197 Arithmetic courses in Leicester delivered Online

Duration 3 Days 18 CPD hours This course is intended for Blockchain Architects Blockchain DevelopersApplication Developers Blockchain System AdministratorsNetwork Security Architects Cyber Security ExpertsIT Professionals w/cyber security experience Overview Those who attend the Security for Blockchain Professionals course and pass the exam certification will have a demonstrated knowledge of:Identifying and differentiating between security threats and attacks on a Blockchain network.Blockchain security methods, best practices, risk mitigation, and more.All known (to date) cyber-attack vectors on the Blockchain.Performing Blockchain network security risk analysis.A complete understanding of Blockchain?s inherent security features and risks.An excellent knowledge of best security practices for Blockchain System/Network Administrators.Demonstrating appropriate Blockchain data safeguarding techniques. This course covers all known aspects of Blockchain security that exist in the Blockchain environment today and provides a detailed overview of all Blockchain security issues, including threats, risk mitigation, node security integrity, confidentiality, best security practices, advanced Blockchain security and more. Fundamental Blockchain Security Cryptography for the Blockchain Hash Functions Public Key Cryptography Elliptic Curve Cryptography A Brief Introduction to Blockchain The Blocks The Chains The Network Promises of the Blockchain Blockchain Security Assumptions Digital Signature Security Hash Function Security Limitations of Basic Blockchain Security Public Key Cryptography Review Real-Life Public Key Protection Cryptography and Quantum Computers Lab 1 (Tentative) Finding Hash Function Collisions Reversible hash function Hash function with poor non-locality Hash function with small search space Breaking Public Key Cryptography Brute Forcing a Short Private Key Brute Forcing a Poorly-Chosen Private Key Consensus in the Blockchain Blockchain Consensus and Byzantine Generals Blockchain Networking Review Byzantine Generals Problem Relation to Blockchain Byzantine Fault Tolerance Introduction to Blockchain Consensus Security Blockchain Consensus Breakthrough Proof of Work What is Proof of Work? How does Proof of Work Solve BGP? Proof of Work Security Assumptions Attacking Proof of Work Proof of Stake What is Proof of Stake? How does Proof of Stake Solve BGP? Proof of Stake Security Assumptions Attacking Proof of Stake General Attacks on Blockchain Consensus Other Blockchain Consensus Algorithms Lab 2 (Tentative) Attacking Proof of Work Performing a 51% Attack Performing a Selfish Mining Attack Attacking Proof of Stake Performing a XX% Attack Performing a Long-Range Attack Malleable Transaction Attacks Advanced Blockchain Security Mechanisms Architectural Security Measures Permissioned Blockchains Checkpointing Advanced Cryptographic Solutions Multiparty Signatures Zero-Knowledge Proofs Stealth Addresses Ring Signatures Confidential Transactions Lab 3 (Tentative) Permissioned Blockchains 51% on a Checkpointed Blockchain Data mining on a blockchain with/without stealth addresses Zero-Knowledge Proof Simulation Trying to fake knowledge of a ZKP Module 4: Blockchain for Business Introduction to Ethereum Security What is Ethereum Consensus in Ethereum Smart Contracts in Ethereum Ethereum Security Pros and Cons of Ethereum Blockchains Introduction to Hyperledger Security What is Hyperledger Consensus in Hyperledger Smart Contracts in Hyperledger Hyperledger Security Pros and Cons of Hyperledger Blockchains Introduction to Corda Security What is Corda Consensus in Corda Smart Contracts in Corda Corda Security Pros and Cons of Corda Blockchains Lab 4 Blockchain Risk Assessment What are the Risks of the Blockchain? Information Security Information Sensitivity Data being placed on blockchain Risks of disclosure Regulatory Requirements Data encryption Data control PII protection Blockchain Architectural Design Public and Private Blockchains Open and Permissioned Blockchains Choosing a Blockchain Architecture Lab 5 Exploring public/private open/permissioned blockchains? Basic Blockchain Security Blockchain Architecture User Security Protecting Private Keys Malware Update Node Security Configuring MSPs Network Security Lab 6 (TBD) Smart Contract Security Introduction to Smart Contracts Smart Contract Security Considerations Turing-Complete Lifetime External Software Smart Contract Code Auditing Difficulties Techniques Tools Lab 7 (Tentative) Try a couple of smart contract code auditing tool against different contracts with built-in vulnerabilities Module 8: Security Implementing Business Blockchains Ethereum Best Practices Hyperledger Best Practices Corda Best Practices Lab 8 Network-Level Vulnerabilities and Attacks Introduction to Blockchain Network Attacks 51% Attacks Denial of Service Attacks Eclipse Attacks Routing Attacks Sybil Attacks Lab 9 Perform different network-level attacks System-Level Vulnerabilities and Attacks Introduction to Blockchain System Vulnerabilities The Bitcoin Hack The Verge Hack The EOS Vulnerability Lab 10 Smart Contract Vulnerabilities and Attacks Introduction to Common Smart Contract Vulnerabilities Reentrancy Access Control Arithmetic Unchecked Return Values Denial of Service Bad Randomness Race Conditions Timestamp Dependence Short Addresses Lab 11 Exploiting vulnerable smart contracts Security of Alternative DLT Architectures What Are Alternative DLT Architectures? Introduction to Directed Acyclic Graphs (DAGs) DAGs vs. Blockchains Advantages of DAGs DAG Vulnerabilities and Security Lab 12 Exploring a DAG network

