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The Microsoft Office Course is designed to provide you with essential skills in MS Office applications that are integral to virtually every workplace, from multinational companies to local schools. Whether you're looking to enhance your everyday work or boost your resume, this course covers everything from Excel to Word, PowerPoint, and Access. By enrolling in this training, you will develop the necessary expertise to manage data, and create documents, presentations, and databases, all while improving your overall proficiency in Microsoft Office tools.

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Want to know how to hack a website and fix vulnerabilities in computer systems and networks? Are you a web administrator or developer who wants to secure your website? This Learn Website Hacking From Scratch is ideal for those who have little or no knowledge of website hacking, and want an introductory guide to this topic. In this website hacking and penetration testing course for beginners, you'll start with learning the basics of how to exploit and mitigate websites and web applications, moving on to more advanced techniques, where topics covered include bypassing security, accessing databases, SQL injection and cross-site scripting (XSS). You'll also familiarise with the Linux operating system and BeEf web browser attacking framework. On course completion, you'll have the practical skills and knowledge to exploit networks like an attacker. Enrol in this Learn Website Hacking From Scratch today and start hacking systems like the experts! What you'll learn Install hacking lab & needed software (works on Windows, OS X and Linux). Discover, exploit and mitigate a number of dangerous vulnerabilities. Use advanced techniques to discover and exploit these vulnerabilities. Bypass security measurements and escalate privileges. Intercept requests using a proxy. Hack all websites on same server. Bypass filters and client-side security Adopt SQL queries to discover and exploit SQL injections in secure pages Gain full control over target server using SQL injections Discover & exploit blind SQL injections Install Kali Linux - a penetration testing operating system Install windows & vulnerable operating systems as virtual machines for testing Learn linux commands and how to interact with the terminal Learn linux basics Understand how websites & web applications work Understand how browsers communicate with websites Gather sensitive information about websites Discover servers, technologies and services used on target website Discover emails and sensitive data associated with a specific website Find all subdomains associated with a website Discover unpublished directories and files associated with a target website Find all websites hosted on the same server as the target website Discover, exploit and fix file upload vulnerabilities Exploit advanced file upload vulnerabilities & gain full control over the target website Discover, exploit and fix code execution vulnerabilities Exploit advanced code execution vulnerabilities & gain full control over the target website Discover, exploit & fix local file inclusion vulnerabilities Exploit advanced local file inclusion vulnerabilities & gain full control over the target website Exploit advanced remote file inclusion vulnerabilities & gain full control over the target website Discover, fix, and exploit SQL injection vulnerabilities Bypass login forms and login as admin using SQL injections Writing SQL queries to find databases, tables and sensitive data such as usernames ad passwords using SQL injections Bypass filtering, and login as admin without password using SQL injections Bypass filtering and security measurements Read / Write files to the server using SQL injections Patch SQL injections quickly Learn the right way to write SQL queries to prevent SQL injections Discover basic & advanced reflected XSS vulnerabilities Discover basic & advanced stored XSS vulnerabilities Discover DOM-based XSS vulnerabilities How to use BeEF framwork Hook victims to BeEF using reflected, stored and DOM based XSS vulnerabilities Steal credentials from hooked victims Run javascript code on hooked victims Create an undetectable backdoor Hack into hooked computers and gain full control over them Fix XSS vulnerabilities & protect yourself from them as a user What do we mean by brute force & wordlist attacks Create a wordlist or a dictionary Launch a wordlist attack and guess admin's password Discover all of the above vulnerabilities automatically using a web proxy Run system commands