Step into the captivating world of Stage Lighting and discover the art of illuminating performances. From understanding controllable properties of light to reading lighting plot plans, this course offers an immersive exploration of stage lighting techniques. Gain insights into the role of light intensity, color, distribution, and movement in enhancing visual experiences on stage. Learning Outcomes: Grasp the fundamental concepts of stage lighting and its pivotal role in performances. Define the objectives of stage lighting and its impact on enhancing storytelling and atmosphere. Understand the controllable properties of light, including intensity, color, distribution, and movement. Apply knowledge of lighting plot plans to effectively rig and position lights for optimum effect. Demonstrate the stage lighting process, from concept to execution and adjustments. Analyze the significance of color temperature and its influence on mood and aesthetics. Integrate lighting techniques to create dynamic visual experiences for different types of performances. Utilize lighting equipment to achieve desired effects and contribute to the overall production design. Why buy this Stage Lighting? 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 Stage Lighting 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 Stage Lighting does not require you to have any prior qualifications or experience. You can just enrol and start learning. Aspiring Lighting Designers and Stage Technicians. Theatre Directors and Production Crew Members. Students and Enthusiasts Interested in Theatrical Arts and Design. Event Planners and Entertainment Industry Professionals. Prerequisites This Stage Lighting 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 Lighting Designer - $45,000 to $80,000/year. Stage Lighting Technician - $30,000 to $60,000/year. Production Manager - $50,000 to $90,000/year. Event Coordinator with Lighting Expertise - $40,000 to $70,000/year. Theatre Technical Director - $50,000 to $100,000/year. Course Curriculum Stage Lighting Module 01: Introduction 00:02:00 Module 02: Objectives of Stage Lighting 00:04:00 Module 03: Controllable Properties of Light: Intensity 00:03:00 Module 04: Controllable Properties of Light: Colour 00:14:00 Module 05: Controllable Properties of Light: Distribution 00:16:00 Module 06: Controllable Properties of Light: Movement 00:01:00 Module 07: The Stage Lighting Process Update 00:07:00 Module 08: Reading a Lighting Plot Plan 00:04:00 Module 09: Rigging a Light 00:10:00 Assignment Assignment - Stage Lighting 00:00:00
Dive into the future of gardening with our 'Hydroponics Gardening Online Course'. Unearth the mysteries of soil-less cultivation as you journey through modules covering everything from an introduction to hydroponics, various culture systems, to the very core of plant nutrition. Equip yourself with knowledge on essential apparatus, rooting mediums, and the nuances of seedling care. By the course's finale, you'll be well-acquainted with the challenges and solutions in plant nutrition and the art of greenhouse growing. Learning Outcomes Understand the fundamental principles and advantages of hydroponic gardening. Recognise various hydroponic culture systems and their applications. Gain insight into plant nutrition and methods to maintain optimum health. Familiarise oneself with vital equipment and rooting media choices. Identify common nutritional issues in plants and implement effective solutions, including techniques in greenhouse cultivation. Why buy this Hydroponics Gardening Online 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 Hydroponics Gardening Online Course 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 Hydroponics Gardening Online Course for? Individuals passionate about modern gardening techniques. Home gardeners desiring a productive space without soil. Agricultural students or professionals keen to expand their repertoire. Urban farmers aiming for maximum yield in limited spaces. Entrepreneurs considering a venture in sustainable agriculture. Prerequisites This Hydroponics Gardening Online Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Hydroponics Gardening Online Course 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 Hydroponic System Designer: £25,000 - £35,000 