85 Computing & IT courses about Coding delivered Online

Overview This comprehensive course on Kotlin Programming : Android Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Kotlin Programming : Android Coding 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 Kotlin Programming : Android Coding. It is available to all students, of all academic backgrounds. Requirements Our Kotlin Programming : Android Coding 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 11 sections • 73 lectures • 05:38:00 total length •Introduction To This Course: 00:02:00 •Windows Setup: 00:13:00 •Mac Setup: 00:10:00 •Linux Setup: 00:12:00 •Online Code Editor: 00:02:00 •Variables: 00:06:00 •Data Types: 00:06:00 •String: 00:05:00 •Array: 00:07:00 •Data Type Conversion: 00:05:00 •Comments: 00:04:00 •Arithmetic Operators: 00:07:00 •Relational Operators: 00:06:00 •Assignment Operators: 00:06:00 •Unary Operators: 00:05:00 •Bitwise Operators: 00:09:00 •Logical Operators: 00:04:00 •Input & Output: 00:03:00 •Conditional if Statement: 00:05:00 •when Statement: 00:07:00 •For Loop: 00:04:00 •while Loop: 00:04:00 •do while Loop: 00:04:00 •Break Statement: 00:04:00 •Continue Statement: 00:04:00 •Basic Functions: 00:03:00 •Function Parameters: 00:04:00 •Return Values: 00:04:00 •Recursion: 00:04:00 •Default & Named Arguments: 00:06:00 •Lambda Function: 00:04:00 •Higher Order Function: 00:05:00 •Inline Function: 00:02:00 •Try Catch Block: 00:04:00 •Try Catch Expression: 00:05:00 •Multiple Catch Block: 00:05:00 •Nested Try Catch Block: 00:05:00 •Finally Block: 00:02:00 •Throw Keyword: 00:02:00 •Nullable & Non Nullable Types: 00:03:00 •Smart Cast: 00:02:00 •Unsafe and Safe Cast: 00:03:00 •Elvis Operator: 00:04:00 •List: listOf Function: 00:06:00 •List: mutableListOf Function: 00:05:00 •List: arrayListOf Function: 00:06:00 •Map: mapOf Function: 00:07:00 •Map: HashMap: 00:08:00 •Map: hashMapOf Function: 00:05:00 •Map: mutableMapOf Function: 00:04:00 •Set: setOf Function: 00:04:00 •Set: mutableSetOf Function: 00:04:00 •Set: HashSet: 00:04:00 •Basic Example: 00:07:00 •Nested and Inner Class: 00:06:00 •Constructors: 00:05:00 •Visibility Modifiers: 00:06:00 •Inheritance: 00:05:00 •Method Overriding: 00:04:00 •Property Overriding: 00:02:00 •Abstract Class: 00:03:00 •Superclass: 00:03:00 •Data Class: 00:05:00 •Multiple Class Inheritance & Interfaces: 00:03:00 •Sealed Class: 00:03:00 •Extension Function: 00:03:00 •Generics: 00:05:00 •Integer Type Range: 00:05:00 •Regex: 00:04:00 •Call Java from Kotlin: 00:03:00 •Call Kotlin from Java: 00:02:00 •Resource: 00:00:00 •Assignment - Kotlin Masterclass Programming Course: Android Coding Bible: 00:00:00

