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Using Blueprints in UE5, you can learn game development without coding. This beginner-friendly course will teach you how to use Unreal Engine's visual coding system. There is no prior experience required, and each lesson will gradually increase your knowledge.

In today's digital age, the realm of Information Technology (IT) has become an integral part of every industry. Whether you're an IT enthusiast or someone from a non-IT background, understanding the core concepts of IT can be a game-changer for your career. Our course, 'IT Skills for IT / Non - IT Professionals', is meticulously designed to bridge the knowledge gap, offering a comprehensive insight into the world of IT. From the basics of hardware and software to the intricacies of networking and security, this course ensures you're well-equipped to navigate the digital landscape. Dive deep into the realms of databases, virtualisation, and cloud technologies, and discover the myriad opportunities that the IT sector has to offer. Learning Outcomes: Understand the foundational concepts and components of Information Technology. Gain knowledge about the intricacies of hardware, operating systems, and applications. Acquire insights into the principles of networking, security, and traffic flow in IT. Familiarise with storage solutions, database management, and cloud technologies. Recognise the various management roles and job opportunities within the IT sector. Why buy this IT Skills for IT / Non - IT Professionals course? 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 IT Skills for IT / Non - IT Professionals 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 IT Skills for IT / Non - IT Professionals course for? Individuals looking to transition into the IT sector from non-IT backgrounds. Professionals keen on updating their IT knowledge to stay relevant in their current roles. Entrepreneurs aiming to integrate IT solutions into their business operations. Students aspiring to build a foundational understanding of IT before specialising. Job seekers wanting to enhance their CV with essential IT skills. Prerequisites This IT Skills for IT / Non - IT Professionals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. Career path IT Manager: £45,000 - £65,000 per annum Network Engineer: £30,000 - £50,000 per annum Database Administrator: £35,000 - £55,000 per annum Cloud Solutions Architect: £60,000 - £80,000 per annum IT Security Specialist: £40,000 - £60,000 per annum Systems Analyst: £35,000 - £55,000 per annum Course Curriculum Section 1: Introduction Unit 1: Introduction 00:01:00 Unit 2: Course Outline 00:06:00 Section 2: Information Technology Unit 1: Facts about Information Technology (IT) 00:05:00 Unit 2: What is Information Technology & How IT Works 00:02:00 Section 3: Components of IT Unit 1: IT Components 00:02:00 Section 4: Hardware Unit 1: What is Hardware 00:02:00 Unit 2: Examples of Computer 00:02:00 Unit 3: Computer Hardware Manufacturers 00:04:00 Unit 4: Hardware Jobs 00:05:00 Section 5: Operating System Unit 1: What is Operating System 00:02:00 Unit 2: Examples of Operating System 00:08:00 Unit 3: Operating System Jobs 00:10:00 Unit 4: OS Tools Related Jobs 00:02:00 Section 6: Application/Software Unit 1: What is Application/Software 00:03:00 Unit 2: Software Building Tools and Languages 00:03:00 Unit 3: Software/Application Building Jobs 00:03:00 Unit 4: Software/Application User Jobs 00:03:00 Section 7: Networking Unit 1: What is Computer Networking 00:02:00 Unit 2: Computer Network Companies 00:02:00 Unit 3: Network Jobs 00:04:00 Section 8: Security Unit 1: What is Computer Security 00:02:00 Unit 2: Security Companies 00:01:00 Unit 3: Security Jobs 00:03:00 Section 9: Traffic Flow & Enterprise Level IT Components Unit 1: How Information Flow within IT 00:02:00 Unit 2: Enterprise Level IT Components 00:02:00 Section 10: Storage Unit 1: What is Storage 00:05:00 Unit 2: Storage Companies and Technologies 00:02:00 Unit 3: Jobs in Storage 00:02:00 Section 11: Database Unit 1: What is Database 00:02:00 Unit 2: Database Type and Technologies 00:04:00 Unit 3: Database Jobs 00:02:00 Section 12: Virtualisation & Cloud Unit 1: What is Virtualisation 00:03:00 Unit 2: What is Cloud Technology 00:02:00 Unit 3: Virtualisation and Cloud Companies 00:02:00 Unit 4: Virtualisation and Cloud Jobs 00:02:00 Section 13: Management & Other IT Jobs Unit 1: IT Management Jobs 00:03:00 Unit 2: Other IT Jobs 00:09:00 Assignment Assignment - IT Skills for IT / Non - IT Professionals 00:00:00

Do you want to learn basic Linux system administration using real-world applied learning? Do you want to learn how to install and configure a Linux server? Do you prefer learning using hands-on as opposed to just a lecture and quiz? If you have answered yes to these questions, then you have chosen the right course.

