46454 AR courses delivered Online

Overview This comprehensive course on Basic C# Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Basic C# Coding comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Basic C# Coding. It is available to all students, of all academic backgrounds. Requirements Our Basic C# Coding is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 12 sections • 85 lectures • 06:27:00 total length •Course Introduction: 00:02:00 •Course Curriculum: 00:07:00 •How to get Pre-requisites: 00:03:00 •Getting Started on Windows or Linux: 00:01:00 •How to ask Great Questions: 00:02:00 •FAQ's: 00:01:00 •Introduction to C#: 00:07:00 •C# vs .NET: 00:04:00 •What is CLR?: 00:05:00 •Architecture of .NET Application: 00:09:00 •Getting Visual Studio: 00:07:00 •First C# Hello World Application: 00:16:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •05 Interview Questions and Answers: 00:04:00 •Introduction: 00:03:00 •Variables: 00:24:00 •C# Identifiers: 00:08:00 •Data Types: 00:08:00 •Type Casting: 00:14:00 •User Inputs: 00:10:00 •Comments: 00:03:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:02:00 •03 Interview Questions and Answers: 00:02:00 •Summary: 00:02:00 •Introduction: 00:02:00 •Arithmetic Operators: 00:09:00 •Assignment Operators: 00:03:00 •Comparison Operators: 00:03:00 •Logical Operators: 00:03:00 •Strings: 00:10:00 •String Properties: 00:08:00 •Booleans: 00:06:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •03 Interview Questions and Answers: 00:04:00 •Summary: 00:02:00 •Introduction: 00:02:00 •If Conditions and Statements: 00:12:00 •Switch-Case Statements: 00:09:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:02:00 •03 Interview Questions and Answers: 00:04:00 •Summary: 00:02:00 •Introduction: 00:02:00 •While Loop Statement: 00:07:00 •Do-While Statement: 00:03:00 •For Loop Statement: 00:07:00 •Foreach Statement: 00:06:00 •Break and Continue: 00:03:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •03 Interview Questions and Answers: 00:02:00 •Summary: 00:01:00 •Introduction: 00:01:00 •Arrays: 00:13:00 •Loop Through Arrays: 00:10:00 •Lists: 00:07:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:02:00 •03 Interview Questions and Answers: 00:02:00 •Summary: 00:02:00 •Introduction: 00:01:00 •System.IO Namespace: 00:03:00 •File and File Info: 00:11:00 •Directory and Directory Info: 00:08:00 •Getting File Path Information: 00:05:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •03 Interview Questions and Answers: 00:03:00 •Summary: 00:03:00 •Introduction: 00:02:00 •Datetime: 00:10:00 •TimeSpan: 00:06:00 •Assessment Test: 00:01:00 •Solution for Assessment Test: 00:01:00 •Summary: 00:02:00 •Introduction: 00:02:00 •Debugging Tools in Visual Studio: 00:13:00 •Call Stack Window: 00:04:00 •Locals and Autos Windows: 00:04:00 •Summary: 00:02:00 •Bonus Lecture for What Next?: 00:02:00 •Assignment - Basic C# Coding: 00:00:00

Course Overview: Embark on a transformative journey to real estate with our esteemed Diploma in Real Estate. This comprehensive course empowers individuals like you with the knowledge and skills necessary to thrive in the dynamic property market. Delve into the intricacies of real estate investing, property management, and the legal frameworks that govern the industry.This comprehensive course spans a broad range of topics, from 'What Is Real Estate Investing?' and 'Basic Rental Properties' to 'Investment Purchase Procedure' and 'Property Management.' Furthermore, it provides an in-depth exploration of the UK legal system and investment structures, ensuring that learners are well-equipped to navigate the complexities of the real estate market.Enrol now in the Diploma in Real Estate course and take the first step towards building a thriving career in the dynamic world of real estate investing. Key Features of the Course: Comprehensive curriculum covering essential topics such as property investment, customer service, and marketing strategies. Flexible learning schedule with 24/7 access to course materials and resources. Dedicated learning assistance is available round the clock to address your queries and provide guidance. Who is This Course For? This Diploma in Real Estate is ideal for individuals passionate about real estate and seeking to embark on a successful career in the industry. Whether you are a recent graduate, an aspiring entrepreneur, or a seasoned professional looking to diversify your skill set, this course will provide you with the necessary knowledge and expertise to excel in real estate. What You Will Learn: Firstly, you will explore effective property investment strategies that will enable you to identify lucrative opportunities and make informed investment decisions. You will learn how to evaluate market trends, assess property values, and analyse risk factors to maximise investment returns.Customer service is a crucial aspect of the real estate industry, and this course will equip you with the best practices to ensure client satisfaction. You will learn how to communicate effectively with clients, manage their expectations, and provide exceptional service throughout the buying, selling, and renting processes. Understanding the legal frameworks is vital for any real estate professional, and this course will provide you with the necessary knowledge of the legal system and regulations regarding property transactions. You will learn about different types of investment structures, commercial leases, title and registration processes, and critical legislations that govern the industry. Furthermore, you will delve into real estate marketing strategies that will help you attract potential buyers and tenants. From digital marketing techniques to effective property showcasing, you will learn how to create compelling marketing campaigns