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 Math Tricks & Shortcuts will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Math Tricks & Shortcuts 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 Math Tricks & Shortcuts. It is available to all students, of all academic backgrounds. Requirements Our Math Tricks & Shortcuts 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 • 90 lectures • 14:24:00 total length •Lecture 1 Introduction: 00:02:00 •Lecture 2 Lines and Angles (Basics): 00:07:00 •Lecture 3 Parallel lines (Basics): 00:06:00 •Lecture 4 Practice Problems 1 (Lines and Angles): 00:06:00 •Lecture 5 Triangles (Basics): 00:11:00 •Lecture 6 Practice Problems 2 (angle sum and exterior angle Property): 00:10:00 •Lecture 7 Pythagoras Theorem: 00:13:00 •Lecture 8 Inequalities in Triangles: 00:06:00 •Lecture 9 Sine and Cosine Rule: 00:12:00 •Lecture 10 Median, Altitude, Angle bisector: 00:06:00 •Lecture 11 Practice Problems 3: 00:11:00 •Lecture 12 Properties of Medians: 00:09:00 •Lecture 13 Practice Problems 4: 00:07:00 •Lecture 14 Properties of Equilateral Triangles: 00:04:00 •Lecture 15 Some special Quadrilaterals: 00:08:00 •Lecture 16 Polygons-interior angles, diagonals etc.: 00:08:00 •Lecture 17 Angle Bisector Theorem: 00:07:00 •Lecture 18 Congruent Triangles: 00:06:00 •Lecture 19 Similar Triangles: 00:14:00 •Lecture 20 Practice Problems 5: 00:10:00 •Lecture 21 Circle: 00:10:00 •Lecture 22 Cyclic Quadrilateral _ Tangent to circle: 00:07:00 •Lecture 23 Areas of Parallelogram & Triangle 1: 00:10:00 •Lecture 24 Areas of Parallelogram _ Triangle 2: 00:10:00 •Lecture 25 Practice Problems based on Areas 1: 00:05:00 •Lecture 26 Practice Problems based on Areas 2: 00:12:00 •Lecture 27 Mensuration Formulae: 00:07:00 •Lecture 28 Practice problems on 2-d figures: 00:11:00 •Lecture 29 Assignment (Video) on 2 - d figure: 00:02:00 •Lecture 30 Areas related to the circle: 00:06:00 •Lecture 31 Practice questions on areas related to circle: 00:10:00 •Practice Test (Geometry): 00:02:00 •Lecture 32 What is Unit Digit: 00:04:00 •Lecture 33 How to find unit digit of numbers with exponents: 00:10:00 •Lecture 34 Practice Problems based on Unit Digit: 00:08:00 •Lecture 35 Simplifications based on Percentages: 00:11:00 •Lecture 36 Simplification based on Exponents: 00:12:00 •Lecture 37 Fastest method of finding square roots: 00:12:00 •Lecture 38 Fastest method of finding cube roots: 00:03:00 •Lecture 39 Simplification based on square and cube roots: 00:16:00 •Lecture 40 Simplification Problems: 00:26:00 •Lecture 41 Simplification problems Type 1: 00:08:00 •Lecture 42 Simplification problems Type 2: 00:08:00 •Lecture 43 Simplification problems Type 3: 00:08:00 •Lecture 44 Simplification problems Type 4: 00:07:00 •Lecture 45 Finding smallest and greatest from difficult exponents: 00:08:00 •Lecture 46 What is Digital sum: 00:05:00 •Lecture 47 How to apply Digital sum technique in different operations: 00:14:00 •Lecture 48 Simplification problems using Digital sum -1: 00:07:00 •Lecture 49 Simplification problems using Digital sum -2: 00:06:00 •Lecture 50 Resources download 1: 00:48:00 •Lecture 51 Problems based on persons, days, work and hours: 00:12:00 •Lecture 52 Short cut formulas for most common problems: 00:11:00 •Lecture 53 Problems based on Two Persons: 00:06:00 •Lecture 54 Problems based on three Persons: 00:10:00 •Lecture 55 Based on Efficiency: 00:13:00 •Lecture 56 Complex problems on Efficiency: 00:10:00 •Lecture 57 Fraction of work: 00:07:00 •Lecture 58 Leaving and Joining - 1: 00:06:00 •Lecture 59 Leaving and Joining - 2: 00:08:00 •Lecture 60 Men, women and boys: 00:05:00 •Lecture 61 Work and wages: 00:11:00 •Lecture 62 Resources download 1: 00:20:00 •Lecture 63 Basics of pipes and cisterns: 00:06:00 •Lecture 64 Pipes and cisterns - Type 1: 00:07:00 •Lecture 65 Pipes and cisterns - Type 2: 00:04:00 •Lecture 66 Pipes and cisterns - Type 3: 00:07:00 •Lecture 67 Pipes and cisterns - Type 4: 00:06:00 •Lecture 68 Pipes and cisterns - Type5: 