Web development is everything involved in the creation of a website. Typically it refers to the coding and programming side of web site production as opposed to the web design side. It encompasses everything from a simple page of HTML text to complex, feature-rich applications designed to be accessed from various Internet-connected devices. The Junior Web Developer Course is designed to teach you all about you need to become a web developer! You will learn the basics, designing, and planning for web development. Through the course, you will be able to build websites and web apps, start your own online business, comfortable front-end developer, and more! Who is this Course for? Junior Web Developer Course is 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. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of the English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Web Development Basics What Are Niche Website? 01:00:00 The Role Of Visualization In Education 00:15:00 Identify Your Best Platform Or Software 01:00:00 Select A Web Host 01:00:00 Collect Your Site 00:15:00 Building A Content Rich Website 00:15:00 Build Backlinks 00:30:00 Use SEO, Multimedia And Social Sites 01:30:00 Use Analytics 01:00:00 Wrapping Up 00:15:00 Design & Planning How to Choose the Best Website Design for Your Business 01:00:00 What's in a Domain Suffix? 00:15:00 Website Design Terminology 01:00:00 CSS Explained 00:30:00 Website Designs with Staying Power 00:15:00 How Can I Build my Website for Free 00:30:00 Six Steps to Website Design for Beginners 01:00:00 Dreamweaver or CoffeeCup for Website Design 01:00:00 Using Dreamweaver to Create your Site Layout 00:30:00 Three Crucial Steps to Creating Your Website 00:15:00 Dos and Don'ts of Website Creation 00:30:00 SEO Basics for Effective Website Design 00:15:00 Ideas for Your Internet Business Website Design 01:00:00 Immediately Applicable Design Tips for a User-Friendly Website 00:30:00 6 Reasons to Create a Website 00:15:00 Common Website Design Mistakes 00:30:00 Too Much or Too Little 00:15:00 Why Successful Website Development Does Not Stop at Design 00:15:00 Ideas for Your Personal Website Design 01:00:00 How to Create a Social Networking Website to Enhance your Business 01:00:00 Tips for Designing an Affiliate Website 00:15:00 How to Use WordPress for your Website 00:15:00 Top 14 Reasons to Create a Blog 00:30:00 More Tips for Designing a Successful Blog 00:30:00 More Tips for Designing a Successful Blog 00:30:00 Basic Coding for Web Development HTML Basics 00:30:00 CSS Basics 01:00:00 Web Design & Development: HTML5, CSS3 and JavaScript 02:00:00 PHP Programming Welcome to the world of programming! 00:05:00 Getting Started 00:05:00 Let's Start Coding! 00:05:00 PHP Strings 00:05:00 PHP Variables 00:05:00 Useful Variables 00:05:00 PHP Includes & Problem Solving 00:05:00 Tip When Creating Inc Pages 00:30:00 Redirecting Using PHP 00:05:00 Multiple Conditions 00:05:00 PHP Arrays 00:05:00 PHP Loops 00:05:00 Note on PHP Math Functions: 00:05:00 Functions 00:05:00 PHP Sessions 00:30:00 Cookies 00:05:00 Introduction to MySQL 00:05:00 Making The Connection 00:10:00 Inserting Data 00:05:00 Deleting / Removing Data 00:15:00 Recommended Reading Recommended Reading : Junior Web Developer Course 00:00:00 Mock Exam Mock Exam- Junior Web Developer Course 00:30:00 Final Exam Final Exam- Junior Web Developer Course 00:30:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

In this course, you will learn how to unlock the power of Generative AI and learn to generate passive income for profitable online ventures with ChatGPT. Gain the skills to automate tasks efficiently, generate revenue from your content, and uphold ethical AI practices. This course is perfect for beginners or anyone seeking to enhance their online ventures with AI technology.