that generate interest and drive sales. Why Enrol in This Course: This Diploma in Real Estate has recently been updated to incorporate industry trends and best practices, ensuring you gain the most up-to-date knowledge. Moreover, the course focuses on providing necessary skills that can be applied in real-world scenarios, allowing you to excel in the field of property investment and management. Requirements: There are no specific prerequisites for this course. However, a basic understanding of business concepts and an interest in real estate will benefit optimal learning. Career Path: Upon completing this course, you will get edges in various rewarding career paths within the real estate industry. Some sought-after professions include Property Manager, Real Estate Agent, Investment Analyst, Property Developer, Leasing Consultant, Mortgage Advisor, and Property Valuer. Salaries in these roles range from £25,000 to £60,000+ per annum, depending on experience and location. Certification: Upon completing the Diploma in Real Estate, you will receive a CPD certificate, further validating your expertise and enhancing your professional prospects in the real estate sector. Course Curriculum 5 sections • 48 lectures • 18:00:00 total length •What Is Real Estate Investing?: 00:30:00 •Basic Rental Properties: 00:30:00 •Why invest in property?: 00:30:00 •Investment After Brexit: 00:15:00 •Recent Housing Market Developments: 00:15:00 •Managing Client Expectation: 00:15:00 •Best Practices of Customer Service: 00:15:00 •Customer Life Cycle: 00:15:00 •Tenant Retention: 00:30:00 •Real Estate Marketing: 00:30:00 •An Introduction to the UK legal system: 00:15:00 •Different Types of Investment Structures: 00:15:00 •Commercial Leases: 00:15:00 •Title & Registration: 00:15:00 •Finance in Real Estate: 00:15:00 •Investment Purchase Procedure: 00:15:00 •Acquisition Costs: 00:15:00 •Land Usage: 00:15:00 •Planning & Environment: 00:15:00 •Investment Structure & Key Legislations: 00:15:00 •What is Property Development?: 00:15:00 •The Players in the Property Market: 00:30:00 •The Risks of Property Development: 00:15:00 •The Stages of a Property Development: 00:30:00 •Site Identification and Acquisition: 00:15:00 •Property Management: 00:30:00 •Selecting The Best Properties: 00:30:00 •Leasing Instead Of Selling: 00:30:00 •Buyers Interest: 00:15:00 •Be Zone Conscious: 01:00:00 •Home Loans: 00:15:00 •Knowing When You're Ready To Buy: 00:15:00 •Is Your Lake Home For Sale?: 01:00:00 •Living The Waterfront Lifestyle Every Day: 00:15:00 •How To Locate Waterfront Property Rentals: 00:15:00 •Real Estate Front: 00:15:00 •How To Maintain Waterfront Property: 00:30:00 •All About Real Estate Clients: 00:15:00 •Real Estate Evaluation: 00:15:00 •Are You Ready To Buy Your First Property?: 00:30:00 •Finding The Actual Real Estate For Sale: 01:00:00 •Home Shopping: The Smart Way: 00:30:00 •How Much Land Do You Need?: 00:15:00 •Real Estate Investments: 01:00:00 •Manufacturing Real Estate Numbers: 00:15:00 •Waterfront Real Estate: 00:15:00 •Purchasing A Home Beside A Lake: 00:15:00 •Fundamentals of Real Estate Development: 00:00:00

Overview This comprehensive course on Solar Energy will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Solar Energy comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Solar Energy. It is available to all students, of all academic backgrounds. Requirements Our Solar Energy is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 10 sections • 55 lectures • 11:44:00 total length •Module 1- Introduction To PV System Construction: 00:24:00 •Module 2- Solar Heating, Solar Irradiation And Panels: 00:38:00 •Module 3- Effect of Insolation and Temperature on V-I Curve: 00:05:00 •Module 4- PV Installation, Short Circuit And Open Circuit Tests Using Avometer: 00:15:00 •Module 5- Solar Wires And Cables Installation Process: 00:22:00 •Module 6- Mounting Of PV System: 00:04:00 •Module 7- Shading and Tilt angle In Solar Energy: 00:15:00 •Module 8- Half Cut Cell Technology In PV System For Solar Engineering: 00:25:00 •Module 9- Importance Of Charge Controller In Solar Energy System: 00:03:00 •Module 10- PWM And MPPT Charge Controllers: 00:14:00 •Module 11- Understanding More about MPPT Solar Charge Controller For Solar Energy Course: 00:24:00 •Module 12- Junction Box In Solar Energy System: 00:04:00 •Module 13- Wiring of Junction Box In Solar Energy System: 00:05:00 •Module 14- Function, Types And Data Sheet Of Inverter: 00:55:00 •Module 15- Determining PV Array Maximum System Voltage: 00:09:00 •Module 1- Construction And Types Of Batteries In Solar Energy System: 00:09:00 •Module 2- Charging Of Lead Acid Batteries And Hydrometer In Solar Energy System: 00:07:00 •Module 3- Maintenance Of Batteries And Methods Of Charging In Solar Energy System: 00:03:00 •Module 4- Cycle of Batteries: 00:04:00 •Module 1- Off-Grid Solar System: 00:02:00 •Module 2- Advantages of Off-Grid Solar System: 00:02:00 •Module 3- Equipment of Off-Grid Solar System: 00:04:00 •Module 4- Selection and Datasheet of the Panel: 00:04:00 •Module 5- Inverter Selection: 00:02:00 •Module 6- Example 1 On Designing Off Grid System: 00:01:00 •Module 7- Determine Power Consumption Demands: 00:04:00 •Module 8- Size the PV modules: 00:05:00 •Module 9- Inverter sizing: 00:04:00 •Module 10- Battery Sizing: 00:08:00 •Module 11- Solar Charge Controller Sizing: 00:05:00 •Module 12- MPPT Charge Controller Sizing: 00:10:00 •Module 13- Example 2 Design of an OFF Grid System: 00:20:00 •Module 1- Grid-Tied Solar System: 00:03:00 •Module 2- Advantages of Grid-Tied Solar System: 00:04:00 •Module 3- Equipment of Grid-Tied Solar System: 00:03:00 •Module 4- Example Design of an On Grid System: 00:10:00 •Module 5- PV Energy According to Area: 00:02:00 •Module 1- Design of an Off Grid Solar