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Course Curriculum Course Introduction Introduction 00:04:00 Course Curriculum overview 00:04:00 Overview of Databases 00:08:00 SQL Environment Setup PostgreSQL Installation 00:13:00 Connecting to PostgreSQL using psql 00:04:00 Connecting to PostgreSQL using PgAdmin 00:07:00 Creating Database and Tables Basic of Database and Tables 00:06:00 Data Types 00:07:00 Primary Keys and Foreign Keys 00:04:00 Create Table in SQL Script 00:17:00 Insert 00:05:00 Update 00:05:00 Delete 00:03:00 Alter Table 00:05:00 Drop Table 00:02:00 Check Constraint 00:12:00 NOT NULL Constraint 00:04:00 UNIQUE Constraint 00:06:00 SQL Statement Basics Overview of Challenges 00:04:00 SQL Statement Basic 00:07:00 SELECT Statement 00:12:00 SELECT DISTINCT 00:10:00 Column AS Statement 00:07:00 COUNT 00:07:00 SELECT WHERE Clause - One 00:06:00 SELECT WHERE Clause - Two 00:11:00 ORDER 00:05:00 LIMIT 00:04:00 BETWEEN keyword usage on real time 00:08:00 IN Operator 00:06:00 LIKE and ILIKE 00:10:00 GROUP BY Statements Overview of GROUP BY 00:03:00 Aggregation Function 00:12:00 GROUP BY - One 00:05:00 GROUP BY - Two 00:06:00 HAVING on SQL Statement 00:04:00 JOINS Overview of JOINS 00:07:00 Introduction to JOINS 00:06:00 AS Statement table 00:05:00 INNER Joins 00:14:00 Full Outer Joins 00:04:00 Left Outer join 00:03:00 Right Outer Join 00:05:00 Union 00:05:00 Advanced SQL Commands Basic of Advanced SQL Commands 00:04:00 Timestamps 00:17:00 Extract from Timestamp 00:05:00 Mathematical Functions 00:06:00 String Functions 00:16:00 SubQuery 00:08:00 Databases and Tables Overview of Databases and Tables 00:02:00 Creating a Database backup 00:03:00 Restoring a Database from backup 00:04:00 Mock Exam Mock Exam - The Complete SQL from Scratch: Bootcamp 00:20:00 Final Exam Final Exam - The Complete SQL from Scratch: Bootcamp 00:20:00
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Enrol on the now and start learning instantly! What You Get With The SAP S4HANA Controlling Level 2 Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SAP S4HANA Controlling Level 2, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Introduction to the Course Introduction to the course 00:02:00 Introduction to SAP Controlling Introduction to the Chapter 00:05:00 What is SAP Controlling Module All About 00:21:00 What is Cost Center Accounting 00:06:00 Recap of what we've learnt 00:01:00 Deep-dive to Cost Center Accounting Basic Configurations in SAP Controlling 00:37:00 Real-time Business Scenario and Master Data Creation in SAP CO 00:25:00 Introduction to Document Splitting 00:05:00 Postings to Cost Center Accounting 00:10:00 Plan vs Actual reports in SAP Cost Center Accounting 00:02:00 Manual Transfer of Costs KB11N 00:07:00 Plan vs Actual postings in Cost Center Accounting 00:07:00 Manual Transfer of Costs kb61 00:09:00 SAP Allocation Using Distribution Cycles 00:16:00 SAP Allocation Using Assessment Cycles with Statistical Key Figures (SKFs) 00:20:00 Statistical / Cryptic Document Numbers in SAP S4HANA Controlling 00:05:00 Bonus Lectures Real vs Statistical Postings in SAP S4HANA Controlling 00:11:00 SAP ASAP vs Activate Methodologies 00:18:00 Assignment Assignment - SAP S4HANA Controlling Level 2 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
Course Overview Acquiring an expert hand in JavaScript can be massive support for climbing the career ladder. The JavaScript Data Structures Foundation Course is here to improve your Java skills. In the course, you will learn the essentials of JavaScript data structure and add one more valuable skill set to your list. The JavaScript Data Structures Foundation Course will teach you the fundamentals of JavaScript concepts. There will be extensive lessons on how to list and stack data structures. You will become skilled in implementing content. The modules will cover detailed information about setting data structure and the skills to implement different set features. You will become an expert