4126 Courses in Cardiff delivered Online

Embark on a journey through the intricate realms of UK Employment Law, GDPR, and Property Law with this comprehensive diploma course. In the first paragraph, we explore the essentials of Employment Law, delving into the legalities of the recruitment process, employment contracts, and employee handbooks. This course also sheds light on critical aspects like disciplinary procedures, minimum wage regulations, parental rights, sick pay, pension schemes, and tackling discrimination in the workplace. Navigating through these modules equips learners with a profound understanding of the complexities and ethical considerations in employment. The second paragraph focuses on the General Data Protection Regulation (GDPR). As digital information becomes increasingly pivotal, understanding GDPR is crucial. The course meticulously covers the basics, detailed explanations, lawful basis for preparation, individual rights, potential breaches, along with the responsibilities and obligations under GDPR. This knowledge is indispensable in today's data-driven world, ensuring compliance and safeguarding personal data. Finally, the course delves into Property Law. It provides a thorough understanding of property law practice, ownership, co-ownership issues, and various aspects of property taxation, including VAT and capital gains. The course concludes with insights into the evolving UK property market, preparing learners for the dynamic and challenging world of property law. Learning Outcomes: Gain a comprehensive understanding of UK Employment Law, including contracts, handbooks, and disciplinary procedures. Learn the intricacies of GDPR, including data protection rights, obligations, and compliance strategies. Acquire knowledge on Property Law, focusing on ownership, co-ownership, and taxation. Develop skills to navigate and interpret the latest changes in the UK Property Market. Enhance legal analytical skills, applicable in diverse professional environments. Why buy this UK Employment Law Diploma, GDPR & Property Law? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the UK Employment Law Diploma, GDPR & Property Law you will be able to take the MCQ test that will assess your knowledge. 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? Individuals aspiring to pursue a career in legal sectors or human resources. Business owners seeking to understand and implement lawful practices. Accountants and financial advisors needing insight into property taxation. Data protection officers and IT professionals aiming to comply with GDPR. Legal enthusiasts interested in UK law's complexities and applications. Prerequisites This UK Employment Law Diploma, GDPR & Property Law 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 Employment Law Solicitor: £40,000 - £60,000 per annum HR Manager: £35,000 - £50,000 per annum Data Protection Officer: £30,000 - £45,000 per annum Property Law Solicitor: £45,000 - £70,000 per annum Legal Advisor: £30,000 - £45,000 per annum Tax Consultant: £35,000 - £55,000 per annum Course Curriculum Employment, GDPR, Property - Complete UK Law Module 01: Basic of Employment Law Basic of Employment Law 00:24:00 Module 02: Legal Recruitment Process Legal Recruitment Process 00:43:00 Module 03: Employment Contracts Employment Contracts 00:25:00 Module 04: Employee Handbook Employee Handbook 00:23:00 Module 05: Disciplinary Procedure Disciplinary Procedure 00:15:00 Module 06: National Minimum Wage & National Living Wage National Minimum Wage & National Living Wage 00:37:00 Module 07: Parental Right, Sick Pay & Pension Scheme Parental Right, Sick Pay & Pension Scheme 00:43:00 Module 08: Discrimination in the Workplace Discrimination in the Workplace 00:39:00 Module 09: Health & Safety at Work Health & Safety at Work 00:19:00 Module 10: Dismissal, Grievances and Employment Tribunals Dismissal, Grievances and Employment Tribunals 00:36:00 Module 11: Workplace Monitoring & Data Protection Workplace Monitoring & Data Protection 00:15:00 Module 12: GDPR Basics GDPR Basics 00:22:00 Module 13: GDPR Explained GDPR Explained 00:17:00 Module 14: Lawful Basis for Preparation Lawful Basis for Preparation 00:29:00 Module 15: Rights and Breaches Rights and Breaches 00:25:00 Module 16: Responsibilities and Obligations Responsibilities and Obligations 00:29:00 Module 17: The Property Law and Practice The Property Law and Practice 00:23:00 Module 18: Ownership and Possession of the Property Ownership and Possession of the Property 00:16:00 Module 19: Co-Ownership in Property Co-Ownership in Property 00:17:00 Module 20: Property Taxation on Capital Gains Property Taxation on Capital Gains 00:16:00 Module 21: VAT on Property Taxation VAT on Property Taxation 00:11:00 Module 22: Property Taxation Tips for Accountants and Lawyers Property Taxation Tips for Accountants and Lawyers 00:16:00 Module 23: Changes in the UK Property Market Changes in the UK Property Market 00:14:00 Mock Exam Mock Exam - UK Employment Law Diploma, GDPR & Property Law 00:20:00 Final Exam Final Exam - UK Employment Law Diploma, GDPR & Property Law 00:20:00

