1969 Testing courses delivered Online

Master the skills you need to propel your career forward in business management and entrepreneurship. Equip yourself with the essential knowledge and skillset that make you a confident entrepreneur or business manager and take your career to the next level. This comprehensive The Entrepreneur Project Masterclass For Inventions And Business Ideas course is designed to help you reach your professional goals. This course is accredited by the CPD UK. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. The skills and knowledge that you will gain through studying this The Entrepreneur Project Masterclass For Inventions And Business Ideas course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive The Entrepreneur Project Masterclass For Inventions And Business Ideas course will teach you the theory of effective business management and entrepreneurship practice and equip you with the essential skills, confidence and competence to assist you in the business management and entrepreneurship industry. You'll gain a solid understanding of the core competencies required to drive a successful career in business management and entrepreneurship. Learn from expert tutors with industry experience, teaching you the latest expertise and best practice. This extensive The Entrepreneur Project Masterclass For Inventions And Business Ideas course is designed for business management and entrepreneurship professionals who are aspiring to specialise in business management and entrepreneurship. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV. Enrol today and take the next step towards your personal and professional goals. 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 Phase 1 - Idea Validation Idea Validation Checklist 00:02:00 Market Research 00:02:00 Prelim Patent Search 00:04:00 Prelim Costing 00:02:00 Concept Description 00:01:00 Product/Business Benefits 00:01:00 What Problem Does it Solve 00:01:00 How To Test Your Idea 00:04:00 Industry Data 00:03:00 Potential Distribution or Go To Market 00:02:00 Contract's and NDA's 00:02:00 Phase 2 - Prototype Protecting Your Invention 00:05:00 Prototype Development and 3D Cad Design 00:05:00 Prototype Testing 00:02:00 Should We Do This In China Pros and Cons 00:06:00 Product Naming 00:03:00 Manufacturing Feasibility 00:05:00 What is the Potential Cost to Manufacture 00:02:00 What is the Potential Retail Cost 00:03:00 Package Design and Costing 00:03:00 Phase 3 - Patents What is a Patent 00:04:00 What are the Patent Types 00:03:00 Patent Search 00:04:00 Patent Claims 00:03:00 Patent Drawings 00:03:00 Patent Filing 00:03:00 Patent Pending, What Does That Mean 00:04:00 IPR 00:03:00 Patent Grant 00:04:00 Patent Pitfalls 00:03:00 Patent Enforcement 00:03:00 I Have a Patent, Am I Protected 00:03:00 Can I Go To Market 00:03:00 Phase 4 - Business Planning Business Planning Introduction 00:03:00 Suggested Retail Price 00:05:00 Market Analysis 00:05:00 Competitive Analysis 00:04:00 Product Roadmap 00:04:00 Distribution 00:05:00 Operations Plan 00:04:00 Phase 5 - Decision Plan Go To Market or Licensing 00:06:00 Licensing 00:05:00 Licensing Options 00:05:00 Go to Market with Invention 00:06:00 Selling your Invention 00:05:00 Identify Potential Buyers 00:05:00 Identify Market 00:07:00 Phase 6 - Business Set Up Business Plan: The Heartbeat of Your Business 00:10:00 How Important is a Business Plan 00:04:00 Initial Business Funding 00:07:00 Setting Up A Business Bank Account 00:04:00 Home Office When Do I Get a Real Office 00:04:00 Phase 7 - Manufacturing Define The Manufacturing Process 00:05:00 Mold Design and Production 00:05:00 Production Costs 00:04:00 Test Production Run 00:06:00 Packaging Design 00:05:00 Shipping Logistics 00:06:00 Local Manufacturers Pros and Cons 00:05:00 Phase 8 - Distribution Reseller Landscape 00:05:00 Forecasting 00:05:00 3PL Negotiations 00:06:00 Live and Die by Distribution 00:04:00 Phase 9 - Business Scams and Pitfalls Patent Scams Renewal Based 00:04:00 General Business Scams 00:04:00 Government Agency Scams 00:04:00 Intellectual Property Scams 00:03:00 Phase 10 - Go To Market PR Negotiations and Set Up 00:07:00 Press Release Creation 00:05:00 Website Build and Launch 00:06:00 Manufacturer's Rep Firm Negotiation and Set Up 00:05:00 Resellers Negotiation and Set Up 00:06:00 Social Media Plan 00:05:00 Marketing Collateral Design 00:05:00 Trade Show Planning 00:06:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00