Greenhouse Manager: £28,000 - £40,000 Urban Farming Specialist: £27,000 - £37,000 Plant Nutritionist: £30,000 - £45,000 Hydroponics Retail Consultant: £22,000 - £30,000 Sustainable Agriculture Advisor: £29,000 - £42,000 Course Curriculum Hydroponics Gardening Online Course Module 1: Introduction to Hydroponics 00:18:00 Module 2: Systems of hydroponic culture 00:28:00 Module 3: Plant Nutrition 00:30:00 Module 4: Equipment 00:55:00 Module 5: Rooting media 00:16:00 Module 6: Seedling and Plant Maintenance 00:28:00 Module 7: Nutritional Problems and Solutions in Plant 00:52:00 Module 8: Growing in Greenhouses 00:44:00 Assignment Assignment - Hydroponics Gardening Online Course 00:00:00
Join our Microsoft Excel course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Microsoft Excel course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Microsoft Excel course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You will Learn The Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Microsoft Excel. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Microsoft Excel course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Microsoft Excel is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Microsoft Excel course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Microsoft Excel Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Unit 01: Excel from A-Z Course Introduction Excel from A-Z Course Intro 00:03:00 Excel Job Opportunities 00:03:00 Excel Job Types 00:04:00 Microsoft Excel Marketplace 00:04:00 What is Microsoft Excel? 00:04:00 Who is This Course For? 00:03:00 Unit 02: Getting Started With Excel Finding & Opening Excel 00:01:00 Excel's Start Screen 00:03:00 Explaining the Excel Interface 00:03:00 Excel Interface Continued 00:01:00 Excel Workbook vs. Excel Worksheet 00:02:00 Saving an Excel Document 00:04:00 Customizing the Quick Access Toolbar 00:02:00 Customizing the Excel Ribbon 00:03:00 Excel Shortcut Keys 00:02:00 Unit 03: Values, Referencing and Formulas Creating Excel Labels 00:03:00 Entering Numeric Values in Excel 00:03:00 Formatting Date Values in Excel 00:05:00 Building Basic Formulas in Excel 00:05:00 Order of Operations 00:06:00 Relative vs. Absolute Cell References 00:07:00 Unit 04: Intro to Excel Functions Excel Functions Explained 00:03:00 The SUM() Function 00:08:00 The MIN() & MAX() Function 00:04:00 The AVERAGE() Function 00:02:00 COUNT() Functions 00:05:00 Unit 05: Adjusting Excel Worksheets Moving & Copying Data 00:07:00 Insert & Delete Rows and Columns 00:05:00 Adjusting the Width and Height of Cells 00:05:00 Hiding and Unhiding Excel Rows and Columns 00:04:00 Renaming, Moving & Deleting Excel Worksheets 00:05:00 Adding Protection to Specific Cells 00:04:00 Protecting the Structure of a Workbook 00:02:00 Adding a Workbook Password to Open File 00:02:00 Unit 06: Visually Pleasing Cell Formatting Formatting Fonts and Cell Background Color 00:05:00 Adding Cell Borders 00:05:00 Formatting Data Appropriately 00:05:00 The Magic behind Excel's Format Painter 00:03:00 Creating Styles for Formatting Efficiency 00:06:00 Merging Cells for a Cleaner Look 00:03:00 The Power of Conditional Formatting 00:06:00 Unit 07: How to Insert Images and Shapes! Grab User's Attention using Illustrations 00:09:00 Customizing Icons 00:05:00 Create Compelling Graphics with SmartArt 00:06:00 Unit 08: Visualize Data with Charts The Commonly Used Column Chart 00:03:00 Changing the Chart Design.mp4 00:02:00 Formatting Elements of a Chart 00:06:00 Modifying the Data, Type & Location of a Chart 00:06:00 Unit 09: Excel's Printing Options Print Preview Options 00:04:00 Excel's Page Layout View 00:07:00 Printing a Specific Range of Cells 00:03:00 Converting Spreadsheets to PDF Files 00:02:00 Unit 10: Benefits of Using Excel Templates Why Create an Excel Template 00:01:00 How to Create an Excel Template 00:05:00 Unit 11: Working with Excel Datasets How to Prepare Data for Analysis 00:04:00 How to Sort Data in Excel 00:03:00 Multi-Level Sorting 00:03:00 Custom Sorting Datasets in Excel 00:02:00 Applying Filters to Datasets 00:05:00 Creating Subtotals within a Dataset 00:06:00 Converting Datasets into Tables 00:06:00 Little Slice of Pie Charts 00:05:00 Finding & Removing Duplicate Values 00:07:00 Unit 12: Excel Database Functions The SUMIF() Function 00:09:00 The DSUM() Function 00:08:00 The DSUM() Function Cont. 00:07:00 The SUBTOTAL() Function 00:06:00 Unit 13: Excel Data Validation What is Excel Data Validation? 