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now If you are looking for a handy skilled job that pays well and lets you work independently, becoming an electrician is one of the most reasonable choices! Due to the increasing infrastructures and our growing dependency on electricity, the electricity industry has become a promising field for job seekers. In the UK, you can earn up to £42K as a commercial electrician per year, and as a domestic electrician installer, you can earn almost £90k. The Electrical Training for Electrician course bundle is designed to provide individuals with a comprehensive understanding of electrical systems and the skills necessary to work as an electrician. The 11 courses in the bundle cover a wide range of topics, including electrical safety, circuit design, and wiring techniques. The courses also cover the types of wiring techniques used in residential, commercial, and industrial settings. Students will learn how to install and maintain electrical systems, including wiring for lighting, heating, and air conditioning systems. They will also learn about various electrical devices, such as switches, outlets, and circuit breakers. Begin your career as an electrician with our extensive Electrical Training bundle. Acquire knowledge of installing electrical equipment, troubleshooting and repairing electrical issues, and maintaining wiring systems. You will also learn about the important safety regulations, guidelines, and procedures that electricians must follow. At the end of this course, you will get to know the following: Introduction to electricity basics. How to use portable appliance testing training to inspect equipment for electrical safety (PAT). Introduction to refrigeration, HVAC safety, and heating, ventilation, and air conditioning (HVAC) Basics of installing and fixing HVAC systems in homes and businesses Single-phase metering, three-phase metering, single-phase metering, logic gates Protection for transformers and production of high-voltage AC at high-frequency. Learn everything there is to know about solar energy, including how to safeguard PV systems and install solar water pumps. Discover more about hydroelectric turbines, the basic hydroelectric power plant, and other topics. Courses are included in this Electrician Complete Skills Exclusive Bundle? Course 01: Electrical Technician Complete Training Course 02: Electric Power Metering for Single and Three Phase Systems Course 03: Digital Electric Circuits & Intelligent Electrical Devices Course 04: Smart Meter Installer Training Course 05: Level 3 Heating, Ventilation & Air Conditioning (HVAC) Technician Course 06: PAT Level 4 Course 07: Electronic & Electrical Devices Maintenance Course 08: Domestic Appliance Repairing Course Course 09: UK Standard Domestic Plumbing and Heating Installer Training Course 10: Advanced Electrical Safety Course 11: First Aid at Work Benefits you'll get choosing Apex Learning for this Electrician Complete Skills Exclusive Bundle: One payment, but lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Domestic Electrician expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Curriculum: Course 01: Electrical Technician Complete Training Module 01: Introduction and Basics Module 02: Electrical Units and Ohm's Laws Module 03: Direct Current Module 04: Alternating Current Basics Module 05: Voltage and Resistance Module 06: Capacitance and Capacitors Module 07: Magnetism Module 08: Safety Precautions Course 02: Electric Power Metering for Single and Three Phase Systems Module 01: Basic Metering Introduction Module 02: Power & Energy Module 03: AC Power Module 04: Instrumentation Module 05: Single Phase Metering Module 06: Instrument Transformers Module 07: Three Phase Metering Module 08: Cross Wattmeter Verification Course 03: Digital Electric Circuits & Intelligent Electrical Devices Module 01: Introduction Module 02: Numbering Systems Module 03: Binary Arithmetic Module 04: Logic Gates Module 05: Flip-Flops Module 06: Counters & Shift Registers Module 07: Adders Course 04: Smart Meter Installer Training Module 01: Introduction to Smart Meter Module 02: Designing of Smart Metering System Module 03: Install a Smart Meter Module 04: Meter Installation Guidelines Module 05: Smart Meter Cost and Benefit Analysis Module 06: Smart Metering Policy Guidelines Module 07: Smart Meters Act in the UK Course 05: Level 3 Heating, Ventilation & Air Conditioning (HVAC) Technician Module 01: Introduction to