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Power Query and Power Pivot in Microsoft Excel:  A Quickstart Guide   Course Description   Copyright Ross Maynard 2022   Course Description Power Query and Power Pivot are two tools available in Microsoft Excel. If you are serious about data analysis, then you need to know how to use these tools. This Quickstart guide will give you the skills you need to get started with these powerful features. The Power Query tool allows you to import external data and then modify it to meet your needs, before loading it into Excel. These editing tasks are all things you can do manually in Excel, but Power Query greatly speeds things up when you have a large volume of data. The Power Pivot tool allows you to connect multiple data tables in an extended pivot table. Power Pivot also introduces new analysis and query tools to further enhance data analysis. If data analysis is your thing, then this course will help you get up to speed with these feature-filled tools. Through screen-capture video, the course provides a step-by-step guide to the foundation skills needed to use both Power Query and Power Pivot effectively. The course is designed to make your first steps into Power Query easy and to build your confidence to use them on your own. Both Power Query and Power Pivot are also available in Microsoft Power BI – the data visualisation suite. Once you have learned how to use Power Query and Power Pivot in Excel with this course, you’ll have a head start in getting to grips with Power BI Get up to speed with Power Query and Power Pivot in Microsoft Excel with this Quickstart guide.     Key Learning Points  On completion of the course, delegates will be able to: Use Power Query to load data from an external source into Microsoft Excel Clean and manipulate external data before loading it into Excel Consolidate separate files with Power Query Update Excel tables with new data in the same format Use Power Query to “unpivot” report tables to prepare the data for analysis Explain the core functionality of Power Pivot Link data tables together in the Power Pivot data model Create pivot tables that draw data from several source data tables Create performance measures and new analysis in the Power Pivot data model Use the most popular DAX query language functions in Power Pivot     Curriculum Lesson 1: Power Query Quickstart Lesson 2: Consolidating Files with Power Query Lesson 3: Unpivoting a Table Lesson 4: Power Pivot Quickstart Lesson 5: Power Pivot – Adding Data and Functionality Lesson 6: Key DAX Functions for Power Pivot Lesson 7: The DAX CALCULATE Function Lesson 8: Key Learning Points     Pre-Course Requirements There are no pre-course requirements     Additional Resources Starter spreadsheets for each lesson are provided so that learners can follow the steps presented.     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel     Questions What is the main feature of Power Query? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     What is the main feature of Power Pivot? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     Which of the following actions cannot be performed within Power Query? Split text into multiple columns Trimming text and removing spaces Creating calculated columns using DAX functions Make date based calculations   Which of the following statements is true? You can use Power Query to combine files that have the same format and open them all in the same spreadsheet You can use Power Query to link data tables and create pivot tables that pull data items from all the linked tables You can use Power Query to create interactive dashboard reports You can use Power Query to export data files to Microsoft Access and other databases     Which of the following provides a compelling case to use Power Pivot in Microsoft Excel? The data visualisation and presentation features of Power Pivot are much more powerful than those in Excel Power Pivot offers the ability to clean large files of data imported from other systems quickly Existing reports and tables can be “reverse engineered” (unpivoted) to create data tables for more advanced analysis Files sizes