1836 Ethics courses

Description: The Operation and Security Management Diploma course teaches both Operational Management and Security Management concepts and techniques. Throughout the course, you will learn the basics of operation management, human resource management, assets management, supply chain management, and cost management.  Then the course covers the concepts, skills and techniques of Security Management such as types of security threats, identity theft, piracy, data classification, ways of protecting your digital information, malware and more. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Operation and Security Management Diploma 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 Operation and Security Management Diploma 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. 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. Operation and Security Management Diploma - Updated Version Module 01: Introduction To Operations Management Introduction To Operations Management 00:23:00 Module 02: Project Management Project Management 00:22:00 Module 03: Business Development And Succession Planning Business Development And Succession Planning 00:27:00 Module 04: Process Management Process Management 00:26:00 Module 05: Supply Chain Management Supply Chain Management 00:23:00 Module 06: Planning & Forecasting Operations Planning & Forecasting Operations 00:23:00 Module 07: Procurement & Purchasing Management Procurement & Purchasing Management 00:23:00 Module 08: Manufacturing & Delivery Operations Manufacturing & Delivery Operations 00:19:00 Module 09: Quality Management Quality Management 00:23:00 Module 10: Managing Risk And Recovery Managing Risk And Recovery 00:29:00 Module 11: Performance Management Performance Management 00:21:00 Module 12: Talent Management Talent Management 00:20:00 Module 13: Communication Skills Communication Skills 00:26:00 Module 14: Negotiation Techniques Negotiation Techniques 00:19:00 Module 15: Conflict Management Conflict Management 00:17:00 Module 16: Stress Management Stress Management 00:19:00 Module 17: Time Management Time Management 00:40:00 Module 18: Business Environment Business Environment 00:19:00 Module 19: Business Writing Skills Business Writing Skills 00:39:00 Operation and Security Management Diploma - Old Version Module 01 Designing Your Organizational Structure 00:30:00 Introduction to Operations Management 00:15:00 Understanding Financial Terms 00:30:00 Getting the Right People in Place 00:15:00 Getting Your Product Together 00:15:00 Building a Corporate Brand 00:30:00 Marketing Your Product 01:00:00 Selling Your Product 00:15:00 Planning for the Future 00:15:00 Goal Setting and Goal Getting 00:30:00 Succession Planning 101 00:15:00 Managing Your Money 00:15:00 Ethics 101 00:15:00 Building a Strong Customer Care Team 00:15:00 Training Employees for Success 00:15:00 Leadership Essentials 00:15:00 Module 02 The Fundamentals of Business Process Management 00:30:00 Defining Business Process Management 00:30:00 The Business Process Life Cycle 00:15:00 The Vision Phase 00:15:00 The Design Phase 01:00:00 The Modeling Phase 00:30:00 The Execution Phase 01:00:00 The Monitoring Phase 00:30:00 The Optimizing Phase 01:00:00 Module 03 What is Gap Analysis? 00:30:00 The Gap Analysis Process 00:30:00 Supporting Tools 00:30:00 Creating a Gap Analysis Report 00:15:00 Understanding Lean 00:30:00 The Toyota Production System 00:30:00 The Toyota Production System House 00:15:00 The Five Critical Improvement Concepts 00:15:00 Understanding Value with the Kano Model 00:15:00 Types of Waste 00:15:00 Creating a Lean Enterprise 00:15:00 The Plan, Do, Study, Act (PDSA) Cycle 00:15:00 Using the R-DMAIC-S Model 00:15:00 Lean Thinking Tools 00:15:00 Kaizen Events 00:00:00 Data Gathering and Mapping 00:30:00 A Plan to Take Home 00:15:00 Defining Continuous Improvement 00:15:00 Stage One - Identify Areas For Improvement 00:15:00 Stage Two - Create a Plan for Improvement 00:15:00 Stage Three - Implement the Changes 00:15:00 Stage Four - Review the Impact 00:15:00 Test Driving 00:15:00 Module 04 The Evolution of the Supply Chain 00:15:00 The Basic Supply Chain Structure 00:15:00 Supply Chain Drivers 00:15:00 Aligning Your Supply Chain with Business Strategy 00:15:00 Managing Supply Chain Risks 00:15:00 Tracking and Evaluating Supply Chain Data 00:30:00 Troubleshooting Supply Chain Problems 00:15:00 Sharing Supply Chain Activities 00:15:00 Sustainable Supply Chain Strategies 00:15:00 Applying Lean Techniques to the Supply Chain 00:15:00 The Future of Supply Chain Management 00:15:00 Supply Chain Management Basics 00:30:00 The Purchasing Cycle 00:45:00 Purchasing Toolkit 01:00:00 Managing Competitive Bids 00:45:00 Improving Efficiency and Accuracy 00:30:00 Analyzing and Reducing Risk in the Supply Chain 00:30:00 Managing Internal Relationships 00:30:00 Tools of the Trade 00:30:00 Module 05 What is Inventory? 