Overview In the digital age, mastering the intricacies of Sage 50 Accounts is paramount for businesses aiming to streamline their financial processes. The 'Advanced Diploma in Sage 50 Accounts at QLS Level 6' course is designed under the supervision of industry experts to guide learners through the multifaceted world of Sage 50 accounting. From setting up the system to intricate tasks like bank reconciliations and VAT returns, this course ensures that learners are well-equipped with sage 50 accounts essentials. Moreover, with a curriculum that delves deep into project creation and the preparation of accountant reports, learners are assured of comprehensive Sage 50 accounts help, making them proficient in managing business finances with precision. Learning Outcomes: Understand the foundational principles of Sage 50 Bookkeeper and its applications. Gain proficiency in setting up customers, suppliers, and creating projects within the Sage 50 environment. Master the processes of invoicing, credit notes, and bank payment transfers. Acquire skills in bank and petty cash reconciliations, including credit card account reconciliations. Develop expertise in advanced tasks such as VAT returns, year-end journals, and the preparation of accountant reports. Why buy this Advanced Diploma in Sage 50 Accounts at QLS Level 6? 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 Who is this Advanced Diploma in Sage 50 Accounts at QLS Level 6 course for? Individuals aiming to enhance their proficiency in Sage 50 accounting software. Business owners seeking to streamline their financial processes. Accountants and finance professionals looking to expand their skill set. Students of finance and accounting aiming to gain a competitive edge. Project managers desiring knowledge in financial project creation. Prerequisites This Advanced Diploma in Sage 50 Accounts at QLS Level 6 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 Sage 50 Accounts Specialist: £30,000 - £40,000 Annually Financial Project Manager: £45,000 - £60,000 Annually Sage 50 Trainer: £35,000 - £50,000 Annually Financial Analyst with Sage 50 proficiency: £40,000 - £55,000 Annually Bookkeeper with Sage 50 expertise: £25,000 - £35,000 Annually Management Accountant with Sage 50 skills: £45,000 - £65,000 Annually Certification After studying the course materials of the Advanced Diploma in Sage 50 Accounts at QLS Level 6 you will be able to take the MCQ test that will assess your knowledge. 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 £125 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 Sage 50 Accounts and Projects Creation Training Sage 50 Bookkeeper - Coursebook 00:00:00 Introduction and TASK 1 00:17:00 TASK 2 Setting up the System 00:23:00 TASK 3 a Setting up Customers and Suppliers 00:17:00 TASK 3 b Creating Projects 00:05:00 TASK 3 c Supplier Invoice and Credit Note 00:13:00 TASK 3 d Customer Invoice and Credit Note 00:11:00 TASK 4 Fixed Assets 00:08:00 TASK 5 a and b Bank Payment and Transfer 00:31:00 TASK 5 c and d Supplier and Customer Payments and DD STO 00:18:00 TASK 6 Petty Cash 00:11:00 TASK 7 a Bank Reconnciliation Current Account 00:17:00 TASK 7 b Bank Reconciliation Petty Cash 00:09:00 TASK 7 c Reconciliation of Credit Card Account 00:16:00 TASK 8 Aged Reports 00:14:00 TASK 9 a Payroll 00:07:00 TASK 9 b Payroll 00:10:00 TASK 10 Value Added Tax - Vat Return 00:12:00 Task 11 Entering opening balances on Sage 50 00:13:00 TASK 12 a Year end journals - Depre journal 00:05:00 TASK 12 b Prepayment and Deferred Income Journals 00:08:00 TASK 13 a Budget 00:05:00 TASK 13 b Intro to Cash flow and Sage Report Design 00:08:00 TASK 13 c Preparation of Accountants Report & correcting Errors (1) 00:10:00 Mock Exam Mock Exam - Sage 50 Accounts and Projects Creation Training 00:20:00 Final Exam Final Exam - Sage 50 Accounts and Projects Creation Training 00:20:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Embark on a transformative journey into the realm of data mastery with our comprehensive course, 'Advanced SAS Programming Using MacrosSQL.' From demystifying the intricacies of SAS Studio to unlocking the potential of Proc SQL, this course is a gateway to proficiency in SAS programming and macro scripting. The curriculum, thoughtfully designed to accommodate learners of all levels, takes you through the essential foundations of SAS, the nuances of macro variables, and the power-packed functionalities of Proc SQL. Dive into the world of nested macro variables, conditional logic, and data manipulation, all while honing your skills through practical examples. This course isn't just about learning syntax; it's a hands-on exploration that empowers you to seamlessly connect the dots between SAS Studio and Proc SQL, bringing your data analytics capabilities to new heights. Learning Outcomes Master the fundamentals of SAS Studio and navigate through its interface effortlessly. Develop a deep understanding of macro variables, exploring their applications and delving into nested variations. Acquire proficiency in SAS Macros, from basic examples to advanced keyword usage and conditional logic. Unlock the potential of Proc SQL, gaining expertise in data copying, filtering, sorting, and removing duplicates. Harness the power of data merging using Joins, creating macro variables dynamically in the process. Why choose this Advanced SAS Programming Using MacrosSQL course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced SAS Programming Using MacrosSQL course for? Data enthusiasts seeking to enhance their SAS programming skills. Business analysts aiming to leverage SAS for more effective data analysis. IT professionals aspiring to streamline data management through SAS. Career path SAS Programmer: £35,000 - £55,000 Data Analyst: £30,000 - £50,000 Business Intelligence Developer: £40,000 - £60,000 Database Administrator: £35,000 - £60,000 Data Scientist: £45,000 - £70,000 Analytics Manager: £50,000 - £80,000 Prerequisites This Advanced SAS Programming Using MacrosSQL does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced SAS Programming Using MacrosSQL 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. Course Curriculum Advanced SAS Programming Using MacrosSQL Unit - 1 Section 0-00- Why SAS 00:01:00 Unit - 2 Section 2-02- SAS Studio through SAS OnDemand- Registration 00:04:00 Section 2-03- Logging-in to SAS after installation 00:01:00 Section 2-04- SAS Interface and windows 00:06:00 Unit - 3 Section 3-00- Section Overview - Macros 00:01:00 Section 3-01-Macro Variables - introduction 00:14:00 Section 3-02-Application of macro variables 00:13:00 Section 3-03-01-Nested macro vars 00:11:00 Section 3-03-02-More on Ampersand resolutions using a cool example 00:09:00 Section 3-04-00-SAS Macros - introduction 00:10:00 Section 3-04-01-SAS Macros - Examples 00:07:00 Section 3-04-02-Keyword positional and mixed params 00:06:00 Section 3-04-03-Conditional Logic in Macros 00:11:00 Section 3-05-Macro Functions 00:12:00 Section 3-05-Options Statement- mprint-mlogic-symbolgen 00:13:00 Section 3-07-Connecting the two worlds - Call Symput - Symget 00:14:00 Section 3-09-01-02- Bringing data into SAS using Import Wizard 00:04:00 Section 3-09-02- Bringing data into SAS using LIBNAME statement 00:05:00 Section 3-09-03- Bringing data into SAS using FILENAME 00:05:00 Unit - 4 Section 4-00- Section Overview - Proc SQL 00:01:00 Section 4-01-01-Proc SQL - copying data 00:13:00 Section 4-01-02-Proc SQL - filtering data 00:07:00 Section 4-01-03-Proc SQL - sorting data 00:08:00 Section 4-01-04-Proc SQL - removing duplicates 00:05:00 Section 4-02-01-Proc SQL - Union 00:09:00 Section 4-02-02-Proc SQL - Except 00:04:00 Section 4-02-03-Proc SQL - Intersect 00:02:00 Section 4-03-00-Merging data using Joins-Introduction 00:08:00 Section 4-03-01-Proc SQL - inner join 00:14:00 Section 4-03-02-Proc SQL - full join 00:08:00 Section 4-03-03-Proc SQL - left and right joins 00:07:00 Section 4-04-01-Proc SQL - creating macro vars 00:07:00 Unit - 5 Section 5-00- Bonus lecture 00:02:00