Clinical Coding is an essential skill set for anyone seeking a fulfilling career in the healthcare industry. Our comprehensive Clinical coding bundle offers a wealth of knowledge and practical training to equip you with the expertise required for success. From mastering clinical records and coding to delving into clinical psychology and medical law, you'll gain a well-rounded understanding of this dynamic field. In addition, our Clinical Coding bundle provides hands-on experience with 3M software, enabling you to navigate medical coding processes efficiently. You'll also receive specialised training in ICD-10-CM and inpatient DRG coding, which is vital for accurate diagnosis and reimbursement procedures. With the ever-increasing demand for skilled clinical coders, completing this course will open doors to exciting opportunities in hospitals, clinics, insurance companies, and medical coding agencies. Learning Outcomes: Gain proficiency in clinical coding and records, enabling accurate translation of medical information into standardised codes. Acquire insights into clinical psychology, enhancing your understanding of mental health assessments and interventions. Develop practical skills in medical coding using 3M software, a widely utilised tool in the industry. Master ICD-10-CM, enabling precise assignment of diagnosis codes to medical conditions. Becoming proficient in inpatient DRG coding is essential for efficient healthcare reimbursement processes. Gain a solid understanding of medical law and compliance, ensuring ethical clinical coding practices within the healthcare industry. Our comprehensive clinical coding bundle will equip you with the essential skills to excel in this dynamic field. From mastering clinical records and coding to exploring clinical psychology, our modules offer a well-rounded education that prepares you for success. Clinical Coding, Clinical Psychology, Medical Coding & Medical Law Bundle Curriculum are: Clinical Coding and Records Clinical Psychology Learn Medical Coding Using 3M Software Level-4 Medical coding Training: ICD-10-CM Medical Coding Inpatient Training: DRG-ICD Medical Coding Training: Develop Inpatient DRG Medical Law Essentials of European Medical Device Regulations Enrolling in our Clinical Coding bundles opens doors to exciting opportunities in hospitals, clinics, insurance companies, and medical coding agencies. Join us today and embark on a transformative journey toward a rewarding career. Take the first step towards unlocking your potential in Clinical Coding by enrolling in our bundle now. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is suitable for: Aspiring clinical coders. Healthcare professionals are looking to enhance their coding skills. Medical students or graduates interested in medical coding. Health information management professionals. Existing coders seeking to update knowledge. Individuals are interested in healthcare and technology. Career path Our bundle will prepare you for a range of careers, including: Clinical Coder: £25,000 - £35,000 per year. Coding Specialist: £30,000 - £40,000 per year. Medical Records Auditor: £35,000 - £45,000 per year. Coding Team Lead: £40,000 - £50,000 per year. Health Information Manager: £45,000 - £55,000 per year. Medical Coding Consultant: Potential earnings exceeding £60,000 per year. Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Embark on a journey into the world of Android app development with our comprehensive Kotlin Programming: Android Coding Bible course. This in-depth training will equip you with the knowledge and skills to master Kotlin, a modern and powerful programming language specifically designed for Android development. Whether you're a complete beginner or an experienced programmer seeking to expand your skillset, this course will guide you through the fundamentals of Kotlin, covering topics such as syntax, data types, variables, operators, control flow statements, functions, error handling, and null safety. You'll gain a solid understanding of object-oriented programming principles and learn how to effectively utilize collections to manage and process data. Learning Outcomes Master the fundamentals of Kotlin programming language for Android development Gain a thorough understanding of syntax, data types, variables, operators, and control flow statements Learn how to create and utilize functions to structure and modularize code Effectively handle errors and exceptions to ensure robust and reliable applications Implement null safety mechanisms to prevent NullPointerExceptions and enhance code stability. Why choose this Kotlin Programming: Android Coding Bible course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Kotlin Programming: Android Coding Bible course for? Aspiring Android developers seeking to master Kotlin programming language Individuals with prior programming experience looking to transition to Android development Software engineers aiming to expand their skillset with Kotlin and Android development expertise Students of computer science or related fields interested in learning Android app development Enthusiasts passionate about creating mobile applications for the Android platform. Career path Android Developer (£35,000 - £55,000) Senior Android Developer (£45,000 - £65,000) Android App Architect (£55,000 - £75,000) Mobile Application Developer (£30,000 - £50,000) Software Engineer (£40,000 - £60,000) Full-Stack Developer (£45,000 - £65,000) Prerequisites This Kotlin Programming: Android Coding Bible does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Kotlin Programming: Android Coding Bible was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction & Setup Introduction To This Course 00:02:00 Windows Setup 00:13:00 Mac Setup 00:10:00 Linux Setup 00:12:00 Online Code Editor 00:02:00 Section 02: Basics Variables 00:06:00 Data Types 00:06:00 String 00:05:00 Array 00:07:00 Data Type Conversion 00:05:00 Comments 00:04:00 Arithmetic Operators 00:07:00 Relational Operators 00:06:00 Assignment Operators 00:06:00 Unary Operators 00:05:00 Bitwise Operators 00:09:00 Logical Operators 00:04:00 Input & Output 00:03:00 Section 03: Control Statements Conditional if Statement 00:05:00 When Statement 00:07:00 For Loop 00:04:00 While Loop 00:04:00 do while Loop 00:04:00 Break Statement 00:04:00 Continue Statement 00:04:00 Section 04: Functions Basic Functions 00:03:00 Function Parameters 00:04:00 Return Values 00:04:00 Recursion 00:04:00 Default & Named Arguments 00:06:00 Lambda Function 00:04:00 Higher Order Function 00:05:00 Inline Function 00:02:00 Section 05: Error/Exception Handling Try Catch Block 00:04:00 Try Catch Expression 00:05:00 Multiple Catch Block 00:05:00 Nested Try Catch Block 00:05:00 Finally Block 00:02:00 Throw Keyword 00:02:00 Section 06: NULL Safety Nullable & Non Nullable Types 00:03:00 Smart Cast 00:02:00 Unsafe and Safe Cast 00:03:00 Elvis Operator 00:04:00 Section 07: Collections List: listOf Function 00:06:00 List: mutableListOf Function 00:05:00 List: arrayListOf Function 00:06:00 Map: mapOf Function 00:07:00 Map: HashMap 00:08:00 Map: hashMapOf Function 00:05:00 Map: mutableMapOf Function 00:04:00 Set: setOf Function 00:04:00 Set: mutableSetOf Function 00:04:00 Set: HashSet 00:04:00 Section 08: Classes & Objects Basic Example 00:07:00 Nested and Inner Class 00:06:00 Constructors 00:05:00 Visibility Modifiers 00:06:00 Inheritance 00:05:00 Method Overriding 00:04:00 Property Overriding 00:02:00 Abstract Class 00:03:00 Superclass 00:03:00 Data Class 00:05:00 Multiple Class Inheritance & Interfaces 00:03:00 Sealed Class 00:03:00 Extension Function 00:03:00 Generics 00:05:00 Section 09: Extras Integer Type Range 00:05:00 Regex 00:04:00 Call Java from Kotlin 00:03:00 Call Kotlin from Java 00:02:00 Section 10: Resource Resource 00:00:00 Assignment Assignment - Kotlin Masterclass Programming Course: Android Coding Bible 00:00:00

