Get Hard Copy + PDF Certificates + Transcript + eStudent ID Card worth £160 as a Gift - Enrol Document Control Now Without Document Control, an entity would be like a graduate without any certificate. All the achievements, effort, and money everything would go in vain. Needless to say, Document Control is an essential part of any organisation. Moreover, ISO 9001:2015 made it mandatory for organisations to maintain Document Control for the quality management system. Safe to say, this makes it necessary for all employers and employees to have knowledge about Document Control. To your relief, this bundle will equip you with all the necessary knowledge and skills required for Document Control. Through this Document Control bundle, you will find out Document Control strategies and instruments along with Document Control principles. Furthermore, you will learn about electronic document management and soft copy documentation. Additionally, you will adapt skills for business writing and copyediting. Moreover, you will understand the concept of paralegal GDPR data protection. Throughout this Document Control course, you will also pick up different office skills and familiarise yourself with the essentials of Microsoft Office. This Document Control Courses Bundle Consists of the following Premium courses: Course 01: Document Control Course 02: Paralegal Course 03: Business Writing Course 04: Proofreading & Copyediting Course 05: GDPR Data Protection Level 5 Course 06: Workplace Confidentiality Course 07: Office Skills Course 08: Minute Taking Essentials Level 2 Course 09: Level 2 Microsoft Office Essentials Course 10: Touch Typing Essentials Course 11: Stress Management Training Key features of this Document Control course: This Document Control bundle is CPD QS Accredited Learn from anywhere in the world Lifetime access Document Control is entirely online 24/7 Learner support So enrol now in this Document Control to advance your career! The Document Control bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Document Control expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn Document Control from any place in your own time without travelling for classes. The curriculum of the Document Control Courses bundle Course 1: Document Control Module 1: Introduction Module 2: Principles of and Elements of Environment Module 3: Lifecycle Module 4: Strategies and Instruments Module 5: Document Management Module 6: Quality Assurance and Controlling Quality of Documents Module 7: Project Module 8: Electronic Document Management Systems and Soft Copy Documentation The detailed curriculum of the Document Control bundle is given in the resources section. How will I get my Document Control Certificate? After successfully completing the Document Control course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Document Control Courses bundle is specially designed for those seeking to broaden their knowledge about this mandatory concept/skill to increase efficiency and avoid breaching any rule or law. Therefore, this Document Control bundle is ideal for- Students Graduates Job Seekers Job Holders Entrepreneurs Requirements No Requirements to enrol in this Document Control Training Career path This Document Control Courses bundle will enhance your knowledge and skills for many career opportunities, including- Data Administrator HR Manager Office Administrator For these career opportunities, the average salary generally varies from £20,000 to £35,000 a year. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Document Control) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
Dealing with the challenges of Volatility, Uncertainty, complexity and Ambiguity
CPD QS Accredited | Instant Access | 24/7 Tutor Support
Duration 4 Days 24 CPD hours This course is intended for If you're a developer with a keen interest in providing automated solutions for your organization, this certification could be a great fit for you. You automate time-consuming and repetitive tasks by using Microsoft Power Automate. You review solution requirements, create process documentation, and design, develop, deploy, integrate, troubleshoot, and evaluate solutions. Working with business stakeholders, you help to improve and automate business workflows. Overview After completing this course, students will be able to: Design RPA solutions Develop RPA solutions Deploy and manage RPA solutions Candidates for this course automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions. Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions. Module 1: Get started with Power Automate for desktop Get started with Power Automate for desktop by learning about flows, creating automated steps, and flow development essentials. Module 2: Automate processes with Robotic Process Automation and Power Automate for desktop Work with Power Automate for desktop to record Windows and Web applications, but also use out of box actions such as manipulating Excel documents as part of an end to end invoice processing solution. Module 3: Work with Power Automate for desktop Work with Power Automate for desktop options, flows, recording features, conditions, loops, variables, images, and error and exception handling. Module 4: Work with different technologies in Power Automate for desktop Learn how to automate email handling, Excel, user interface, and system services with Power Automate for desktop. Module 5: Implement advanced logic in Power Automate for desktop Learn how to work with system flows, control flows, mimic mouse actions, as well as operations used to manipulate text, date, and time in Power Automate for desktop. Module 6: Build expertise with Power Automate for desktop Learn how to use Power Automate for desktop to work with Power Automate, OCR technologies, and scripting. Module 7: Build custom connectors for Power Automate This Learning Path explores custom connectors and explains how to configure them and use them with Microsoft Power Automate Module 8: Use best practices to secure and govern Microsoft Power Platform environments This module focuses on introducing Microsoft Power Platform environments and their role in creating Data Loss Prevention (DLP) policies by using examples and use cases. A brief introduction and overview of tools will also be discussed, including Microsoft Power Platform and Power Automate Admin experiences and Microsoft Power Platform Center of Excellence (COE) toolkit. Additional course details: Nexus Humans PL-500T00 Microsoft Power Automate RPA Developer 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 PL-500T00 Microsoft Power Automate RPA Developer 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.