in Power Pivot are smaller than in Excel and there is no limit on the number of rows of data that can be stored. This makes it much faster and more efficient to use Power Pivot for large data sets     Power Pivot uses analysis functions from the DAX formula language. What does “DAX” stand for? Digital Architecture Extraction Data Arbitrage Extrapolation Display Analytics Extension Data Analysis Expressions Deeply Annoying Exercise   The DAX CALCULATE function is one of the most powerful and useful functions available in Power Pivot. Which statement best describes it? It performs row by row calculations defined by the user and adds the total of them all together for a specified table It performs row by row calculations defined by the user and displays the maximum result for a specified table It performs a defined calculation and then applies filters specified by the user It filters the data in a specified table according to criteria set by the user   As well as in Power Pivot in Microsoft Excel, in what application are DAX functions also available? Microsoft PowerPoint Microsoft Forms Microsoft Teams Microsoft Power BI   How do DAX functions differ from Microsoft Excel functions? DAX functions are designed specifically for use with SQL based data sources DAX functions are completely new and provide additional functionality within Microsoft Excel DAX functions never take a cell reference or a range as reference, but instead take a column or table as reference DAX date and time functions return a date as a serial number, whereas Excel date and time functions return a datetime data type  

Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts. Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career. This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field.  The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand.  And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects.  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 This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies 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 Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Overview This Power Electronics for Electrical Engineering course will unlock your full potential and will show you how to excel in a career in Power Electronics for Electrical Engineering. So upskill now and reach your full potential. Everything you need to get started in Power Electronics for Electrical Engineering is available in this course. Learning and progressing are the hallmarks of personal development. This Power Electronics for Electrical Engineering will quickly teach you the must-have skills needed to start in the relevant industry. In This Power Electronics for Electrical Engineering Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Power Electronics for Electrical Engineering skills to help you advance your career. Acquire a comprehensive understanding of various Power Electronics for Electrical Engineering topics and tips from industry experts. Learn in-demand Power Electronics for Electrical Engineering skills that are in high demand among UK employers, which will help you to kickstart your career. This Power Electronics for Electrical Engineering course covers everything you must know to stand against the tough competition in the Power Electronics for Electrical Engineering field.  The future is truly yours to seize with this Power Electronics for Electrical Engineering. Enrol today and complete the course to achieve a Power Electronics for Electrical Engineering certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Power Electronics for Electrical Engineering course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Power Electronics for Electrical Engineering course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Power Electronics for Electrical Engineering course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Power Electronics for Electrical Engineering is suitable for anyone aspiring to start a career in Power Electronics for Electrical Engineering; even if you are new to this and have no prior knowledge on Power Electronics for Electrical Engineering, this course is going to be very easy for you to understand.  