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Overview This comprehensive course on Node.JS 2021 Level 3 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Node.JS 2021 Level 3 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 Node.JS 2021 Level 3. It is available to all students, of all academic backgrounds. Requirements Our Node.JS 2021 Level 3 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 5 sections • 38 lectures • 02:00:00 total length •Module 01: Introduction: 00:02:00 •Module 01: Introduction: 00:01:00 •Module 02: What's & Why Node.js?: 00:07:00 •Module 03: Installation: 00:01:00 •Module 04: First Node.js app: 00:12:00 •Module 05: Mechanism of Node.js: 00:07:00 •Module 06: Event Loop: 00:09:00 •Module 07: Loop tick: 00:04:00 •Module 08: Modules: 00:07:00 •Module 01: Introduction: 00:01:00 •Module 02: JSON format: 00:03:00 •Module 03: Callback pattern 1: 00:05:00 •Module 04: Callback pattern 2: 00:03:00 •Module 05: Callback hell: 00:01:00 •Module 06: Promises pattern 1: 00:02:00 •Module 07: Promises pattern 2: 00:02:00 •Module 08: Master promises 1: 00:03:00 •Module 09: Master promises 2: 00:05:00 •Module 10: async/await pattern 1: 00:02:00 •Module 11: async/await pattern 2: 00:02:00 •Module 12: Promisify a function: 00:03:00 •Module 01: Introduction: 00:01:00 •Module 02: Event emitter I: 00:03:00 •Module 03: Event emitter II: 00:02:00 •Module 04: Event emitter III: 00:03:00 •Module 05: File system I: 00:02:00 •Module 06: File system II: 00:01:00 •Module 07: File system III: 00:04:00 •Module 08: Streams I: 00:03:00 •Module 09: Streams II: 00:02:00 •Module 10: Path I: 00:02:00 •Module 11: Path II: 00:02:00 •Module 12: Path III: 00:02:00 •Module 01: Introduction: 00:01:00 •Module 02: package.json file: 00:01:00 •Module 03: Commands I: 00:02:00 •Module 04: Commands II: 00:03:00 •Module 05: Commands III: 00:04:00

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.

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.

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

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.

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.

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

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 00:04:00 Who We Are. 00:05:00 Software Installation Note 00:00:00 Light Emitting Diode (LED) Interfacing Interfacing a Light Emitting Diode (LED) 00:08:00 LED Interfacing Explained with Example 00:08:00 LED Interfacing Practical 00:08:00 Switch Interfacing Switch Interfacing 00:08:00 LDR Interfacing LDR Interfacing 00:05:00 Pizeo Sound Tone Interfacing Pizeo Sound Tone Interfacing 00:07:00 LCD Display Interfacing LCD Display Interfacing 00:12:00 What is LCD Display 00:08:00 What is MikroC Pro and How to Download and Install it 00:11:00 What is PICSimlab Alternative Simulation Software 00:05:00 LCD Library and Routines 00:08:00 LCD Initialization 00:08:00 LCD Output to Display Text on LCD 00:07:00 LCD Character Output Routine 00:03:00 LCD Commands And How To Deal With Them 00:06:00 How to Use PICSimLab Simulation Boards with MikroC 00:10:00 LCD Simulation 00:10:00 LCD Shift Text 00:05:00 7 Segment Display Interfacing 7 Segment Display Interfacing 00:09:00 7 Segment Display Interfacing Practical Lesson with Coding 00:09:00 Interfacing a Transistor Interfacing a Transistor 00:05:00 Darlington Driver IC Interfacing Darlington Driver IC Interfacing 00:07:00 Buzzer Interfacing Buzzer Interfacing 00:03:00 Relay Interfacing Relay Interfacing 00:07:00 Download and Install Software Section Download And Install Proteus Software Free 00:11:00 Download and Install MikroC Software 00:11:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00