What are ombre brows? Ombré brows are a series of many fine dots that vary in concentration, looking for a powdered brow. Course Content CONSULTATION & BROW BASICS BEFORE & AFTERCARE OMBRE BROWS ARE NOT RECOMMENDED. SHAPE & COLOR HEALING POST-PROCEDURE ALLERGIC REACTIONS & PIGMENT TESTING INFECTION, PREVENTION HYGIENE & EQUIPMENT CLEANING & STERILIZING COLOUR THEORY COLOR TRIANGLE PIGMENT COLOUR COLOUR COMBOS BEFORE & AFTERS MACHINE SETUP MAIN CASE STUDY LEARNING BROW CORRECTION PHYSICAL PRACTISE TRAINING HOW YOUR PRACTICE SKIN SHOULD LOOK Training kit not included Certificate You will receive an end of course certificate which is accredited by the cpd group and allows you to work on public How do Online Courses work? http://www.kbhtrainingacademy.com/online-courses Duration of Course? You will have 3 months to complete the course before it expires Will I require a model? Yes, you will be required to complete 2 cases of studies. Are there video tutorials? Yes, you will have links to YouTube to watch the treatment being performed Do I Need Experience Before Booking a Course? You will need to be trained in microblading to join this course. Do you offer finance? http://www.kbhtrainingacademy.com/finance

Microblading Online Course What is Microblading? Microblading is a tattooing technique in which a small handheld tool made of several tiny needles is used to add semi-permanent pigment to the skin. Course Content History of Microblading Health & Safety at work How to do a risk assessment Preventing Legionella Control of substances hazardous to health regulations 2002 (COSHH) Code of Practice for hygiene in beauty salons The appearance of the therapist Sterilisation and disinfection The manual handling operations regulations 1992 Ergonomics The personal protective equipment at work regulations 1992 The provisions and use of work equipment regulations 1992 The Provisions and use of work equipment regulations 1998 The environmental protection act 1990 Safe disposal of sharps Tattoo regulations act W.E.E.E regulations 2006 The regulatory reform (fire safety) order 2005 Types of fire extinguishers The reporting or injuries, diseases and dangerous occurrences regulations 1995 Health and safety first aid regulations 1981 Electricity at work regulations 1989 Public liability and employers liability insurance The local authority licensing application Effective cleaning Types of cleaning agents Bloodborne pathogens Gloves Handwashing techniques Bloodborne pathogens policy and procedure Why clients may want Permanent Makeup Client satisfaction Equipment you will need Microblading consultation form Topical anaesthetic form Pre-procedure advice Permanent cosmetics aftercare Patch testing Contraindications Contra-actions Anatomy of skin Wound healing Lymphatic system Cardiovascular system Eyebrow symmetry Pigments Colour theory Colour correction/removal Trouble shootingTroubleshooting Skin tones Skin undertone test Colour changes Needle configuration Needle depths Microblading tools Anaesthetics Microblading information Worksheets Training Kit if purchased 2 x Pigment 1 x Piece Microblading Manual Pen 3 x Piece Eyebrow Practice Skin 1 x Piece Mapping String 1 x Piece Eyebrow Pen 3 x Sticky Stencil Ruler 5 x Pieces Microblading Needles 4 x Alcohol Pads 4 x Mixing Rings 4 x Mixing Swabs 4 x Mascara Wands 3 x Aftercare creams Certificate You will receive an end of course certificate which is accredited by the CPD Group and allows you to work in public. How do Online Courses work? http://www.kbhtrainingacademy.com/online-courses Duration of Course? You will have 6 months to complete the course before it expires. Will I require a model? Yes, 3 cases of studies are required to complete all of the required case studies. Are there video tutorials? Yes, you will have links to YouTube and training videos to watch the treatment being performed. Do I Need Experience Before Booking a Course? We’re pleased to offer courses to people with lots of different experiences. However, previous experience, nor qualifications are not necessary if you would like to enrol on our Course. We do however suggest our Eyebrow Shaping Course. Do you offer finance? http://www.kbhtrainingacademy.com/finance