00:30:00 Types of Inventory 00:15:00 Key Players 00:30:00 Setting up the Warehouse 00:15:00 What Makes a Good Inventory Management System? 00:15:00 The Warehouse Inventory Cycle 00:15:00 Identifying Demand 00:15:00 The Receiving Process 00:15:00 Validating Inventory 00:15:00 The Put-Away Process 00:15:00 Maintaining Inventory Accuracy 00:30:00 The Outbound Process 00:30:00 Industry Trends 00:15:00 Module 06 Concept of Quality FREE 00:19:00 Key Terms 00:23:00 Categories 00:21:00 Customer Input 00:11:00 Plan Quality 00:08:00 Design of Experiments 00:07:00 Quality Control 00:11:00 Control Charts 00:11:00 Sampling 00:11:00 Six Sigma 00:08:00 The Steps 00:10:00 The 6 Six Sigma Challenges 00:05:00 Module 07 The Basics Of Security Management 00:15:00 Security Management Planning And Implementing 00:15:00 How to Build a Security Management Team 00:15:00 The Role And Responsibilities of a Security Officer 00:30:00 Security Management Governance 00:15:00 Organizational Security Models 00:30:00 Understanding Risk, Threat, And Vulnerability 00:15:00 Information Risk Management 00:30:00 Different Types of Crimes 00:15:00 Understanding What Burglaries Are 00:15:00 Definition and Dangers of Hijacking 00:15:00 Domestic Violence in the Workplace 00:30:00 Child abuse: Identification, Reporting, and Prevention 00:30:00 Sexual Violence: Prevention Strategies 00:15:00 Module 08 Types of Security Threats 00:29:00 Social Engineering 00:31:00 Identity Theft 00:29:00 Data Classification 00:28:00 Protecting Your Digital Information 00:45:00 Malware 00:17:00 Security from End-to-End 00:27:00 Piracy 00:16:00 Security Policies 00:17:00 Moving Forward 00:12:00 Mock Exam Mock Exam- Operation and Security Management Diploma 00:30:00 Final Exam Final Exam- Operation and Security Management Diploma 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Follow your dreams by enrolling on the Business Process and Operation Management course today and develop the experience, skills and knowledge you need to enhance your professional development. Business Process and Operation Management will help you arm yourself with the qualities you need to work towards your dream job. Study the Business Process and Operation Management training course online with Janets through our online learning platform and take the first steps towards a successful long-term career. The Business Process and Operation Management course will allow you to enhance your CV, impress potential employers, and stand out from the crowd.  This Business Process and Operation Management course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Study the Business Process and Operation Management course through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the Business Process and Operation Management course, to ensure you are supported every step of the way. Get a digital certificate as proof of your Business Process and Operation Management course completion. Janets is one of the top online training course providers in the UK, and we want to make education accessible to everyone! Learn the essential skills you need to succeed and build a better future for yourself with the Business Process and Operation Management course. The Business Process and Operation Management course is designed by industry experts and is tailored to help you learn new skills with ease.  The Business Process and Operation Management is incredibly great value and allows you to study at your own pace. With full course access for one year, you can complete the Business Process and Operation Management when it suits you. Access the Business Process and Operation Management course modules from any internet-enabled device, including computers, tablets, and smartphones. The Business Process and Operation Management course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the Business Process and Operation Management now and start learning instantly! What You Get Out Of Studying Business Process and Operation Management With Janets: Receive a digital Certificate upon successful completion