Course Description Get instant knowledge from this bite-sized Medical & Clinical Administration Diploma Part - 2 course. This course is very short and you can complete it within a very short time. In this Medical & Clinical Administration Diploma Part - 2 course you will get fundamental ideas of [Course Value], the key understanding of medical coding, billing and so on. Enrol in this course today and start your instant first step towards learning medical jargon and terminology. Learn faster for instant implementation. Learning Outcome Familiarise with medical coding and billing Understand medical jargon and terminology Gain in-depth knowledge of information technology in health care Deepen your understanding of maintaining workplace safety Understand the legal aspects and ethics How Much Do Medical Administrative Assistants Earn? Senior - £29,000 (Apprx.) Average - £22,000 (Apprx.) Starting - £17,000 (Apprx.) Requirement Our Medical & Clinical Administration Diploma Part - 2 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. Medical & Clinical Administration Diploma Part - 2 Module 01: Medical Jargon and Terminology 00:25:00 Module 02: Maintaining Workplace Safety 00:20:00 Module 03: Information Technology in Health Care 00:14:00 Module 04: Medical (Clinical) Coding and Billing 00:18:00 Module 05: Legal aspects and Ethics 00:19:00 Assignment Assignment - Medical & Clinical Administration Diploma Part - 2 00:00:00

Boost your medical career! Master clinical coding, ace medical administration. Enhance patient care, be a healthcare ace. Start your transformative journey now!

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. 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 Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