on the target webserver Access the file system (navigate between directories, read/write files) Download, upload files Bypass security measurements Access all websites on the same webserver Connect to the database and execute SQL queries or download the whole database to the local machine Requirements Basic IT Skills No Linux, programming or hacking knowledge required. Computer with a minimum of 4GB ram/memory Operating System: Windows / OS X / Linux Who this course is for: Anybody who is interested in learning website & web application hacking / penetration testing Anybody who wants to learn how hackers hack websites Anybody who wants to learn how to secure websites & web applications from hacker Web developers so they can create secure web application & secure their existing ones Web admins so they can secure their websites Course Introduction Course Introduction FREE 00:02:00 Preparation - Creating a Penetration Testing Lab Lab Overview & Needed Software 00:08:00 Installing Kali 2019 As a Virtual Machine Using a Ready Image 00:10:00 Installing Kali 2019 As a Virtual Machine 00:10:00 Installing Metasploitable As a Virtual Machine 00:04:00 Preparation - Linux Basics Basic Overview of Kali Linux 00:05:00 The Linux Terminal & Basic Linux Commands 00:11:00 Configuring Metasploitable & Lab Network Settings 00:06:00 Website Basics What is a Website? 00:04:00 How To Hack a Website? 00:04:00 Information Gathering Gathering Information Using Whois Lookup 00:05:00 Discovering Technologies Used On The Website 00:06:00 Gathering Comprehensive DNS Information 00:10:00 Discovering Websites On The Same Server 00:04:00 Discovering Subdomains 00:05:00 Discovering Sensitive Files 00:07:00 Analysing Discovered Files 00:04:00 Maltego - Discovering Servers, Domains & Files 00:08:00 Maltego - Discovering Websites, Hosting Provider & Emails 00:05:00 File Upload Vulnerabilities What are they? And How To Discover & Exploit Basic File Upload Vulnerabilities 00:07:00 HTTP Requests - GET & POST 00:04:00 Intercepting HTTP Requests 00:07:00 Exploiting Advanced File Upload Vulnerabilities 00:05:00 Exploiting More Advanced File Upload Vulnerabilities 00:04:00 [Security] Fixing File Upload Vulnerabilities 00:06:00 Code Execution Vulnerabilities What are they? & How To Discover & Exploit Basic Code Execution Vulnerabilities 00:07:00 Exploiting Advanced Code Execution Vulnerabilities 00:06:00 [Security] - Fixing Code Execution Vulnerabilities 00:06:00 Local File Inclusion Vulnerabilities (LFI) What are they? And How To Discover & Exploit Them 00:06:00 Gaining Shell Access From LFI Vulnerabilities - Method 1 00:07:00 Gaining Shell Access From LFI Vulnerabilities - Method 2 00:11:00 Remote File Inclusion Vulnerabilities (RFI) Remote File Inclusion Vulnerabilities - Configuring PHP Settings 00:04:00 Remote File Inclusion Vulnerabilities - Discovery & Exploitation 00:06:00 Exploiting Advanced Remote File Inclusion Vulnerabilities 00:03:00 [Security] Fixing File Inclusion Vulnerabilities 00:06:00 SQL Injection Vulnerabilities What is SQL 00:06:00 Dangers of SQL Injections 00:03:00 SQL Injection Vulnerabilities - SQLi In Login Pages Discovering SQL Injections In POST 00:08:00 Bypassing Logins Using SQL Injection Vulnerability 00:05:00 Bypassing More Secure Logins Using SQL Injections 00:06:00 [Security] Preventing SQL Injections In Login Pages 00:08:00 SQL Injection Vulnerabilities - Extracting Data From The Database Discovering SQL Injections in GET 00:07:00 Reading Database Information 00:05:00 Finding Database Tables 00:04:00 Extracting Sensitive Data Such As Passwords 00:04:00 SQL Injection Vulnerabilities - Advanced Exploitation Discovering & Exploiting Blind SQL Injections 00:06:00 Discovering a More Complicated SQL Injection 00:07:00 Extracting Data (passwords) By Exploiting a More Difficult SQL Injection 00:05:00 Bypassing Filters 00:05:00 Bypassing Security & Accessing All Records 00:09:00 [Security] Quick Fix To Prevent SQL Injections 00:07:00 Reading & Writing Files On The Server Using SQL Injection Vulnerability 00:06:00 Getting A Reverse Shell Access & Gaining Full Control Over The Target Web Server 00:08:00 Discovering SQL Injections & Extracting Data Using SQLmap 00:07:00 [Security] - The Right Way To Prevent SQL Injection 00:05:00 XSS Vulnerabilities Introduction - What is XSS or Cross Site Scripting? 