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The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. 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
This course will help you become familiar with the implementation of creational design patterns. Featuring real-world examples written in modern C++, each pattern is explained in detail to help you to understand how the pattern can be implemented efficiently using language features.
Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Administrator IT support personnel Helpdesk support staff The secondary audience for this course is as follows: Network Engineering Staff Overview Upon completing this course, the learner can meet these overall objectives: Demonstrate an overall understanding of the Cisco Unified Communications Manager (CUCM) system and its environment Configure CUCM to support IP Phones Configure Cisco Unified Communications Manager and IM&Presence to support Cisco Jabber soft client. Configure CUCM to route calls to internal and PSTN destinations Configure User accounts and multi-level administration Demonstrate the use of Self Care Portal functionality Configure user features, including Hunt Groups, Call Pickup, and Call Park. Define the capabilities of and demonstrate the Bulk Administration Tool Define the SMART Licensing model for Cisco Unified Communications Demonstrate the use of the Unified Reporting tool Demonstrate the use of the Dialed Number Analyzer Explain the function of Cisco Unity Connection and the various interfaces that are used to access the system Describe the components that are required for user call processing by Cisco Unity Connection Implement the various features and options that are available to users in Cisco Unity Connection Explore Cisco Unity Connection version features and functions Use the various applications, tools, and reports that are available in Cisco Unity Connection Administering Collaboration Environments (CLACE) is an instructor-led course presented by Skyline-ATS to system administrators and customers involved with the Cisco Unified Communications Manager and Cisco Unity Connection product's day-to-day operation. The CLACE course is the replacement for the CMA / UCA courses. CLACE is a lab-intensive course. The primary focus is learning by performing the configuration tasks. The amount of theory is limited to allow more time for discovery exercises. This course introduces you to the CUCM system, the necessary procedures for administering IP Phones and Users, understanding the Dial Plan, and implementing Features. The course also covers Jabber administration and Cisco Unity Connection administration features, options, and configuration settings. In addition to instructor-led lectures and discussions, you will configure CUCM and Cisco IP Phones in the lab, either in a live classroom or WebEx remote classroom environment. While the CUCM and CUC software used in the class is version 12.5.1, the course material applies to versions 8.x, 9.x, 10.x, 11.x, or 12.x of the applications. The concepts and the lab tasks are the same for most of the software versions. Define Collaboration Technology and Benefits Define Collaboration Benefits Describe On-Premise, Cloud, and Hybrid Deployments Describe On-Premise Collaboration Deployments Describe Cisco's Collaboration Endpoints Describe Cisco Collaboration On-Premise Edge Solutions Describe Cisco's Collaboration On-Premise Conferencing Solutions Describe Cisco Cloud Services Administering Initial Parameters for Cisco Unified Communications Manager Understand the On-Premise Collaboration Deployment Models Describe The Cisco Unified CM Cluster Services Define Network requirements for Collaboration Define Network Services for Collaboration Navigate Cisco Unified CM Discovery 1: Configure Cisco Unified Communications Manager Initial Parameters Explore Cisco Unified CM Groups Discovery 2: Configure the Cisco UCM Core Systems Settings Exploring Endpoints and the Registration Process Identify Cisco Endpoint Solutions Explore the Boot up Process of an Endpoint Describe Power Over Ethernet Discovery 3: Configure an Access Switch for an Endpoint Describe IP Network Settings Discovery 4: Deploy an IP Phone Through Auto and Manual Registration Discovery 5: Administer Endpoints in Cisco Unified Communications Manager Managing Users in Cisco Unified Communications Manager Analyze Cisco UCM Users Types and Settings Describe Methods for Authenticating Cisco UCM Users Discovery 6: Create Local User Accounts Discovery 7: Adding Users