4288 Courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

Duration 5 Days 30 CPD hours This course is intended for This course is for professionals who need knowledge about implementing various Service Provider core technologies and advanced routing technologies. Network administrators System engineers Project managers Network designers Overview After taking this course, you should be able to: Describe the main characteristics of routing protocols that are used in Service provider environments Implement advanced features of multiarea Open Shortest Path First (OSPFv2) running in Service Provider networks Implement advanced features of multilevel Intermediate System to Intermediate System (ISIS) running in Service Provider networks Configure route redistribution Configure Border Gateway Protocol (BGP) in order to successfully connect the Service Provider network to the customer or upstream Service Provider Configure BGP scalability in Service Provider networks Implement BGP security options Implement advanced features in order to improve convergence in BGP networks Troubleshoot OSPF, ISIS, and BGP Implement and verify MPLS Implement and troubleshoot MPLS traffic engineering Implement and verify segment routing technology within an interior gateway protocol Describe how traffic engineering is used in segment routing networks Implement IPv6 tunneling mechanisms Describe and compare core multicast concepts Implement and verifying the PIM-SM protocol Implement enhanced Protocol-Independent Multicast - Sparse Mode (PIM-SM) features Implement Multicast Source Discovery Protocol (MSDP) in the interdomain environment Implement mechanisms for dynamic Rendezvous Point (RP) distribution The Implementing Cisco Service Provider Advanced Routing Solutions (SPRI) 5-day course teaches you theories and practices to integrate advanced routing technologies including routing protocols, multicast routing, policy language, Multiprotocol Label Switching (MPLS), and segment routing, expanding your knowledge and skills in service provider core networks. This course prepares you for the 300-510 Implementing Cisco© Service Provider Advanced Routing Solutions (SPRI) exam. The course qualifies for 40 Cisco Continuing Education credits (CE) towards recertification. This course will help you: Gain the high-demand skills to maintain and operate advanced technologies related to Service Provider core networks Increase your knowledge and skills for implementing Service Provider core advanced technologies though hands-on application and practical instruction Prepare to take the 300-510 SPRI exam Course Outline Implementing and Verifying Open Shortest Path First Multiarea Networks Implementing and Verifying Intermediate System to Intermediate System Multilevel Networks Introducing Routing Protocol Tools, Route Maps, and Routing Policy Language Implementing Route Redistribution Influencing Border Gateway Protocol Route Selection Scaling BGP in Service Provider Networks Securing BGP in Service Provider Networks Improving BGP Convergence and Implementing Advanced Operations Troubleshooting Routing Protocols Implementing and Verifying MPLS Implementing Cisco MPLS Traffic Engineering Implementing Segment Routing Describing Segment Routing Traffic Engineering (SR TE) Deploying IPv6 Tunneling Mechanisms Implementing IP Multicast Concepts and Technologies Implementing PIM-SM Protocol Implementing PIM-SM Enhancements Implementing Interdomain IP Multicast Implementing Distributed Rendezvous Point Solution in Multicast Network

Duration 4 Days 24 CPD hours This course is intended for Systems Administrators and EngineersTechnical Solutions ArchitectsSystems IntegratorsChannel PartnersValue-Added Resellers Overview Understand the B-Series and C-Series product line similarities and differencesDescribe the C-Series standalone and UCS managed architectures Understand the process for upgrading B-Series and C-Series FirmwareAdministering service profiles, pools, and policiesUnderstanding RBAC with Active Directory integrationAdministering backup and restores in UCS ManagerLearn and discuss the various management tools for Cisco UCSPerform basic troubleshooting of B-Series and C-Series in normal operations Using real-world scenarios and examples, this course will explore all of the components of the UCS B-Series and C-Series solutions from a day to day administrative point of view. UCS Infrastructure Components Cisco UCS Servers and Components Exploring Cisco UCS User Interfaces Cisco UCS Management Framework and Features Administering Cisco C-Series Servers Describing Cisco UCS C-Series Servers Cisco UCS C-Series Integrated Management Controller Provisioning Monitoring and Logging on the Cisco UCS C-Series Server Provisioning Cisco UCS C-Series Server Integration in UCS Manager Updating Cisco UCS C-Series Firmware with the Host Upgrade Utility Troubleshooting C-Series Standalone and UCS Managed Environments Administering Cisco B-Series Servers