Heating, Ventilation & Air Conditioning (HVAC) Module 02: Heating Fundamentals and Psychrometrics Module 03: HVAC Systems Module 04: Heating and Ventilation Module 05: Air Conditioning Systems for HVAC Technicians Module 06: Compressors, Water Chillers, and Fans Module 07: Piping for HVAC Technician Module 08: Duct System in HVAC Module 09: Refrigeration and Refrigerants Module 10: Special Applications Module 11: HVAC System Selection Module 12: Safety in the HVAC Industry Course 06: PAT Level 4 Module 01: Introduction to PAT Module 02: Relevant Statutory Provisions for PAT Module 03: Risk Assessment Module 04: Reducing and Controlling Risks Module 05: Electrical Units and Appliance Classification Module 06: Initial Visual Examination Module 07: Instruments for Testing and Equipment Inspection Module 08: Electrical Installation Testing Module 09: Safety Precautions in Electrical Testing Module 10: Reporting and Record-keeping Course 07: Electronic & Electrical Devices Maintenance Section 1: Introduction & Getting Started Section 2: Electronic and Electrical maintenance Repair Section 3: Tools Needed Section 4: Electronic Components Section 5: Testing Section 6: Troubleshooting Section 7: Introduction to Electronic Components: A Step by Step Guide Course 08: Domestic Appliance Repairing Course Module 01: Introduction to Domestic Appliances Module 02: Repairing a Refrigerator Module 03: Repairing an Air Conditioner Module 04: Repairing a Washing Machine Module 05: Repairing a Washing Machine Module 06: Repairing a Water Heater Module 07: Repairing a Television Module 08: Repairing Electrical Wiring Module 09: Repairing Cooking Appliances Module 10: Repairing a Cloth Dryer Module 11: Safety Precautions during Repairing Appliances Course 09: UK Standard Domestic Plumbing and Heating Installer Training Module 01: Basic Components of Plumbing Module 02: Principles of Effective Plumbing Systems Module 03: The Plumbing Tools Module 04: The Plumbing Process Module 05: Central Heating Systems Module 06: Domestic Cold Water System Module 07: Domestic Hot Water System - Part 1 Module 08: Domestic Hot Water System - Part 2 Module 09: The Sanitation System and Repairs Module 10: Domestic Rainwater System Installation Module 11: Plumbing Projects: Case Study Module 12: UK Standards for Plumbing Course 10: Advanced Electrical Safety Module 1: Safety Precautions Module 2: Direct Current Module 3: Alternating Current Module 4: Voltage and Resistance Module 5: Capacitance and Capacitors Module 6: Working Safely with Electrical Equipment Module 7: Electrical Incidents Module 8: Risk Assessment Module 9: Reducing and Controlling Risks Module 10: Combined Inspection and Testing Course 11: First Aid at Work Introduction to Workplace First Aid Legal Framework for Workplace First Aid Incident Management at Work Primary Survey Secondary Survey Basic First-Aid Techniques Dealing With Fractures and Dislocations Secondary Illness Loss of Responsiveness and CPR Secondary Illness Breathing Problems Secondary Illnesses and Injuries Dealing with Minor Injuries at the Workplace Call for an Emergency CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is suitable for the following: Electricians working in the electrical industry. This course will benefit Electrical engineers as it provides a comprehensive understanding of electrical safety principles and regulations. Maintenance workers in the electrical industry will find this course to be valuable. Construction workers in the electrical industry. Safety and health professionals: safety and health professionals working in the electrical industry. Requirements This Domestic Electrician course has been designed to be fully compatible with tablets and smartphones. Career path Electrical training opens the door to a wide range of courses. Our course bundle will help the learners to pursue the following jobs: Electrician(Avg. Annual Salary:£18,000 to £42,000) Auto electrician(Avg. Annual Salary: £17,000 to £37,000) Lighting technician(Avg. Annual Salary: £15,000 to £40,000) Electricity distribution worker(Avg. Annual Salary: £21,000 to £35,000) Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Electrical Technician Complete Training) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now With a single payment you will gain access to Data Science Course Bundle 2022 including 10 Career development courses, original hardcopy certificate, transcript and a student ID card which will allow you to get discounts on things like music, food, travel and clothes etc. The world is one big data bank, and data science is one of the most demanding professional sectors of the present era. The analytical and programming-oriented field of data science has limited resources for candidates to learn and develop skills, which is why you need our highly advanced [course_title] course.With step-by-step interactive video content, our training will equip you with extensive knowledge and expertise in data science, including machine learning. This bundle course offers an opportunity to foster your career opportunities with an expert-level understanding of data science and become skilful in this industry. Take this course anywhere and at any time. Don't let your lifestyle limit your learning or your potential. Data Science Course Bundle 2022 will provide you with the CPD certificate that you'll need to succeed. Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd. Data Science Course Bundle 2022 has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. All of our courses have interactive online modules that allow studying to take place where and when you want it to. The only thing you need to take Data Science Course Bundle 2022 is Wi-Fi and a screen. You'll never be late for class again. Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Benefits you'll get choosing Apex Learning for this Course: One payment, but lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home What other courses are included with this Course? Level 2 Microsoft Office Essentials Microsoft Teams Leadership & Management Diploma Working from Home Essentials Mental Health and Working from Home Online Meeting Management Effective Communication Skills Time Management Report Writing Emotional Intelligence and Human Behaviour Curriculum ***Data Science Course Bundle 2022*** Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview Set-up the Environment for the Course (lecture 1) Set-up the Environment for the Course (lecture 2) Two other options to setup environment Python Essentials Python data types Part 1 Python Data Types Part 2 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) Python Essentials Exercises Overview Python Essentials Exercises Solutions Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. NumPy arrays, built-in methods, array methods and attributes. Indexing, slicing, broadcasting & boolean masking Arithmetic Operations & Universal Functions Exercises Overview Exercises Solutions Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. Pandas Introduction Pandas Data Structures - Series Pandas Data Structures - DataFrame Handling Missing Data Data Wrangling - Combining, merging, joining Groupby Useful Methods and Operations Project 1 (Overview) Customer Purchases Data Project 1 (Solutions) Customer Purchases Data Project 2 (Overview) Chicago Payroll Data Project 2 (Solutions Part 1) Chicago Payroll Data Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach Matplotlib Essentials - Exercises Overview Matplotlib Essentials - Exercises Solutions Python for Data Visualization using Seaborn Introduction & Installation Distribution Plots Categorical Plots (Part 1) Categorical Plots (Part 2) Axis Grids Matrix Plots Regression Plots Controlling Figure Aesthetics Exercises Overview Exercise Solutions Python for Data Visualization using pandas Pandas Built-in Data Visualization Pandas Data Visualization Exercises Overview Panda Data Visualization Exercises Solutions Python for interactive & geographical plotting using Plotly and Cufflinks Interactive & Geographical Plotting (Part 1) Interactive & Geographical Plotting (Part 2) Interactive & Geographical Plotting Exercises (Overview) Interactive & Geographical Plotting Exercises (Solutions) Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types….. Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff Linear Regression Model - Hands-on (Part 1) Linear Regression Model Hands-on (Part 2) Good to know! How to save and load your trained Machine Learning Model! Linear Regression Model (Insurance Data Project Overview) Linear Regression Model (Insurance Data Project Solutions) Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificity…etc. Logistic Regression Model - Hands-on (Part 1) Logistic Regression Model - Hands-on (Part 2) Logistic Regression Model - Hands-on (Part 3) Logistic Regression Model - Hands-on (Project Overview) Logistic Regression Model - Hands-on (Project Solutions) Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality …. K Nearest Neighbors - Hands-on K Nearest Neighbors (Project Overview) K Nearest Neighbors (Project Solutions) Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging…. Decision Tree and Random Forests - Hands-on (Part 1) Decision Tree and Random Forests (Project Overview) Decision Tree and Random Forests (Project Solutions) Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) Support Vector Machines - Hands-on (SVMs) Support Vector Machines (Project 1 Overview) Support Vector Machines (Project 1 Solutions) Support Vector Machines (Optional Project 2 - Overview) Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method ….. K Means Clustering - Hands-on K Means Clustering (Project Overview) K Means Clustering (Project Solutions) Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) Principal Component Analysis (PCA) - Hands-on Principal Component Analysis (PCA) - (Project Overview) Principal Component Analysis (PCA) - (Project Solutions) Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance Python for Recommender Systems - Hands-on (Part 1) Python for Recommender Systems - - Hands-on (Part 2) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) NLP-Challenges, Data