This is a comprehensive course for learning Bootstrap 4 in no time. It starts with a basic introduction to Bootstrap 4 and then moves on to explain the concepts that play a crucial role in building responsive websites. The course will help you to encapsulate your learning by working on interesting projects.
Duration 4 Days 24 CPD hours This course is intended for This course is for experienced cloud security engineers who have taken a previous certification in the security, compliance and identity portfolio. Specifically, students should have advanced experience and knowledge in a wide range of security engineering areas, including identity and access, platform protection, security operations, securing data, and securing applications. They should also have experience with hybrid and cloud implementations. Beginning students should instead take the course SC-900: Microsoft Security, Compliance, and Identity Fundamentals. This is an advanced, expert-level course. Although not required to attend, students are strongly encouraged to have taken and passed another associate level certification in the security, compliance and identity portfolio (such as AZ-500, SC-200 or SC-300) before attending this class. This course prepares students with the expertise to design and evaluate cybersecurity strategies in the following areas: Zero Trust, Governance Risk Compliance (GRC), security operations (SecOps), and data and applications. Students will also learn how to design and architect solutions using zero trust principles and specify security requirements for cloud infrastructure in different service models (SaaS, PaaS, IaaS). Prerequisites Highly recommended to have attended and passed one of the associate level certifications in the security, compliance and identity portfolio (such as AZ-500T00 Microsoft Azure Security Technologies, SC-200T00: Microsoft Security Operations Analyst, or SC-300T00: Microsoft Identity and Access Administrator.) Advanced experience and knowledge in identity and access, platform protection, security operations, securing data and securing applications. Experience with hybrid and cloud implementations. 1 - Introduction to Zero Trust and best practice frameworks Zero Trust initiatives Zero Trust technology pillars part 1 Zero Trust technology pillars part 2 2 - Design solutions that align with the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF) Define a security strategy Cloud Adoption Framework secure methodology Design security with Azure Landing Zones The Well-Architected Framework security pillar 3 - Design solutions that align with the Microsoft Cybersecurity Reference Architecture (MCRA) and Microsoft cloud security benchmark (MCSB) Design solutions with best practices for capabilities and controls Design solutions with best practices for attack protection 4 - Design a resiliency strategy for common cyberthreats like ransomware Common cyberthreats and attack patterns Support business resiliency Ransomware protection Configurations for secure backup and restore Security updates 5 - Case study: Design solutions that align with security best practices and priorities Case study description Case study answers Conceptual walkthrough Technical walkthrough 6 - Design solutions for regulatory compliance Translate compliance requirements into a security solution Address compliance requirements with Microsoft Purview Address privacy requirements with Microsoft Priva Address security and compliance requirements with Azure policy Evaluate infrastructure compliance with Defender for Cloud 7 - Design solutions for identity and access management Design cloud, hybrid and multicloud access strategies (including Azure AD) Design a solution for external identities Design modern authentication and authorization strategies Align conditional access and Zero Trust Specify requirements to secure Active Directory Domain Services (AD DS) Design a solution to manage secrets, keys, and certificates 8 - Design solutions for securing privileged access The enterprise access model Design identity governance solutions Design a solution to secure tenant administration Design a solution for cloud infrastructure entitlement management (CIEM) Design a solution for privileged access workstations and bastion services 9 - Design solutions for security operations Design security operations capabilities in hybrid and multicloud environments Design centralized logging and auditing Design security information and event management (SIEM) solutions Design solutions for detection and response Design a solution for security orchestration, automation, and response (SOAR) Design security workflows Design threat detection coverage 10 - Case study: Design security operations, identity and compliance capabilities Case study description Case study answers Conceptual walkthrough Technical walkthrough 11 - Design solutions for securing Microsoft 365 Evaluate security posture for collaboration and productivity workloads Design a Microsoft 365 Defender solution Design configurations and operational practices for Microsoft 365 12 - Design solutions for securing applications Design and implement standards to secure application development Evaluate security posture of existing application portfolios Evaluate application threats with threat modeling Design security lifecycle strategy for applications Secure access for workload identities Design a solution for API management and security Design a solution for secure