of the Business Process and Operation Management 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) Description The Business Process and Operation Management training course is delivered through Janets' online learning platform. Access the Business Process and Operation Management content from any internet-enabled device whenever or wherever you want to. The Business Process and Operation Management course has no formal teaching deadlines, meaning you are free to complete the course at your own pace. Method of Assessment  To successfully complete the Business Process and Operation Management course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the Business Process and Operation Management course. After successfully passing the Business Process and Operation Management course exam, you will be able to apply for a CPD-accredited certificate as proof of your Business Process and Operation Management qualification. Certification All students who successfully complete the Business Process and Operation Management course can instantly download their digital certificate. You can also purchase a hard copy of the Business Process and Operation Management course certificate, which will be delivered by post for £9.99. Who Is This Course For: The Business Process and Operation Management is ideal for those who already work in this sector or are an aspiring professional. This Business Process and Operation Management 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 Business Process and Operation Management is open to all students and has no formal entry requirements. To study the Business Process and Operation Management course, 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. Career Path: The Business Process and Operation Management is ideal for anyone who wants to pursue their dream career in a relevant industry. Learn the skills you need to boost your CV and go after the job you want. Complete the Business Process and Operation Management and gain an industry-recognised qualification that will help you excel in finding your ideal job. Course Content Module 01 Designing Your Organizational Structure 00:30:00 Introduction to Operations Management 00:15:00 Understanding Financial Terms 00:30:00 Getting the Right People in Place 00:15:00 Getting Your Product Together 00:15:00 Building a Corporate Brand 00:30:00 Marketing Your Product 01:00:00 Selling Your Product 00:15:00 Planning for the Future 00:15:00 Goal Setting and Goal Getting 00:30:00 Succession Planning 101 00:15:00 Managing Your Money 00:15:00 Ethics 101 00:15:00 Building a Strong Customer Care Team 00:15:00 Training Employees for Success 00:15:00 Leadership Essentials 00:15:00 Module 02 The Fundamentals of Business Process Management 00:30:00 Defining Business Process Management 00:30:00 The Business Process Life Cycle 00:15:00 The Vision Phase 00:15:00 The Design Phase 01:00:00 The Modeling Phase 00:30:00 The Execution Phase 01:00:00 The Monitoring Phase 00:30:00 The Optimizing Phase 01:00:00 Module 03 What is Gap Analysis? 00:30:00 The Gap Analysis Process 00:30:00 Supporting Tools 00:30:00 Creating a Gap Analysis Report 00:15:00 Understanding Lean 00:30:00 The Toyota Production System 00:30:00 The Toyota Production System House 00:15:00 The Five Critical Improvement Concepts 00:15:00 Understanding Value with the Kano Model 00:15:00 Types of Waste 00:15:00 Creating a Lean Enterprise 00:15:00 The Plan, Do, Study, Act (PDSA) Cycle 00:15:00 Using the R-DMAIC-S Model 00:15:00 Lean Thinking Tools 00:15:00 Kaizen Events 00:00:00 Data Gathering and Mapping 00:30:00 A Plan to Take Home 00:15:00 Defining Continuous Improvement 00:15:00 Stage One - Identify Areas For Improvement 00:15:00 Stage Two - Create a Plan for Improvement 00:15:00 Stage Three - Implement the Changes 00:15:00 Stage Four - Review the Impact 00:15:00 Test Driving 00:15:00 Module 04 Six Sigma Basics 00:15:00 Improvement Tools 00:30:00 Management Tools for Generating Ideas 00:15:00 Continuous Improvement 00:30:00 Customer Relationships 00:30:00 Module 05 The Evolution of the Supply Chain 00:15:00 The Basic Supply Chain Structure 00:15:00 Supply Chain Drivers 00:15:00 Aligning Your Supply Chain with Business Strategy 00:15:00 Managing Supply Chain Risks 00:15:00 Tracking and Evaluating Supply Chain Data 00:30:00 Troubleshooting Supply Chain Problems 00:15:00 Sharing Supply Chain Activities 00:15:00 Sustainable Supply Chain Strategies 00:15:00 Applying Lean Techniques to the Supply Chain 00:15:00 The Future of Supply Chain Management 00:15:00 Supply Chain Management Basics 00:30:00 The Purchasing Cycle 00:45:00 Purchasing Toolkit 01:00:00 Managing Competitive Bids 00:45:00 Improving Efficiency and Accuracy 00:30:00 Analyzing and Reducing Risk in the Supply Chain 00:30:00 Managing Internal Relationships 00:30:00 Tools of the Trade 00:30:00 Module 06 What is Inventory? 