Sources, Data Processing ….. Feature Engineering and Text Preprocessing in Natural Language Processing NLP - Tokenization, Text Normalization, Vectorization, BoW…. BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes … Pipeline feature to assemble several steps for cross-validation… How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There is no experience or previous qualifications required for enrolment on this Data Science Course Bundle 2022. It is available to all students, of all academic backgrounds. Requirements Our Data Science Course Bundle 2022 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having this CPD certificate will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Certificates Certificate of completion Digital certificate - Included

Overview of MySql Masterclass The digital world has changed how businesses work in the UK, and database management is now a key part of every successful company. MySQL is one of the most popular tools for this job, used by over 40% of websites around the world. In the UK, big names like BBC, Sky, and many tech startups in London’s Silicon Roundabout rely on MySQL. The MySql Masterclass is designed to help people learn the skills needed to build a strong career in this growing field. Database experts in the UK earn an average salary of £45,000 each year, making it a smart career choice. The MySql Masterclass has 41 helpful modules that start with the basics and move up to more advanced topics. Students will learn how to create databases, write MySQL commands, use joins, and manage stored procedures. The course also teaches how to make systems run faster and safer with performance and security tools. Other important topics include handling JSON data, using full-text search, and working with replication. These are all things that modern companies look for in a database specialist. This MySql Masterclass is made for beginners and gives them the knowledge they need to handle real business databases. It helps students build strong skills in design, optimisation, and administration. The UK’s tech industry is worth £150 billion a year, and the MySql Masterclass helps learners get ready for job opportunities in many areas like retail, health, and finance. Learning Outcomes By the end of the MySql Masterclass, learners will be able to: Build and manage MySQL databases from the ground up Use SELECT, INSERT, UPDATE, and DELETE commands with confidence Work with advanced joins, unions, and stored procedures Design and use indexes, views, and full-text search for better performance Set up MySQL replication, backups, and basic system administration Handle JSON data and manage time zone settings within databases Who is this course for? Aspiring Database Administrators who want full MySQL training to manage databases, user access, and backups in organisations needing strong data systems. Software Developers who want to improve their backend development by learning MySQL queries, stored procedures, and database performance skills. Data Analysts who need advanced SQL to pull useful data from complex tables using joins, group functions, and reporting tools. IT Professionals looking to build database knowledge, including how to configure, tune, and fix issues in MySQL systems. Career Changers with little or no tech background who want to start in database roles, learning from the basics to advanced MySQL tasks. Process of Evaluation After studying the MySql Masterclass Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the MySql Masterclass Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don’t need any educational qualification or experience to enrol in the MySql Masterclass course. Career Path Completing this MySql Masterclass course could lead to rewarding jobs like: Database Administrator – £35K to £65K per year MySQL Developer – £30K to £55K per year Data Analyst – £25K to £45K per year Backend Developer – £35K to £60K per year Database Consultant – £40K to £70K per year Course Curriculum: MySql Masterclass Module 1: Introduction on MySQL 01:00:00 Module 2: Data Types 00:51:00 Module 3: SELECT Statements 00:59:00 Module 4: Backticks 00:15:00 Module 5: NULL 00:18:00 Module 6: Limit and Offset 00:13:00 Module 7: Creating databases 00:18:00 Module 8: Using Variables 00:25:00 Module 9: Comment MySQL 00:14:00 Module 10: INSERT Statements 00:29:00 Module 11: DELETE Statements 00:21:00 Module 12: UPDATE Statements 00:20:00 Module 13: ORDER BY Clause 00:08:00 Module 14: Group By 00:18:00 Module 15: Errors in MySQL 00:10:00 Module 16: Joins 00:37:00 Module 17: Joins continued 00:11:00 Module 18: UNION 00:18:00 Module 19: Arithmetic 00:20:00 Module 20: String operations 00:33:00 Module 21: Date and Time Operations 00:08:00 Module 22: Handling Time Zones 00:07:00 Module 23: Regular Expressions 00:19:00 Module 24: VIEWS 00:20:00 Module 25: Table Creation 00:23:00 Module 26: ALTER TABLE 00:23:00 Module 27: Drop Table 00:05:00 Module 28: MySQL LOCK TABLE 00:10:00 Module 29: Error codes 00:08:00 Module 30: Stored routines (procedures and functions) 00:29:00 Module 31: Indexes and Keys 00:24:00 Module 32: Full-Text search 00:18:00 Module 33: PREPARE Statements 00:09:00 Module 34: JSON 00:11:00 Module 35: Extract values from JSON type 00:05:00 Module 36: MySQL Admin 00:08:00 Module 37: TRIGGERS 00:12:00 Module 38: Configuration and tuning 00:07:00 Module 39: Events 00:08:00 Module 40: ENUM 00:09:00 Module 41: Collations, Transactions, Log files, Replication, Backup 00:41:00