RBAC, Organizations, and Active Directory Integration Configuring Compute Node LAN Connectivity Configuring Compute Node SAN Connectivity Creating Identity and Resource Pools Creating Service Profiles Creating Templates and Cloning Service Profiles Managing Service Profiles Operating System Installation Options Backing Up and Restoring UCSM Database Upgrading UCS B-Series Firmware Troubleshooting Cisco UCS B-Series Configuration Troubleshooting Cisco UCS B-Series Operation UCS Management Tools UCS Management Tool Overview Integrating UCS Manager with UCS Central Managing UCS Using the Cisco UCS PowerTool Additional course details: Nexus Humans Cisco Administering Cisco Data Center Unified Computing System (DCUCA) 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 Cisco Data Center Unified Computing System (DCUCA) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This course will equip you with the skills to work with every group of people ranging from children, adolescents, adults and people with disabilities. You will also learn how to drive a successful management system within a care home as well as how to develop community care in social services. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Know what sports first aid is and why it is vital Understand the role of the sports coach or the first responder to injuries Identify the best practices for injury and illness prevention Discover the most common injuries in terms of sports casualties Learn about some serious injuries and how to treat and prevent them Learn about the injuries that can occur during outdoor activities Know how to administer first aid and lead rescue operations in case of water sports Learn how to perform CPR and how to use AED Learn how to report injuries, including how to comfort and reassure the injured person Know how to evaluate an injury and check for pre-existing health issues Learn how to manage and prevent an injury Social Worker Training Diploma Overview In order to keep current in the field of social work, you must use the most recent research, grasp the new rules and regulations, retain your licence or professional credential, and obtain extra training to address the demands of an ageing population that requires constant social care assistance. This Social Worker Training Diploma Online will provide you with the necessary skills and experience required for the job. It is excellent for both beginners and those who are presently employed as a health and social care workers or social and community workers. This comprehensive Social Worker Training Diploma Online provides valuable insight into the UK's healthcare system, including the codes of conduct and regulations that must be maintained. You will also gain knowledge about the principles, theories and practice models of social work. This course highlights how equality and diversity can be maintained in health and social care including the key aspects of achieving underpinning quality health and social care work in the UK. Finally, you will learn how to design an effective care plan and implement it within a social care environment. Upon successful completion of this Social Worker Training Diploma Online, you will be able to make a difference by aiding and assisting society's most vulnerable people. Who should take this course? This Social Worker Training Diploma Online is suitable for: Nurse Doctors Social care workers Aspiring Social Care worker Students in the Public Health Care field Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this course will set you up with a solid foundation to become a confident health and social care worker or social and community worker and develop more advanced skills. This training is not, however, confined to a single profession or industry. It may also be valuable to a broader audience of people who want to learn more about the basics of social care. Entry Requirements There are no academic entry requirements for this Social Worker Training Diploma Online, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Social Worker Training Diploma Online assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Course Curriculum Module 1: What Is Social Work And Community Care What Is Social Work And Community Care Module 2: Principles Of Social Work Principles Of Social Work Module 3: Theories And Practice Models Of Social Work Theories And Practice Models Of Social Work Module 4: Collaboration in social work Collaboration in social work Module 5: Relationship-based practice Relationship-based practice Module 6: About Health and Social Care About Health and Social Care Module 7: Overview of the UK HealthCare System Overview of the UK HealthCare System Module 8: Principles of Health and Social Care Principles of Health and Social Care Module 9: Codes of Conduct & Legislations in Health & Social Care in the UK Codes of Conduct & Legislations in Health & Social Care in the UK Module 10: Equality and Diversity in Health