Energy System Using PVSYST Program: 00:28:00 •Module 2- Design Of An On Grid Solar Energy System Using PVSyst Program: 00:12:00 •Module 3- Mega PV System Design Using PVSyst Program For Solar Energy: 00:29:00 •Module 1- Introduction To Water Pumping System And Steps Of Design: 00:24:00 •Module 2- Solved Example On Solar Pumping System Design: 00:23:00 •Module 1- Introduction to Protection Of PV System: 00:07:00 •Module 2- Selection of Fuses and Protection of String: 00:13:00 •Module 3- Protection of Arrays: 00:07:00 •Module 4- Protection of Inverter: 00:07:00 •Module 5- Protection of Transformer: 00:07:00 •Module 6- Surge Protection Device: 00:02:00 •Module 7- Grounding of PV System: 00:07:00 •Module 8- Types of BusBars in PV System and Selection of BusBars: 00:12:00 •Module 1-Design Of Off Grid PV System Using Excel Sheet: 00:26:00 •Module 1- Single Line Diagram Of PV System And Selection Of Fuses And Breakers: 00:45:00 •Module 1- Simulation Of PV Cell In MATLAB And Obtaining V-I Characteristics: 00:28:00 •Module 2- Get a Complete Grid Connected PV Solar Energy System In MATLAB Simulink: 00:25:00 •Module 3- PV System Simulation Using ETAP Lesson: 00:24:00

Overview Eat good and live smart with your self-planned diet by enrolling in the highly effective Diet and Nutrition Complete Food Composition Diploma course. An Ayurvedic proverb says, 'When diet is wrong, medicine is of no use. When diet is correct, medicine is of no need'. Wherefore, there's certainly no magic shot other than eating healthy to live healthy. But, due to having inadequate knowledge of diet and nutrition, we tend to depend on experts where we often fail to understand their instructions. So, here is the well-researched course, outlined by a top nutritionist, offering you an opportunity to be a diet expert with in-depth knowledge regarding nutritious diets and a healthy lifestyle. Last but not least, the course modules are approached using scientific and theoretical concepts which will foster your professional skill development as well. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Diet and Nutrition Complete Food Composition Diploma. It is available to all students, of all academic backgrounds. Requirements Our Diet and Nutrition Complete Food Composition Diploma is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 10 sections • 75 lectures • 03:01:00 total length •Course Promo: 00:02:00 •Introduciton & What you will learn in the course: 00:04:00 •who this course is for: 00:02:00 •what is nutrition: 00:01:00 •The principles of healthy dieting: 00:04:00 •the true dieting pyramid: 00:04:00 •Calories Explained: 00:04:00 •bodyweight and health: 00:05:00 •Calories & bodyweight in a healthy diet: 00:02:00 •the twinkie diet: 00:02:00 •weight loss and health: 00:03:00 •How many calories do you need daily: 00:02:00 •How To Determin Your Optimal Calorie Intake: 00:03:00 •healthy weight ranges: 00:02:00 •How to lose weight if you are close to the optimal range: 00:03:00 •How to lose weight when you start from a higher weight: 00:02:00 •Diet breaks: 00:05:00 •How to track calories: 00:05:00 •How to lose weight without tracking calories: 00:04:00 •food composition intro: 00:03:00 •Protein Composition copy: 00:02:00 •Carbohydrate Composition copy: 00:03:00 •Fat Composition copy: 00:01:00 •Overview food composition: 00:03:00 •Macros intro: 00:01:00 •Protein Explained: 00:02:00 •protein needs for overall health: 00:02:00 •How Much Carbs should you eat per day copy: 00:01:00 •How Much Fat Should You Eat Per Day copy: 00:04:00 •Overview Macronutrients: 00:03:00 •Nutrient Timing Intro: 00:02:00 •Nutrient Timing Facts: 00:04:00 •Nutrient Timing Recommendations: 00:02:00 •Supplements intro: 00:04:00 •Why Mulitvitamins arent a good idea: 00:02:00 •supplements for vegans and vegetarians: 00:02:00 •supplements for joint health: 00:02:00 •supplements for improved sleep: 00:02:00 •supplements for better memory and focus: 00:02:00 •Supplements Overview: 00:01:00 •How to naturally increase testosterone: 00:07:00 •basics of healthy dieting: 00:02:00 •making changs towards a healthier diet: 00:04:00 •How to read a nutrition label copy: 00:03:00 •diet myths into: 00:01:00 •Dieting myth #1 Carbs are bad for you copy: 00:02:00 •Dieting Myth #2 Fat is bad for you copy: 00:02:00 •Dieting Myth #3 Protein is bad for you copy: 00:04:00 •Dieting Myth #4 Eating Eggs Raises Cllesterol copy: 00:01:00 •Dieting Myth #5 Avoid Salt At All Cost copy: 00:01:00 •Dieting Myth #6 Eat several small meals throughout the day to lose weight copy: 00:01:00 •Dieting Myth #7 Diet Foods Will Lead To Weight Loss copy: 00:01:00 •Red meat always causes cancer copy: 00:03:00 •Common Diets Intro 2 copy: 00:01:00 •Gluten Free Diet Explained copy: 00:03:00 •Paleo Diet Explained copy: 00:04:00 •Low Carb Diet Explained copy: 00:03:00 •Intermittend Fasting Explained copy: 00:03:00 •Vegan Diet Explained copy: 00:05:00 •Micronutrients Introduction 2 copy: 00:01:00 •Vitamin A copy: 00:02:00 •Vitamin B copy: 00:01:00 •Vitamin C copy: 00:01:00 •Vitamin D copy: 00:02:00 •Vitmain E copy: 00:01:00 •Vitamin K copy: 00:01:00 •Calcium copy: 00:02:00 •Magnesium copy: 00:01:00 •Phosphorus copy: 00:01:00 •Potassium copy: 00:01:00 •Sodium copy: 00:01:00 •Copper copy: 00:01:00 •Iron copy: 00:01:00 •Zinc copy**: 00:02:00 •water copy: 00:04:00

