3998 Courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for Administrators or application owners who are responsible for deploying and managing Kubernetes clusters and workloads Overview By the end of the course, you should be able to meet the following objectives: Describe the VMware Tanzu Mission Control architecture Configure user and group access Create and manage Kubernetes clusters Control access Create image registry, network, quota, security, custom and mutation policies Connect your on-premises vSphere with Tanzu Supervisor to VMware Tanzu Mission Control Create, manage, and back up VMware Tanzu Kubernetes Grid™ clusters Create and manage Amazon Elastic Kubernetes Service clusters Perform cluster inspections Manage packages in your clusters Monitor and secure Kubernetes environments During this two-day course, you focus on using VMware Tanzu© Mission Control? to provision and manage Kubernetes clusters. The course covers how to apply image registry, network, security, quota, custom, and mutation policies to Kubernetes environments. It focuses on how to deploy, upgrade, back up, and monitor Kubernetes clusters on VMware vSphere© with VMware Tanzu©, and it also covers package management using the VMware Tanzu Mission Control catalog. Course Introduction Introduction and course logistics Course Objectives What Is VMware Tanzu Mission Control Describe VMware Tanzu Mission Control Describe vSphere with Tanzu Describe Tanzu Kubernetes Grid Describe VMware Tanzu© for Kubernetes Operations Explain how to request access to VMware Tanzu Mission Control Describe VMware Cloud? services Describe the VMware Cloud services catalog Explain how to access VMware Tanzu Mission Control Identify the components of VMware Tanzu Mission Control Explain the resource hierarchy of VMware Tanzu Mission Control Access, Users, and Groups Explain VMware Cloud services and enterprise federation Describe VMware Cloud services roles Explain multifactor authentication Describe the VMware Tanzu Mission Control UI List the components of the VMware Tanzu Mission Control UI Describe the VMware Tanzu CLI Describe the VMware Tanzu Mission Control API Cluster Lifecycle Management Outline the steps for registering a management cluster to VMware Tanzu Mission Control Discuss what a management cluster is Describe provisioners Explain the purpose of a cloud provider account Describe Amazon Elastic Kubernetes Service Describe Azure Kubernetes Service Workload Clusters Describe Tanzu Kubernetes Grid workload clusters Explain how to create a cluster Explain how to configure a cluster Describe Amazon Elastic Kubernetes Service workload clusters Describe Azure Kubernetes Service workload clusters Explain how to attach a Kubernetes cluster Explain how to verify the connections to the cluster Describe cluster health Policy Management Explain how access policies grant users access to different resources Describe the policy model Describe the available policy types Explain how image registry policies restrict from which image registries container images can be pulled Outline how network policies are applied to clusters Discuss how security policies control deployment of pods in a cluster Discuss how quota policies manage resource consumption in your clusters Discuss how custom policies implement specialized policies that govern your Kubernetes clusters Describe mutation policies Explain how Policy Insights reports VMware Tanzu Mission Control policy issues Control Catalog Describe the VMware Tanzu Mission Control catalog Explain how to install packages Describe cert-manager Explain Service Discovery and ExternalDNS Describe Multus CNI and Whereabouts Describe Fluent-Bit Explain Prometheus and Grafana Describe Harbor Describe Flux Describe Helm Describe Git repositories Tanzu Mission Control Day 2 Operations Describe data protection Describe cluster inspections Explain life cycle management Describe VMware Aria Operations? for Applications Discuss VMware Tanzu© Service Mesh? Advanced edition Describe VMware Aria Cost? powered by CloudHealth©

Duration 3 Days 18 CPD hours This course is intended for This is an intermediate-level course for web developers with prior practical experience working with React. Overview Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore: React Native Essentials React Fundamentals: 7 steps of app development Building a React Native App / Case Study Core Components Core APIs Getting Started with React Native is a hands-on, intermediate level web development course geared for experienced web developers who need to build and design applications using React Native. Students will explore the core APIs and Components, applying these skills to the course case study project to create a React Native app in class. React Native: An Introduction What Is React Native, Exactly? What Does React Native Bring to the Table? Pros and Cons Introduction to React Native Prerequisites: How to Get React Native Baby Steps: A First App Getting Started with React Native Weather App Starting the project Expo Components Custom components React Fundamentals Breaking the app into components 7 step process Step 2: Build a static version of the app Step 3: Determine what should be stateful Step 4: Determine in which component each piece of state should live Step 5: Hardcode initial states Step 6: Add inverse data flow Updating timers Deleting timers Adding timing functionality Add start and stop functionality Methodology review Core Components, Part 1 What are components? Building an Instagram clone View StyleSheet Text TouchableOpacity Image ActivityIndicator FlatList Core Components, Part 2 TextInput ScrollView Modal Core APIs, Part 1 Building a messaging app Initializing the project The app Network connectivity indicator The message list Toolbar Geolocation Input Method Editor (IME) Core APIs, Part 2 The keyboard Day Four to Five or Time Permitting Navigation Navigation in React Native Contact List Starting the project Container and Presentational components Contacts Profile React Navigation Stack navigation Tab navigation Drawer navigation Sharing state between screens Deep Linking Testing Flow - Benefits of Using Flow Jest - Jest with React Native Snapshot Testing with Jest Building and publishing Building Building with Expo OS Android Handling Updates Additional course details: Nexus Humans Getting Started with React Native (TT4198) 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 Getting Started with React Native (TT4198) 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.