00:30:00 Types of Inventory 00:15:00 Key Players 00:30:00 Setting up the Warehouse 00:15:00 What Makes a Good Inventory Management System? 00:15:00 The Warehouse Inventory Cycle 00:15:00 Identifying Demand 00:15:00 The Receiving Process 00:15:00 Validating Inventory 00:15:00 The Put-Away Process 00:15:00 Maintaining Inventory Accuracy 00:30:00 The Outbound Process 00:30:00 Industry Trends 00:15:00 Module 07 Concept of Quality 00:19:00 Key Terms 00:23:00 Categories 00:21:00 Customer Input 00:11:00 Plan Quality 00:08:00 Design of Experiments 00:07:00 Quality Control 00:11:00 Control Charts 00:11:00 Sampling 00:11:00 Six Sigma 00:08:00 The Steps 00:10:00 The 6 Six Sigma Challenges 00:05:00 Mock Exam Mock Exam- Business Process and Operation Management 00:30:00 Final Exam Final Exam- Business Process and Operation Management 00:30:00

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Lab Technician: Complete Lab Technician Training Are you interested in becoming a lab technician or honing your current abilities as one? If so, enrol in this lab technician course to get the skills you need to become more productive and structured. With an emphasis on Lab technician legal concepts, Lab technician best practices and the underlying expertise, the Lab technician course aimed to provide participants with an in-depth understanding of Lab technicians. The Lab Technician role, laboratory safety, ethics, equipment and instruments are explained in the Lab technician course. You will know the medical terminology, documentation, specimen collection and handling as a Lab technician. All the roles of a Lab Technician in pathology, professional development career paths and many more are explained in this lab Technician. Enrol in the Lab technician course to become more productive at work. Special Offers of this Lab Technician: Complete Lab Technician Training Course This Lab Technician: Complete Lab Technician Training Course includes a FREE PDF Certificates. Lifetime access to this Lab Technician: Complete Lab Technician Training Course Instant access to this Lab Technician: Complete Lab Technician Training Course Get FREE Tutor Support to this Lab Technician: Complete Lab Technician Training Course Lab Technician: Complete Lab Technician Training The Lab Technician: Lab Technician course aimed to give participants a comprehensive understanding of lab technicians with an emphasis on legal concepts, industry best practices, and fundamental competency. The role of the lab technician, as well as laboratory safety, ethics, tools, and equipment, are all explained in the lab technician course. You will be conversant with medical terminology, documentation, and the handling and collection of specimens as a lab technician. This lab technician discusses career options for professional advancement, all of the duties of a lab technician in pathology, and much more. Who is this course for? Lab Technician: Complete Lab Technician Training Anyone who is serious about becoming a skilled lab technician is intended for this Lab Technician: Complete Lab Technician Training Course diploma programme in food microbiology with lab technician courses. Requirements Lab Technician: Complete Lab Technician Training To enrol in this Complete Lab Technician Training Course, students must fulfil the following requirements. To join in our Lab Technician: Complete Lab Technician Training Course, you must have a strong command of the English language. To successfully complete our Lab Technician: Complete Lab Technician Training Course, you must be vivacious and self driven. To complete our Lab Technician: Complete Lab Technician Training Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Complete Lab Technician Training Course. Career path Lab Technician: Complete Lab Technician Training Residents of the UK will benefit from this Lab Technician: Complete Lab Technician Training Course training programme as they look for new employment opportunities as lab technicians.

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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.

