:00 •Exporting Lines to Excel - Overview: 00:02:00 •Creating the VB.NET-Excel Project: 00:06:00 •Design of User Interface to Export Lines: 00:10:00 •Creating the Common Utility Class: 00:19:00 •Creating the ExportLines Method: 00:12:00 •Running and Testing ExportLines Method: 00:06:00 •Exporting MTexts to Excel - Overview: 00:02:00 •Creating the ExportMTexts Method: 00:11:00 •Export Polylines to Excel - Overview: 00:01:00 •Creating the ExportPolylines Method: 00:12:00 •Running and Testing ExportPoylines Method: 00:12:00 •Export Blocks (Without Attributes) to Excel - Overview: 00:01:00 •Creating the ExportBlocks Method: 00:12:00 •Creating Export Blocks UI and Running the Code: 00:06:00 •Exporting Blocks (With Attributes) to Excel - Overview: 00:02:00 •Creating the User Interface for exporting Blocks to Excel: 00:05:00 •Creation of BlocksForm UI: 00:04:00 •Coding the BlocksForm Load Event: 00:08:00 •Testing the BlocksForm UI: 00:03:00 •Coding the BlocksForm to populate the Listboxes: 00:15:00 •Coding the BlocksForm Export Button: 00:04:00 •Coding the ExportBlocksWithAttributes Method: 00:21:00 •Running and Testing ExportBlocksWithAttributes Method: 00:02:00 •Section Overview - Import Excel File into AutoCAD: 00:01:00 •Importing Lines from Excel File into AutoCAD - Overview: 00:01:00 •Creating ImportExcelUtil Class: 00:02:00 •Creating the ImportLines Method: 00:19:00 •Creating the UI for the ImportLines Method: 00:02:00 •Coding the ImportLines UI code behind.: 00:07:00 •Running and Testing ImportLines Method: 00:08:00 •Importing MTexts into AutoCAD - Overview: 00:01:00 •Creating the ImportMTexts Method: 00:11:00 •Creating ImportMTexts User Interface: 00:02:00 •Running and Testing ImportMTexts Method: 00:02:00 •Importing Polylines from Excel File into AutoCAD - Overview: 00:01:00 •Creating the ImportPolylines Method: 00:14:00 •Creating ImportPolylines User Interface: 00:02:00 •Running and Testing ImportPolylines Method: 00:03:00 •Running and Testing ImportPolylines (from a File) Method: 00:02:00 •Importing Blocks (without Attributes) from Excel File into AutoCAD - Overview: 00:01:00 •Creating the ImportBlocks Method: 00:09:00 •Creating the ImportBlocks User Interface: 00:02:00 •Running and Testing ImportBlocks Method: 00:03:00 •Importing Blocks (with Attirubtes) from Excel File into AutoCAD - Overview: 00:02:00 •Creating the ImportBlocksWithAttributes Method: 00:25:00 •Creating the UI for ImportBlocksWithAttributes Method: 00:04:00 •Running and Testing ImportBlocksWithAttributes Method: 00:03:00 •Exporting Lines to a File - Overview: 00:02:00 •Creating the ExportToFile Utility Class: 00:04:00 •Creating ExportLinesToFile Method: 00:14:00 •Creating the UI for ExportLinesToFile Method: 00:08:00 •Running and Testing ExportLinesToFile Method: 00:02:00 •Exporting MTexts to File - Overview: 00:01:00 •Creating the MTextToFile Method: 00:06:00 •Creating the UI for the ExportMTextToFile Method: 00:01:00 •Running and Testing ExportMTextToFile Method.: 00:08:00 •Exporting Polylines to File - Overview: 00:02:00 •Creating ExportPolylinesToFile Method: 00:11:00 •Exporting Polylines to File - User Interface: 00:01:00 •Running and Testing ExportPolylinesToFile Method: 00:02:00 •Exporting Blocks (without Attributes) to File - Overview: 00:02:00 •Creating the ExportBlocksToFile