Course Overview: Dive into the transformative world of Artificial Intelligence (AI) with "ChatGPT for Marketing and Productivity with AI Tools. This course is tailored to unlock the secrets of AI-powered tools in marketing and productivity. According to the McKinsey Global Institute, Artificial Intelligence is an area of study predicted to have an economic impact between $1.49 trillion to $2.95 trillion a year by 2025. It's time to leverage this transformative technology with OpenAI's ChatGPT. In this course, we'll start from the basics, introducing you to OpenAI's ChatGPT, its features, limitations, and how to create an account. You will learn how ChatGPT can generate ideas, qualify and verify information, and produce content in different contexts. In addition, you'll explore a myriad of autonomous AI agents and learn to develop robust methodologies with expert advice. The last part of the course delves into tools and applications like Bing Search, Google Bard, and Speechify that you can use in tandem with ChatGPT. By the end of this course, you'll be well-versed in harnessing the power of AI to enhance marketing strategies and improve productivity. Enrol now and stay ahead of the competition! Key Features of the Course: CPD-certified course. 24/7 learning assistance. Engaging learning materials to enhance your knowledge. Updated and trending content. Who is This Course For? This ChatGPT for Marketing and Productivity with AI Tools course is ideal for marketing professionals, content creators, product managers, or anyone interested in leveraging AI to improve productivity and marketing strategies. What You Will Learn: Our comprehensive ChatGPT for Marketing and Productivity with AI Tools course will help you to: Understanding and setting up an account with ChatGPT. Exploring the limitations and potentials of ChatGPT. The use of ChatGPT in idea generation, content creation, and problem-solving. Interfacing with autonomous AI agents. Use of AI tools for research, summarisation, and voice cloning. Manipulating Microsoft Bing Search, Google Bard, and other applications with ChatGPT. Insight into the future of Generative AI. How to use ChatGPT to conduct research. Why Enrol in This Course: This top-reviewed and recently updated course allows learners to stay at the forefront of the AI revolution. You will gain a competitive edge by developing skills in AI applications for marketing and productivity. Requirements: Participants are expected to have a basic understanding of marketing and productivity processes. Prior experience with AI is not necessary. Career Path: AI Product Manager - £75,000. Content Strategist - £42,000. Marketing Technology Consultant - £60,000. Digital Marketer - £32,000. SEO Specialist - £35,000. Social Media Manager - £45,000. Data Analyst - £40,000. Certification: Upon completing the ChatGPT for Marketing and Productivity with AI Tools course, you will receive a CPD certificate, validating your newly acquired skills and knowledge. Enrol in this course today and enhance your Marketing and Productivity with AI Tools! Course Curriculum 3 sections • 60 lectures • 01:24:00 total length •Unit 01: Start an Account with ChatGPT: 00:02:00 •Unit 02: What the Company OpenAI Say About Itself: 00:02:00 •Unit 03: What OpenAI Say About The Limitations of the Chatbot: 00:02:00 •Unit 04: Chatbot Prompt Examples Given By Open AI: 00:02:00 •Unit 05: Will Chat GPT Be a Paid Application: 00:01:00 •Unit 06: Chat GPT Idea Generation: 00:02:00 •Unit 07: Chat GPT - Idea Qualification and Accuracy: 00:03:00 •Unit 08: ChatGPT - Accuracy and Citations: 00:02:00 •Unit 09: Chat GPT - Creating HTML Instances: 00:01:00 •Unit 10: Chat GPT - How to Solve Specific Business Problems: 00:02:00 •Unit 11: Chat GPT - Statistical Verification of Information: 00:01:00 •Unit 12: Chat GPT - Rewrite Content for Different Contexts: 00:02:00 •Unit 13: ChatGPT - Content Checked With AI: 00:02:00 •Unit 14: ChatGPT - Simplifying Information: 00:01:00 •Unit 15: ChatGPT - How to Ask the Chatbot about Context: 00:01:00 •Unit 16: ChatGPT - How to Cross-Post Queries: 00:01:00 •Unit 17: ChatGPT - How to Narrow Down the Context of Your Query: 00:02:00 •Unit 18: ChatGPT - How to Solve a Business Process: 00:02:00 •Unit 19: ChatGPT - Developing a Methodology From Experts: 00:01:00 •Unit 20: The Future of ChatGPT: 00:01:00 •Unit 01: Autonous AI Agents: 00:01:00 •Unit 02: Connecting to Open AI: 00:01:00 •Unit 03: Getting an OpenAI Key: 00:01:00 •Unit 04: Agent GPT - Autonomous AI: 00:02:00 •Unit 05: GoalGPT - Autonomous Agents: 00:01:00 •Unit 06: Cognosis - Autonomous AI: 00:02:00 •Unit 07: Aomni - Autonomous Agent: 00:01:00 •Unit 08: Durable - Build a Website with AI: 00:01:00 •Unit 09: Eightify Summaries: 00:02:00 •Unit 10: Genei - Do Higher Quality Research with AI: 00:01:00 •Unit 11: Ellicit - Do Higher Quality Research with AI: 00:01:00 •Unit 12: Inciteful - Do Higher Quality Research with AI: 00:02:00 •Unit 13: SciteAI Determine the Credibility of Your Research: 00:01:00 •Unit 14: Eleven Labs - Voice Cloning: 00:02:00 •Unit 15: AgentGPT - Wrap Up and Return: 00:01:00 •Unit 16: Cognosys - Wrap Up and Return: 00:01:00 •Unit 17: Aomni - Wrap Up and Return: 00:01:00 •Unit 18: Goal GPT - Wrap Up and Return: 00:01:00 •Unit 19: Uploading Research Reports to Summarization Applications: 00:01:00 •Unit 20: Perspective on The Future of AI: 00:01:00 •Unit 01: Meta Search Sites: 00:02:00 •Unit 02: SMMRY for Summarzing: 00:01:00 •Unit 03: ChatGPT Plugins Waitlist: 00:01:00 •Unit 04: Using Microsoft Bing Search: 00:02:00 •Unit 05: Using Google Bard: 00:01:00 •Unit 06: Microsoft Word Speech To Text: 00:01:00 •Unit 07: Transcribe Audio in Microsoft Word: 00:02:00 •Unit 08: Speechify: 00:02:00 •Unit 09: Exact Image Creation: 00:01:00 •Unit 10: AI Design Tools: 00:02:00 •Unit 11: Learn How to Prompt: 00:01:00 •Unit 12: Content Improvement: 00:01:00 •Unit 13: Idea Generation: 00:01:00 •Unit 14: Audio Enhancement with Adobe: 00:02:00 •Unit 15: Clean up Audio With Cleaanvoice: 00:01:00 •Unit 16: Notion-AI: 00:01:00 •Unit 17: Pictory: 00:01:00 •Unit 18: Lex: 00:01:00 •Unit 19: ChatPDF: 00:01:00 •Unit 20: Conclusion and the Future of Generatie AI - Searchie: 00:01:00