Web applications shape the digital world we interact with daily—from the simplest online form to complex platforms driving entire businesses. This course is designed for those who are eager to specialise in building, maintaining, and optimising web-based systems. Whether you're familiar with HTML or curious about frameworks and database logic, this course steadily guides you through the layers of modern web application architecture. You’ll explore front-end and back-end development concepts, delve into programming essentials, and gain insights into how dynamic web environments function behind the scenes. If you're aiming to deepen your understanding and sharpen your development capabilities in a focused, structured format—this is your route. Delivered entirely online, it's tailored for learners who appreciate flexibility without compromising depth. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Section 01: CSS Introduction Introduction How to ask a great questions Introduction CSS Choosing Code Editor Installing Code Editor (Sublime Text) CSS Syntax Creating a first page with CSS Style Section 02: CSS Basic Inline CSS Internal CSS External CSS CSS Classes CSS IDs Colors Backgrounds Floating Positioning Margins Padding Borders Section 03: CSS Intermediate Styling Text Aligning Text Styling Links Font Family Font Styles Applying Google Fonts Box Model Icons Tables Navigation-Menu Dropdowns Section 04: CSS Advanced Advanced Selectors Forms Website Layout Rounded Corners Color Keywords Animations Pseudo Classes Gradients Shadows Calculations Creating Responsive Page Section 05: CSS Expert Button Styles Pagination Multiple Columns Image Reflection UI - UX Design Social Media Icons External CSS Style adding Section 06: PHP Introduction What is PHP Installing XAMPP for PHP, MySQL and Apache Installing Code Editor(Visual Studio Code) Creating PHP Project on XAMPP Hello World Program Section 07: PHP Basic Variables Echo and Print Data Types Numbers Boolean Arrays Multi-Dimensional Array Sorting Arrays Constants Section 08: PHP Strings Strings String Formatting String Methods Coding Exercise Solution for Coding Exercise Section 09: PHP Operators Arithmetic operators Assignment operators Comparison operators Increment - decrement operators Logical operators Ternary operator Section 10: PHP Decision making system If statement If-else statement If-elseif-else statement Switch-case statement Section 11: PHP Control flow statements Flow Chart While loop Do-while loop For loop For each loop Coding Exercise Solution for Coding Exercise Section 12: PHP Functions Creating a Function Function with Arguments Default Argument Function return values Call-by-value Call-by-reference Section 13: PHP Super globals $_POST Method $_GET Method Section 14: PHP Advanced Form Handling Date and Time Include Require Sessions File Reading File Upload Section 15: PHP Object oriented programming[OOPs] What is OOP Class and Objects Constructor Destructor Access Modifiers Inheritance Method overriding Abstract Class Interface Section 16: PHP - MySQL Application [CRUD] MySQL Basic PhpMyAdmin Creating Database and Table Database Connection PHP Form Create records PHP Form Reading records PHP Form Update Data PHP Form Delete records Section 17: PHP Real world code forms Registration Form MD5 Algorithm for Encrypting Sha Algorithm Login Form Section 18: PHP Validations On Submit Validation Input Numeric Validation Login Form Validation Form Server-side all Data Validation Form Server-side Validation Section 19: PHP Error handling Try-throw-catch Try-throw-catch-finally Section 20: MYSQL introduction Overview of Databases MySQL Installation MySQL Workbench Installation Connecting to MySQL using Console Section 21: MySQL basic Overview of Challenges SQL Statement Basic SELECT Statement SELECT DISTINCT Column AS Statement COUNT function Section 22: MySQL filtering data SELECT WHERE Clause - One SELECT WHERE Clause - Two ORDER BY LIMIT BETWEEN IN Operator LIKE and ILIKE Section 23: MySQL functions Overview of GROUP BY Aggregation function SUM() Aggregation MIN() and MAX() GROUP BY - One GROUP BY - Two HAVING Clause Section 24: MySQL joins Overview Assessment Overview of JOINS Introduction to JOINS AS Statement table INNER JOIN FULL Outer Join LEFT Outer JOIN RIGHT JOIN Union Section 25: MySQL advanced commands Advanced SQL Commands Timestamps EXTRACT from timestamp Mathematical Functions String Functions SUBQUERY Section 26: MySQL structure creation Database and Tables Data Types Primary key and Foreign key Create Table in SQL Script Section 27: MySQL data queries Insert Update Delete Section 28: MySQL structure queries Alter Table Drop Table Section 29: MySQL constraints NOT NULL Constraint UNIQUE Constraint Section 30: MySQL backup and restore Overview of Databases and Tables Backup database using phpMyAdmin Restoring a Database Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Web Applications for Specialisation on Development course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Web Applications for Specialisation on Development course is open to all, with no formal entry requirements. Career path Upon successful completion of The Web Applications for Specialisation on Development Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.