This Paediatric First Aid Course will teach you how to give first aid to children during emergency situations.

Description: Painting is a medium of expression since a lot of artists use it to express their feelings or other significant events in their life. If you would like to express yourself and bring out your hidden artistic and creativity skills, consider getting this Diploma in Art and Painting. This Diploma in Art and Painting is designed for developing you basic knowledge and skills in art and painting. The course is divided into five modules and will help you focus on several different topics. You will get knowledge in canvas painting like understanding paints and how to choose brushes to use for your art. You will also be able to become a professional painter by learning to incorporate your painting skills and use this to offer your services as a business to those who need it. Lastly you will also learn about pencil art and the basics of drawing and sketching. There is a lot more covered within the course and if you are truly dedicated in succeeding as an artist you should consider getting this course now. Who is the course for? Artists or painters who want home paintings as a business. People who have an interest in professional painting Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: Diploma in Art and Painting is a useful qualification to possess, and would be beneficial for the following careers: Visual Artists Portrait Specialist Sketch Artists Logo Designers Updated Version-Diploma in Art and Painting Introduction Introduction to Drawing and Painting 00:03:00 Materials 00:08:00 Perspective What is a Horizone Line 00:11:00 One Point Perspective of a Cube 00:10:00 Two Point Perspective of a Cube 00:12:00 Perspective of a Cylinder 00:17:00 How to draw a Perfect Sphere 00:09:00 Shading Shading a Sphere 00:22:00 Shading a Cylinder 00:18:00 Shading a Cube 00:13:00 Measuring How to Measure 00:07:00 Still Life Drawing Compostion and placement 00:09:00 Finding the perspective and drawing the box 00:18:00 Constructing the Cup 00:22:00 Drawing the Drapes 00:05:00 Shading - Part 1 00:14:00 Shading - Part 2 00:19:00 Shading - Part 3 00:22:00 Drawing a Portrait Drawing a Face - Part 1. Construction 00:21:00 Drawing a Face - Part 2. Refining the features 00:10:00 Drawing a Face - Part 3. Shading 00:18:00 Drawing a Face - Part 4. Final touches 00:12:00 Drawing a Tree Drawing a Tree 00:16:00 Order Your Certificate Order Your Certificates and Transcripts 00:00:00 Old Version-Diploma in Art and Painting Module-1 Painting 101 00:30:00 Understanding Paints 00:30:00 Choosing Your Brushes 00:30:00 Color Your World 00:30:00 Light Sources in Painting 00:30:00 What type of painter are you? 00:30:00 Module-2 Choosing A Subject 01:00:00 Setting Up Your Studio 00:30:00 Art Supply Resources 01:00:00 Clean Up Time 00:30:00 Free Art Lessons 01:00:00 Take Care of Your Creation 00:15:00 Module-3 Pay Attention to Detail 01:00:00 Enjoy Your Subject 01:00:00 Frequently Asked Questions 00:30:00 Art Schools 00:30:00 Museums of Fine Art 00:15:00 One Final Word 01:00:00 Module-4 INTRODUCTION 01:00:00 BRIEF HISTORY OF PENCIL DRAWING 00:15:00 GETTING STARTED 01:00:00 LEARNING THE BASICS OF DRAWING AND SKETCHING 01:00:00 Basic Perspectives on Drawing 01:00:00 Basic Elements of Light, Shadows, and Shading 01:00:00 Different Shading Techniques 00:15:00 How to Add Tones and Values? 00:30:00 FINISHING TOUCHES 00:30:00 MIXED MEDIA APPLICATIONS 01:00:00 Drawing with Pencils in Oil Painting 01:00:00 CONCLUSION 00:15:00 Module-5 Start Your Own Art Business 00:15:00 Steps to Creating a Successful Business from Your Art 01:00:00 How to Write an Artist Business Plan 00:30:00 Module-6 Introduction 00:30:00 Incorporate Your Business 01:00:00 Employing Or Contracting - What Is The Difference? 00:30:00 From Where Can You Hire Workers 01:00:00 Getting Insurance 01:00:00 Getting Ready - Portfolios, Flyers And Cards 00:30:00 What Do You Need For Outdoor Painting 01:00:00 What Do You Need To Know About Indoor Painting 01:00:00 Fancy Indoor Painting Touches - How To Get Them 00:30:00 Paint Primer 101 01:00:00 How To Get Customers 01:00:00 The Non-Paying Customers! 00:30:00 Mock Exam Mock Exam- Diploma in Art and Painting 00:20:00 Final Exam Final Exam- Diploma in Art and Painting 00:20:00