00:03:00 Discovering Basic Reflected XSS 00:04:00 Discovering Advanced Reflected XSS 00:05:00 Discovering An Even More Advanced Reflected XSS 00:07:00 Discovering Stored XSS 00:03:00 Discovering Advanced Stored XSS 00:04:00 XSS Vulnerabilities - Exploitation Hooking Victims To BeEF Using Reflected XSS 00:06:00 Hooking Victims To BeEF Using Stored XSS 00:04:00 BeEF - Interacting With Hooked Victims 00:04:00 BeEF - Running Basic Commands On Victims 00:04:00 BeEF - Stealing Credentials/Passwords Using A Fake Login Prompt 00:02:00 Bonus - Installing Veil 3.1 00:06:00 Bonus - Veil Overview & Payloads Basics 00:07:00 Bonus - Generating An Undetectable Backdoor Using Veil 3 00:10:00 Bonus - Listening For Incoming Connections 00:07:00 Bonus - Using A Basic Delivery Method To Test The Backdoor & Hack Windows 10 00:07:00 BeEF - Gaining Full Control Over Windows Target 00:04:00 [Security] Fixing XSS Vulnerabilities 00:07:00 Insecure Session Management Logging In As Admin Without a Password By Manipulating Cookies 00:06:00 Discovering Cross Site Request Forgery Vulnerabilities (CSRF) 00:07:00 Exploiting CSRF Vulnerabilities To Change Admin Password Using a HTML File 00:07:00 Exploiting CSRF Vulnerabilities To Change Admin Password Using Link (Preview) 00:06:00 [Security] The Right Way To Prevent CSRF Vulnerabilities 00:09:00 Brute Force & Dictionary Attacks What Are Brute Force & Dictionary Attacks? 00:04:00 Creating a Wordlist 00:07:00 Launching a Wordlist Attack & Guessing Login Password Using Hydra 00:14:00 Discovering Vulnerabilities Automatically Using Owasp ZAP Scanning Target Website For Vulnerabilities 00:04:00 Analysing Scan Results 00:04:00 Post Exploitation Post Exploitation Introduction 00:04:00 Interacting With The Reverse Shell Access Obtained In Previous Lectures 00:07:00 Escalating Reverse Shell Access To Weevely Shell 00:08:00 Weevely Basics - Accessing Other Websites, Running Shell Commands ...etc 00:07:00 Bypassing Limited Privileges & Executing Shell Commands 00:05:00 Downloading Files From Target Webserver 00:05:00 Uploading Files To Target Webserver 00:08:00 Getting a Reverse Connection From Weevely 00:08:00 Accessing The Database 00:09:00 Resources Resources - Learn Website Hacking From Scratch 00:00:00

Get a good grasp of what Social Learning and Digital Citizenship is all about There are somethings that can only be taught from be in a public surrounding, by being social. In this modern world, technologies are vastly improving everyday, people get most of the information online. In this course you will be looking into both Social Learning and Digital Citizenship. Social learning combines cognitive learning (which posits that learning is influenced by psychological factors) and behavioral learning (which assumes that learning is based on responses to environmental stimuli). Digital Citizenship is a concept which helps teachers, technology leaders and parents to understand what students/children/technology users should know to use technology appropriately. Digital Citizenship is more than just a teaching tool; it is a way to prepare students/technology users for a society full of technology. In this course you will learn all about social learning and people learn from their surroundings and other people's behavior. You will also have a grasp of digital citizenship and keep yourself up to date with modern technology. Get both the sides in this helpful course. Course Highlights Certified Social Learning and Digital Citizenship Course is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Certified Social Learning and Digital Citizenship Course into several modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 20/30 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Certified Social Learning and Digital Citizenship Course Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Entrepreneurs, students, adventurers, the dreamers or individuals who are interested in learning the techniques of goal setting. Certified Social Learning and Digital Citizenship Course is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Certified Social Learning and Digital Citizenship Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Social Learning Module One - Getting Started 00:30:00 Module Two - Setting the Right Group Dynamic (I) 01:00:00 Module Three - Setting the Right Group Dynamic (II) 01:00:00 Module Four - Develop a Social Learning Culture at Work (I) 00:30:00 Module Five - Develop a Social Learning Culture at Work (II) 01:00:00 Module Six - Develop a Culture of Social Learning at Work (III) 01:00:00 Module Seven - Role Playing (I) 01:00:00 Module Eight - Role Playing (II) 00:30:00 Module Nine - Utilizing the Right Tools (I) 01:00:00 Module Ten - Utilizing the Right Tools (II) 00:30:00 Module Eleven - Modeling and Observational Learning 01:00:00 Module Twelve - Wrapping Up 01:00:00 Activities 00:00:00 Digital Citizenship Module One - Getting Started 01:00:00 Module Two - What Is Digital Citizenship 00:30:00 Module Three - Being a Good Citizen 01:00:00 Module Four - Best Practices for Sharing 00:30:00 Module Five - Networking and Personal Branding (I) 01:00:00 Module Six - Networking and Personal Branding (II) 00:30:00 Module Seven - Digital Security and Safety (I) 01:00:00 Module Eight - Digital Security and Safety (II) 01:00:00 Module Nine - Dealing with the Dark side 01:00:00 Module Ten - Digital Etiquette (I) 01:00:00 Module Eleven - Digital Etiquette (II) 01:00:00 Module Twelve - Wrapping Up 01:00:00 Accredited Course in Digital Citizenship - Activities 00:00:00 Mock Exam Final Exam