00:05:00 •Lecture 69 Speed, Distance and Time Resources download: 00:32:00 •Lecture 70 Basic Concepts and simple problems: 00:10:00 •Lecture 71 Problems based on average speed: 00:07:00 •Lecture 72 Problems of finding Distance: 00:13:00 •Lecture 73 Practice Problems 1: 00:10:00 •Lecture 74 Practice Problems 2: 00:08:00 •Lecture 75 Practice Problems 3: 00:07:00 •Lecture 76 Boats and Streams: 00:18:00 •Lecture 77 Basics of Boats and streams: 00:10:00 •Lecture 78 Finding speed of boat or stream: 00:13:00 •Lecture 79 Problems based on finding Distance: 00:06:00 •Lecture 80 Latest Problems on Boat and cisterns: 00:11:00 •Lecture 81 Percentage Basics 1: 00:10:00 •Lecture 82 Percentage Basics 2: 00:04:00 •Lecture 83 Fractional Values of Percentages: 00:09:00 •Lecture 84 Simplification using fractional values of Percentages-1: 00:06:00 •Lecture 85 Simplification problems of Percentage 2: 00:05:00 •Lecture 86 Article for Resources: 00:24:00 •Lecture 87 Problems based on Marks in examination: 00:15:00 •Lecture 88 Problems based on Price and Quantity 1: 00:08:00 •Lecture 89 Problems based on Price and Quantity 2: 00:08:00
In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Making Fabioulous Pizza course will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Making Fabioulous Pizza course will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Making Fabioulous Pizza and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Making Fabioulous Pizza course is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Making Fabioulous Pizza course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path The Making Fabioulous Pizza will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Section 01: Introduction & overview Welcome! 00:04:00 Section 02: The elements of the dough The Water 00:04:00 The Flour 00:08:00 The Yeast 00:05:00 The Salt 00:02:00 Section 03: Kneading your dough Before we knead 00:02:00 Let's make some dough 00:19:00 The windowpane test 00:03:00 How to roll dough balls 00:04:00 Section 04: It's time to eat! Before we stretch and bake 00:02:00 Stretch & bake 00:12:00 Section 05: Toppings Tomato 00:05:00 Mozzarella 00:03:00 BONUS - Other toppings 00:04:00 Section 06: In conclusion Goodbye! 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
Take This Course £249.00 £14.00 1 year Level 3 Course Certificate Number of Units74 Number of Quizzes0 7 hours, 28 minutes Gift this course Description The Diploma in Adobe XD Design course is designed to teach the all-in-one UX/UI solution - Adobe XD for developing a real-world iPhone app. Adobe XD is a UX/UI solution that helps you to design websites, mobile apps and others. The course covers the essential tools and features of Adobe XD so that you can able to apply the skills in your real-world project. You will learn to apply Paper Prototyping techniques and able to create Interactive Prototype. The course also shows you the procedures of opening sketch, Photoshop and Illustrator files with Adobe XD. Finally, you will learn to collaborate with other developers using Zeplin & Avocode. After completing the course, you will learn to use Adobe XD and create a real world App in Adobe XD by following iOS Design guidelines. Entry Requirement: Beginner Designers UX Designers UI Designers Graphic Designers Web Designers Mobile App Designers Developers or Coders Anyone who wants to design User Interfaces or Websites or Mobile Apps Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of applying for NUS Extra Discount Card; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Curriculum Module: 01 Promo Video 00:03:00 What Is Adobe XD 00:07:00 Download And Install Adobe Xd 00:03:00 Why Adobe XD Is So Awesome - Talkinghead 00:04:00 Updates And Upcoming Features Xd 00:03:00 Adobe XD Interface Welcome Screen 00:03:00 Adobe Xd Top Nav Bar 00:02:00 Adoe Xd Interface Toolbar 00:02:00 Properties Panel Adoe Xd Interface 00:03:00 Xd Mac And Win Differences 00:05:00 First Assignment Simple One 00:08:00 Module: 02 Artboards