And if you are already working in the Power Electronics for Electrical Engineering field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Power Electronics for Electrical Engineering course is a win-win for you in all aspects.  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 This Power Electronics for Electrical Engineering course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Power Electronics for Electrical Engineering 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 Power Electronics for Electrical Engineering course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Unit 1- Introduction to Power Electronics Components Module 1- Introduction to Power Electronics 00:13:00 Module 2- Uncontrolled Switches 00:17:00 Module 3- What is the Benefit of Diode 00:06:00 Module 4- Semi-Controlled Switches Part 1 00:09:00 Module 5- Semi-Controlled Switches Part 2 00:14:00 Module 6- Semi-Controlled Switches Part 3 00:05:00 Module 7- What is the Benefit of Thyristor 00:05:00 Module 8- Fully Controlled Switches Part 1 00:17:00 Module 9- Fully Controlled Switches Part 2 00:10:00 Module 10- Fully Controlled Switches Part 3 00:12:00 Unit 2- Fundamentals of Rectifier Circuits Module 1- Overview on Rectifiers 00:02:00 Module 2- Rectifier Definition 00:01:00 Module 3- Half Wave Uncontrolled Rectifier with R Load 00:21:00 Module 4- Example on Half Wave Uncontrolled Rectifier with R Load Part 1 00:06:00 Module 5- Example on Half Wave Uncontrolled Rectifier with R Load Part 2 00:07:00 Module 6- Half Wave Uncontrolled Rectifier with RL Load 00:10:00 Module 7- Derivation of the Discontinuous Current in R-L Load 00:08:00 Module 8- Freewheeling Diode (Commutation Diode) 00:03:00 Module 9- Half Wave R-L Load with FWD 00:09:00 Module 10- Difference Between Continuous and Discontinuous Mode in RL Load 00:07:00 Module 11- Half Wave RL Load with FWD Continuous Mode 00:06:00 Module 12- Example on Half Wave Rectifier with FWD 00:07:00 Module 13- Bridge Full Wave Uncontrolled Rectifier Part 1 00:07:00 Module 14- Bridge Full Wave Uncontrolled Rectifier Part 2 00:05:00 Module 15- Quick Revision on Bridge Full Wave Uncontrolled Rectifier 00:06:00 Module 16- Firing Angle 00:02:00 Module 17- Half Wave Controlled Rectifier R Load 00:05:00 Module 18- Half Wave Controlled Rectifier R-L Load 00:04:00 Module 19- Half Controlled R-L Load with FWD 00:06:00 Module 20- Example 1 00:07:00 Module 21- Example 2 00:08:00 Module 22- Example 3 00:13:00 Module 23- Example 4 00:09:00 Module 24- Example 5 00:05:00 Module 25- Fully Controlled Bridge Rectifier Part 1 00:06:00 Module 26- Fully Controlled Bridge Rectifier Part 2 00:06:00 Module 27- Quick Revision on Bridge Full Wave Controlled Rectifier 00:02:00 Module 28- Example 6 00:08:00 Module 29- Half Controlled Bridge Rectifier 00:08:00 Module 30- Half Controlled Bridge Rectifier with FWD 00:05:00 Module 31- Example 7 00:06:00 Module 32- Example 8 00:07:00 Module 33- Performance Parameters 00:04:00 Module 34- Power Factor 00:04:00 Unit 3- Fundamentals of AC Choppers Module 1- Introduction to AC Choppers 00:02:00 Module 2- Definition of AC Choppers 00:05:00 Module 3- Switching Techniques in AC Choppers 00:06:00 Module 4- Applications on AC Choppers 00:03:00 Module 5- Types of AC Choppers 00:02:00 Module 6- AC Chopper with R Load 00:14:00 Module 7- Example 1 on AC Chopper with R Load 00:06:00 Module 8- Example 2 on AC Chopper with R Load 00:04:00 Module 9- AC Chopper with L Load Part 1 00:13:00 Module 10- AC Chopper with L Load Part 2 00:06:00 Module 11- Example on AC Chopper with L Load 00:08:00 Module 12- AC Chopper with RL Series Load 00:20:00 Module 13- Example on AC Chopper with RL Series Load 00:07:00 Module 14- AC Chopper with RL Parallel Load 00:25:00 Module 15- Example on AC Chopper with RL Parallel Load 00:06:00 Module 16- AC Chopper with Pure Capacitive Load 00:14:00 Module 17- Example on AC Chopper with Pure Capacitive Load 00:04:00 Module 18- AC Chopper Loaded by Heavy Rectifier 00:06:00 Module 19- AC Chopper Loaded by an AC Motor with Sinusoidal Back Emf 00:12:00 Module 20- Example on AC Chopper Loaded by an AC Motor with Sinusoidal