in creating unique sets. In this step by step process, you will achieve the expertise to build a solid foundation in this subject. This JavaScript Data Structures Foundation Course will provide you with theoretical knowledge and practical skills on JavaScript data structure. Enroll the course and boost your career in the relevant sector. Learning Outcomes Learn about the essential JavaScript concepts Comprehend the skills to list and stack data structures Understand the process of implementing contents and clear features Enrich your knowledge of queue data structure Identify the challenges and gain the skills to overcome them Know the procedure of creating a unique set Who is this course for? Web Developers, programmers or anyone interested to build their skills in this area. 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. Certification After you have successfully completed the course, 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 hardcopy at the cost of £39 or in PDF format at the 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 recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The JavaScript Data Structures Foundation Course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Programmer Web Developer Introduction Welcome to the Course 00:03:00 Essential Concepts Essential Concepts 00:02:00 Constructor Function 00:09:00 Protoype 00:04:00 Class 00:04:00 List Data Structure List Data Structure 00:01:00 Creating Class For List Data Structure 00:03:00 Implementing Add And Remove Feature 00:09:00 Working On Find And Remove Feature 00:08:00 Creating InsertAfter Feature 00:05:00 Implementing Contains And Clear Feature 00:04:00 Challenge - Work On Traverse List Features 00:03:00 Solution - Implementing List Traverse Features 00:08:00 Challenge - Work On DisplayElementNameOnPostion Features 00:01:00 Solution - Implementing DisplayElementNameOnPostion Features 00:06:00 Stack Data Structure Stack Data Structure 00:03:00 Using Object To Create Stack Class 00:04:00 Implementing Push and Pop Feature 00:09:00 Working with Peek and Clear Feature 00:04:00 Challenge - Extend Stack Class Feature 00:01:00 Solution - Extending Stack Class Feature 00:03:00 Challenge - Convert Stack Class From Object To Array Class 00:01:00 Solution - Converting Stack Class From Object To Array Class 00:05:00 Queue Data Structure Queue Data Structure 00:03:00 Using Object To Create Queue Class 00:04:00 Implementing Enqueue Feature 00:03:00 Implementing Tricky Dequeue Feature 00:09:00 Working On PeeK Size and Clear Features 00:03:00 Extending Features With Two Extra Methods 00:06:00 Challenge Convert Queue Class From Object To Array Class 00:01:00 Solution Converting Queue Class From Object To Array Class 00:04:00 Set Data Structure Set Data Structure 00:02:00 Creating Set Class 00:03:00 Implementing Add And Remove Feature 00:09:00 Working On Contains, Show And Size Method 00:05:00 Creating Unique Set 00:09:00 Adding Mutual Members Feature 00:04:00 Challenge Implement Difference Set Feature 00:02:00 Solution Implementing Difference Set Feature 00:03:00 Final Thought Final Thought 00:01:00 Resources Resources - JavaScript Data Structures Foundation Course 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Embark on a journey to mastering the world of web design with our 'CSS Fundamentals' course. This meticulously designed program invites learners into the heart of website styling, starting with 'CSS in Context' in Unit 01. Here, you'll be introduced to the significance of CSS in modern web design, laying a solid foundation for the modules ahead. In Unit 02, 'Overview of CSS', the course unravels the mysteries of CSS, providing an in-depth look at its functionality and scope. This is where your adventure in web styling truly begins. As you progress, Unit 03, 'Styling HTML Elements with CSS', immerses you in the practical aspect of web design. You'll learn how to breathe life into HTML elements, transforming them from basic structures to