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 course offers an immersive experience in data analysis, guiding you from initial setup with Python and Pandas, through series and DataFrame manipulation, to advanced data visualization techniques. Perfect for enhancing your data handling and analysis skills.

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

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

Duration 3 Days 18 CPD hours This course is intended for This course is intended for network engineers, support personnel, reseller support, and others responsible for implementing Juniper Networks ScreenOS firewall products. Overview After successfully completing this course, you should be able to:Explain the Juniper Networks security architecture.Configure administrative access and options.Back up and restore configuration and ScreenOS files.Configure a ScreenOS device in transparent, route, Network Address Translation (NAT), and IP version 6 (IPv6) modes.Discuss the applications of multiple virtual routers.Configure the Juniper Networks firewall to permit and deny traffic based on user defined policies.Configure advanced policy options.Identify and configure network designs for various types of network address translation.Configure policy-based and route-based VPN tunnels. This course is the first in the ScreenOS curriculum. It is a course that focuses on configuration of the ScreenOS firewall/virtual private network (VPN) products in a variety of situations, including basic administrative access, routing, firewall policies and policy options, address translation, and VPN implementations. The course combines both lecture and labs, with significant time allocated for hands-on experience. Students completing this course should be confident in their ability to configure Juniper Networks firewall/VPN products in a wide range of installations. Chapter 1: Course IntroductionChapter 2: ScreenOS Concepts, Terminology, and PlatformsChapter 3: Initial Connectivity Lab 1: Initial Configuration Chapter 4: Device Management Lab 2: Device Administration Chapter 5: Layer 3 Operations Lab 3: Layer 3 Operations Chapter 6: Basic Policy Configuration Lab 4: Basic Policy Configuration Chapter 7: Policy Options Lab 5: Policy Options Chapter 8: Address Translation Lab 6: Address Translation Chapter 9: VPN ConceptsChapter 10: Policy-Based VPNs Lab 7: Policy-Based VPNs Chapter 11: Route-Based VPNs Lab 8: Route-Based VPNs Chapter 12: IPv6 Lab 9: IPv6 Appendix A: Additional FeaturesAppendix B: Transparent Mode Lab 10: Transparent Mode (Optional) Additional course details: Nexus Humans Configuring Juniper Networks Firewall/IPSec VPN Products 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 Configuring Juniper Networks Firewall/IPSec VPN Products 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.