Duration 2 Days 12 CPD hours This course is intended for Sales engineers Account managers Networking engineers Technical and non-technical audiences Overview After taking this course, you should be able to: Understand the role that programmable infrastructure is having on the transition to the digital enterprise Describe Cisco DNA, its components and benefits, and explain a few use cases Describe the different technologies and solutions within the Cisco programmable infrastructure portfolio Describe Cisco DNA Center REST APIs Understand the functionality provided by Cisco WebEx Teams Describe Cisco CMX, services, and related APIs Describe the importance of DevOps culture within network operations in the shift to becoming a digital enterprise The Programming Use Cases for Cisco Digital Network Architecture (DNAPUC) v1.0 course highlights the shift toward the digital enterprise and examines the components, benefits, and use cases of Cisco Digital Network Architecture (Cisco DNA?) in an enterprise environment. You will learning about key platforms including Cisco© DNA Center, Cisco WebEx Teams?, Cisco Connected Mobile Experiences (CMX), and their related APIs. This course also covers open standards, tools, and network APIs that you can use to complement the Cisco DNA software portfolio, including Python, JavaScript Object Notation (JSON), Network Configuration Protocol (NETCONF), Representational State Transfer Configuration Protocol (RESTCONF), and Yet Another Next Generation (YANG). Understanding Programmable Infrastructure Digital Enterprise Four Pillars of Digitization Network Programmability and Automation What Should Be Automated? Quantifying Programmability and Automation for the Business Network Programmability and Automation Use Cases Introducing Cisco DNA Cisco DNA Overview Cisco DNA Components Benefits of Cisco DNA Cisco DNA Use Cases Describing Programmable Infrastructure Cisco Programmability Options Data Center Infrastructure Enterprise Network Programmability Streaming Telemetry Collaboration Management, Monitoring, and Analytics Describing Network APIs How APIs Enable Business Automation API Overview Data Encoding with JSON and XML RESTful APIs RESTCONF and NETCONF Overview Data Modeling with YANG Describing Cisco DNA Center APIs Cisco DNA Center Overview Cisco DNA Center Automation Enterprise Benefits Cisco DNA Center Applications and Use Cases Cisco DNA Center REST API Overview Case Study: Network Automation at Symantec Describing Cisco Collaboration APIs Cisco Webex Teams Overview Cisco Webex Teams Business Benefits Cisco Webex Teams API Overview Describing Cisco Mobility APIs Cisco CMX Overview Cisco CMX Programmability Business Benefits Cisco CMX Mobility Services API Overview Case Study: Victoria University and Cisco CMX Implementing DevOps Culture Within Network Operations Transition to DevOps CALMS Model (Culture, Automation, Lean, Measurement, Sharing) Role of Cisco Technology in the Transition to DevOps Additional course details: Nexus Humans Cisco Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) 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 Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) 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.