in Cisco Unified Communications Manager Describing a Basic Dial Plan Describe the Concepts of a Dial Plan and Call Routing Describe Elements of Call Routing Explore Digit Manipulation and Translation Patterns Discovery 8: Create a Basic Dial Plan Describing Class of Service Explore the Concepts of Class of Control Discovery 9: Explore Partitions and Calling Search Spaces Discovery 10: Explore Private Line Automatic Ringdown (PLAR) Enabling Endpoints and Features Configure a Cisco Jabber Endpoint in Cisco UCM Discovery 11: Implementing Common Endpoint Features (Configuring Hunt Groups and Call Coverage) Explore Mobility Discovery 12: Implement Mobility Implementing Media Resources in Cisco Unified Communications Manager Media Resource Overview Media Resource Selection and Access Control Audio and Video Conference Bridge Devices Audio and Video Conference Bridge Integration Options Discovery 13: Configuring Media Resources Reporting and Maintenance Explore the Troubleshooting Process Describe Reporting and Maintenance Tools Describe the Cisco Real-Time Monitoring Tool Discovery 14: Use Reporting and maintenance Tools Describing Cisco Instant Messaging and Presence Describe Cisco IM and Presence Features and Architecture Clustering Describe Cisco IM and Presence Components and Communication Flows Enabling Jabber Cisco Jabber Deployment Modes Discovery 15: Deploy an On-Premise Cisco Jabber Client for Windows Configure Unity Connection Integration Overview of Cisco Unity Connection Integration SIP Integration Typical Integration Mistakes Integration Considerations Discovery 16: Configure the integration between Cisco Unity Connection and Cisco UCM Discovery 17: Configure Voicemail Users Configuring Cisco Unity Connection Call Handlers Call handler Overview System Call Handler Caller Input Operator Call Handler Goodbye Call Handler Directory Handler Interview Handler Troubleshooting Cisco Unity Connection Overview of Cisco Unity Connection Troubleshooting Options Integration Troubleshooting Tools Cisco Real-Time Monitoring Tool Discovery 18: Troubleshoot Cisco Unity Connection Additional course details: Nexus Humans Cisco Administering Collaboration Environments (CLACE) 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 Cisco Administering Collaboration Environments (CLACE) 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.
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Learn about the types of life coaching and the key attributes of a life coach. Prepare yourself for the Life Coaching & Mentoring certification test. Familiarise yourself with the basics of spiritual life coaching. Explore the ethical and moral aspects of life coaching and protecting clients. Why Prefer Us for Advanced Diploma of Life Coaching & Mentoring - QLS Level 7 Endorsed with Mental Health Care? Earn a certificate endorsed by the Quality Licence Scheme and another certificate accredited by CPD QS after completing this course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support 4 Free Gifts are included in this Life Coaching & Mentoring course Free courses will cover the following topics: Free Course 01: Career Development Coach An Overview of Career Coaching The Career Seeker Aspects of Coaching and Mentoring Ethical Introduction to Personal Development Coach Development of Personality Essential UK Employment Law Fundamental Qualities of a Coach Motivating Your Clients Setting Up as a Coach Effective Communication Skills Free Course 02: Resilience Training Resilience-Dealing with Adversity and Setbacks Pathways to Resilience The Pillars of Resilience Training for Resilience Promoting Emotional Resilience - CASMT Mental Toughness & Resilience Free Course 03: Mental Health Care Introduction to Mental Health Mental Health in the Workplace Mental Health Legislation and Services Community Mental Health Teams (CMHTs) The Participation of the Service User Problem Definition Preparing for Brainstorming Generating Solutions (I) Generating Solutions (II) Analyzing Solutions Selecting a Solution Planning Your Next Steps Recording Lessons Learned Free Course 04: Diploma in Performance Management The Basics Goal Setting Establishing Performance Goals 360-Degree Feedback Competency Assessments Kolb's Learning Cycle Motivation The Performance Journal Creating a Performance Plan Method of Assessment of Advanced Diploma of Life Coaching & Mentoring MCQ Based Passing Marks 60% Unlimited Retake Exam Instant Assessment and Feedback Certification of Advanced Diploma of Life Coaching & Mentoring Quality Licence