Embark on this course in web development with HTML, CSS, JS, and React for a comprehensive training program designed to empower beginners and experienced designers alike with the essential skills needed to create captivating and dynamic websites. Explore the power of React.js, HTML5, CSS3, JavaScript, and build scalable components with React.

What you will learn from this course? Gain comprehensive knowledge about digital electric circuits and intelligent electrical devices Understand the core competencies and principles of digital electric circuits and intelligent electrical devices Explore the various areas of digital electric circuits and intelligent electrical devices Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert electrician, electrical engineer or technicians Course Highlights Course Type: Self-paced online course Duration: 1 to 2 hours Tutor Support: Full tutor support is included Customer Support: 24/7 customer support is available Master In Digital Electric Circuits Course Master the skills you need to propel your career forward in digital electric circuits and intelligent electrical devices. This course will equip you with the essential knowledge and skillset that will make you a confident electrician, electrical engineer or technicians and take your career to the next level. This comprehensive master in digital electric course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this master in digital electric 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 digital electric circuits and intelligent electrical devices practice and equip you with the essential skills, confidence and competence to assist you in the digital electric circuits and intelligent electrical devices industry. You'll gain a solid understanding of the core competencies required to drive a successful career in digital electric circuits and intelligent electrical devices. 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 electrician, electrical engineer or technicians or for people who are aspiring to specialise in digital electric circuits and intelligent electrical devices. Enrol in this master in digital electric 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 master in digital electric 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 digital electric circuits and intelligent electrical devices 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 master in digital electric 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 master in digital electric 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 master in digital electric 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. Study Plex Subscription Study plex also provides a subscription option that allows you unlimited access to more than 700+ CPD courses for learning. You only need to spend £79 to take advantage of this fantastic offer, and you'll get an unlimited subscription for a full year. Additionally, you can cancel your membership from your account at any time by getting in touch with our friendly and devoted customer care team. Visit our subscriptions page for more details if you're interested. Why you should train with Study Plex? At Study Plex, you will have the chance to build social, technical and personal skills through a combination of extensive subjects tailored according to your interest. Along with receiving comprehensive knowledge and transferable skills, there are even more reasons o be involved with us, which include: Incredible Customer Support: We offer active customer service in the form of live chat, which you can access 24/7 Expert Tutor Support: You'll have access to our devoted and dedicated tutor support with all of our courses whenever you need it. Price Justified by Quality: We ensure that you will have the best experience possible for the price you are paying for the course. Money-back Guarantee: We provide a money-back guarantee if you are not satisfied with the course's quality. There is a 14-day time limit on this option (according to the terms and conditions). Instalment Facility: If your course costs more than £50, you can pay in three instalments using the instalment option. Satisfaction Guarantee: Our courses are designed to meet your demands and expectations by all means. 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 00:05:00 Numbering Systems 00:28:00 Binary Arithmetic 00:19:00 Logic Gates 00:30:00 Flip-Flops 00:23:00 Counters & Shift Registers 00:12:00 Adders 00:10:00 Assessment Assessment - Master In Digital Electric Circuits 00:10:00 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