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics 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 Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

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Overview This comprehensive course on 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 Machine Learning with Python 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 Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our 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 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 4 sections • 21 lectures • 01:34:00 total length •Introduction to types of ML algorithm: 00:02:00 •SVM - Python Implementation: 00:06:00 •Introduction to types of ML algorithm: 00:02:00 •Importing a dataset in python: 00:02:00 •Resolving Missing Values: 00:06:00 •Managing Category Variables: 00:04:00 •Training and Testing Datasets: 00:07:00 •Normalizing Variables: 00:02:00 •Normalizing Variables - Python Code: 00:03:00 •Summary: 00:01:00 •Simple Linear Regression - How it works?: 00:04:00 •Simple Linear Regreesion - Python Implementation: 00:07:00 •Multiple Linear Regression - How it works?: 00:01:00 •Multiple Linear Regression - Python Implementation: 00:09:00 •Decision Trees - How it works?: 00:05:00 •Random Forest - How it works?: 00:03:00 •Decision Trees and Random Forest - Python Implementation: 00:04:00 •kNN - How it works?: 00:02:00 •kNN - Python Implementation: 00:10:00 •Decision Tree Classifier and Random Forest Classifier in Python: 00:10:00 •SVM - How it works?: 00:04:00

This Certificate in Employability Skills - Level 2 course is designed for students who want to improve their employability skills and prepare for the world of work. This Certificate in Employability Skills - Level 2 course aims to help learners develop and improve skills required for the workplace and increase learners' confidence and communication skills to prepare them for employment or a change in employment. This Certificate in Employability Skills - Level 2 course will make you more aware of what employers are currently looking for when hiring new employees and how you can make the most of your technical qualifications, skills, experience, and personal qualifications when applying for jobs. Apart from technical qualifications, the Certificate in Employability Skills - Level 2course considers a variety of generic skills and capabilities that employers look for. Learning Outcomes After completing this Certificate in Employability Skills - Level 2 course, you will be able to: Understand a Mindset that can improve employability. Know how to deal with your first days at work. Recognise the key motivators and de-motivators that impact work situations. Understand how to set your targets. Understand how to manage time. Know how to present yourself. Know how to solve problems in a place of work. Recognise creative thinking. Know how to work in a team. Know how to deal with conflict. Gain a solid understanding of health, safety and security in the place of work. Why Choose Level 2 Certificate in Employability Skills Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Certificate in Employability Skills - Level 2 Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the Certificate in Employability Skills - Level 2 course. ***Courses are included in this Certificate in Employability Skills - Level 2 Course Course 01: Certificate in Employability Skills - Level 2 Course 02: Level 4 Time Management Course Course 03: Communication Skills Course ***Other Benefits of Certificate in Employability Skills - Level 2 Course Free 3 PDF Certificate Lifetime Access Free Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing the Certificate in Employability Skills - Level 2 course] Detailed course curriculum Module 01: Understanding Mindset Module 02: Dealing with Your First Days at Work Module 03: Understanding Motivation Module 04: Setting Your Targets Module 