visually appealing components of a web page. In Unit 04, 'Arranging Elements with CSS', the course takes a deeper dive, guiding you through the intricacies of layout design. This unit equips you with the skills to meticulously organize and present content on a web page, ensuring both functionality and aesthetic appeal. Throughout the course, you'll engage with interactive learning resources, practical exercises, and real-world examples, ensuring that you not only understand the theory behind CSS but also gain the confidence to apply it in practical scenarios. Whether you're a beginner looking to start a career in web design or a professional seeking to enhance your skill set, this course offers a comprehensive, user-friendly approach to understanding and mastering CSS. Learning Outcomes Acquire a thorough understanding of the role and importance of CSS in web design. Develop the skills to style HTML elements effectively using CSS. Gain proficiency in arranging web page elements for optimal layout and design. Understand the principles behind responsive design and cross-browser compatibility. Enhance your ability to create visually appealing and user-friendly websites. Why choose this CSS Fundamentals course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this CSS Fundamentals course for? Beginners aspiring to become proficient in web design. Front-end developers seeking to strengthen their CSS skills. Graphic designers looking to expand their digital skillset. Website hobbyists interested in creating more engaging web pages. Professionals in digital marketing aiming to understand web design fundamentals. Career path Web Designer: £25,000 - £40,000 Front-End Developer: £30,000 - £50,000 UX/UI Designer: £28,000 - £45,000 Web Content Manager: £24,000 - £38,000 Freelance Web Developer: £35,000 - £60,000 Digital Marketing Specialist: £26,000 - £42,000 Prerequisites This CSS Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning. This 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: CSS in Context Module 01: What Was CSS Originally Intended To Do? 00:07:00 Module 02: DEMO: The Most Basic CSS Usage 00:07:00 Module 03: Responsive Design 00:02:00 Module 04: Chapter Summary 00:02:00 Unit 02: Overview of CSS Module 01: What is CSS? 00:04:00 Module 02: Where Can You Find CSS? 00:03:00 Module 03: What CSS Can and Can't Do 00:02:00 Module 04: Optional Demo - Serving an HTML Application 00:05:00 Module 05: How Do we Add CSS to a Website? 00:04:00 Module 06: Demo - Adding CSS to a Website 00:06:00 Module 07: CSS Selectors 00:03:00 Module 08: Demo - Using CSS Selectors 00:05:00 Module 09: Module Summary 00:01:00 Unit 03: Styling HTML Elements with CSS Module 01: Why do We Style CSS Elements? 00:03:00 Module 02: CSS and Fonts 00:03:00 Module 03: DEMO: Styling Text with CSS 00:07:00 Module 04: Sizing HTML Elements with CSS 00:06:00 Module 05: DEMO: Sizing HTML Elements with CSS 00:08:00 Module 06: Colorizing HTML Elements with CSS 00:05:00 Module 07: DEMO: Colorizing HTML Elements with CSS 00:07:00 Unit 04: Arranging Elements with CSS Module 01: Introduction 00:01:00 Module 02: Adding Margin with CSS 00:01:00 Module 03: Advanced Positioning with CSS 00:04:00 Module 04: DEMO: Positioning Elements Absolutely and Relatively 00:07:00 Module 05: Positioning HTML Elements with Float 00:02:00 Module 06: DEMO: Positioning HTML Elements with Float 00:07:00 Module 07: Summary of this Course 00:04:00 Assignment Assignment - CSS Fundamentals 00:00:00