Duration 5 Days 30 CPD hours This course is intended for This course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of the fundamentals of coding and basics of C++ and object-oriented programming concepts. This course is for Non-Developers, or anyone who wants to have a basic understanding of and learn how to code C++ applications and syntax Overview Companies are constantly challenged to keep their applications, development projects, products, services (and programmers!) up to speed with the latest industry tools, skills, technologies and practices to stay ahead in the ever-shifting markets that make up today's fiercely competitive business landscape. The need for application, web and mobile developers and coders is seemingly endless as technologies regularly change and grow to meet the modern needs of demanding industries and clients. C++ and Programming Basics for Non-Programmers is a five-day, basic-level training course geared for IT candidates who have little or no prior experience in computer programming. Throughout this gentle introduction to programming and C++, students will learn to create applications and libraries using C++ using best practices and sound OO development techniques for writing object-oriented programs in C++. Special emphasis is placed on object-oriented concepts and best practices throughout the training. Fundamentals of the Program Development Cycle Computer Architecture The Notion of Algorithms Source Code vs. Machine Code Compile-Time vs. Run-Time Software Program Architecture Standalone Client/Server Distributed Web-Enabled IDE (Interactive Development Environment) Concepts Looping Constructs Counter-Controlled Repetition Sentinel-Controlled Repetition Nested Control Constructs break and continue Statements Structured Programming Best Practices Writing Methods (Functions) Static vs. Dynamic Allocation Declaring Methods Declaring Methods with Multiple Parameters Method-Call Stack Scope of Declarations Argument Promotion and Casting Designing Methods for Reusability Method Overloading Arrays Purpose of Arrays Declaring and Instantiating Arrays Passing Arrays to Methods Multidimensional Arrays Variable-Length Argument Lists Using Command-Line Arguments Using Environment Variables Deeper Into Classes and Objects Controlling Access to Class Members Referencing the Current Object Using this Overloading Constructors Default and No-Argument Constructors Composition of Classes Garbage Collection and Destructors The finalize Method Static Class Members Defining Classes Using Inheritance Application Development Fundamentals Structure of a C++ Program Memory Concepts Fundamental Data Type Declarations Fundamental I/O Concepts Fundamental Operators Arithmetic Operators Logical Operators Precedence and Associativity Building and Deploying a C++ Program Superclasses and Subclasses Advantages of Using Inheritance protected Class Members Constructors in Subclasses Increasing Convenience by Using Polymorphism Purpose of Polymorphic Behavior The Concept of a Signature Abstract Classes and Methods final Methods and Classes Purpose of Interfaces Using and Creating Interfaces Common Interfaces of the C++ API Files and Streams Concept of a Stream Class File Sequential Access Object Serialization to/from Sequential Access Files Fundamental Searching and Sorting Introduction to Searching Algorithms Linear Search Binary Search Introduction to Sorting Algorithms Selection Sort Insertion Sort Merge Sort Fundamental Data Structures Dynamic Memory Allocation Linked Lists Stacks Queues Trees Exception Handling Types of Exceptions Exception Handling Overview Introduction to Classes and Objects Classes, Objects and Methods Object Instances Declaring and Instantiating a C++ Object Declaring Methods set and get Methods Initiating Objects with Constructors Primitive Types vs. Reference Types Flow Control Conditional Constructs Exception Class Hierarchy Extending Exception Classes When to Throw or Assert Exceptions Formatted Output printf Syntax Conversion Characters Specifying Field Width and Precision Using Flags to Alter Appearance Printing Literals and Escape Sequences Formatting Output with Class Formatter Strings, Characters and Regular Expressions Fundamentals of Characters and Strings String Class String Operations StringBuilder Class Character Class StringTokenizer Class Regular Expressions Regular Expression Syntax Pattern Class Matcher Class Fundamental GUI Programming Concepts Overview of Swing Components Displaying Text and Graphics in a Window Event Handling with Nested Classes GUI Event Types and Listener Interfaces Mouse Event Handling Layout Managers Additional course details: Nexus Humans C Plus Plus and Programming Basics for Non-Programmers (TTCP2000) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the C Plus Plus and Programming Basics for Non-Programmers (TTCP2000) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00