Overview This comprehensive course on Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query. It is available to all students, of all academic backgrounds. Requirements Our Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 12 sections • 76 lectures • 06:08:00 total length •Course Outline and Introduction: 00:04:00 •Minimum Requirements for the Course: 00:01:00 •Prepayments Introduction: 00:01:00 •Month End Date Prepaid Expenses Amortization Calculation: 00:00:00 •Exact Prepaid Expenses Payment Date Calculation: 00:00:00 •Prepaid Expenses Accounting Definition: Prepayments: 00:03:00 •Prepaid Expense Example: How Accounting works for Prepayments: 00:03:00 •Advantages and Disadvantages of Prepaid Expenses: 00:03:00 •Introduction to PRO Excel Models and Formulas: 00:06:00 •Date Function: 00:05:00 •EOMONTH Function: 00:04:00 •DATEVALUE function: 00:03:00 •IF Function: 00:08:00 •IFS Function (Office 365 Only): 00:07:00 •VLOOKUP Function: 00:07:00 •MATCH Function: 00:05:00 •INDIRECT Function: 00:02:00 •NAMED Ranges: Name Manager: 00:03:00 •Advanced Version of VLOOKUP Function: 00:07:00 •Introduction to Model and Control Panel Tab (Important Sheet Tab): 00:08:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 1): 00:05:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 2): 00:06:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 3): 00:06:00 •IFS Function - Month End date Prepayment calculation: 00:04:00 •Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary): 00:09:00 •Protecting Formulas Cells and Fields in the Model: 00:04:00 •Exact Date Prepaid Amortisation calculation Intro: 00:03:00 •Formulas update and Model Changes for Exact Prepaid Exps Calculation: 00:03:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1): 00:04:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2): 00:03:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3): 00:02:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4): 00:07:00 •IFS Function - Exact Date Prepayments Amortisation: 00:04:00 •Data Validation Controls (Enhancing Data Input Controls with Protection): 00:10:00 •Bonus: Prepayment Model with Opening Balance Calculation (Part 1): 00:08:00 •Bonus: Prepayment Model with Opening Balance Calculation (Part 2): 00:09:00 •Additional Material: Resources: 00:00:00 •Power Query and Pivot Table Prepayment Summary Table Intro: 00:06:00 •What is Power Query and Some Awesome Resources for Power Query learning: 00:07:00 •Power Query and Pivot Table Summary - Deep Dive (Part 1): 00:05:00 •Power Query and Pivot Table Summary - Deep Dive (Part 2): 00:04:00 •Power Query and Pivot Table Summary - Deep Dive (Part 3): 00:05:00 •Power Query and Pivot Table Summary - Deep Dive (Part 4): 00:09:00 •Using Array Formulas to Add Formula Protection: 00:04:00 •Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1: 00:02:00 •Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2: 00:08:00 •Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version): 00:13:00 •Changing Macros Security in Excel: 00:05:00 •Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model: 00:06:00 •Bonus : New Version - Excel VBA Model for Prepayment Expenditure: 00:08:00 •Dynamic Dashboard Overview: 00:07:00 •Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets: 00:08:00 •Creating Dynamic Data Validation: 00:02:00 •Creating Named Ranges for Dynamic Table Arrays: 00:03:00 •Dynamic Date Column Headings for each Divisional PL Table: 00:02:00 •Dynamic Month and YTD Dashboard tables headings (PRO TIP): 00:03:00 •Dynamic VLOOKUP Formula - Preparing First section of the Dashboard: 00:04:00 •Creating Rolling Dashboard with Dynamic VLOOKUP Function: 00:08:00 •IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP): 00:03:00 •Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function): 00:05:00 •Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit: 00:05:00 •Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1): 00:03:00 •Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2): 00:06:00 •Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed: 00:05:00 •Understanding the data files before building dashboard: 00:02:00 •Consolidating Reports with Power Query (Get & Transform) , How to install PQ: 00:08:00 •Dynamic File Path Trick in Power Query with Parameters (Amazing trick): 00:06:00 •Conditional Cumulative totals with SUMIFS Function: 00:04:00 •Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code): 00:06:00 •Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise: 00:06:00 •Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast): 00:08:00 •Dashboard Creation - Line Charts: 00:08:00 •Update Dashboard with Additional Divisional Data with Few Click (Magical): 00:03:00 •Thank you: 00:02:00 •Ultimate Prepaid Expenditure Model (Super Bonus): 00:02:00 •Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query: 00:00:00

Overview School is the place where young, brilliant minds develop and flourish! Take your career into the next level and work in a field with means to develop the future of the society by joining our comprehensive Focus Awards Level 3 Award in Supporting Teaching and Learning in Schools course. This Focus Awards Level 3 Award in Supporting Teaching and Learning in Schools is a professional course that has been developed in accordance with awarding body standards to help you advance your career prospects. It is an introductory level 3 award that will teach you about teaching and learning concepts specifically relevant to children and young people in primary, secondary, or special schools. This level 3 award in supporting teaching and learning in schools focuses on giving you the skills and knowledge you need to look after children and youth, keep them safe, and communicate effectively.Enrol today and start your learning journey! Benefits you will gain: Top-notch e-learning materials Modules availability 24/7 An easy-to-use online learning platform Flexible learning hours Level 3 Award in Supporting Teaching and Learning in Schools (Regulated qualification) Exquisite customer service Qualification Focus Awards Level 3 Award in Supporting Teaching and Learning in Schools.  