Duration 5 Days 30 CPD hours This course is intended for Operators, administrators, and architects for VMware Horizon should enroll in this course. These individuals are responsible for the creation, maintenance, and or delivery of remote and virtual desktop services. Additional duties can include the implementation, support, and administration of an organization's end-user computing infrastructure. Overview By the end of the course, you should be able to meet the following objectives: Recognize the features and benefits of Horizon Use VMware vSphere to create VMs to be used as desktops for Horizon Create and optimize Windows VMs to create Horizon desktops Install and configure Horizon Agent on Horizon desktop Configure and manage the VMware Horizon Client™ systems and connect the client to a VMware Horizon desktop Configure, manage, and entitle desktop pools of full VMs Configure, manage, and entitle pools of instant-clone desktops Create and use Remote Desktop Services (RDS) desktops and application pools Monitor the Horizon environment using Horizon Console Dashboard and Horizon Help Desk Tool Identify Horizon Connection Server installation, architecture, and requirements. Describe the authentication and certification options for a Horizon environment Recognize the integration process and benefits of VMware Workspace ONE Access™ and Horizon 8 Discuss performance and scalability options available in Horizon 8 Describe different security options for the Horizon environment VMware Horizon 8: Deploy and Manage is a five-day combination course of VMware Horizon 8: Skills for Virtual Desktop Management & VMware Horizon 8: Infrastructure Administration. This training collection gives you the hands-on skills to deliver virtual desktops and applications through a single virtual desktop infrastructure platform. You will build on your skills in configuring and managing VMware Horizon© 8 through a combination of lecture and hands-on labs. You learn how to configure and deploy pools of virtual machines and how to provide a customized desktop environment to end-users. Additionally, you will learn how to install and configure a virtual desktop infrastructure platform. You learn how to install and configure VMware Horizon© Connection Server?, VMware Unified Access Gateway?, how to configure a load balancer for use with Horizon, and how to establish Cloud Pod Architecture. Course Introduction Introductions and course logistics Course objectives Introduction to VMware Horizon Recognize the features and benefits of Horizon Describe the conceptual and logical architecture of Horizon Introduction to Use Case Define a use case for your virtual desktop and application infrastructure Convert customer requirements to use-case attributes vSphere for Horizon 8 Explain basic virtualization concepts Use VMware vSphere© Client? to access your Center Server system and VMware ESXi? hosts Create, provision, and remove a virtual machine VMware Horizon Desktops Create a Windows and a Linux virtual machine using vSphere Optimize and prepare Windows and Linux virtual machines to set up Horizon desktop VMs VMware Horizon Agents Outline the configuration choices when installing Horizon Agent on Windows and Linux virtual machines Create a gold master for Windows Horizon desktops VMware Horizon Pools Identify the steps to set up a template for desktop pool deployment List the steps to add desktops to the VMware Horizon© Connection Server? inventory Compare dedicated-assignment and floating-assignment pools Outline the steps to create an automated pool Define user entitlement Explain the hierarchy of global, pool-level, and user-level policies VMware Horizon Client Options Describe the different clients and their benefits Access Horizon desktop using various Horizon clients and HTML Configure integrated printing, USB redirection, and the shared folders option Configure session collaboration and media optimization for Microsoft Teams Creating and Managing Instant-Clone Desktop Pools List the advantages of instant clones Explain the provisioning technology used for instant clone desktop pools Set up an automated pool of instant clones Push updated images to instant clone desktop pools Creating RDS Desktop and Application Pools Explain the difference between an RDS desktop pool and an automated pool Compare and contrast an RDS session host pool, a farm, and an application pool Create an RDS desktop pool and an application pool Access RDS desktops and application from Horizon Client Use the instant clone technology to automate the build-out of RDSH farms Configure load-balancing for RDSHs on a farm Monitoring VMware Horizon Monitor the status of the Horizon components using the Horizon Administrator console dashboard Monitor desktop sessions using the HelpDesk tool Course Introduction Introductions and course logistics Course objectives Horizon Connection Server Recognize VMware Horizon reference architecture Identify the Horizon Connection Server supported features Identify the recommended system requirements for Horizon Connection Server Configure the Horizon event database Outline the steps for the initial configuration of Horizon Connection Server Discuss the ADAM database as a critical component of Horizon Connection Server installation Authentication and Certificates Compare the authentication options that Horizon Connection Server supports Describe the Smartcard authentication options that Horizon Connection Server supports Outline the steps to create a Horizon administrator and custom roles Describe the roles available in a Horizon environment Explain the role that certificates play for Horizon Connection Server Install and configure certificates for Horizon Connection Server Install and configure True SSO in a Horizon environment Workspace ONE Access & Virtual Application Management Recognize the features and benefits of Workspace ONE Access Recognize the Workspace ONE Access console features Explain identity management in Workspace ONE Access Explain access management in Workspace ONE Access Describe the Workspace ONE Access directory integration Describe the Workspace ONE Access directory integration Deploy virtual applications with Workspace services Horizon Protocols Compare the remote display protocols that are available in VMware Horizon Describe the BLAST Display Protocol Codecs Describe BLAST and PCoIP ADMX GPO common configurations Graphic Cards Describe the 3D rendering options available in Horizon 8 Compare vSGA and vDGA List the steps to configure graphics cards for use in a VMware Horizon environment Horizon Scalability Describe the purpose of a replica connection server Explain how multiple Horizon Connection Server instances in a pod maintain synchronization Explain Horizon Cloud Pod Architecture LDAP replication and VIPA Explain Horizon Cloud Pod Architecture scalability options Horizon Security Explain concepts relevant to secure Horizon connections Describe how to restrict Horizon connections. Discuss the benefits of using Unified Access Gateway List the two-factor authentication options that are supported by Unified Access Gateway List Unified Access Gateway firewall rules Describe the situation in which you might deploy Unified Access Gateway instances with one, two, or three network interfaces Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Horizon 8: Deploy and Manage 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 VMware Horizon 8: Deploy and Manage 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.