Method: 00:10:00 •Creating ExportBlocksToFile User Interface: 00:02:00 •Running and Testing ExportBlocksToFile Method: 00:02:00 •Exporting Blocks (With Attributes) to a File - Overview: 00:02:00 •Creating the EXportBlocksWithAttributesToFile Method: 00:19:00 •Creating the UI for ExportBlocksWithAttributesToFile Method: 00:06:00 •Coding the BlocksForm for ExportBlocksWithAttributeToFile Method: 00:04:00 •Running and Testing ExportBlocksWithAttributesToFile Method: 00:03:00 •Importing Text File into AutoCAD - Overview: 00:01:00 •Importing Lines from a Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportFileUtil Class: 00:01:00 •Creating the ImportLinesMethod: 00:17:00 •Creation of ImportLines User Interface: 00:03:00 •Coding the ImportLines UI button: 00:05:00 •Running and Testing the ImportLines Method: 00:04:00 •Importing MTexts from Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportMTexts Method: 00:09:00 •Creating the TextStyle Manipulation Code: 00:02:00 •Creating the UI for the ImportMTexts Method: 00:01:00 •Running and Testing the ImportMTexts Method: 00:04:00 •Importing Polylines from a Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportPolylines Method: 00:18:00 •Creating the ImportPolylines UI: 00:02:00 •Running and Testing ImportPolylines (from a File) Method: 00:02:00 •Importing BLocks (without Attributes) from a Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportBlocks (without Attributes) Method: 00:15:00 •Creating the ImportBlocks UI: 00:05:00 •Running and Testing ImportBlocks (without Attributes) Method: 00:04:00 •Importing Blocks (with Attributes) from a Text File into AutoCAD - Overview: 00:02:00 •Creating the ImportBlocksWithAttributes from a File Method: 00:24:00 •Creating the ImportBlocksWithAttributes (from a File) UI (Part 1): 00:06:00 •Creating the ImportBlocksWithAttributes (from a File) UI (Part 2): 00:04:00 •Running and Testing ImportBlocksWithAttributes (from a File) Method: 00:03:00 •Conclusion: 00:01:00 •Assignment - Programming AutoCAD to Excel using VB.NET: 00:00:00

Flash Sale Now On | Gifts: PDF Certificate

Overview This comprehensive course on Algebra Fundamentals will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Algebra Fundamentals 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 Algebra Fundamentals. It is available to all students, of all academic backgrounds. Requirements Our Algebra Fundamentals 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 17 sections • 83 lectures • 11:02:00 total length •Lecture 1 Introduction: 00:03:00 •Lecture 2 What is Algebra: 00:02:00 •Lecture 3 Simple Equations: 00:05:00 •Lecture 4 What are Polynomials: 00:04:00 •Lecture 5 Terms in Polynomials: 00:03:00 •Lecture 6 Degree of Polynomials: 00:05:00 •Lecture 7 Writing statements to algebraic form: 00:04:00 •Lecture 8 Integers and common mistakes in solving integers: 00:13:00 •Lecture 9 Arrangement of Terms: 00:07:00 •Lecture 10 Powers on integers: 00:04:00 •Lecture11 Simplification using BODMAS: 00:08:00 •Lecture 12 Distributive Properties in Polynomials: 00:04:00 •Lecture 13 Simplify Polynomials: 00:10:00 •Lecture 14 Additions of Polynomials: 00:06:00 •Lecture 15 Subtractions of Polynomials: 00:10:00 •Lecture 16 The rules of Indices in algebra: 00:11:00 •Lecture 17 Fractional indices: 00:10:00 •Lecture 