and Social Care Equality and Diversity in Health and Social Care Module 11: Management in Care Homes Management in Care Homes Module 12: Key Aspects Underpinning Quality Health & Social Care Work in the UK Key Aspects Underpinning Quality Health & Social Care Work in the UK Module 13: Social work with children and adolescent Social work with children and adolescent Module 14: Adult Social Care Adult Social Care Module 15: Social Work With People With Disabilities Social Work With People With Disabilities Module 16: Interviewing and Counselling Interviewing and Counselling Module 17: The Development of Community Care in the Social Services The Development of Community Care in the Social Services Module 18: Social Work & Community Care Management Social Work & Community Care Management Module 19: Assessment in Community Care Assessment in Community Care Module 20: Care Planning & Implementation Care Planning & Implementation Conclusion Conclusion Assessment Assessment - Social Worker Training Diploma Online Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Warehouse Management: Warehousing, Manual Handling, Supply Chain Management Course Online Are you ready to take your warehouse management skills to the next level? Introducing Warehouse Management: Warehouse Management Course, the comprehensive Warehouse Management: Warehouse Management course designed to equip you with the knowledge and strategies needed to excel in the dynamic world of modern logistics. In today's fast-paced business environment, efficient and effective warehouse management: warehouse management is crucial for any organization's success. The Warehouse Management: Warehouse Management Course goes beyond the basics, providing you with advanced techniques and insights to optimise your warehouse operations and streamline your supply chain. By enrolling in the Warehouse Management: Warehouse Management Course, you will not only enhance your skills and knowledge but also position yourself as a valuable asset in today's highly competitive job market. This Warehouse Management: Warehouse Management Course is suitable for warehouse managers, logistics professionals, supply chain specialists, and anyone aspiring to excel in warehouse management: warehouse management. Don't miss this opportunity to take your career to new heights. Enrol in the Warehouse Management: Warehouse Management Course today and unlock the secrets to achieving operational excellence in the world of logistics. Main Course: Level 5 Warehouse Management Course Free Courses included with Warehouse Management: Warehouse Management Course: Along with Warehouse Management Course you will get free Manual Handling Along with Warehouse Management Course you will get free Supply Chain Management Course Special Offers of this Warehouse Management: Warehouse Management Course; This Warehouse Management: Warehouse Management Course includes a FREE PDF Certificate. Lifetime access to this Warehouse Management: Warehouse Management Course Instant access to this Warehouse Management: Warehouse Management Course 24/7 Support Available to this Warehouse Management: Warehouse Management Course Warehouse Management: Warehousing, Manual Handling, Supply Chain Management Course Online Are you looking to expand your knowledge of warehouse management? You may not be aware, but there is a growing need for knowledgeable and competent warehouse managers. The UK logistics sector is expected to reach £75 billion in revenue by 2023, and with that growth will come a greater demand for skilled warehouse managers. You've found it! You will learn the foundations of warehouse management in this Warehouse Management: Warehouse Management course, along with the skills needed to manage warehouse operations successfully. The e-learning study materials for this Warehouse Management: Warehouse Management course are simple to understand. Who is this course for? Warehouse Management: Warehousing, Manual Handling, Supply Chain Management Course Online Demand for talented warehouse managers is high in recent times. This Warehouse Management: Warehouse Management course could provide you with the edge you need to emerge as the candidate for the job. Whether you’re new to warehouse management or an experienced professional, an endorsed Warehouse Management: Warehouse Management Diploma on your CV could make all the difference. Job opportunities for qualified warehouse management: warehouse management extend to a wide range of industries and sectors, spanning key markets worldwide. Whether you’d prefer to work at home or abroad, this Warehouse Management: Warehouse Management Diploma could broaden your prospects like never before. Requirements Warehouse Management: Warehousing, Manual Handling, Supply Chain Management Course Online To enrol in this Warehouse Management: Warehouse Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Warehouse Management: Warehouse Management Course. Be energetic and self-motivated to complete our Warehouse Management: Warehouse Management Course. Basic computer Skill is required to complete our Warehouse Management: Warehouse Management Course. If you want to enroll in our Warehouse Management: Warehouse Management Course you must be at least 15 years old. Career path Warehouse Management: Warehouse Management Upon completing our Warehouse Management online course, you will gain valuable skills and knowledge about Warehouse Management. Here are some potential career opportunities you can pursue after completing this Warehouse Management course: Warehouse Manager Inventory Control Specialist Logistics Coordinator Supply Chain Analyst Operations Supervisor