Assuming that you don't know anything about web scraping, Scrapy, Python, web scraping, or even the meaning of web scraping-the author starts from the complete basics. A well-balanced course with theory and practical content followed by three projects at the end ensures you have the right skills to learn scraping.

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 - Python Machine Learning & Data Science Fundamentals 00:00:00

Did you know that information technology is one of the fastest-growing fields in the technology industry? To meet employers’ growing demand, Janets has developed an IT Administrator Diploma to give students a kickstart in the field. You can become entrusted to implement and maintain computer systems, mobile devices, databases, and more through the IT Administrator Diploma. Thanks to our hands-on learning method using real hardware and software, you will receive individualised assistance from teachers and quickly develop the practical skills you need to succeed in the IT business. Learning Outcomes You will be able to install and configure software applications efficiently. You will be capable of troubleshooting and repairing hardware components effectively. Gain the skills to implement robust security measures to protect IT systems. Acquire proficiency in setting up and maintaining computer networks. Develop basic IT literacy encompassing fundamental concepts and terminology. Demonstrate proficiency in conducting software installations and updates proficiently. Execute hardware diagnostics and resolve technical issues with precision. Implement security protocols to safeguard against cyber threats and data breaches. Configure and manage network infrastructure to ensure optimal performance and connectivity. Apply IT principles and practices to enhance organisational productivity and efficiency. Why choose this course Affordable, Accessible, informative and well-structured study materials Earn a globally recognised accredited qualification Study in your own time, at your own pace, through any device Benefit from feedback through mock exams and multiple-choice assessments Excellent career advancement/career switch opportunities Get 24/7 help or advice from our email and live chat teams Who is this course for Aspiring IT professionals seeking to kickstart a career in system administration and network management. Individuals interested in acquiring foundational knowledge and skills in IT administration and support. Employees looking to enhance their IT literacy and expand their job opportunities in various industries. Entrepreneurs or small business owners aiming to manage their IT systems more effectively. Students pursuing higher education in computer science or related fields who require IT skills. Entry requirements This course is available to learners of all academic backgrounds, but you must be 16 or above to undertake the qualification. Apart from that, all you need is an internet connection, a good understanding of English and a passion for learning. Certification Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Method of Assessment On successful completion of the IT Administrator Diploma, you will be required to sit an online multiple-choice assessment. You will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. The assessment will be evaluated automatically and the results will be given to you immediately. Career path IT Administrator Network Administrator Systems Administrator IT Support Specialist Help Desk Technician Technical Support Engineer Information Systems Manager Network Security Analyst Course Content Module 01: Software Module 02: Hardware Module 03: Security Module 04: Networking Module 05: Basic IT Literacy