00:02:00 Creating a Drop Down List with Data Validation 00:07:00 Different Types of Excel Data Validation 00:06:00 Adding Custom Alerts to Data Validation 00:07:00 Creating a Dynamic Drop Down List 00:03:00 Complex Validation: Dependent Drop Down List! 00:09:00 Unit 14: Excel PivotTables Creating an Excel Pivot Table 00:06:00 Modifying Excel PivotTables 00:06:00 Grouping & Filtering PivotTable Data 00:06:00 Drilling Down into PivotTable Data 00:02:00 Creating Pivot Charts & Utilizing Slicers 00:08:00 Unit 15: Excel's PowerPivot Add-In What is PowerPivot? 00:04:00 Activating the Excel PowerPivot Add-In 00:02:00 Creating Relationships between Data Tables.mp4 00:06:00 Using Data Models to Create PivotTables 00:05:00 How to Create PowerPivot KPI's 00:08:00 Unit 16: Excel's Conditional Functions Excels IF Function 00:05:00 IF() Function with AND() Criteria 00:05:00 IF() Function with OR() Criteria 00:05:00 Nesting Multiple IF() Functions 00:07:00 The COUNTIF() Function 00:04:00 Key Benefits of Named Ranges 00:04:00 Unit 17: Excel's Lookup Function VLOOKUP() Function 00:09:00 The Beauty of Excel's IFERROR() Function 00:04:00 HLOOKUP() Function 00:06:00 The INDEX Function 00:05:00 MATCH() Function 00:05:00 INDEX() and MATCH() Combined 00:05:00 Two-Way Lookup with INDEX() and MATCH() 00:04:00 Unit 18: Text Based Functions in Excel LEFT(), RIGHT() and MID() Function 00:07:00 Extracting Specific Text using LEN() & SEARCH() 00:13:00 Combining Text with CONCATENATE() 00:06:00 Quick Tips & Other Text Based Functions 00:06:00 Unit 19: Auditing Formulas and Views in Excel Tracing Precedents & Dependents in Formulas 00:04:00 Showing Formulas 00:02:00 Grouping Data 00:03:00 3D Referencing in Formulas 00:05:00 Utilizing the Watch Window in Excel 00:03:00 How to Freeze Panes in Excel 00:03:00 Unit 20: Excel's 'what If?' Tools Excel's Scenario Manager Tool 00:06:00 Goal Seek in Excel 00:06:00 Compare Results with Excel Data Tables 00:04:00 Solver Tool 00:11:00 Unit 21: Welcome to Excel VBA The Power Behind Excel VBA 00:03:00 A Look Inside the Visual Basic Editor (VBE) 00:04:00 Recording a Macro 00:09:00 Saving & Opening a Macro-Enabled Workbook 00:02:00 Unit 22: The VBA Language Modules and Procedures 00:07:00 Objects, Methods and Properties 00:06:00 Excel VBA Variables 00:05:00 Unit 23: Writing VBA Code Referencing a Range 00:13:00 InputBox & MsgBox 00:06:00 Using Variables in VBA Code 00:05:00 If Then Else Statement 00:10:00 Worksheet Functions inside VBA 00:08:00 Creating User Defined Functions 00:09:00 User Defined Functions within VBA Scripts 00:06:00 Unit 24: Important VBA Tools and Logic Find Last Row of Data 00:06:00 Find Last Column of Data 00:03:00 With Statement 00:05:00 Debugging & Error Handling 00:07:00 Debugging & Error Handling Cont. 00:07:00 Unit 25: Excel VBA Loop For Next Loop 00:09:00 Do Until Loop 00:06:00 For Each Loop 00:04:00 Unit 26: Triggering Macros Assigning Macros to Shapes 00:04:00 Form Controls vs ActiveX Controls 00:08:00 Worksheet Events 00:04:00 Workbook Events 00:03:00 Fun with VBA Events! 00:07:00 Unit 27: Excel User Forms Creating an Excel UserForm 00:03:00 Adding Controls to UserForms 00:10:00 How to Show an UserForm 00:03:00 Passing TextBox Values to Desired Cells 00:07:00 Passing Option Buttons to Desired Cells 00:07:00 UserForm ComboBoxes 00:08:00 Clearing Values from UserForm Controls 00:03:00 How to Close an UserForm 00:02:00 UserForms and Protected Sheets 00:05:00 Unit 28: Starting a Career in Excel Creating an Excel Resume 00:05:00 Getting Started with Freelancing 00:06:00 How to Become an Excel Freelancer 00:05:00 Top Freelance Websites 00:05:00 How to Get Your First Client 00:08:00 Personal Branding 00:07:00 Networking Do's and Don'ts 00:04:00 Importance of Having a Website 00:04:00 Resources Resources - Microsoft Excel 00:00:00