Duration 5 Days 30 CPD hours This course is intended for This course is intended for individuals who want to learn how to program Android applications using the Java Programming Language. Overview Upon successful completion of this course, students will have an understanding of basic application Android development. This course will teach the basics of Android Development using the Java Programming Language and Android Studio. Introduction and Setup Android Studio Development Essentials Introduction Setting up an Android Studio Development Environment Creating an Example Android App in Android Studio A Tour of the Android Studio User Interface Creating an Android Virtual Device (AVD) in Android Studio Using and Configuring the Android Studio AVD Emulator Testing Android Studio Apps on a Physical Android Device The Basics of the Android Studio Code Editor Android Architecture and State Changes An Overview of the Android Architecture The Anatomy of an Android Application Understanding Android Application and Activity Lifecycles Handling Android Activity State Changes Android Activity State Changes by Example Saving and Restoring the State of an Android Activity Views and Layouts Understanding Android Views, View Groups and Layouts in Android Studio A Guide to the Android Studio Layout Editor Tool A Guide to the Android ConstraintLayout A Guide to using ConstraintLayout in Android Studio An Android Studio Layout Editor ConstraintLayout Tutorial Manual XML Layout Design in Android Studio Creating an Android User Interface in Java Code Event Handling An Overview and Example of Android Event Handling A Guide to using Instant Run in Android Studio Android Touch and Multi-touch Event Handling Detecting Common Gestures using Android Studio and the Gesture Detector Class Implementing Custom Gesture and Pinch Recognition on Android Advanced Layout and Transitions An Introduction Android Fragments Using Fragments in Android Studio - An Example Creating and Managing Overflow Menus on Android Animating User Interfaces with the Android Transitions Framework An Android Transition Tutorial using beginDelayedTransition Implementing Android Scene Transitions ? A Tutorial Working with the Floating Action Button and Snackbar Creating a Tabbed Interface using the TabLayout Component Working with the RecyclerView and CardView Widgets An Android RecyclerView and CardView Tutorial Working with the AppBar and Collapsing Toolbar Layouts Implementing an Android Navigation Drawer An Android Studio Master/Detail Flow Tutorial Intents, Threads, Services, and Notifications An Overview of Android Intents Android Explicit Intents ? A Worked Example Android Implicit Intents ? A Worked Example Android Broadcast Intents and Broadcast Receivers A Basic Overview of Threads and Thread Handlers An Overview of Android Started and Bound Services Implementing an Android Started Service - A Worked Example Android Local Bound Services - A Worked Example Android Remote Bound Services - A Worked Example An Android 7 Notifications Tutorial An Android 7 Direct Reply Notification Tutorial Data Access and Storage Integrating Firebase Support into an Android Studio Project An Android 7 Firebase Remote Notification Tutorial An Introduction to Android 7 Multi-Window Support An Android Studio Multi-Window Split-Screen and Freeform Tutorial An Overview of Android SQLite Databases in Android Studio An Android TableLayout and TableRow Tutorial An Android SQLite Database Tutorial Understanding Android Content Providers Implementing an Android Studio Content Provider in Android Studio Accessing Cloud Storage using the Android Storage Access Framework An Android Storage Access Framework Example Multimedia, Maps and Printing Video Playback on Android VideoView and MediaController Classes Video Recording and Image Capture using Camera Intents Making Runtime Permission Requests in Android Android Audio Recording and Playback using MediaPlayer and MediaRecorder Working with the Google Maps Android API in Android Studio Printing with the Android Printing Framework An Android HTML and Web Content Printing Example A Guide to Android Custom Document Printing Final Build An Android Fingerprint Authentication Tutorial Handling Different Android Devices and Displays Signing and Preparing an Android Application for Release Integrating Google Play In-app Billing into an Android Application An Overview of Gradle in Android Studio An Android Studio Gradle Build Variants Example Additional course details: Nexus Humans Android Studio Development Essentials 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 Android Studio Development Essentials 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.

This course will guide you on how to design a responsive website from scratch without any previous experience in Adobe XD. You will also learn the principles of UI and UX and get your design ready for coding.

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

If you want to explore your creativity, enjoy freedom in your work, or become an editor or writer, then Screenwriting and Playwriting Course is inevitable for you. The precise contents of the course teach you all the important techniques of screenwriting and playwriting to pursue the highest position in this role. The course teaches you how to explore your creativity in your writing stating lucid statements, dialogues, and incorporating witty words. It assists you to create a situation that holds your reader's or audiences' attention magnetically. It guides you to incorporate different structures, methodology, and manipulative tension rising techniques to give a great insight into your writing. It teaches you all the techniques how to depict the audience view through your narrative skills. Learn all the aforesaid aspects and kick-start your career in this role in a sound-bite. Who is this course for? Screenwriting and Playwriting Course is suitable for anyone who wants to gain extensive knowledge, potential experience and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Screenwriting and Playwriting Course is open to all from all academic backgrounds and there are no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. 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 INTRODUCTION TO SCREENWRITING AND PLAYWRITING What is Screenwriting and Playwriting? 00:15:00 What is a Story? 00:05:00 Screenwriting Vs. Playwriting 00:15:00 Screenplay Format 00:15:00 Playwriting Format 00:15:00 GENERATING & ARRANGING IDEAS Stages of Screenwriting-Loglines, Synopsis, Treatment, Script 00:15:00 Generating, Judging and Testing Ideas 00:15:00 Generating Backstory for Screenplay 00:15:00 BUILDING YOUR NARRATIVE Conflict - The Building Block of Drama 00:15:00 The Hero's Journey and the 3 Act Structure 00:15:00 Sequences 00:05:00 Scenes 00:15:00 CHARACTERISATION Character Functions 00:05:00 Character Development 00:05:00 Characterisation through Action, Dialogue & Description 00:05:00 WRITING YOUR SCRIPT Pulling Your Ingredients Together into a Plan 00:15:00 Tools of Screenwriting 00:15:00 Dialogue - purposes, subtext, exercises, hiding exposition 00:15:00 Description - Dos and Don'ts 00:05:00 Pace & writing visually 00:30:00 MARKETPLACE Market - Who is the market? 00:30:00 Agents, Meetings & Pitching 00:05:00 Marketing Self, Networking, Building a Career 00:05:00 Pay 00:15:00 Playwriter Pay 00:05:00 Case Studies of Screenwriters Breaking Through 00:15:00 Case Studies of Playwright Breaking Through 00:15:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop 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 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

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

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