Description Learners must achieve all 4 mandatory units to achieve a total credit of 12.From this course you will: Familiarise yourself with the concept of supporting teaching and learning schools Understand how to communicate with children and young people Know how to maintain professional relationships with children and adults Comprehend how schools as an organisation works Study the development process of child and adults Be able to safeguard the wellbeing of children and young people Qualification Purpose This comprehensive Focus Awards Level 3 Award in Supporting Teaching and Learning in Schools course is designed to help students master the knowledge and skills they'll need to function effectively in supporting teaching and learning in schools. Who is this course for The Focus Awards Level 3 Award in Supporting Teaching and Learning in Schools course is for individuals wanting to serve as a qualified professional in the educational sector. Individuals who wish to achieve a sought-after teaching and learning certificate will benefit from its excellent training. Entry Requirements There are no specific entry requirements for this qualification. This qualification is accredited for learners who are at least 16 years old. Focus Awards does not set any other entry requirements, but training providers or colleges may have their own guidelines. Progression Learners wishing to progress from this qualification can undertake the following qualifications: Level 3 Certificate in Supporting Teaching and Learning in Schools Level 3 Certificate in Cover Supervision of Pupils in Schools Level 3 Diploma in Specialist Support for Teaching and Learning in Schools Intermediate/Advanced Level Apprenticeship in Supporting Teaching and Learning in Schools Total Qualification Time Total Qualification Time is comprised of GLH and an estimate of the number of hours a learner is likely to spend in preparation, study or any other learning including assessment, which takes place as directed by, but not under the supervision of a lecturer, supervisor or tutor. Total Qualification Time for this qualification is hours. Guided Learning Hours These hours are made up of all contact time, guidance or supervision of a learner by a lecturer, supervisor, tutor, trainer or other appropriate provider of education or training. Guided Learning Hours for this qualification is 80. Method of Assessment: The Focus Awards Level 3 Award in Supporting Teaching and Learning in Schools (RQF) is internallyassessed and externally assured by Focus Awards.Each learner is required to create a portfolio of evidence that demonstrates the achievement of all thelearning outcomes and the assessment criteria associated with each unit.The main pieces of evidence for the portfolio could include: Assessor observation - completed observational checklists on related action plans Witness testimony Learner product Worksheets Assignments / projects / reports Record of oral and written questioning Learner and peer reports Recognition of prior learning (RPL) Evidence may be drawn from actual or simulated situations where appropriate and where permitted by the relevant Sector Skills Council or Sector Skills Body. Career path After receiving the Focus Awards Level 3 Award in Supporting Teaching and Learning in Schools certification, you would be eligible to function as a competent professional as: Senior Teaching Assistant Senior Learning Support Assistant Senior Special Educational Needs Assistant Course Curriculum 15 sections • 40 lectures • 00:00:00 total length •Induction Form: 00:00:00 •Registration Entry Form: 00:00:00 •1. The Principles of Developing Positive Relationships With Children, Young People and Adults: 00:00:00 •2. Communication with Children, Young People and Adults: 00:00:00 •3. Legislation, Policies and Procedures for Confidentiality and Sharing Information, Including Data Protection: 00:00:00 •Unit 01 Assignment: 00:00:00 •1. The Structure of Education from Early Years to Post-compulsory Education: 00:00:00 •2. How Schools are Organised in Terms of Roles and Responsibilities: 00:00:00 •3. Ethos, Mission, Aims and Values of a School: 00:00:00 •4. Laws and Codes of Practice Affecting Work in Schools: 00:00:00 •5. The Purpose of School Policies and Procedures: 00:00:00 •6. The Wider Context in Which Schools Operate: 00:00:00 •Unit 02 Assignment: 00:00:00 •1. Different Aspects of Development From Birth to Adulthood: 00:00:00 •2. Personal and External Factors That Affect Child Development: 00:00:00 •3. Theories of Development and Frameworks to Support Development: 00:00:00 •4. Monitoring and Assessing Children: 00:00:00 •5. Barriers to the Development of Children and Young People: 00:00:00 •6. Early Intervention: 00:00:00 •7. Possible Effects of Different Transitions on Children and Young People's Development: 00:00:00 •Unit 03 Assignment: 00:00:00 •1. Current Legislation and National Guidelines for Safeguarding: 00:00:00 •2. Safeguard Children and Young People: 00:00:00 •3. Inquiries and Serious Case Reviews and Sharing the Findings to Inform Practice: 00:00:00 •4. Data Protection, Information Handling and Sharing: 00:00:00 •5. A Person-Centred Culture: 00:00:00 •6. Partnership Working and Safeguarding: 00:00:00 •7. Roles and Responsibilities of Different Organisations: 00:00:00 •8. Policies and Procedures to Protect Children and Young People and Adults Who Work With Them: 00:00:00 •9. How to Report Concerns about Practice in the Work Setting: 00:00:00 •10. Child Abuse Indicators: 00:00:00 •11. Responding to Children and Young People's Disclosures of Abuse: 00:00:00 •12. Concept of bullying: 00:00:00 •13. Develop Self-esteem and Self-confidence: 00:00:00 •14. Resilience: 00:00:00 •15. Strategies to Help Children Protect Themselves: 00:00:00 •16. Empowerment: 00:00:00 •17. Importance of E-safety: 00:00:00 •Unit 04 Assignment: 00:00:00 •Submit Your Assignments: 00:00:00