Duration 5 Days 30 CPD hours This course is intended for Built for IT Professionals working with Citrix ADC and Gateway, with little or no previous Citrix networking experience. Potential students include administrators, engineers, and architects interested in learning how to deploy or manage Citrix ADC or Citrix Gateway environments. Overview Identify the functionality and capabilities of Citrix ADC and Citrix Gateway Explain basic Citrix ADC and Gateway network architecture Identify the steps and components to secure Citrix ADC Configure Authentication, Authorization, and Auditing Integrate Citrix Gateway with Citrix Virtual Apps, Citrix Virtual Desktops and other Citrix components Expand your Citrix networking knowledge and skills by enrolling in this five-day course. It covers Citrix ADC essentials, including secure load balancing, high availability and operations management, and also focuses on Citrix Gateway. You will learn to deliver secure remote access to apps and desktops integrating Citrix Virtual Apps and Citrix Desktops with Citrix Gateway Getting Started Introduction to Citrix ADC Feature and Platform Overview Deployment Options Architectural Overview Setup and Management Basic Networking Networking Topology Citrix ADC Components Routing Access Control Lists ADC Platforms Citrix ADC MPX Citrix ADC VPX Citrix ADC CPX Citrix ADC SDX Citrix ADC BLX High Availability Citrix ADC High Availability High Availability Configuration Managing High Availability In Service Software Upgrade Troubleshooting High Availability Load balancing Load Balancing Overview Load Balancing Methods and Monitors Load Balancing Traffic Types Load Balancing Protection Priority Load Balancing Load Balancing Troubleshooting SSL Offloading SSL Overview SSL Configuration SSL Offload Troubleshooting SSL Offload SSL Vulnerabilities and Protections Security Authentication, Authorization, and Auditing Configuring External Authentication Admin Partitions Monitoring and Troubleshooting Citrix ADC Logging Monitoring with SNMP Reporting and Diagnostics AppFlow Functions Citrix Application Delivery Management Troubleshooting Citrix Gateway Introduction to Citrix Gateway Advantages and Utilities of Citrix Gateway Citrix Gateway Configuration Common Deployments AppExpert Expressions Introduction to AppExpert Policies Default Policies Explore Citrix ADC Gateway Policies Policy Bind Points Using AppExpert with Citrix Gateway Authentication, Authorization, and Secure Web Gateway Authentication and Authorization Multi-Factor Authentication nFactor Visualizer SAML authentication Managing Client Connections Introduction to Client Connections Session Policies and Profiles Pre and Post Authentication Policies Citrix Gateway Deployment Options Managing User Sessions Integration for Citrix Virtual Apps and Desktops Virtual Apps and Desktop Integration Citrix Gateway Integration Citrix Gateway WebFront ICA Proxy Clientless Access and Workspace App Access Fallback SmartControl and SmartAccess for ICA Configuring Citrix Gateway Working with Apps on Citrix Gateway RDP Proxy Portal Themes and EULA

Duration 2 Days 12 CPD hours This course is intended for The course is targeted at professionals who have never worked with Microsoft 365 before, or who have yet to move beyond its basic functions. The target audience typically includes individuals, professionals, and organizations who are looking to improve their productivity, collaboration, and communication using the suite of applications and services provided by Microsoft 365. This could include office workers, project managers, IT professionals, and small to large-scale businesses who want to maximize the benefits of cloud-based solutions for their daily operations.  