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Diet Components Current Dietary Patterns in The UK Summary Assessment Module 02: Nutrients for Life - Macronutrients Introduction Protein Need of Protein to SurviveDifferent Sources of ProteinConsequences of Excessive Protein Intake Fats Different types of FatsEffects of Different Fats on Human BodyFats Human Should Consume Carbohydrates Human Need for CarbohydratesDifferent types of Carbs Energy balance Summary Assessment Module 03: Nutrients for Life - Micronutrients Vitamins Vitamin AVitamin BVitamin CVitamin DVitamin EVitamin K Minerals and Trace Elements CalciumPhosphorusIronZincCopperodineSeleniumMagnesiumPotassiumSodiumManganese Dietary Supplements Health Supplements Special Nutrients Fibre Summary Assessment Module 04: Nutrition Requirements from Pregnancy to Teenage Nutrition in Maternity and Lactation Nutrition at conceptionNutrition during pregnancyLactation Nutrition in Babies and Preschool Children Growth ratesBreastfeedingFormula MilkWeaningPreschool children Nutrition in SchoolâAge Children and Teenagers Growth ratesNutritional needsNew initiatives Summary Assessment Module 05: Nutrition Requirements for Adults and Various Groups Nutrition and Early Origins of Adult Disease Early evidenceProgrammingDevelopmental consequencesLinks to maternal nutrition Nutrition in Adults The process of ageingAssessment of older adults Nutrition of Religious and Ethnic Groups The nutritional relevance of migrationEthnic minority groups in the UKReligion and dietNutritional issues Summary Assessment Module 06: Healthy Dieting Which Foods to Choose? How Much to Eat? What Are The Features of a Nutritionally Balanced Diet Distribution of Nutritional Requirements in A Population Dietetic Planning Summary Assessment Module 07: Eating Disorders Defining Eating Disorder Eating Disorder Types Signs of Eating Disorders Reasons Why People Get Eating Disorders Who Develops Eating Disorders? Preventing Eating Disorders Treatment for Eating Disorders Main Treatments for Anorexia NervosaMain Treatments for Bulimia NervosaMain Treatments for Binge Eating Disorder Summary Assessment Module 08: Diet and Nutrition Related Diseases Overweight and Obesity Underweight and Negative Energy Balance Nutrition and Cancer Diet and Cardiovascular Disease Adverse Reactions to Food and Inborn Faults of Metabolism Summary Assessment Module 09: Use of Nutrition in Different Illnesses/Diseases Nutrition in Infections and Fever Nutrition in Diseases of the Gastrointestinal Tract Nutrition in Diseases of Liver, Gallbladder and Pancreas Nutrition in Immune System Dysfunction, AIDS and Allergy Nutrition in Stress, Burns and Surgery Summary Assessment Module 10: Weight Control Management Overview of Healthy Weight Energy Balance Counting Calories Balanced Diet and Weight Control Adopting Active Lifestyles Benefits of Exercise in a Weight Control Programme Calorie Requirement Summary Assessment Module 11: Weight Loss Management Benefits of Weight Loss The Motivation for Weight Loss Psychological Factors for Weight Loss Basal Metabolic Rate Functions of Human Metabolism Speed of Metabolism Reasons for Weight Gain Healthy Eating Maintaining a Healthy Weight Summary Assessment Module 12: The Relationship between Nutrition and Mental Health Protective Factors for Mental Health Fruit and VegetablesVitamins, Minerals and Acids Risk Factors for Mental Health Consuming Processed Foods and Additives The Role of Food in Preventing Mental Health Problems The Role of Diet in Relation to Specific Mental Health Problems DepressionSchizophreniaDementiaAttention Deficit Hyperactivity Disorder (ADHD) Module 13: Disorders of Mood and Behaviour Mood Disorders Assessment Essentials Attention Deficit Hyperactivity Disorder (ADHD) Schizophrenia Assessment Essential Alzheimer's Disease Bipolar Disorder Assessment Essentials Anxiety Disorders Show off Your New Skills with a Certification of Completion The learners have to successfully complete the course to achieve the CPDQS accredited certificate. 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Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.
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Unlock the power of data with our Basic Data Analysis Course. Learn essential techniques to interpret and draw insights from raw information. Enroll now to kickstart your data analysis journey and make informed decisions in any field.
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