18 Understanding indices (practice questions): 00:07:00 •Lecture 19 Problems from IGCSE Last year papers: 00:09:00 •Lecture 20 Multiplication of monomial to Polynomial: 00:09:00 •Lecture 21 Multiplication of Polynomial by Polynomial: 00:06:00 •Lecture 22 Division of algebraic expression by a monomial: 00:08:00 •Lecture 23 Division of algebraic expression by another polynomial: 00:09:00 •Lecture 24 Division of a polynomial by another polynomial with remainder: 00:11:00 •Lecture 25 Rules of brackets: 00:04:00 •Lecture 26 Simplification by removing brackets: 00:11:00 •Lecture 27 Simplification of algebraic fractions: 00:07:00 •Lecture 28 Rules to solve linear equations in one variable: 00:03:00 •Lecture 29 Solving linear equations in one variable: 00:07:00 •Lecture 30 Solving complex linear equations in one variable: 00:10:00 •Lecture 31 Word problems on linear equations in one variable: 00:13:00 •Lecture 32 What are Identities?: 00:05:00 •Lecture 33 Identity ( a + b ) ²: 00:13:00 •Lecture 35 Identity a² - b² = (a-b) (a +b ) new: 00:07:00 •Lecture 36 -- Standard Identities ( a + b + c ) ² = a ² + b ² + c ² + 2 a b + 2 a c +2 b c old: 00:07:00 •Lecture 37 Identity (x + a) (x + b) Identity Derivation & Application new: 00:08:00 •Lecture 38 Pascal's Triangle _ Identity ( a + b ) ³ new: 00:07:00 •Lecture 39 Identities( a - b ) ³, ( a ³ + b ³) and (a ³ - b ³) new: 00:13:00 •Lecture 40 - Standard Identities a ³ + b ³ + c ³ - 3 a b c: 00:10:00 •Lecture 41 -Changing the subject of formula: 00:08:00 •Lecture 42 - Linear Inequalities: 00:12:00 •Lecture 43 - Factorization by taking out common factor: 00:10:00 •Lecture 44 - Factorization by grouping the terms: 00:09:00 •Lecture 45 - factorize using identity a ² - b ²: 00:07:00 •Lecture 46 - factorize using identity (a + b )² and (a - b )² (2): 00:08:00 •Lecture 47 - factorize using identity ( a + b + c ) ²: 00:05:00 •Lecture 48 - factorization by middle term split: 00:12:00 •Lecture 49 -Simplification of algebraic fractions: 00:06:00 •Lecture 50 All that you need to know about co ordinate axis: 00:04:00 •Lecture 51 Some important facts needed to draw line graph: 00:03:00 •Lecture 52 - How to draw a line graph on coordinate plane: 00:03:00 •Lecture 53 Drawing line graphs: 00:06:00 •Lecture 54 Simultaneous Linear Equations in two variables- intro: 00:03:00 •Lecture 55 Graphical method of solving linear equations: 00:06:00 •Lecture 56 Graphical method - more problems: 00:10:00 •Lecture 57 Method of Elimination by substitution: 00:09:00 •Lecture 58 Method of Elimination by Equating coefficients: 00:11:00 •Lecture 59 Method of Elimination by cross multiplication: 00:07:00 •Lecture 60 Equations reducible to simultaneous linear equations: 00:12:00 •Lecture 61 Word Problems on Linear equations: 00:18:00 •Lecture 62 Polynomials and Zeros of polynomials: 00:10:00 •Lecture 63 Remainder Theorem: 00:04:00 •Lecture 64 Factor Theorem: 00:08:00 •Lecture 65 Practice problems on Remainder and Factor Theorem: 00:09:00 •Lecture 66 Factorization using factor Theorem: 00:10:00 •Lecture 67 Zeros of polynomials α, β & γ: 00:10:00 •Lecture 68 Relation between zeros and coefficients of a polynomials: 00:13:00 •Lecture 69 Finding polynomials if zeros are known: 00:06:00 •Lecture 70 Practice problems on zeros of polynomials: 00:10:00 •Lecture 