Duration 2 Days 12 CPD hours This course is intended for This is an introductory-level course for Administrators who are new to Jira (this is NOT for experienced Jira admin or users). Students should have a background in basic administration. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment, exploring several practical use cases that provide context as to where and when to use Jira, students will learn about: user management global and project permissions project roles schemes configuration of issue types, workflows, and screens Tracking issues is a critical component of any project management strategy. JIRA provides a web based single repository for creating, tracking and reporting on feature requests, bugs reported, or managing workflow. Geared for administrators new to Jira, JumpStart to Jira for Administrators | Jira Administration is a two-day, hands-on course that explores the most important tasks required to set up Jira, providing students with ample hands-on experience using common administration tasks. This hands-on course enables the Student to administer a JIRA instance and ?learn by doing?. The focus of this course is on Best Practices, and practical skills. Getting started with JIRA Administration JIRA conceptual review Core concepts Terminology Infrastructure JIRA roles Groups vs Roles Overview Project roles Creating a role Project scaling JIRA User management Project Resolution Project status Resolved status Resolution date Schemes Overview Project scope schemes Adding users to schemes Issue type schemes Notification schemes Permission schemes Issue security schemes working with schemes JIRA as a Platform Overview What can be configured Basic JIRA project setup Advanced project setup Workflows Overview Designing a workflow Defining a workflow Implementing a workflow Deploying workflows Workflow events Transitions and sub-tasks Custom Fields Overview Field types Field context Limiting contexts Adding contexts Screens and field configuration Best practices for custom fields User Lifecycle Overview Adding users Adding third-party users Modifying users Deactivating users Remote JIRA Access Overview Emails SQL REST Webhooks XML and RSS Command Line Interface Integrating JIRA with other applications Migrating Data into JIRA Overview Migration steps The CSV importer JIRA cloud migration Summary and Best Practices Looking back at the ?Big Picture? Optional - Jira Certification Prep Review Additional course details: Nexus Humans JumpStart to Jira for Administrators | Jira Administration (TTDV7540) 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 JumpStart to Jira for Administrators | Jira Administration (TTDV7540) 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.

Level 4 QLS Endorsed Diploma | 120 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Overview This Upgrade Your Excel Skills course will unlock your full potential and will show you how to excel in a career in Upgrade Your Excel Skills. So upskill now and reach your full potential. Everything you need to get started in Upgrade Your Excel Skills is available in this course. Learning and progressing are the hallmarks of personal development. This Upgrade Your Excel Skills will quickly teach you the must-have skills needed to start in the relevant industry. In This Upgrade Your Excel Skills Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Upgrade Your Excel Skills to help you advance your career. Acquire a comprehensive understanding of various Upgrade Your Excel Skills topics and tips from industry experts. Learn in-demand Upgrade Your Excel Skills that are in high demand among UK employers, which will help you to kickstart your career. This Upgrade Your Excel Skills course covers everything you must know to stand against the tough competition in the Upgrade Your Excel Skills field.  The future is truly yours to seize with this Upgrade Your Excel Skills. Enrol today and complete the course to achieve a Upgrade Your Excel Skills 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 Upgrade Your Excel Skills course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. 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Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Upgrade Your Excel Skills course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Unit 01: Introduction Welcome 00:02:00 Unit 02: Excel Productivity Tips -Part 1 Camera Tool 00:05:00 Add Line Break in Formula Bar 00:03:00 Advanced Copy-Paste using Office Clipboard 00:03:00 Navigation between Worksheets using Shortcut Keys 00:01:00 Flash Fill 00:02:00 Add Multiple Rows and Columns Quickly 00:02:00 Delete Blank Rows 00:03:00 Multi Level Row and Column Sorting 00:04:00 Add Sparklines 00:03:00 Paste Special - Transpose 00:03:00 Unit 03: Excel Productivity Tips - Part 2 Snap to Grid 00:03:00 Create Custom Auto fill List 00:06:00 Absolute Cell Reference 00:03:00 Import Data from Web page 00:04:00 Move Cell Direction 00:03:00 Delete Data using Mouse 00:02:00 Status Bar Quick Calculations 00:03:00 Link Text Boxes to Cell 00:04:00 Phone Number and ZIP Code Format 00:04:00 Speaking Cell 00:05:00 Unit 04: Excel Productivity Tips - Part 3 Invisible Text 00:03:00 Worksheet Grouping 00:04:00 Advanced Transpose 00:04:00 XLStart Folder 00:03:00 Use Slicers 00:05:00 Convert Text to Numbers 00:03:00 Hiding Workbook Elements 00:02:00 Useful Shortcut Keys 00:03:00 Sort data from Left to Right 00:03:00 Advanced Filter (Complex) 00:11:00 Unit 05: Excel Productivity Tips - Part 4 Email as PDF 00:02:00 Synchronous Scrolling 00:03:00 Quick Analysis of data within Excel 00:02:00 Fill blank cells with Value 00:03:00 Hidden Chart Source Data 00:03:00 Two more Shortcuts 00:03:00 Add Blank Rows 00:03:00 Custom views in Excel 00:06:00 EMBED Feature 00:04:00 Adding Country code in Mobile Numbers 00:04:00 Unit 05: Excel Productivity Tips - Part 5 Plot an Average Line to a Chart 00:04:00 3D Referencing 00:04:00 Extract Unique Values 00:03:00 Excel Array Formula 00:04:00 Forecast Sheet 00:04:00 Add Spin Controls in Excel 00:05:00 Move Data using Mouse 00:01:00 Add new entry in Auto Correct to use across Office Applications 00:05:00 Find Differences between Two Lists 00:02:00 Find formulas Quickly 00:02:00 Unit: 06 Wrap Up Thank You 00:01:00