Description Nowadays, SQL Developers are in-demand and becoming a SQL developer can be a rewarding and fulfilling profession. This SQL Masterclass: SQL for Data Analytic is intended for absolute beginners that concentrate on giving the appropriate knowledge of Microsoft SQL Server and help to acquire the skills and abilities to become an SQL Server developer as well as offer many job opportunities in the competitive job market. In this course, you will learn how to create databases, tables, design databases and tables. You will also learn to create flat file database, confidently use SSMS Tool as well as write basic T-SQL Queries. In addition to that, learn to create constraints and views in the most dynamic way possible. Enrol right now and start exploring SQL, the most popular relational database management system. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. SQL for Data Analytic - Beginner Level Module: 01 Introduction FREE 00:16:00 Tools for Creating Views 00:11:00 Examples 00:21:00 Updating Data Using a View 00:13:00 Columns and Indexed Views 00:18:00 Module: 02 Introduction Stored Procedures 00:18:00 Creating Stored Procedures 00:19:00 Returning Data 00:14:00 Module: 03 Testing and Debugging 00:17:00 Execute with Result Sets 00:11:00 Creating Triggers 00:26:00 Module: 04 Overview and Scalar Functions 00:20:00 Inline Table Valued Functions 00:11:00 Multi Statement 00:16:00 Views and Stored Procedures 00:18:00 Module: 05 Transaction Concepts 00:30:00 Applications and Transactions 00:13:00 Creating Explicit Transactions 00:29:00 Structured Error Handling 00:25:00 Module: 06 Introduction to SQL CLR 00:08:00 Writing SQL CLR Code 00:24:00 Using SQL CLR Code 00:22:00 SQL CLR Code 00:13:00 SQL CLR Security 00:20:00 SQL for Data Analytic - Intermediate Level Module: 07 Topic A Aggregates FREE 00:27:00 Topic B User Defined Types 00:17:00 Topic C Table and Functions 00:10:00 Topic D Managing Code Modules 00:08:00 Module: 08 Topic A Introduction Data Tools 00:19:00 Topic B Connected Database Development 00:20:00 Topic C Updating a Connected Database 00:16:00 Module: 09 Topic A Creating New Objects with TSQL 00:12:00 Topic B Comparing Database Schemas 00:10:00 Topic C Offline Database Development 00:13:00 Topic D Database Project Settings 00:18:00 Module: 10 Topic A Using APPLY 00:15:00 Topic B MERGE Statement 00:23:00 Topic C Creating Recursive Queries 00:08:00 Topic D Grouping Sets 00:12:00 Module: 11 Topic A ROLLUP and CUBE Operators 00:12:00 Topic B Creating Pivot Queries 00:14:00 Topic C Executing Dynamic SQL 00:28:00 Module: 12 Topic A Complex Query Execution 00:26:00 Topic B Using Execution Plans 00:16:00 Topic C Execution Plan Operators 00:12:00 Topic D Common Join Operators 00:16:00 Module: 13 Topic A Hierarchy ID Data Type 00:12:00 Topic B Exploring a Hierarchy 00:09:00 Topic C Sparse Columns 00:16:00 Topic D Column Sets 00:12:00 Module: 14 Topic A Filtered Indexes 00:09:00 Topic B FILESTREAM Storage 00:22:00 Topic C Adding Sequences to Queries 00:22:00 Module: 15 Topic A Introduction to Spatial Data 00:13:00 Topic B Spatial Data in SQL Server 00:23:00 Topic C Manipulating Spatial Shapes 00:10:00 Topic D Interactions Between Objects 00:09:00 SQL for Data Analytic - Advanced Level Module: 16 Topic A Partitioning FREE 00:20:00 Topic B Creating Partition Tables 00:30:00 Topic C Querying Partitions 00:14:00 Topic D Managing Partitions 00:17:00 Module: 17 Topic A Complex Querying 00:22:00 Topic B Rankings 00:15:00 Topic C SubQueries 00:21:00 Topic D Common Table Expressions 00:17:00 Module: 18 Topic A Complex Data and Structures 00:26:00 Topic B Efficient Queries 00:36:00 Topic C Complex Queries 00:17:00 Module: 19 Topic A XML Data Type 00:28:00 Topic B XML Schemas 00:17:00 Topic C Querying XML 00:20:00 Topic D Best Practices 00:08:00