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With this course, you will learn the bare-bone basics of C# by building console applications from scratch. You will first develop the application and then test it to gain a solid understanding of C# fundamentals. You will also explore the latest features released in C# 7.

Highlights of the Course Course Type: Online Learning Duration: 28 Hours 44 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about ethical hacking and network security Understand the core competencies and principles of ethical hacking and network security Explore the various areas of ethical hacking and network security Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert ethical hacker Ethical Hacking Masterclass Course Master the skills you need to propel your career forward in ethical hacking and network security. This course will equip you with the essential knowledge and skillset that will make you a confident ethical hacker and take your career to the next level. This comprehensive ethical hacking masterclass course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this ethical hacking masterclass course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective ethical hacking and network security practice and equip you with the essential skills, confidence and competence to assist you in the ethical hacking and network security industry. You'll gain a solid understanding of the core competencies required to drive a successful career in ethical hacking and network security. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for ethical hacker or for people who are aspiring to specialise in ethical hacking and network security. Enrol in this ethical hacking masterclass course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive ethical hacking masterclass course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this ethical hacking and network security can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This ethical hacking masterclass course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This ethical hacking masterclass course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This ethical hacking masterclass course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Introduction To The Course 00:05:00 VirtualBox Installation 00:16:00 Kali Linux Installation 00:14:00 Enabling Full-Screen 00:18:00 Basic Linux Commands Basic Commands Part 1 00:10:00 Basic Commands Part 2 00:21:00 Basic Commands Part 3 00:13:00 Creating a Secure Hacking Environment Changing IP Address And Wireless Adapter Setup 00:05:00 Creating A Bootable Kali USB Drive 00:05:00 Essential Networking Terms 00:10:00 Essential Hacking Terms 00:18:00 Additional Kali Tools To Install 00:08:00 Changing our MAC Address With Macchanger 00:06:00 Footprinting Google Hacking 00:13:00 Nikto Basics 00:11:00 Whois Tool 00:07:00 Email Harvesting 00:06:00 Shodan 00:10:00 Zone Transfer With Dig 00:07:00 Scanning Installing Metasploitable 00:07:00 Nmap Part 1 00:16:00 Nmap Part 2 00:12:00 Nmap part 3 00:12:00 Zenmap 00:08:00 Nmap Bypassing Defenses 00:17:00 Nmap Bypassing Defenses 00:17:00 Nmap Scripts Part 1 00:09:00 Nmap Scripts Part 2 00:14:00 Website Penetration Testing Installing OWASP 00:08:00 HTTP Request 00:10:00 HTTP Response 00:10:00 Burpsuite Configuration 00:13:00 Editing Packets In Burpsuite 00:12:00 Whatweb And Dirb 00:10:00 Password Recovery Attack 00:16:00 Burpsuite Login Bruteforce 00:11:00 Hydra Login Bruteforce 00:09:00 Session Fixation 00:14:00 Injection Attacks 00:06:00 Simple Command Injection 00:11:00 Exploiting Command Injection Vulnerability 00:08:00 Finding Blind Command Injection 00:14:00 SQL Basics 00:10:00 Manual SQL Injection Part 1 00:13:00 Manual SQL Injection Part 2 00:21:00 SQLmap Basics 00:17:00 XML Injection 00:16:00 Installing XCAT And Preventing Injection Attacks 00:06:00 Reflected XSS 00:11:00 Stored XSS 00:12:00 Changing HTML Code With XSS 00:07:00 XSSer And XSSsniper 00:14:00 Wireless Cracking Wireless Attacking Theory 00:11:00 Enabling Monitor Mode 00:05:00 Capturing Handshake With Airodump 00:15:00 RockYou.txt 00:14:00 Cracking With Aircrack 