Dive into the intricate world of numbers and data with our comprehensive 'Microsoft Excel & Accounting Training' course. Begin your journey by mastering the foundational elements of Microsoft Office Excel 2016, from the basics of worksheet modifications to the art of data visualisation using charts. As you progress, pivot your attention towards the meticulous realm of accounting. Here, you'll unravel the secrets of the accounting equation, immerse yourself in transaction analyses, and culminate your learning by understanding the complete accounting cycle. Whether you're looking to enhance your data management skills or embark on a career in accounting, this course is your stepping stone to success. Learning Outcomes: Acquire proficiency in utilising Microsoft Excel 2016 for data analysis, visualisation, and workbook management. Understand the core principles of accounting, including the accounting equation and transaction analysis. Demonstrate the ability to prepare financial statements and complete the accounting cycle. Implement advanced Excel features such as PivotTables, PivotCharts, and Lookup Functions. Apply knowledge in real-world scenarios, including fiscal year evaluations and spreadsheet exercises. Why buy this Microsoft Excel & Accounting Training? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Microsoft Excel & Accounting Training Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience Who is this Microsoft Excel & Accounting Training course for? Individuals aiming to bolster their data analysis and management capabilities. Aspiring accountants keen on understanding the fundamentals of the profession. Business owners desiring a deeper grasp of financial statements and accounting cycles. Students pursuing a career in finance or data management. Professionals looking to integrate Excel functionalities into their daily tasks. Career path Data Analyst: Average salary range: £25,000 - £40,000 Annually Accountant: Average salary range: £28,000 - £52,000 Annually Financial Controller: Average salary range: £40,000 - £70,000 Annually Management Accountant: Average salary range: £30,000 - £55,000 Annually Excel Specialist: Average salary range: £22,000 - £35,000 Annually Bookkeeper: Average salary range: £18,000 - £30,000 Annually Prerequisites This Microsoft Excel & Accounting Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Excel & Accounting Training 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 **Microsoft Excel** Getting Started with Microsoft Office Excel 2016 Navigate the Excel User Interfact 00:28:00 Use Excel Commands 00:10:00 Create and Save a Basic Workbook 00:19:00 Enter Cell Data 00:12:00 Use Excel Help 00:05:00 Performing Calculations Create Worksheet Formulas 00:15:00 Insert Functions 00:17:00 Reuse Formulas and Functions 00:17:00 Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Formatting a Worksheet Apply Text Formats 00:16:00 Apply Number Format 00:07:00 Align Cell Contents 00:09:00 Apply Styles and Themes 00:12:00 Apply Basic Conditional Formatting 00:11:00 Create and Use Templates 00:08:00 Printing Workbooks Preview and Print a Workbook 00:10:00 Set Up the Page Layout 00:09:00 Configure Headers and Footers 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:06:00 Working with Functions Work with Ranges 00:18:00 Use Specialized Functions 00:11:00 Work with Logical Functions 00:23:00 Work with Date & Time Functions 00:08:00 Work with Text Functions 00:11:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Create and Modify Tables 00:16:00 Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Sharing and Protecting Workbooks Collaborate on a Workbook 00:19:00 Protect Worksheets and Workbooks 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 **Accounting Training** Professional Bookkeeper Introduction Professional Bookkeeper 00:09:00 Introduction to Accounting and Business Defining a Business 00:07:00 Ethics in Accounting 00:05:00 Generally Accepted Accounting Principles (GAAP) 00:10:00 The Accounting Equation The Accounting Equation 00:07:00 Transactions 00:11:00 Financial Statements 00:13:00 Analyzing Transactions The Accounting Equation and Transactions 00:16:00 Double-Entry System 00:11:00 Transactions - Journalizing 00:17:00 Journal Entries 00:38:00 Entering Information - Posting Entries Posting Entries 00:10:00 The Trial Balance 00:10:00 Finding Errors Using Horizontal Analysis 00:09:00 Horizontal Trend : Balance Sheet 00:21:00 Horizontal Trend: Income Statement 00:36:00 Adjusting Process The Purpose of the Adjusting Process 00:15:00 Adjusting Entries Adjusting Entries - Prepaid Expenses 00:13:00 Adjusting Entries - Accrued Revenues 00:10:00 Adjusting Entries - Depreciation Expense 00:09:00 Adjustment Summary Adjustment Summary - Review 00:13:00 Vertical Analysis 00:33:00 Preparing a Worksheet Preparing a Worksheet 00:06:00 Financial Statements The Income Statement 00:11:00 Financial Statements - Definitions 00:12:00 Completing the Accounting Cycle Temporary vs. Permanent Account 00:19:00 The Accounting Cycle Illustrated Accounting Cycle Illustrated - Steps 1-5 00:11:00 Accounting Cycle Illustrated - Steps 6-10 00:12:00 Fiscal Year Fiscal Year 00:09:00 Spreadsheet Exercise Spreadsheet Exercise - Steps 1-4 00:11:00 Spreadsheet Exercise - Steps 5-7 00:37:00

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