Overview This comprehensive course on Python Programming: Beginner To Expert will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python Programming: Beginner To Expert comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Python Programming: Beginner To Expert. It is available to all students, of all academic backgrounds. Requirements Our Python Programming: Beginner To Expert is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 18 sections • 121 lectures • 15:27:00 total length •Intro To Python Section Overview: 00:05:00 •What is Python Programming: 00:10:00 •Who is This Course For: 00:05:00 •Python Programming Marketplace: 00:06:00 •Python Job Opportunities: 00:05:00 •How To Land a Python Job Without a Degree: 00:08:00 •Python Programmer Job Roles: 00:09:00 •Python from A-Z Course Structure: 00:04:00 •Getting Familiar with Python Section Overview: 00:06:00 •Installing Python on Windows: 00:10:00 •Anaconda and Jupyter Notebooks Part 1: 00:08:00 •Anaconda and Jupyter Notebooks Part 2: 00:16:00 •Comments: 00:05:00 •Python Syntax: 00:02:00 •Line Structure: 00:03:00 •Line Structure Exercise: 00:07:00 •Joining Lines: 00:05:00 •Multiple Statements on a Single Line: 00:05:00 •Indentation: 00:08:00 •Basic Data Types Section Overview: 00:08:00 •String Overview: 00:10:00 •String Manipulation: 00:07:00 •String Indexing: 00:04:00 •String Slicing: 00:08:00 •Printing: 00:10:00 •Python Variables: 00:08:00 •Integers and Floats: 00:08:00 •Booleans: 00:05:00 •Mini Project 1 : Letter Counter: 00:20:00 •Python Operators Section Overview: 00:04:00 •Comparison Operators: 00:09:00 •Arithmetic Operators: 00:08:00 •Assignment Operators: 00:04:00 •Logical Operators: 00:13:00 •Identity Operators: 00:05:00 •Membership Operators: 00:02:00 •Bitwise Operators: 00:08:00 •Python Advanced Data Types Section Overview: 00:11:00 •Sets: 00:06:00 •List Overview: 00:05:00 •List Slicing and Indexing: 00:04:00 •Tuples: 00:02:00 •When to use each one?: 00:05:00 •Compound Data Types: 00:03:00 •Dictionaries: 00:11:00 •Control Flow Part 1 Section Overview: 00:15:00 •Intro to Control Flow: 00:01:00 •Basic Conditional Statements: 00:14:00 •More Conditional Statements: 00:05:00 •For Loops: 00:10:00 •While Loops: 00:12:00 •Control Flow Part 2 Section Overview: 00:02:00 •Break Statements: 00:08:00 •Continue Statements: 00:05:00 •Zip Function: 00:07:00 •Enumerate Function: 00:04:00 •List Comprehension: 00:04:00 •Python Functions Section Overview: 00:03:00 •Intro to Functions: 00:02:00 •Python help Function: 00:03:00 •Defining Functions: 00:09:00 •Variable Scope: 00:08:00 •Doc Strings: 00:04:00 •User Input and Error Handling Section Overview: 00:02:00 •Introduction to error handling: 00:03:00 •User Input: 00:04:00 •Syntax Errors: 00:04:00 •Exceptions: 00:11:00 •Handling Exceptions Part 1: 00:08:00 •Handling Exceptions Part 2: 00:08:00 •Python Advanced Functions Section Overview: 00:05:00 •Lambda Functions: 00:05:00 •Functions args and kwargs: 00:10:00 •Iterators: 00:08:00 •Generators and Yield: 00:12:00 •Map Function: 00:14:00 •Filter Function: 00:08:00 •Python Scripting and Libraries Section Overview: 00:05:00 •What is a script: 00:01:00 •What is an IDE: 00:17:00 •What is a text editor?: 00:12:00 •From Jupyter Notebook to VScode Part 1: 00:15:00 •From Jupyter Notebook to VScode Part 2: 00:05:00 •Importing Scripts: 00:03:00 •Standard Libraries: 00:04:00 •Third Party Libraries: 00:06:00 •NumPy Section Overview: 00:04:00 •Intro to NumPy: 00:04:00 •Why use NumPy?: 00:04:00 •NumPy Arrays: 00:10:00 •Reshaping, Accessing, and Modifying: 00:07:00 •Slicing and Copying: 00:06:00 •Inserting, Appending, and Deleting: 00:10:00 •Array Logical Indexing: 00:04:00 •Broadcasting: 00:08:00 •Intro to Pandas: 00:17:00 •Pandas Series: 00:17:00 •Pandas Series Manipulation: 00:17:00 •Pandas DataFrame: 00:17:00 •Pandas DataFrame Manipulation: 00:13:00 •Dealing with Missing Values: 00:10:00 •Functional vs OOP: 00:06:00 •OOP Key Definitions: 00:04:00 •Create your First Class: 00:12:00 •How to Create and Use Objects: 00:06:00 •How to Modify Attributes: 00:12:00 •Python Decorators: 00:27:00 •Property Decorator: 00:09:00 •Class Method Decorator: 00:07:00 •Static Methods: 00:10:00 •Inheritance from A to Z: 00:21:00 •Python Career Section Overview: 00:06:00 •Getting Started with Freelancing: 00:09:00 •Building A Brand: 00:12:00 •Personal Branding: 00:13:00 •Importance of Having Website/Blog: 00:04:00 •Do's And Don'ts Of Networking: 00:06:00 •Top Freelance Websites: 00:08:00 •Creating A Python Developer Resume: 00:06:00 •Resources - Python Programming: Beginner To Expert: 00:00:00 •Assignment - Python Programming: Beginner To Expert: 00:00:00