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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

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And this Assertiveness and Self-Esteem Course is perfect for you in this regard. Learning Outcomes After completing Assertiveness and Self-Esteem Bundle course, the learner will be able to: Understand the fundamentals of self-esteem. Understand the fundamentals of assertiveness. Understand the importance of assertive communication. Understand the four basic styles of communication. Know how to respond to criticism. Gain a solid understanding of the XYZ formula for effective assertive communication. Gain in-depth knowledge of assertiveness in the workplace. Why Choose Assertiveness and Self-Esteem Bundle Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Assertiveness and Self-Esteem Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the Course. ***Courses are included in this Assertiveness and Self-Esteem Bundle Course Course 01: Assertiveness and Self-Esteem Course 02: Workplace Stress Management Course 03: Networking Skills Training ***Other Benefits of this Bundle Course Free 3 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate will provide as soon as completing the Assertiveness and Self-Esteem course ] This comprehensive and accurate Assertiveness and Self-Esteem Course is an excellent place to start your career. You will gain a practical and theoretical understanding of this course, which will help you stand out from the competition and increase your earning potential in no time. So, once you've finished this exceptional Assertiveness and Self-Esteem Course, you'll have the practical knowledge and skills to pursue a variety of career opportunities in the field of assertiveness and self-esteem. After completing this Assertiveness and Self-Esteem Course, you'll be ready to take on any challenge and start your career in your desired industries/sectors by developing your skills. This Assertiveness and Self-Esteem Course will also improve your existing skills by taking them to the next level and providing up-to-date knowledge for facing tomorrow's challenges. This Assertiveness and Self-Esteem Course allows you to monetise your skills and makes success much easier. This course is appropriate for both full-time and part-time students and can be completed at your own pace. Our Assertiveness and Self-Esteem Course is the ideal one-stop solution for you to manage stress and develop persistence in your Assertiveness and Self Esteem Development work. Simply enroll in our Assertiveness and Self-Esteem Course, and we will take care of the rest. Detailed course curriculum *** Assertiveness and Self-Esteem*** Module 1: Understanding Self Esteem Defining Self-Esteem Signs of Low and High Self-Esteem What Causes Low Self-esteem? How is Low Self-esteem Related to Mental Health? Strategies to Build Healthy Self-Esteem How to Increase Your Self-esteem? What Can Friends and Family Do Help? Module 2: Understanding Assertiveness What is Assertiveness? The Origins of Assertiveness The Assertive Journey The Confidence Lane The Four Basic Styles of Communication Assertiveness vs. Aggressiveness Assertiveness vs. Passiveness Assertive Styles With Body Language Responding to Criticism Module 3: Assertiveness in Communication Assertive Communication Importance of Assertive Communication Outcomes & Benefits of Assertiveness Important Facts About Assertiveness Facets of Assertiveness XYZ Formula for Effective Assertive Communication Applications of Assertiveness Module 4: Assertiveness in Workplace Managing Assertively Assertive Roles at Work Managing Workplace Conflict 'I' Messages or 'I' Statements Social Confidence ------------------------- ***Other Courses: ------------------------- ***Workplace Stress Management*** Course Curriculum Module 01: Workplace Stress Module 02: Rational and Irrational Beliefs Module 03: The ABC Framework of REBT Module 04: Cognitive Therapy (CT) Module 05: Cognitive Behavioural Therapy (CBT) in the Workplace Module 06: Conclusion ------------------------- ***Networking Skills Training*** Course Curriculum Module 01: An Overview of Networking Module 02: Preparing to Network Module 03: Overall Process of a Conversation Module 04: Following Up Connections ------------------------- Assessment Method After completing each module of the Assertiveness and Self-Esteem, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for Assertiveness and Self-Esteem course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Assertiveness and Self-Esteem is ideal for anyone who wants to understand why Self Esteem and Assertiveness skills are important, how to develop and improve them, and how to advance their career. Including: Managers Team Leaders Office Executives Office Administrators Employees Business people Secretaries Receptionists Requirements There are no specific requirements for Assertiveness and Self-Esteem because it does not require any advanced knowledge or skills. Students who intend to enrol in Assertiveness and Self-Esteem must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path This course will help you move forward in your career by providing you with relevant information, skills, and a certificate of completion. You can expect to be significantly closer to achieve your goals after successfully completing this Assertiveness and Self-Esteem course. It's also securing the job you want, getting the promotion you deserve, or starting the business of your dreams. Certificates Certificate of completion Digital certificate - Included