00:16:00 Cracking With Hashcat 00:15:00 Creating Password Lists With Crunch 00:18:00 Creating Password Lists With Cupp 00:07:00 Rainbow Tables Part 1 00:17:00 Rainbow Tables Part 2 00:06:00 Installing Fluxion 00:06:00 Finding And Cracking Hidden Networks 00:08:00 Preventing Wireless Attacks 00:08:00 Man in the Middle Attacks ARP Protocol Basics 00:10:00 Man In The Middle Attack Theory 00:07:00 Installing MITMf 00:07:00 Manual ARP Spoofing 00:13:00 Problems While Installing MITMf 00:06:00 HTTP Traffic Sniffing 00:08:00 DNS Spoofing And HTTPS Password Sniffing 00:24:00 Hooking Browsers With BEEF 00:16:00 Screenshotting Targets Browser 00:11:00 Cloning Any Webpage 00:09:00 Ettercap Basics 00:07:00 System Hacking with Metasploit MSFconsole Environment 00:16:00 Bruteforcing SSH With Metasploit 00:15:00 Attacking Tomcat With Metasploit 00:09:00 Getting Meterpreter With Command Injection 00:25:00 PHP Code Injection 00:06:00 2 Metasploitable Exploits 00:07:00 Wine Installation 00:12:00 Creating Windows Payloads With Msfvenom 00:10:00 Encoders And Hex Editor 00:19:00 Windows 10 Meterpreter Shell 00:12:00 Meterpreter Environment 00:11:00 Windows 10 Privilege Escalation 00:11:00 Preventing Privilege Escalation 00:06:00 Post Exploitation Modules 00:14:00 Getting Meterpreter Over Internet With Port Forwarding 00:11:00 Eternalblue Exploit 00:20:00 Persistence Module 00:13:00 Hacking Over The Internet With Ngrok 00:10:00 Android Device Attack With Venom 00:10:00 Python Crash Course Variables 00:14:00 Raw Input 00:11:00 If-Else Statements 00:10:00 For Loops 00:06:00 While Loops 00:08:00 Python Lists 00:08:00 Functions 00:15:00 Classes 00:10:00 Importing Libraries 00:07:00 Files In Python 00:12:00 Try And Except Rule 00:05:00 Coding an Advanced Backdoor Theory Behind Reverse Shells 00:07:00 Simple Server Code 00:13:00 Connection With Reverse Shell 00:07:00 Sending And Receiving Messages 00:11:00 Sending Messages With While True Loop 00:08:00 Executing Commands On Target System 00:10:00 Fixing Backdoor Bugs And Adding Functions 00:20:00 First test Using Our Backdoor 00:18:00 Trying To Connect Every 20 Seconds 00:12:00 Creating Persistence Part 1 00:06:00 Creating Persistence Part 2 00:17:00 Changing Directory 00:12:00 Uploading And Downloading Files 00:22:00 Downloading Files From The Internet 00:23:00 Starting Programs Using Our Backdoor 00:07:00 Capturing Screenshot On The Target PC 00:19:00 Embedding Backdoor In An Image Part 1 00:13:00 Embedding Backdoor In An Image Part 2 00:09:00 Checking For Administrator Privileges 00:12:00 Adding Help Option 00:09:00 Creating a Keylogger for the Backdoor Importing Pynput 00:10:00 Simple keylogger 00:10:00 Adding Report Function 00:11:00 Writing Keystrokes To A File 00:14:00 Adding The Keylogger To Our Reverse Shell Part 1 00:23:00 Adding The Keylogger To Our Reverse Shell Part 2 00:08:00 Final Project Test 00:14:00 Basic Authentication Bruteforcer Printing Banner 00:11:00 Adding Available Options 00:11:00 Writing Function To Run The Attack 00:11:00 Bruteforcing Router Login 00:10:00 Bypassing Antivirus With Your Future Programs 00:14:00 Sending Malware With Spoofed Email 00:15:00 Bonus - Building a Career in Cyber Security What Will You Learn In This Section 00:03:00 Why Is Ethical Hacking A Valuable Skill 00:23:00 What Is The Best Ethical Hacking Certification 00:17:00 Tips For Getting Your First Job As An Ethical Hacker 00:18:00 How I Started My Career As An Ethical Hacker 00:14:00 How To Price Your Work 00:11:00 Assessment Assessment - Ethical Hacking Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Unlock the power of Ansible in DevOps with this in-depth video course. From beginner to expert, this course covers everything you need to know about Ansible, accompanied by hands-on exercises that you can practice right in your browser. No prior experience needed.

Through this course, you will learn to transform yourself from a passive learner who watches to one who sees the process of learning for what it truly is-a mechanism to better oneself. You will build 40 amazing applications to master the concepts of computer science and Python programming.