Back Emf 00:08:00 Module 21- Integral Cycle Control 00:11:00 Module 22- Example on Integral Cycle Control 00:04:00 Unit 4- Fundamentals of DC Choppers Module 1- Introduction to DC Choppers 00:02:00 Module 2- Definition and Application of DC Choppers 00:05:00 Module 3- Step down DC Chopper with R Load 00:12:00 Module 4- Example on Step Dwon DC Chopper with R Load 00:08:00 Module 5- Generation of Duty Cycle 00:09:00 Module 6- Switching Techniques 00:03:00 Module 7- Step Down DC Chopper with RLE Load Part 1 00:19:00 Module 8- Step Down DC Chopper with RLE Load Part 2 00:15:00 Module 9- Example 1 on Step Down DC Chopper with RLE Load 00:13:00 Module 10- Example 2 on Step Down DC Chopper with RLE Load 00:02:00 Module 11- Step Up DC Chopper with R or RL Load 00:09:00 Module 12- Step Up DC Chopper with RE Load 00:15:00 Module 13- Example on Step Up DC Chopper with RE Load 00:20:00 Module 14- Buck Regulator Part 1 00:16:00 Module 15- Buck Regulator Part 2 00:17:00 Module 16- Example on Buck Regulator 00:03:00 Module 17- Boost Regulator 00:23:00 Module 18- Example on Boost Regulator 00:06:00 Module 19- Buck Boost Converter 00:17:00 Module 20- Example on Buck-Boost Converter 00:05:00 Unit 5- Fundamentals of Inverters Module 1- Introduction to Inverters 00:02:00 Module 2- Definition of Inverters 00:04:00 Module 3- Importance and Applications of Inverters 00:08:00 Module 4- Single Phase Half Bridge R-Load 00:15:00 Module 5- Single Phase Half Bridge RL- Load 00:08:00 Module 6- Performance Parameters of an Inverter 00:05:00 Module 7- Example on Single Phase Half Bridge 00:10:00 Module 8- Single Phase Bridge Inverter R- Load 00:06:00 Module 9- Single Phase Bridge Inverter RL- Load 00:07:00 Module 10- Example on Single Phase Bridge Inverter 00:06:00 Module 11- Three Phase Inverters and Obtaining the Line Voltages 00:15:00 Module 12- Threee Phase Inverters and Obtaining The Phase Voltages 00:17:00 Module 13- Example on Three Phase Inverters 00:16:00 Module 14- Single Pulse Width Modulation 00:13:00 Module 15- Multiple Pulse Width Modulation 00:13:00 Module 16- Example on Multiple Pulse Width Modulation 00:04:00 Module 17- Sinusoidal Pulse Width Modulation 00:16:00 Module 18- Industrial Inverter 00:03:00

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Complete the Become an expert Painter (Pack of 6 Painting Course) and gain an industry-acknowledged lesson that will help you excel in finding your ideal job. Course Content Modern Acrylic Painting: Explore Techniques to Create On-Trend Art Intro 00:03:00 Acrylics Preface 00:03:00 Supply List 00:04:00 Mixing Colors 00:12:00 Brush Control 00:06:00 Backgrounds: Smooth Blend 00:13:00 Backgrounds: Ombré Gradient 00:07:00 Backgrounds: Textured Abstract 00:10:00 Donut Painting 00:19:00 Tropical Leaf Painting 00:18:00 Geometric: Herringbone 00:07:00 Geometric: Gold Veining 00:05:00 Geometric: Color Blocking 00:06:00 Galaxy Painting 00:04:00 Bonus Tips 00:02:00 Modern Watercolor Techniques: Explore Skills to Create On-Trend Paintings Intro Free FREE 00:03:00 Art Supplies 00:06:00 Sketching the Motif 00:11:00 Color Palettes 00:04:00 Brush Control 00:06:00 Whitespace 00:02:00 Blending Colors on Paper 00:12:00 Making Watercolor Blooms 00:03:00 Paper: Wet vs Dry 00:04:00 Ombré Gradient Washes 00:06:00 Fixing Mistakes 00:05:00 Adding Details 00:03:00 Metallic Accents 00:12:00 Final Tips 00:02:00 Creating a gold leaf surface 01. Promo Video 00:02:00 02. Welcome from Your Instructor 00:02:00 03. Introduction to Gold Leaf 00:07:00 04. All About Supplies for Leafing 00:06:00 05. Step One - Preparing Your Surface for Leafing 00:08:00 06. Step Two - Applying Leaf Adhesive 00:06:00 07. Step Three - Applying Leaf and Burnishing 00:09:00 08. Step Four - Removing Excess Leaf 00:04:00 09. Step Five - Sealing the Leaf 00:07:00 Acrylic Painting on Gold Leaf 01. Introduction to Acrylic Painting Ideas on Gold Leaf 00:05:00 02. Final Sealing Process to Protect the Leaf 00:01:00 03. Key Concepts About Painting on Leaf 00:03:00 04. Subtle Glazing Techniques 00:14:00 05. Intensely Colored Glazing Techniques 00:05:00 06. Translucent Glazing Techniques 00:06:00 07. Using Glass Bead Gel on Gold Leaf 00:06:00 