access to applications 13 - Design solutions for securing an organization's data Design a solution for data discovery and classification using Microsoft Purview Design a solution for data protection Design data security for Azure workloads Design security for Azure Storage Design a security solution with Microsoft Defender for SQL and Microsoft Defender for Storage 14 - Case study: Design security solutions for applications and data Case study description Case study answers Conceptual walkthrough Technical walkthrough 15 - Specify requirements for securing SaaS, PaaS, and IaaS services Specify security baselines for SaaS, PaaS, and IaaS services Specify security requirements for web workloads Specify security requirements for containers and container orchestration 16 - Design solutions for security posture management in hybrid and multicloud environments Evaluate security posture by using Microsoft Cloud Security Benchmark Design integrated posture management and workload protection Evaluate security posture by using Microsoft Defender for Cloud Posture evaluation with Microsoft Defender for Cloud secure score Design cloud workload protection with Microsoft Defender for Cloud Integrate hybrid and multicloud environments with Azure Arc Design a solution for external attack surface management 17 - Design solutions for securing server and client endpoints Specify server security requirements Specify requirements for mobile devices and clients Specify internet of things (IoT) and embedded device security requirements Secure operational technology (OT) and industrial control systems (ICS) with Microsoft Defender for IoT Specify security baselines for server and client endpoints Design a solution for secure remote access 18 - Design solutions for network security Design solutions for network segmentation Design solutions for traffic filtering with network security groups Design solutions for network posture management Design solutions for network monitoring 19 - Case study: Design security solutions for infrastructure Case study description Case study answers Conceptual walkthrough Technical walkthrough Additional course details: Nexus Humans SC-100T00 Microsoft Cybersecurity Architect 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 SC-100T00 Microsoft Cybersecurity Architect 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.
About this Training Course This 5 full-day course has been designed to develop skills in understanding the geometry and petrophysical characteristics of carbonate reservoirs. Depositional fabric, grain type and size and subsequent diagenetic modifications are the major controls on carbonate reservoir behaviour. The complex inter-relationship of the depositional and burial history can be unravelled to allow prediction of reservoir facies and reconstruction of three-dimensional reservoir models. This course will demonstrate the value of the reservoir model in volumetric assessment and development of carbonate reservoirs. *Previous knowledge of carbonate sedimentology is not required. Course Content in Summary: Carbonate reservoirs: Basic principles; depositional concepts; grain types; textures and fabrics; environmental reconstruction. The reservoir model - depositional and diagenetic characteristics: Sabkha/tidal flat; lagoon; shelf; reef (rudist and coral/algal); barrier/shoal; slope and redeposited; aeolian and lacustrine; karst plays. Carbonate diagenesis: Primary and secondary porosity; compaction; pressure solution; cementation; dolomitisation; porosity generation and destruction; fractures. Carbonate sequence stratigraphy Log response in carbonate rocks: Gamma; sonic; neutron; density; FMS. Reservoir assessment: Fracture reservoirs; reservoir modelling; volumetric assessment in correlation and mapping; effects of capillary pressure; interface with engineering. Training Objectives By attending this course, participants will be able to: Understand carbonate depositional systems and controls. Recognise and model controls on reservoir quality and pore systems, including diagenesis and fracturing. Understand and apply carbonate seismic stratigraphy and sequence stratigraphy. Interpret log responses. Target Audience This course is intended for petroleum geologists, explorationists, petrophysicists, geophysicists and engineers involved with exploration of carbonate plays and development of carbonate reservoirs. Trainer Your expert course leader is a Director and Senior Consultant Geologist who has worked on various carbonate consultancy projects, conducted detailed sedimentological, sequence stratigraphic and diagenetic technical studies and delivered training programmes. He was formerly Managing Director of Robertson UK Limited and was responsible for the integration between different disciplines, recognition, and encouragement of technical innovation and research and development programmes across all oil and gas divisions in the company. He was also responsible for all aspects of the performance of the main Geological, Geophysical and Reservoir Engineering Services in the company. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations
The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00