Duration 5 Days 30 CPD hours This course is intended for IT professionals across a broad range of disciplines who need to perform essential Linux administration tasks including installation, establishing network connectivity, managing physical storage, and basic security administration. This course relates to Red Hat Enterprise Linux 7 and is designed for IT pros without previous Linux admin experience. The course focuses on providing students with Linux admin 'survival skills' by focusing on core admin tasks. Access the command line Log in to a Linux system and run simple commands using the shell. Manage files from the command line Copy, move, create, delete, and organize files from the bash shell prompt. Getting help in Red Hat Enterprise Linux Resolve problems by using online help systems and Red Hat support utilities. Create, view, and edit text files Create, view, and edit text files from command output or in an editor Manage local Linux users and groups Manage local Linux users and groups, and administer local password policies. Control access to files with Linux file system permissions Set Linux file system permissions on files and interpret the security effects of different permission settings. Monitor and manage Linux processes Obtain information about the system, and control processes running on it. Control services and daemons Control and monitor network services and system daemons using systemd. Configure and secure OpenSSH service Access and provide access to the command line on remote systems securely using OpenSSH. Analyze and store logs Locate and accurately interpret relevant system log files for troubleshooting purposes. Manage Red Hat Enterprise Linux networking Configure basic IPv4 networking on Red Hat Enterprise Linux systems. Archive and copy files between systems Archive files and copy them from one system to another. Install and update software packages Download, install, update, and manage software packages from Red Hat and yum package repositories. Access Linux file systems Access and inspect existing file systems on a Red Hat Enterprise Linux system. Use virtualized systems Create and use Red Hat Enterprise Linux virtual machines with KVM and libvirt.

Description: The 70-410 - Installing and Configuring Windows Server 2012 R2 (MCSA/MCSE) course teaches you how to install and configure Windows Server 2012 R2. You will learn the basics of the server, server 2012 management, working with server core, and PowerShell examples for user management. Throughout the course, you will learn the system of configuring local storage. The method of file shares and permissions and configure print and document services will also be taught in the course. Apart from these, you will able to know about remote management and virtualization. The course also includes discussion on the components of network infrastructure, TCP/IP diagnostics and IPv6 over IPv4 tunneling. Finally, you will learn about the DHCP, DNS, Active Directory domain services and Windows security. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. 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. Who is this Course for? 70-410 - Installing and Configuring Windows Server 2012 R2 (MCSA/MCSE) training is certified by CPD Qualifications Standards and CiQ. 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 background. Requirements Our 70-410 - Installing and Configuring Windows Server 2012 R2 (MCSA/MCSE) training 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 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. Server 2012 Overview On Premise vs Cloud FREE 00:30:00 Windows Server Installation 00:09:00 Windows Activation 00:15:00 Windows Server 2012 Management Server Manager 00:22:00 Working with Server Core Introduction to PowerShell 00:33:00 PowerShell Examples for User Management 00:12:00 Configuring Local Storage Key Features of Storage 00:45:00 Configure Basic Disks 00:19:00 Configure File and Print Access File Shares and Permissions 00:25:00 Configure Print and Document Services 00:10:00 Remote Management and Virtualization Remote Management 00:22:00 Virtualization 00:26:00 Differencing Disks 00:18:00 TCP/IP Protocol Suite Components of Network Infrastructure 00:52:00 TCP_IP Diagnostics 00:51:00 IPv6 Over IPv4 Tunneling 00:08:00 DHCP and DNS DNS 00:41:00 DHCP 00:22:00 Overview of Active Directory Domain Services Physical Components of Active Directory 00:59:00 Operations Master Roles 00:29:00 The AD DS Logon Process 00:13:00 User Accounts 00:50:00 Computer Accounts 00:22:00 Windows Security Windows Security 00:18:00 Group Policy 00:21:00 Software Restriction Policies 00:04:00 Windows Firewall 00:09:00 Mock Exam Mock Exam- 70-410 - Installing and Configuring Windows Server 2012 R2 (MCSA/MCSE) 00:20:00 Final Exam Final Exam- 70-410 - Installing and Configuring Windows Server 2012 R2 (MCSA/MCSE) 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Why 3ds max and V-Ray Training Course? This course is ideal for 3D artists and professionals in various industries seeking advanced rendering skills. If you work with 3ds Max and want to master superior photorealistic rendering using V-Ray, this course is tailored for you. V-Ray, a third-party engine compatible with 3ds Max,  Click here for more info: Website Duration: 10 hours. Approach: Personalized 1-on-1 Sessions and Flexible Learning. Scheduling Flexibility: Mon to Sat between 9 am and 7 pm. Choose your own day and time. 10-hour Vray for 3ds Max Training Course Outline: Module 1: Introduction to Vray for 3ds Max (2 hours) What is Vray and its integration with 3ds Max? Installation and setup of Vray for 3ds Max Understanding Vray