Scheme (QLS) Endorsed Certificate CPD Accredited (CPD QS) Certificate Digital (PDF) & Hardcopy Certificates are available CPD 250 CPD hours / points Accredited by CPD Quality Standards Module 01: Life Coaching: The Purpose and Fundamentals 18:50 1: Introduction Video Preview 01:30 2: Life Coaching: The Purpose and Fundamentals Preview 17:20 Module 02: Coaching and Mentoring Models 27:16 3: Coaching and Mentoring Models Part - 01 14:25 4: Coaching and Mentoring Models Part - 02 12:51 Module 03: Motivating Your Clients 10:21 5: Motivating Your Clients 10:21 Module 04: The Coach/Client Relationship 10:08 6: The Coach/Client Relationship 10:08 Module 05: Develop Your Self-Awareness 18:32 7: Develop Your Self-Awareness 18:32 Module 06: The Development of Core Beliefs and Managing Fears 16:47 8: The Development of Core Beliefs and Managing Fears 16:47 Module 07: Life Coaching Types and Key Attributes of a Life Coach 23:59 9: Life Coaching Types and Key Attributes of a Life Coach 23:59 Module 08: Understanding Emotional Intelligence 16:37 10: Understanding Emotional Intelligence 16:37 Module 09: Basics of Spiritual Life Coaching 15:53 11: Basics of Spiritual Life Coaching 15:53 Module 10: Understanding Spiritual Life Coaching 22:07 12: Understanding Spiritual Life Coaching 22:07 Module 11: Self-Improvement 08:06 13: Self-Improvement 08:06 Module 12: Passion 10:01 14: Passion 10:01 Module 13: Personal Skills 11:00 15: Personal Skills 11:00 Module 14: Management Skills 10:41 16: Management Skills 10:41 Module 15: Understanding the Importance of Personal Finance 11:22 17: Understanding the Importance of Personal Finance 11:22 Module 16: Understanding Personal Money Management 11:55 18: Understanding Personal Money Management 11:55 Module 17: Managing Personal Insurance 09:24 19: Managing Personal Insurance 09:24 Module 18: Designing a Personal Budget 08:48 20: Designing a Personal Budget 08:48 Module 19: Money and Mental Health 08:28 21: Money and Mental Health 08:28 Module 20: A Structure for Client Work and Goal Setting 15:26 22: A Structure for Client Work and Goal Setting 15:26 Module 21: Basic Principles for Business Development and Growth 19:40 23: Basic Principles for Business Development and Growth 19:40 Module 22: The Ethical Coach: Protect Yourself and Your Clients 16:26 24: The Ethical Coach: Protect Yourself and Your Clients 16:26 Final Words 01:00 25: Final Words 01:00 Assessment (Optional) 03:00 26: ASSIGNMENT ON - ADVANCED DIPLOMA IN LIFE COACHING AT QLS LEVEL 7 03:00 Order Your Certificate 02:00 27: Order Your CPD Certificate 01:00 28: Order Your QLS Endorsed Certificate 01:00 Recommendations! 01:00 29: Take your career to the next level with HF Online! 01:00 Free Course No 01: Career Development Coach 2:54:13 30: Module 01: An Overview of Career Coaching 16:13 31: Module 02: The Career Seeker 13:41 32: Module 03: Aspects of Coaching and Mentoring Ethical 15:25 33: Module 04: Introduction to Personal Development Coach 11:22 34: Module 05: Development of Personality 17:23 35: Module 06: Essential UK Employment Law 25:35 36: Module 07: Fundamental Qualities of a Coach 34:01 37: Module 08: Motivating Your Clients 11:42 38: Module 09: Setting Up as a Coach 15:18 39: Module 10: Effective Communication Skills 13:33 Free Course No 02: Resilience Training 1:52:01 40: Module 01: Resilience - Dealing with Adversity and Setbacks 12:12 41: Module 02: Pathways to Resilience 23:20 42: Module 03: The Pillars of Resilience 23:14 43: Module 04: Training for Resilience 22:35 44: Module 05: Promoting Emotional Resilience - CASMT 17:27 45: Module 06: Mental Toughness & Resilience 13:13 Free Course No 03: Mental Health Care 1:51:00 46: Module 01: Introduction to Mental Health 12:29 47: Module 02: Mental Health in the Workplace 13:38 48: Module 03: Mental Health Legislation and Services 18:07 49: Module 04: Community Mental Health Teams (CMHTs) 11:42 50: Module 05: The Participation of the Service User 12:42 51: Module 06: Problem Definition 06:34 52: Module 07: Preparing for Brainstorming 06:52 53: Module 08: Generating Solutions (I) 06:36 54: Module 09: Generating Solutions (II) 07:05 55: Module 10: Analyzing Solutions 05:19 56: Module 11: Selecting a Solution 04:34 57: Module 12: Planning Your Next Steps 02:44 58: Module 13: Recording Lessons Learned 02:38 Free Course No 04: Diploma in Performance Management 36:11 59: Module 01: The Basics (I) 05:53 60: Module 02: The Basics (II) 05:38 61: Module 03: Goal Setting 03:55 62: Module 04: Establishing Performance Goals 03:38 63: Module 05: 