Overview This comprehensive course on Functional Skills Maths - Level 1 (Updated 2022) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Functional Skills Maths - Level 1 (Updated 2022) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Functional Skills Maths - Level 1 (Updated 2022). It is available to all students, of all academic backgrounds. Requirements Our Functional Skills Maths - Level 1 (Updated 2022) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 24 sections • 114 lectures • 11:37:00 total length •Lecture 1: Introduction Video: 00:02:00 •Lecture 2: Quick Guide: 00:01:00 •Lecture 1: Read & Write Large Numbers Part 1: 00:08:00 •Lecture 2: Read & Write Large Numbers Part 2: 00:13:00 •Lecture 3: Compare and Order Large Numbers: 00:12:00 •Downloadable Resources: 00:00:00 •Lecture 1: Why do you Round off a Number?: 00:03:00 •Lecture 2: Rounding off techniques: 00:07:00 •Lecture 3: Practice Problems Part 1: 00:09:00 •Lecture 4: Practice Problems Part 2: 00:08:00 •Lecture 5: Rounding to Significant Figures: 00:15:00 •Downloadable Resources: 00:00:00 •Lecture 1: Number System: 00:07:00 •Lecture 2: Integers and Ordering of Integers: 00:08:00 •Lecture 3: Addition and Subtractions of Integers: 00:10:00 •Lecture 4: Operations on Integers: 00:06:00 •Lecture 5: Multiplication and Division of Integers: 00:07:00 •Downloadable Resources: 00:00:00 •Lecture 1: Factors and Multiples Basics: 00:07:00 •Lecture 2: Divisibility tests for 2,3,4,5,6: 00:07:00 •Lecture 3: Divisibility tests for 7,8,9,10,11: 00:11:00 •Lecture 4: Prime Factorisation: 00:13:00 •Lecture 5: Highest Common Factor HCF: 00:13:00 •Lecture 6: HCF - Division Method: 00:10:00 •Lecture 7: Least Common Multiple LCM: 00:14:00 •Downloadable Resources: 00:00:00 •Lecture 1: Classification of Fractions: 00:09:00 •Lecture 2: Convert mixed to improper and improper to mixed fractions: 00:05:00 •Lecture 3: Equivalent Fractions: 00:07:00 •Lecture 4: Comparing Fractions after converting to like fractions: 00:09:00 •Lecture 5: Reducing a fraction to the lowest term: 00:05:00 •Lecture 6: Addition & Subtraction of fractions: 00:09:00 •Lecture 7: Multiplication and Division of Fractions: 00:11:00 •Lecture 8: Find Fractions of whole number quantities or measurements: 00:08:00 •Downloadable Resources: 00:00:00 •Lecture 1: Expanded form of Decimals: 00:08:00 •Lecture 2: Expanded form to Decimal form: 00:03:00 •Lecture 3: Writing fractions to Decimals: 00:04:00 •Lecture 4: Converting Decimals to a fraction: 00:05:00 •Lecture 5: Like & Unlike Decimals: 00:04:00 •Lecture 6: Comparing & Ordering Decimal Numbers: 00:09:00 •Lecture 7: Addition and Subtraction of Decimals: 00:06:00 •Lecture 8: Multiplication of Decimals: 00:07:00 •Lecture 9: Division of Decimals: 00:06:00 •Downloadable Resources: 00:00:00 •Lecture 1: Multiply whole numbers and decimals by 10,100 & 1000: 00:09:00 •Lecture 2: Divide whole numbers and decimals by 10,100 & 1000: 00:05:00 •Downloadable Resources: 00:00:00 •Lecture 1: Squaring of one-digit and two-digit numbers: 00:06:00 •Lecture 1: Simple Formula in words for one step or two steps operations: 00:09:00 •Downloadable Resources: 00:00:00 •Lecture 1: Intro to the metric system: 00:09:00 •Lecture 2: Length, Mass & Capacity: 00:10:00 •Lecture 3: Length, Mass & Capacity Addition & Subtraction: 00:05:00 •Lecture 1: Converting 12-hour time to a 24-hour time: 00:04:00 •Lecture 2: Converting 24-hour time to a 12-hour time: 00:05:00 •Lecture 3: Conversion to different units of Time: 00:09:00 •Lecture 4: Addition with Time: 00:08:00 •Lecture 5: Subtraction with Time: 00:08:00 •Lecture 6: Multiplication with Time: 00:07:00 •Lecture 7: Division with Time: 00:06:00 •Lecture 8: Finding Time interval between given timings Part 1: 00:05:00 •Lecture 9: Finding Time interval between given timings Part 2: 00:10:00 •Lecture 10: Past Paper problem Q1: 00:02:00 •Lecture 11: Past Paper problem Q2: 00:02:00 •Lecture 12: Past Paper problem Q3: 00:05:00 •Lecture 13: Past Paper problem Q4: 00:03:00 •Lecture 14: Past Paper problem Q5: 00:02:00 •Lecture 1: Order of Operations - PEMDAS: 00:10:00 •Lecture 2: Practice Problems on - PEMDAS: 00:05:00 •Downloadable Resources: 00:00:00 •Lecture 1: Estimation and approximation: 00:07:00 •Lecture 2: Estimation using Fractions and Decimals: 00:03:00 •Lecture 1: Simple Ratio and Direct Proportion Part 1: 00:09:00 •Lecture 2: Simple Ratio and Direct Proportion Part 2: 00:04:00 •Lecture 3: Simple Ratio and Direct Proportion Part 3: 00:04:00 •Lecture 1: Scale Drawing: 00:06:00 •Lecture 1: What is the meaning of Percentage?: 00:02:00 •Lecture 2: Percentage to Fraction: 00:07:00 •Lecture 3: Percentage of a quantity and conversation to Decimal: 00:05:00 •Lecture 4: Expressing one Quantity as a Percentage of another Quantity: 00:07:00 •Lecture 5: Calculate Percentages of amounts, increase, decrease by 5,10,15%: 00:11:00 •Lecture 1: Calculate simple interest in multiples of 5% on amounts of money: 00:11:00 •Lecture 2: Calculate discounts in multiples of 5% on amounts of money: 00:08:00 •Downloadable Resources: 00:00:00 •Lecture 1: Problems based on Money: 00:06:00 •Downloadable Resources: 00:00:00 •Lecture 1: What is statistics?: 00:04:00 •Lecture 2: Representation of discrete data in Tables: 00:11:00 •Lecture 3: One-way Tables: 00:03:00 •Lecture 4: Two-way Tables: 00:04:00 •Lecture 5: Grouping of a discrete data Part 1: 00:05:00 •Lecture 6: Grouping of a discrete data Part 2: 00:04:00 •Lecture 7: Represent discrete data in Bar Charts (Graphs)Part 1: 00:08:00 •Lecture 8: Represent discrete data in Bar Charts (Graphs)Part 2: 00:07:00 •Lecture 9: Pie Charts (Circle graphs) Part 1: 00:08:00 •Lecture 10: Pie Charts (Circle graphs) Part 2: 00:05:00 •Lecture 11: Pie Charts (Circle graphs) Part 3: 00:08:00 •Lecture 12: Mean & Range: 00:09:00 •Downloadable Resources: 00:00:00 •Lecture 1: Probability on a scale from 0 to 1: 00:12:00 •Lecture 2: Probabilities of simple events Part 1: 00:03:00 •Lecture 3: Probabilities of simple events Part 2: 00:06:00 •Downloadable Resources: 00:00:00 •Lecture 1: Lines & Angles: 00:08:00 •Lecture 2: Introduction to Triangles: 00:05:00 •Lecture 3: Polygons: 00:05:00 •Lecture 4: More 2D Figures: 00:07:00 •Lecture 5: Line symmetry: 00:05:00 •Lecture 1: Area & Perimeter Part 1: 00:08:00 •Lecture 2: Area & Perimeter Part 2: 00:06:00 •Lecture 3: Area & Perimeter Part 3: 00:08:00 •Downloadable Resources: 00:00:00 •Lecture 1: Calculation of the volumes & Surface Area of cubes and cuboids: 00:08:00

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00