08. Acrylic Paint Color on Leaf 00:03:00 09. Sanding Effects on Leaf 00:04:00 10. Pastes and Special Effects on Leaf 00:07:00 New & Easy Color Mixing for Painters - in Acrylic & Oil 01. Promo Video 00:01:00 02. Introduction 00:10:00 03. Materials and Preparing Your Color Palette 00:21:00 04. Mixing Purples - And Secondary Colors 00:19:00 05. Mixing Reds - And Primary Colors 00:10:00 06. Mixing Neutral Colors 00:12:00 07. More Tips on Color 00:28:00 Drawing Human Actions to Master Figure Drawing and Painting Basic Steps to Drraw Human Body Parts Study of Body Actions Part 1 00:07:00 Study of Body Actions Part 2 00:03:00 Study On Body Formation and Actions Standing Pose of a Girl 00:05:00 Sitting Pose of a Girl on a Bench 00:04:00 Sleeping Pose of a Girl on the floor 00:06:00 Pose of a Girl Sitting on the Floor 00:06:00 Examples of Actions in real-life Situations Dancing Pose of a Girl 00:05:00 Actions of Playing Drum 00:05:00 Actions of a Football Player Kicking the Ball 00:05:00 Batting Pose of a Cricket Player 00:05:00 Professional Diploma in Canvas Painting 01. Painting 101 00:30:00 02. Understanding Paints 00:30:00 03. Choosing Your Brushes 00:30:00 05. Color Your World 00:03:00 06. Light Sources in Painting 00:05:00 07. What Type of Painter are you? 00:07:00 08. Choosing A Subject 00:10:00 09. Setting Up Your Studio 00:04:00 10. Art Supply Resources 00:08:00 11. Clean Up Time 00:05:00 12. Free Art Lessons 00:05:00 13. Take Care of Your Creation 00:30:00 14. Pay Attention to Detail 01:00:00 15. Enjoy Your Subject 00:30:00 16. Frequently Asked Questions 00:05:00 17. Art Schools 00:30:00 18. Museums of Fine Art 00:30:00 19. One Final Word 00:30:00 Assignment Assignment - Become A Professional Painter (Pack Of 6 Painting Course) 3 weeks, 3 days Order Your Certificate Order your Certificate QLS 00:00:00

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This course aims to provide learners with a comprehensive understanding of the nature and process of Information Systems Development, Software Development Process, Programming Language, Globalization and the role of IT, Information Systems Ethics, Acceptable Use Policies, Intellectual Property, Privacy in Information Systems and future trends. After the successful completion of the course, you will be able to learn about the following, Understand the nature and process of Information Systems Development, its lifecycle, and Implementation Methodologies. Learn about Software Development Processes, models and technologies. Understand the nature, generations and types of Programming Language. Appreciate the concept of Globalization and the role of IT in Globalization. Learn about Information Systems Ethics and the Code of Ethics. Appreciate Acceptable Use Policies and Intellectual Property in IT. The concept of Privacy in Information Systems, its challenges and future trends. This course will provide learners with an understanding of the nature and process of Information Systems Development and Implementation Methodologies. The course will cover the Software Development Process, including models and technologies, and the nature, generations, and types of Programming Language. Learners will also learn about the role of IT in Globalization and the impact of Information Systems on the global economy. This course will provide learners with an understanding of the nature and process of Information Systems Development and Implementation Methodologies. The course will cover the Software Development Process, including models and technologies, and the nature, generations, and types of Programming Language. Learners will also learn about the role of IT in Globalization and the impact of Information Systems on the global economy. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Recognizing Information Systems Development and Globalisation Self-paced pre-recorded learning content on this topic. Recognizing Information Systems Development and Globalization Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. IT Professionals Software Developers Programmers Business Owners & Entrepreneurs Managers and Executives Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.