and grids 00:08:00 Tools in xd 00:05:00 Rectangle tool to create buttons 00:07:00 Background and object blur 00:03:00 Ellipse tool 00:02:00 Basics of pen tool 00:03:00 Pen tool to creat Icons 00:06:00 Line tool 00:01:00 Text-tool 00:03:00 Colors Palettes 00:04:00 Color Gradients in Xd 00:06:00 Coolors.io 00:04:00 Masks in xd 00:06:00 Character styles in Xd 00:05:00 Creating and reusing symbols 00:07:00 Repeat grid 00:09:00 Common Shortcuts 00:06:00 Shortcut keys part2 00:08:00 Nested symbols in xd 00:06:00 Module: 03 S03L01 block-level design 00:12:00 S0302 Sketching First Design Idea-block Level Paper 00:08:00 S0303 First Paper Prototype- Adding Details 00:04:00 S0304 Vertical Horizontal Prototypes T Proto 00:09:00 S0305 Level Of Fidelity and prototypes 00:00:00 S0306 adding details to your block design 00:08:00 S0307 using ui design patterns 00:04:00 S0308 creating signup ios screen EXERCISE 00:14:00 Module: 04 S0401 Design preparations 00:05:00 S0402 Color scheme and insprations 00:05:00 S0403 Solving UX problems of old app 00:04:00 S0404 Welcome Screen design 00:10:00 S0405 designing the login screen 00:14:00 S0406 login-activated 00:12:00 S0407 Signup Screen 00:07:00 S0408 dashboard design part 1 00:12:00 S0409 dashboard design part 2 00:11:00 S0410 Sidebar Navigation 00:09:00 S0411 actitivies screen 00:11:00 S0412 sync screen 00:08:00 S0413 sync status update 00:04:00 S0414 using grids to improve designs further 00:05:00 S0415 refining style guides 00:08:00 S0416 IOS Design guidelines 00:09:00 Module: 05 S0501 fixing tap targets 00:06:00 S0502 prototype login and signup screens 00:10:00 S0503 prototyping dashboards and other screens 00:11:00 S0504 sharing prototype with others 00:04:00 S0505 recording prototype on mac 00:02:00 S0506 design Inspect beta 00:04:00 Module: 06 S0601 why to export in 1x 2x 3x 00:09:00 S0602 Perfect example of 1x 2x 3x 00:03:00 S0603 export artboards to create mockups 00:08:00 S0604 batch export 00:06:00 Module: 07 S0701 Live Preview Your App On Iphone 00:02:00 S0702 Developer handoff with Zeplin 00:13:00 S0703 Developer Handoff using Avocode 00:14:00 S0704 open sketch-psd-illustrato import 00:08:00 Module: 08 XD updtaes april may 2018 00:04:00 1st Exercise Asssignment-1 00:03:00 Second Assignment-1 00:03:00 Third Last Assinment - Google Drive 00:03:00 Resources Resources - Diploma In Adobe XD Design 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
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By mastering Criminal Law, you'll be prepared to navigate the complexities of law in crucial situations. This course will strengthen your understanding of various branches of law, including criminal law, and how they interact within the broader legal framework. Enrol in this Criminal Law Diploma to enhance your career prospects and gain the confidence to handle any law-related challenges. With this diploma, you'll be well-equipped to make a significant impact in the field of Criminal Law and beyond. Along with this Criminal Law and Criminology Diploma, you will get 10 premium courses, an original hardcopy certificate, a transcript and a student ID card. Courses are included in this Criminal Law and Criminology Diploma? 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PDF Certificate: Free (Previously it was £9.99*11 = £109) Hard Copy Certificate: Free (For The Title Course: Previously it was £14.99) Requirements There is no time limit for completing this Criminal Law and Criminology Diploma, it can be studied in your own time at your own pace. Career path Detectives. Crime Journalists. Crime Reporters. Lawyers. Psychologists and Counsellors. Certificates Digital certificate - Included Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Criminal Law and Criminology Diploma) absolutely Free! Other Hard Copy certificates are available for £14.99 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
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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