Venture into the dynamic realm of operations management with our comprehensive course, crafted to mold you into a master of operational excellence. This educational odyssey starts with an introduction to the fundamentals of operations management, laying the groundwork for a deep dive into the intricacies of efficient and effective business operations. As you navigate through the modules, you will encounter the strategic world of project management, a cornerstone in driving successful business initiatives. Imagine orchestrating the symphony of business development, process, and supply chain management, harmonizing each aspect to create a seamless operational flow. This course meticulously guides you through advanced concepts like planning and forecasting, procurement, and manufacturing operations, each module building upon the last to create a robust understanding of the field. Delve into the critical areas of quality management, risk mitigation, and performance optimization. Towards the latter modules, the course enriches your managerial skill set, focusing on talent management, communication, negotiation, and conflict resolution, essential for navigating the complexities of the contemporary business landscape. Learning Outcomes Attain a solid foundation in operations management principles. Develop strategic project management skills. Master the essentials of supply chain and process management. Learn effective techniques in planning, forecasting, and procurement. Enhance skills in quality, risk, and performance management. Why choose this Operations Management 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 Operations Management course for? Aspiring operations managers seeking comprehensive knowledge. Business professionals aiming to refine operational strategies. Individuals interested in a career in supply chain management. Managers looking to enhance their project management skills. Entrepreneurs seeking to optimize their business operations. Career path Operations Manager - £30,000 to £55,000 Project Manager - £33,000 to £50,000 Supply Chain Coordinator - £25,000 to £40,000 Quality Assurance Manager - £30,000 to £45,000 Risk Management Specialist - £35,000 to £55,000 Business Development Executive - £28,000 to £50,000 Prerequisites This Operations Management Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Operations Management Diploma 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 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
Embark on a transformative journey with the 'Train The Trainer' course, designed to empower you with the skills and strategies needed to excel in the realm of training and education. From creating a welcoming environment to captivating your audience with engaging openers, you'll master the art of building credibility, fostering rapport, and delivering impactful sessions. Uncover innovative techniques that make learning memorable, ensuring your success as a dynamic and effective trainer. Learning Outcomes: Create a welcoming and inclusive learning environment. Employ strategies to establish trust and safety among participants. Develop captivating opening techniques to engage and pique learners' interest. Build credibility and establish rapport with diverse audiences. Utilize effective communication skills to convey information clearly and persuasively. Craft interactive and engaging activities that enhance the learning experience. Implement feedback and assessment mechanisms to gauge learning outcomes. Apply adult learning principles and instructional design concepts for optimal training. Why buy this Train The Trainer? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Train The Trainer there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Train The Trainer does not require you to have any prior qualifications or experience. You can just enrol and start learning. Aspiring trainers and educators eager to enhance their teaching methodologies. Professionals transitioning into training roles within their organizations. Corporate trainers aiming to refine their training delivery techniques. Individuals passionate about sharing knowledge and making a meaningful impact. Prerequisites This Train The Trainer was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Corporate Trainer - Median salary of $60,208 per year. Learning and Development Specialist - Median salary of $60,360 per year. Educational Consultant - Median salary of $59,280 per year. Workshop Facilitator or Seminar Speaker - Income potential varies based on engagements. Online Course Instructor - Income varies based on course popularity and student enrollment. Course Curriculum Introduction and Welcome Introduction to Trainer Bootcamp 00:12:00 What Makes a Great Trainer? 00:18:00 Make Them Feel Safe Before Class Make Them Feel Safe Before Class Introduction 00:00:00 Make Comfortable Small Talk - Part 1 00:17:00 Make Comfortable Small Talk - Part 2 00:20:00 Make Comfortable Small Talk - Activity Feedback 00:09:00 Make an Impressive First Impression 00:15:00 Give Last Minute Reminders - Part 1 00:19:00 Give Last Minute Reminders - Part 2 00:15:00 Start with an amazing opener Give Your Introduction - Part 1 00:18:00 Give Your Introduction - Part 2 00:20:00 Give Your Introduction - Part 3 00:04:00 Find Out About Them 00:18:00 Reveal the Takeaways 00:13:00 Set Boundaries and Expectations - Part 1 00:18:00 Set Boundaries and Expectations - Part 2 00:06:00 Give the Lesson Hook 00:07:00 Build Credibility and Rapport Qui Do an Oral Review - Part 1 00:17:00 Do an Oral Review - Part 2 00:04:00 Send Them to Break 00:04:00 Walk and Talk During Break 00:11:00 Bring Them Back From Break 00:13:00 Assignment Assignment - Train The Trainer-Course 00:00:00