Are you looking to improve your current abilities or make a career move? Our unique Complete Microsoft Excel Course might help you get there! Expand your expertise with high-quality training - study the Complete Microsoft Excel and get an expertly designed, great value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the online training course. This Complete Microsoft Excel online training course is accredited by CPD with 15 CPD points for professional development. Students can expect to complete this training course in around 11 hours. You'll also get dedicated expert assistance from us to answer any queries you may have while studying our course. The course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Complete Microsoft Excel course, you will receive an instant e-certificate as proof of the comprehensive skill development and competency. Add these amazing new skills to your resume and boost your employability by simply enroling on this course. With this comprehensive course, you can achieve your dreams and train for your ideal career. The Complete Microsoft Excel course provides students with an in-depth learning experience that they can work through at their own pace to enhance their professional development. You'll get a Free Student ID card by enroling in this course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. Enroling on the Complete Microsoft Excel course will ensure that you land your dream career faster than you thought possible. Stand out from the crowd and train for the job you want with the program. Why Prefer this Complete Microsoft Excel Course? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standard-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support Experts created the Complete Microsoft Excel course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this course and take a step toward a brighter future! *** Course Curriculum *** Here are the topics you will cover on the Course: >> Complete Microsoft Excel << Module 01: Microsoft Excel 2019 New Features Introduction to Microsoft Excel 2019 New Features CONCAT IFS MAXIFS MINIFS SWITCH TEXTJOIN Map Chart Funnel Chart Better Visuals Pivot Table Enhancements Power Pivot Updates Module 02: Getting Started with Microsoft Office Excel Navigate the Excel User Interface Use Excel Commands Create and Save a Basic Workbook Enter Cell Data Use Excel Help Module 03: Performing Calculations Create Worksheet Formulas Insert Functions Reuse Formulas and Functions Module 04: Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows Search for and Replace Data Use Proofing and Research Tools Module 05: Formatting a Worksheet Apply Text Formats Apply Number Format Align Cell Contents Apply Styles and Themes Apply Basic Conditional Formatting Create and Use Templates Module 06: Printing Workbooks Preview and Print a Workbook Set Up the Page Layout Configure Headers and Footers Module 07: Managing Workbooks Manage Worksheets Manage Workbook and Worksheet Views Manage Workbook Properties Module 08: Working with Functions Work with Ranges Use Specialized Functions Work with Logical Functions Work with Date & Time Functions Work with Text Functions Module 09: Working with Lists Sort Data Filter Data Query Data with Database Functions Outline and Subtotal Data Module 10: Analyzing Data Apply Intermediate Conditional Formatting Apply Advanced Conditional Formatting Module 11: Visualizing Data with Charts Create Charts Modify and Format Charts Use Advanced Chart Features Module 12: Using PivotTables and PivotCharts Create a PivotTable Analyze PivotTable Data Present Data with PivotCharts Filter Data by Using Timelines and Slicers Module 13: Working with Multiple Worksheets and Workbooks Use Links and External References Use 3-D References Consolidate Data Module 14: Using Lookup Functions and Formula Auditing Use Lookup Functions Trace Cells Watch and Evaluate Formulas Module 15: Sharing and Protecting Workbooks Collaborate on a Workbook Protect Worksheets and Workbooks Module 16: Automating Workbook Functionality Apply Data Validation Search for Invalid Data and Formulas with Errors Work with Macros Module 17: Creating Sparklines and Mapping Data Create Sparklines MapData Module 18: Forecasting Data Determine Potential Outcomes Using Data Tables Determine Potential Outcomes Using Scenarios Use the Goal Seek Feature Forecasting Data Trends Module 19: Excel Templates Excel Templates Assessment Process Once you have completed all the modules in the Complete Microsoft Excel course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.