Overview This comprehensive course on Basic C# Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Basic C# Coding 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 Basic C# Coding. It is available to all students, of all academic backgrounds. Requirements Our Basic C# Coding 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 12 sections • 85 lectures • 06:27:00 total length •Course Introduction: 00:02:00 •Course Curriculum: 00:07:00 •How to get Pre-requisites: 00:03:00 •Getting Started on Windows or Linux: 00:01:00 •How to ask Great Questions: 00:02:00 •FAQ's: 00:01:00 •Introduction to C#: 00:07:00 •C# vs .NET: 00:04:00 •What is CLR?: 00:05:00 •Architecture of .NET Application: 00:09:00 •Getting Visual Studio: 00:07:00 •First C# Hello World Application: 00:16:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •05 Interview Questions and Answers: 00:04:00 •Introduction: 00:03:00 •Variables: 00:24:00 •C# Identifiers: 00:08:00 •Data Types: 00:08:00 •Type Casting: 00:14:00 •User Inputs: 00:10:00 •Comments: 00:03:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:02:00 •03 Interview Questions and Answers: 00:02:00 •Summary: 00:02:00 •Introduction: 00:02:00 •Arithmetic Operators: 00:09:00 •Assignment Operators: 00:03:00 •Comparison Operators: 00:03:00 •Logical Operators: 00:03:00 •Strings: 00:10:00 •String Properties: 00:08:00 •Booleans: 00:06:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •03 Interview Questions and Answers: 00:04:00 •Summary: 00:02:00 •Introduction: 00:02:00 •If Conditions and Statements: 00:12:00 •Switch-Case Statements: 00:09:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:02:00 •03 Interview Questions and Answers: 00:04:00 •Summary: 00:02:00 •Introduction: 00:02:00 •While Loop Statement: 00:07:00 •Do-While Statement: 00:03:00 •For Loop Statement: 00:07:00 •Foreach Statement: 00:06:00 •Break and Continue: 00:03:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •03 Interview Questions and Answers: 00:02:00 •Summary: 00:01:00 •Introduction: 00:01:00 •Arrays: 00:13:00 •Loop Through Arrays: 00:10:00 •Lists: 00:07:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:02:00 •03 Interview Questions and Answers: 00:02:00 •Summary: 00:02:00 •Introduction: 00:01:00 •System.IO Namespace: 00:03:00 •File and File Info: 00:11:00 •Directory and Directory Info: 00:08:00 •Getting File Path Information: 00:05:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •03 Interview Questions and Answers: 00:03:00 •Summary: 00:03:00 •Introduction: 00:02:00 •Datetime: 00:10:00 •TimeSpan: 00:06:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •Summary: 00:02:00 •Introduction: 00:02:00 •Debugging Tools in Visual Studio: 00:13:00 •Call Stack Window: 00:04:00 •Locals and Autos Windows: 00:04:00 •Summary: 00:02:00 •Bonus Lecture for What Next?: 00:02:00 •Assignment - Basic C# Coding: 00:00:00

Overview of HTML and CSS Coding for Beginners Join our HTML and CSS Coding for Beginners course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The HTML and CSS Coding for Beginners course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The HTML and CSS Coding for Beginners course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This HTML and CSS Coding for Beginners Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this HTML and CSS Coding for Beginners. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. 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 HTML and CSS Coding for Beginners course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This HTML and CSS Coding for Beginners is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the HTML and CSS Coding for Beginners course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this HTML and CSS Coding for Beginners Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Section 01: Introduction 1.1: Introduction 00:03:00 1.2: Course Curriculum 00:02:00 1.3: How to Get Pre-Requisites 00:03:00 1.4: Getting Started on Windows, Linux or macOS 00:02:00 1.5: Code Editor- Setting Up (SublimeText) 00:02:00 1.6: How to Ask Great Questions 00:02:00 Section 02: Let's learn HTML 2.1: HTML overview 00:04:00 2.2: Basic HTML structure 00:13:00 2.3: H1 to H6 - heading tags 00:06:00 2.4: Paragraph tags 00:05:00 2.5: Creating a line break 00:03:00 2.6: Adding a link 00:05:00 2.7: Adding an image 00:08:00 2.8: Creating an image with a link 00:04:00 2.9: Nav tags 00:05:00 2.10: Using the div tag 00:04:00 2.11: Creating unordered and ordered lists 00:05:00 2.12: Forms 00:09:00 2.13: Tables 00:05:00 2.14: Creating comments in HTML 00:03:00 2.15: Colors 00:07:00 2.16: Review HTML elements 00:04:00 2.17: Assessment Test 00:01:00 2.18: Solution for Assessment Test 00:01:00 Section 03: Let's learn CSS 3.1: CSS overview 00:03:00 3.2: CSS syntax 00:02:00 3.3: Background colour 00:08:00 3.4: Creating an ID 00:10:00 3.5: Creating classes 00:05:00 3.6: Creating a border 00:04:00 3.7: Border radius 00:10:00 3.8: Padding 00:06:00 3.9: Margin 00:02:00 3.10: Font size 00:04:00 3.11: Font weight 00:05:00 3.12: Text transform 00:05:00 3.13: Text colour 00:00:00 3.14: Aligning the text 00:04:00 3.15: Font family 00:06:00 3.16: Font style 00:03:00 3.17: CSS comments 00:02:00 Section 04: Final Project 4.1: Project overview 00:03:00 4.2: Conclusion on Project 00:01:00 Section 05: BONUS 5.1: Linking a CSS style common code to your HTML document 00:06:00 5.2: Applying the CSS hover selection to animate website button effects 00:04:00