71Problems solving with α and β (part 1): 00:11:00 •Lecture 72 Problems solving with α and β (part 2): 00:10:00 •Lecture73 what are Quadratic equations: 00:03:00 •Lecture 74 Solutions by factorization method: 00:12:00 •Lecture 75 Solutions by completing square formula: 00:06:00 •Lecture 76 Deriving Quadratic formula: 00:05:00 •Lecture 77 Practice problems by Quadratic formula: 00:07:00 •Lecture 78 Solving complex quadratic equations by Quadratic Formula: 00:11:00 •Lecture 79 Solutions of reducible to Quadratic Formula: 00:09:00 •Lecture 80 Skilled problems on Quadratic Equations: 00:07:00 •Lecture 81 Exponential problems reducible to Quadratic Equations: 00:06:00 •Lecture 82 Nature of Roots of Quadratic Equations: 00:09:00 •Lecture 83 Word problems on quadratic Equations Part 1: 00:13:00 •Lecture 84 Word problems on quadratic Equations Part 2: 00:11:00

A Special Educational Needs (SEN) Teaching Assistant provides crucial support to teachers in helping children with special educational needs and disabilities. From assisting in the classroom to promoting academic, social, and emotional development, this role is rewarding and impactful. Explore how to become an SEN teaching assistant and discover the skills needed for success.

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop 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 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

Overview This comprehensive course on Ultimate PHP & MySQL Web Development Course & OOP Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ultimate PHP & MySQL Web Development Course & OOP Coding 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 Ultimate PHP & MySQL Web Development Course & OOP Coding. It is available to all students, of all academic backgrounds. Requirements Our Ultimate PHP & MySQL Web Development Course & OOP Coding 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 15 sections • 133 lectures • 10:06:00 total length •Introduction: 00:02:00 •Setup On Windows: 00:15:00 •Setup On Mac: 00:11:00 •Setup On Linux: 00:12:00 •Online Code Editor: 00:03:00 •Basic File Syntax: 00:05:00 •Printing (echo): 00:06:00 •Comments: 00:05:00 •Variables: 00:06:00 •Variable Data Types: 00:07:00 •Variable Naming: 00:03:00 •Constants: 00:02:00 •Arrays: 00:05:00 •Associative Arrays: 00:06:00 •Multidimensional Arrays: 00:04:00 •if Statement: 00:06:00 •ifelse Statement: 00:02:00 •ifelseifelse Statement: 00:05:00 •Switch Statement: 00:06:00 •while Loop: 00:06:00 •doWhile Loop: 00:03:00 •for Loop: 00:03:00 •foreach Loop: 00:05:00 •Break Statement: 00:02:00 •Continue Statement: 00:02:00 •Basic Function: 00:03:00 •Passing Function Arguments: 00:03:00 •Passing Function Arguments By Reference: 00:04:00 •Default Argument Value: 00:02:00 •Function Returning Values: 00:05:00 •Dynamic Function Calls: 00:03:00 •Variable Scope: 00:04:00 •Simple HTML Form: 00:07:00 •GET vs POST: 00:05:00 •$_SERVER ['PHP_SELF']: 00:07:00 •Validating Form Data With PHP: 00:07:00 •Required Fields: 00:05:00 •Display Error Messages: 00:05:00 •Validate Name: 00:03:00 •Validate Email: 00:03:00 •Validate URL: 00:07:00 •Keep The Values In The Form: 00:04:00 •Read File (readfile()): 00:02:00 •Open, Read & Close A File (fopen(), fread(), fclose()): 00:04:00 •Read Single Line (fgets()): 00:03:00 •Check End-Of-File (feof()): 00:02:00 •Read Single Character (fgetc()): 00:02:00 •Write To File (fwrite()): 00:03:00 •Configure php.ini File For File Uploading: 00:02:00 •Front End HTML Upload Form: 00:04:00 •PHP Upload Script: 00:15:00 •Check If File Exists: 00:03:00 •Limit File Size: 00:05:00 •Limit File Type: 00:04:00 •MySQL vs MySQLi vs PDO: 00:05:00 •Creating A Database & Table (phpMyAdmin): 00:06:00 •Connecting To A Database: 00:06:00 •Get Data Using SELECT Query: 00:10:00 •WHERE Property For Filtering: 00:03:00 •LIKE Property For Pattern Search: 00:02:00 •Sorting Results Using ORDER BY Property: 00:01:00 •Using JOINS: 00:08:00 •Insert Data Using INSERT Query: 00:04:00 •Get ID Of The Last Inserted Row: 00:02:00 •Insert Multiple Rows: 00:05:00 •Update Data Using UPDATE Query: 00:03:00 •Delete Data Using DELETE Query: 00:02:00 •Delete All Rows In A Table Using TRUNCATE Query: 00:02:00 •Delete Table Using DROP Query: 00:02:00 •Limit Data Selections Using LIMIT, ROWNUM: 00:04:00 •Create Table Using CREATE Query: 00:03:00 •Clone/Duplicate Table: 00:03:00 •Alter Table: 00:05:00 •Create Database: 00:02:00 •Drop Database: 00:02:00 •SQL Injection & Prepared Statements: 00:09:00 •What Is XML?: 00:02:00 •What Is SimpleXML?: 00:02:00 •Parse XML String: 00:08:00 •Parse XML File: 00:02:00 •Get Node Values: 00:02:00 •Get Node Values of Specific Elements: 00:03:00 •Get Node Values - Loop: 00:03:00 •Get Attribute Values: 00:02:00 •What Is The XML Expat Parser?: 00:02:00 •Initializing The XML Expat Parser: 00:10:00 •Load and Output XML Using DOM Parser: 00:02:00 •Looping Through XML Using DOM Parser: 00:03:00 •What Is AJAX?: 00:02:00 •Load Simple Data Using AJAX Front End: 00:08:00 •Load Simple Data Using AJAX Back End: 00:05:00 •Load Data From A Database Using AJAX: 00:08:00 •Send A Plain Text Email: 00:04:00 •Send A HTML Email: 00:06:00 •Email Attachments: 00:17:00 •PHPMailer Setup: 00:03:00 •Send Email Using PHPMailer: 00:04:00 •Send HTML Email Using PHPMailer: 00:04:00 •Email Attachments Using PHPMailer: 00:02:00 •What Is Object Oriented Programming (OOP)?: 00:03:00 •Basic Class With Variables: 00:04:00 •Functions: 00:05:00 •Constructor: 00:04:00 •Destructor: 00:02:00 •Inheritance: 00:06:00 •Multi Class Inheritance: 00:03:00 •Function Overriding: 00:03:00 •Public vs Private vs Protected: 00:05:00 •Interfaces: 00:04:00 •Constants: 00:03:00 •Abstract Class: 00:06:00 •Static Keyword: 00:03:00 •Final Keyword: 00:02:00 •Initiating Parent Constructor: 00:02:00 •die() Function: 00:02:00 •Custom Error Handler: 00:04:00 •Triggering An Exception: 00:03:00 •Exception Handling: 00:05:00 •Create Database & Table: 00:04:00 •User Class & Database Connection: 00:15:00 •Register User Form: 00:09:00 •Inserting User Data Into Database: 00:10:00 •Registration Form Field Validation: 00:12:00 •Securing User Password: 00:03:00 •Check If Username or Email Already Exists: 00:11:00 •Retain Data After Failed Registration: 00:03:00 •Validate an Integer Within a Range: 00:04:00 •Validate IPv6 Address: 00:03:00 •Validate URL - Must Contain QueryString: 00:03:00 •Remove Characters With ASCII Value > 127: 00:04:00 •Including & Requiring External PHP Files: 00:05:00 •Resource: 00:00:00 •Assignment - Ultimate PHP & MySQL Web Development Course & OOP Coding: 00:00:00

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