interface and workflow Overview of Vray materials Module 2: Lighting with Vray (2 hours) Various lighting techniques in Vray Types of Vray lights and their configurations Creating and managing Vray sun and sky Vray dome lighting and IES light usage Efficient lighting workflows in Vray Module 3: Vray Camera (2 hours) Understanding Vray camera settings Controlling exposure with Vray camera Working with Vray depth of field Creating Vray camera animations Utilizing Vray frame buffer Module 4: Vray Materials (2 hours) Understanding Vray material properties Creating realistic materials using Vray Building and storing custom Vray material libraries Implementing Vray material overrides Module 5: Vray Rendering and Post Production (2 hours) Overview of Vray rendering settings Rendering images and animations with Vray Post-production techniques in Photoshop Understanding and utilizing Vray frame buffer Compositing Vray render elements in Photoshop Working with Vray denoiser Modeling Techniques: Edit Poly Modeling Extrude, Chamfer, Cut, and Slices Symmetry Mirror Modeling Designing furniture and basic architectural models Lines, Shapes, and Plan Import from AutoCAD/Vectorworks Modifiers: Compound objects (Connect, Scatter, Pro Boolean, Loft, Terrain) Bend and Taper Basic Lights: Omni Light, Spot Light, Direct Light Camera Control: Free Camera, Target Camera Texturing and Rendering: Diffuse and Bump Mapping Environment and Background Images Advanced Rendering Techniques (Interior and Exterior Scenes) Vray Specifics: VRay Lights (Plane, Dome, Sphere, Sun, Shadow) VRay Camera Settings (Focal Length, Film Speed, Shutter Speed) VRay Materials (Diffuse Color, Reflection, Refraction, Blurry Reflections) Upon completing the 10-hour Vray for 3ds Max Training Course, participants will: Master Vray Integration: Understand setup, interface, and tools for effective usage. Excel in Vray Lighting Techniques: Learn diverse Vray lighting methods, enhancing scene realism. Vray Camera Control: Manipulate camera settings, exposure, and create dynamic animations. Vray Material Skills: Create realistic materials, manage libraries, and override material properties. Perfect Rendering and Post-Production: Optimize rendering, produce high-quality images, and enhance results in post-production. Advanced 3D Modeling Expertise: Develop complex shapes, utilize modifiers, and import plans effectively. Recommended Resources: "V-Ray My Way: A Practical Designer's Guide to Creating Realistic Imagery Using V-Ray & 3ds Max" by Lee Wylde "3ds Max Modeling for Games: Insider's Guide to Game Character, Vehicle, and Environment Modeling" by Andrew Gahan "Photoshop for 3D Artists, Volume 1" by 3DTotal Publishing Job Opportunities: Students can pursue careers as: 3D Visualization Artists: Creating realistic visuals for architecture, products, and entertainment. Game Designers: Developing game environments and assets for interactive experiences. Architectural Visualizers: Producing high-quality architectural renders for firms and clients. Product Designers: Crafting detailed product visualizations for marketing and prototyping. Freelance 3D Artists: Offering services on platforms like Upwork, catering to diverse client needs. Opportunities exist in architecture, gaming, animation, advertising, and freelancing. A strong portfolio and networking enhance job prospects. Skills Acquired: Vray Advanced Lighting: HDRI, Global Illumination Mastery. Vray Material Expertise: Shaders, Textures, Realistic Material Replication. Scene Optimization: Large-scale Scene Handling, Speed Optimization. Post-Production Skills: Vray and Photoshop Enhancement, Atmosphere Addition. Career Opportunities: Architectural Visualization Specialist Product Design Visualizer 3D Visualization Artist Freelance Rendering Expert In-House Rendering Consultant Learn the advanced Vray rendering skills, 1-on-1 training courses, boost your career prospects in architectural visualization, product design, and animation industries.  Download 3ds max. Autodesk Download a free 30 day trial of 3ds Max, 3D modelling and rendering software for design visualisation, games and animation to create with full artistic Download Vray V-Ray for 3ds max is an integral rendering software for SketchUp, enabling designers to experience their designs in real-time. Say Goodbye to Group Courses: Welcome to our Personalized Learning Experience! Why Choose Us? Our Course Benefits Include: ​ One-on-One Training: Experience personalized coaching from practicing architects and designers tailored exclusively for you. 1-on-1, Face to Face at (SW96DE) or Live online. Open: Monday to Saturday 9 am to 7 pm. Customized Tutorials: Take home bespoke video tutorials designed to enhance your learning journey. Comprehensive Resources: Receive a digital reference book for thorough revision, ensuring you grasp every concept. Free Ongoing Support: Enjoy continuous after-course support via phone or email, guaranteeing your success even after the class ends. Flexible Syllabus: We adapt syllabus and projects to match your needs, ensuring you learn precisely what matters most to you. Official Certificate: Certificate upon course completion. Why Us? Supported Individual Learning: Our courses, ranging from 10 hours to 120 hrs Diploma training Courses, offer unwavering support at every step. With personalized homework assignments and free after-course assistance, we pave the way to mastering software with unparalleled guidance. Personalized Attention, Not Crowded Classrooms: Bid farewell to crowded classrooms. 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Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00