05: Managing Your Time Module 06: Presenting Yourself Module 07: Problem Solving in a Place of Work Module 08: Creative Thinking Module 09: Understanding Risk Module 10: Working in a Team Module 11: Dealing with Conflict Module 12: Health, Safety and Security in the Place of Work ------------------ Assessment Method After completing each module of the Certificate in Employability Skills - Level 2 Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Certificate in Employability Skills - Level 2 course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Certificate in Employability Skills - Level 2 course is ideal for people looking for employment or a change in employment. Requirements There are no specific requirements for this Certificate in Employability Skills - Level 2 course because it does not require any advanced knowledge or skills. Certificates Certificate of completion Digital certificate - Included

The Computer Science and Programming Diploma course covers the fundamental theories of Algorithm Analysis. If you want to explore the concepts and methods that make a good programmer, then the course is designed for you. Programming is all about how to solve a problem. Programming theory is not confined to a single language; rather it applies to all programming languages. By understanding the right programming theory, you will be able to analyse a problem and also able to find out the probable solution. The course teaches you these Programming theories covering Algorithm analysis, Binary Number System, Arrays and their Advantages, the process of analysing a problem, Nodes and their Importance, various sorting algorithms and their comparisons, and more. Upon completion, you will be able to understand the core theories of computer science. What Will I Learn? Understand the Fundamental Theories of Algorithm Analysis Be able to Compare Various Algorithms Understand When to use Different Data Structures and Algorithms Understand the Fundamentals of Computer Science theory Requirements A Willingness to Learn New Topics! No Prior Experience or Knowledge is Needed! Module: 01 Kurt Anderson - 1 Introduction FREE 00:01:00 Kurt Anderson - 2 Binary System FREE 00:11:00 Kurt Anderson - 3 Complexity Introduction 00:02:00 Kurt Anderson - 4 Math Refresher Logarithmic Functions 00:11:00 Kurt Anderson - 5 Math Refresher Factorial Functions.TS 007 00:03:00 Kurt Anderson - 6 Math Refresher Algebraic Expressions.TS 00:03:00 Kurt Anderson - 7 n-notation 00:19:00 Kurt Anderson - 8 Big O 00:13:00 Kurt Anderson - 9 Big O Real World Example 00:10:00 Module: 02 Kurt Anderson - 10 How is Data Stored 00:09:00 Kurt Anderson - 11 Fixed Arrays 00:20:00 Kurt Anderson - 12 Circular Arrays 00:08:00 Kurt Anderson - 13 Dynamic Arrays 00:16:00 Kurt Anderson - 14 Array Review 00:08:00 Kurt Anderson - 15 Array Real World Examples 00:06:00 Kurt Anderson - 16 Linked List 00:12:00 Kurt Anderson - 16 Nodes 00:04:00 Kurt Anderson - 17 Linked List Run Times 00:15:00 Kurt Anderson - 18 Doubly Linked Lists 00:08:00 Kurt Anderson - 19 Tail Pointer 00:05:00 Module: 03 Kurt Anderson - 20 Linked List Real World Examples 00:03:00 Kurt Anderson - 20 Stack Example 00:11:00 Kurt Anderson - 21 Linked List Review 00:04:00 Kurt Anderson - 22 Stacks 00:10:00 Kurt Anderson - 23 Queues 00:09:00 Kurt Anderson - 24 Queue Examples 00:10:00 Kurt Anderson - 25 Queue and Stack Run Times 00:06:00 Kurt Anderson - 26 Stack and Queues Real World Examples 00:07:00 Kurt Anderson - 27 Sorting Algorithm Introdcution 00:02:00 Kurt Anderson - 28 Bubble Sort 00:10:00 Kurt Anderson - 29 Selection Sort 00:10:00 Module: 04 Kurt Anderson - 30 Insertion Sort 00:09:00 Kurt Anderson - 31 Quick Sort 00:15:00 Kurt Anderson - 32 Quick Sort Run Times 00:10:00 Kurt Anderson - 33 Merge Sort 00:12:00 Kurt Anderson - 34 Merge Sort Run Times 00:08:00 Kurt Anderson - 35 Stable vs Nonstable 00:07:00 Kurt Anderson - 36 Sorting Algorithm Real World Examples 00:04:00 Kurt Anderson - 37 Basics of Trees 00:08:00 Kurt Anderson - 38 Binary Search Tree 00:09:00 Kurt Anderson - 39 BST Run Times 00:08:00 Module: 05 Kurt Anderson - 40 Tree Traversals 00:13:00 Kurt Anderson - 41 Tree Real World Examples 00:05:00 Kurt Anderson - 42 Heap Introduction 00:04:00 Kurt Anderson - 43 Heap Step by Step 00:12:00 Kurt Anderson - 44 Heap Real World Examples 00:07:00 Kurt Anderson - 45 Thank You 00:01:00

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Let the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle illuminate your path to wisdom. The Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. 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