360 Degree Feedback 02:31 64: Module 06: Competency Assessments 02:39 65: Module 07: Kolb's Learning Cycle 02:09 66: Module 08: Motivation 03:17 67: Module 09: The Performance Journal 03:08 68: Module 10: Creating a Performance Plan 03:23 Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for you, if you: Wish to work as a life coach effectively. Wish to expand your knowledge and resources as a life coach. Want to add life coaching to the list of services you already provide as a counsellor, therapist, teacher, speaker, author, or other professional. Wish to become more knowledgeable about and comprehend the life coaching and mentoring sector. Desire a step-by-step system and effective instruments with outcomes that can be verified. Wish to increase your stature and self-assurance as a life coach. Requirements Students from all educational backgrounds are welcome to enrol in this Life Coaching & Mentoring course, which has no academic entry requirements. Career path After completing this Life Coaching & Mentoring course, you can explore trendy and in-demand jobs related to this course, such as: Life Coach - £25,000 to £50,000 Career Coach - £30,000 to £60,000 Executive Coach - £50,000 to £100,000 Health and Wellness Coach - £25,000 to £45,000 Business Coach - £35,000 to £70,000 Relationship Coach - £30,000 to £50,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. Advanced Diploma in Life Coaching at QLS Level 7 Hard copy certificate - £139 Show off Your New Skills with a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the Advanced Diploma in Life Coaching at QLS Level7, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 139 GBP inside the UK 149 GBP (including postal fees) for International Delivery Certificate Accredited by CPD QS Upon finishing the Life Coaching course, you need to order to receive aCertificate Accredited by CPD QS that is accepted all over the UK and also internationally. The pricing schemes are: 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)
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Learn how to use this powerful tool to import and clean data and create some amazing visuals. Course overview Duration: 2 days (13 hours) Power BI Desktop is a powerful tool for working with your data. It enables you to import multiple data sources and create effective visualisations and reports. This course is an introduction to Power BI to get you started on creating a powerful reporting capability. You should have a good working knowledge of Excel and managing data before attending. Objectives By the end of the course you will be able to: Import data from multiple data sources Edit and transform data before importing Create reports Create different visualisations Create data models Build data relationships Use the drill down features Create measures Use the Power BI Service Build dashboards Use the mobile app Content Essentials Importing Data Power BI Overview Data sources Importing data Transforming Your Data Editing your data Setting data types Removing columns/rows Choosing columns to keep Setting header rows Splitting columns Creating Reports Creating and saving reports Adding pages Renaming pages Interactivity Refreshing your data Adding Columns Columns from example Custom columns Conditional columns Append Queries Importing folders Setting up and using append queries Creating Chart Visualisations Adding chart elements Choosing chart types Setting properties Setting values, axis and legends Using tooltips Visual filters Setting page and report filters Creating Tables, Cards, Gauges and Maps Adding table elements Adding maps Working with cards Working with matrices KPIs and Gauges Conditional Formatting Setting rules Removing conditional formatting Working with Data Models Merge Queries Setting up and using merge queries Merging in columns of data Creating a Data Model The data model Multiple data tables Connecting tables Building relationships Relationship types Building visuals from multiple tables Unpivoting Data Working with summary data Unpivoting data Using Hierarchies Using built in hierarchies Drill down Drill up See next level Expand a hierarchy Create a new hierarchy Grouping Grouping text fields Grouping date and number fields Creating Measures DAX functions DAX syntax Creating a new measure Using quick measures Using the PowerBI Service Shared workspaces My workspace Dashboards Reports Datasets Drill down in dashboards Focus mode Using Q&A Refreshing data Using Quick Insights Power BI Mobile App Using the Power BI Mobile App