Overview Upon successfully completing this course, students will have confidence in using the Microsoft 365 applications. Students will increase their work productivity and decrease time on completing tasks. In this course, students will learn how to use different tools of Microsoft 365 for better online collaboration, including OneDrive, SharePoint, Teams, Excel, Outlook, Word, and PowerPoint. First Steps in Office 365 The Difference Between Office 365 and Microsoft 365 Pros and cons of Microsoft 365 First Steps on mobile devices OneDrive Introduction - What is Microsoft OneDrive? How To Access Microsoft OneDrive? Upload Files Share Files Sync Files Recycle Bin Using OneDrive How To Access Onedrive On Phone? Teams - Simplify Collaboration within Companies Discover new ways to collaborate and communicate An introduction to your central place in Office 365 How to launch and install Teams The Interface of Microsoft Teams Use the Teams window to structure your organization Use Channels to structure the Teams window Use Tabs to access tools and information Communicate with others via Chat Keep track of activities Meetings, video conferencing and screen sharing Share files effectively Manage teams and permissions for organizational structuring Use Teams effectively on mobile devices Final remarks SharePoint Sites Introduction First Steps Document Library - First Steps Document Library - Set and Manage Alerts Document Library - Understanding Versioning Sync Libraries Share a Site Picture Library Lists Calendar Tasks Discussion Board Outlook First Steps in Mail Improved Search Function Work with Folders Settings Working with the Mail App Calendar People Tasks Excel Online Introduction Open and Edit an Excel Online Workbook Limitations of Excel Online Create a New Workbook with Excel Online Edit a Workbook Simultaneously with another Person Working with the Excel AppUse Excel effectively on mobile devices PowerPoint Online Introduction Open a PowerPoint Online Presentation Edit a Presentation Online Limitations of PowerPoint Online Create a Presentation with PowerPoint Online Working with the PowerPoint App Use Power Point effectively on mobile devices Word Online Introduction Open and Edit a Word Document Online Limitations of Word Online Create a New Document Edit a Document Simultaneously Working with the Word App

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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Managing Health and Wellness in Workplace Module One - Getting Started FREE 00:30:00 Module Two - Definition of a Health and Wellness Program FREE 00:30:00 Module Three - Types of Health and Wellness Programs 00:30:00 Module Four - Health Behavior Programs 01:00:00 Module Five - Health Screenings and Maintenance Programs 00:30:00 Module Six - Mental Health Programs 01:00:00 Module Seven - Evaluate the Need 01:00:00 Module Eight - Planning Process 01:00:00 Module Nine - Implementation 01:00:00 Module Ten - Create a Culture of Wellness 01:00:00 Module Eleven - Evaluate Results 00:30:00 Module Twelve - Wrapping Up 00:30:00 Level 2 Certificate In Health and Wellness at Workplace- Activities 00:00:00 Team Networking Module One - Getting Started 01:00:00 Module Two - The Benefits of Networking at Work 00:15:00 Module Three - Networking Obstacles 00:30:00 Module Four - Networking Principles 01:00:00 Module Five - How to Build Networks 00:30:00 Module Six - Recognize Networking Opportunities 00:30:00 Module Seven - Common Networking Mistakes 01:00:00 Module Eight - Develop Interpersonal Relationships 01:00:00 Module Nine - Online Networking Tools 01:00:00 Module Ten - Time Management 00:30:00 Module Eleven - Maintaining Relationships Over Time 00:30:00 Module Twelve - Wrapping Up 01:00:00 Accredited Diploma in Workplace Team Networking- Activities 00:00:00 Managing Civility Module One - Getting Started FREE 00:30:00 Module Two - Introduction FREE 01:00:00 Module Three - Effective Work Etiquette 01:00:00 Module Four - Costs and Rewards 01:00:00 Module Five - Conflict Resolution 00:30:00 Module Six - Getting to the Cause 01:00:00 Module Seven - Communication 01:00:00 Module Eight - Negotiation 00:30:00 Module Nine - Identifying Your Need 01:00:00 Module Ten - Writing a Civility Policy 01:00:00 Module Eleven - Implementing the Policy 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities 00:00:00 Managing Harassment Module One - Getting Started FREE 01:00:00 Module Two - The Background FREE 01:00:00 Module Three - Developing an Anti-Harassment Policy 01:00:00 Module Four - Policies in the Workplace 01:00:00 Module Five - Proper Procedures in the Workplace 01:00:00 Module Six - False Allegations 01:00:00 Module Seven - Other Options 00:30:00 Module Eight - Sexual Harassment 01:00:00 Module Nine - Mediation 01:00:00 Module Ten - Conflict Resolution 00:30:00 Module Eleven - The Aftermath 00:30:00 Module Twelve - Wrapping Up 01:00:00 Activities 00:00:00 Managing Violence Module One - Getting Started 00:30:00 Module Two - What Is Workplace Harassment 01:00:00 Module Three - Identifying the Bully 00:30:00 Module Four - How to Handle Workplace Violence 01:00:00 Module Five - Risk Assessment (I) 00:30:00 Module Six - Risk Assessment (II) 00:30:00 Module Seven - Being the Victim 02:00:00 Module Eight - Checklist for Employers 00:30:00 Module Nine - Interview Process 01:00:00 Module Ten - Investigation Process 00:30:00 Module Eleven - Developing a Workplace Harassment Policy 02:00:00 Module Twelve - Wrapping Up 00:30:00 Activities 00:00:00