Become an expert in DIY and transform your gloomy, neglected basement into a sleek and stylish living space with the Basement Improvement & Renovation Course. This instructor-led course is a complete introduction to basement remodelling and includes expert audio-visual material to develop your practical skills for everyday DIY projects. You will learn the basics of electrical and plumbing installation, how to make the most of natural lighting, repair walls, control mould and much more. This course also provides step-by-step guidance on waterproofing your basement and installing adequate heating and air conditioning. You will also be trained on the fundamentals of basement repair and maintenance to ensure a healthy and safe living space. On completion, you will be equipped with the knowledge and skills to plan your transformation project and utilise your space to create a beautiful sanctuary that everyone can enjoy. Your Learning Goals: Save money and do it yourself - the faster and more affordable way! Develop the practical skills to transform your basement into a stylish and useful living space Get handy tips and tricks from the experts in home DIY Understand the basics of plumbing and electrical installation Learn how to control moisture levels, temperature and lighting quality Familiarise with tools of the trade required for everyday DIY projects Discover everything you need to know about subfloors, partition walls and basement ceilings Be able to repair beams and walls, seal cracks, and ensure adequate insulation Who is this Course for? Basement Improvement & Renovation is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. 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. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Week#1: Intro & Assessment Week#1: Intro & Assessment 00:05:00 Week#1 - Lesson#1 : The Benefits & Challenges of Finishing a Basement 00:15:00 Week#1 - Lesson#2: Assessing Your Basement Space 00:00:00 Week#1 - Lesson#3: Do-It-Yourself, Contractor or Both? 00:00:00 Week#2: Basement Finishing Options Week#2: Lesson#1 : Anatomy of a Basement 00:30:00 Week#2 - Lesson#2: Basement Finishing Best Practices 02:00:00 Week#3: Moisture-proofing, Electricity, Plumbing & Tearing Out An Old Basement Week#3 - Lesson#1: Moisture-Proofing Strategies 00:20:00 Week#3 - Lesson#2: Power, Lighting & Plumbing Best Practices 00:40:00 Week#3 - Lesson#3: Tearing Out an Old Basement Best Practices 00:20:00 Week#4: Basement Planning and Layout Week#4: Lesson#1 : Understanding Layout Options 00:15:00 Week#4 - Lesson#2: Experience your layout in full size 00:15:00 Week#5: Special Basement Features Week#5 - Lesson#1: Basement Bathrooms, Saunas & Steam Rooms 00:30:00 Week#5 - Lesson#2: Building a Second Suite 00:05:00 Week#5 - Lesson#3: How to Create a Basement Kitchen 00:10:00 Week#5 - Lesson#4: Basement Cold Rooms & Cellars 00:30:00 Week#5 - Lesson#5: Bring Outdoor Light Into Your Basement 00:10:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
Learn the procedures of winning the heart of your reader. Short stories are one of the most popular forms of writing as people prefer to read short stories instead of long novels nowadays. The Creative Writing Course - Short Stories course helps you to learn the useful, pragmatic ways of scripting short stories that will attract the customers. Before starting the writing strategies, the course shows you some related terms for writing such as time management, defining your goals for writing, understanding the audiences, etc. Then, you will know how to create protagonists, style, the point of view, tones, short story templates, creating draft and publishing. The final section is dedicated to the procedures of edition including Kindle publishing etc. Here, you will also learn how to deal with the rejections, rights and payments. In short, the course guides you to start writing short stories. 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 applying for NUS Extra Discount Card; 24/7 student support via email. Who is this Course for? Creative Writing Course - Short Stories is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Creative Writing Course - Short Stories is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. 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. Course Curriculum Introduction Introduction to Short Story Writing 00:06:00 Foreword Who Am I to Run This Course? 00:06:00 It's All About Mindset 00:07:00 What Tools Do You Need To Succeed? 00:05:00 Part One: Mindset Mental Preparation 00:06:00 Time Management 00:06:00 Self Belief 00:02:00 Goal Setting 00:01:00 Part Two: The Basics Subject Matter 00:04:00 Genre 00:07:00 Scope 00:02:00 Getting Ideas 00:02:00 Part Three: Construction Time The 7-Step Story Generator 00:02:00 Characters & Character Creation 00:03:00 Creating Protagonists 00:07:00 Character Motivation & Interactions 00:03:00 Story & Setting 00:03:00 The 5-Point Story Structure 00:02:00 Style & Tone 00:02:00 Point of View & Tense 00:03:00 Plotting & The Twist 00:05:00 Building a Short Story Template 00:03:00 Building a Short Story Template 00:03:00 Introduction to Scrivener All Hail Scrivener! 00:04:00 Part Four: Writing Your Story The Opening Paragraph 00:03:00 Fast Writing 00:05:00 The Second Draft 00:04:00 Polishing 00:04:00 Part Five: Submitting Your Work 6 Lectures It's All About Presentation 00:04:00 Dealing With Rejection 00:02:00 Rights and Payment 00:01:00 Kindle Publishing 00:04:00 Conclusion Short Stories 00:02:00 Resources Resources - Creative Writing Course - Short Stories 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
Unlock your screenwriting potential with our Online Screenwriting for Film & Television (UK) course. Learn essential techniques, understand industry standards, and enhance your scriptwriting skills. Perfect for aspiring and experienced screenwriters alike. Get CPD accredited and boost your career in the UK film and TV industry.
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Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. 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Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00