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With this 2-in-1 course, you will get access to AWS Technical Essentials and AWS Certified Solutions Architect - Associate certification exam content.

Learn new Android APIs such as RoomDatabase, ML Kit for face recognition, Cloud Firestore, Firebase, Maps, and the Android Studio IDE (integrated development environment)

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Security Management Diploma - CPD Accredited Course In today’s world, securing people, property and information isn’t just a role—it’s a necessity. From office buildings to online networks, the demand for knowledgeable individuals in security management continues to grow. This CPD Accredited Security Management Diploma gives you the confidence to understand modern risks, assess threats, and manage situations with clarity. Whether it’s about preventing losses, managing people, or preparing emergency plans, this course is tailored to guide you through essential strategies with ease. If you’ve got an interest in protection, planning and leadership, this is where theory meets real responsibility—without needing to leave your desk. With security concerns shifting rapidly, employers look for those who stay ahead of threats and think smart. This course covers key areas including risk assessment, surveillance basics, access control, emergency procedures, and conflict management. It’s serious knowledge, served in a structured and accessible way—no jargon, no fluff. Learn it all online, at your own pace, and gain insights that are relevant across industries from retail and logistics to corporate offices and public services. Course Curriculum: Module 01: Introduction to Security Management Module 02: Organisational Security Management Module 03: Security Risk Analysis and Risk Reduction Module 04: Physical and Information Security Protection Module 05: Business Resilience and Crisis Management Module 06: Cyber Security and Fraud Prevention Module 07: Security Investigations and Threat Awareness Module 08: Laws and Regulations Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Security Management Diploma - CPD Accredited course, you will qualify for the CPD Quality Standards certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality StandardsService Who is this course for? The Security Management Diploma - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Security Management Diploma - CPD Accredited training.

Discover the joy of cultivating your own fresh produce with our Kitchen Gardening CPD Accredited Course. This course guides you through everything needed to create a flourishing garden, from the initial planning stages to the careful harvesting and storage of your crops. Whether you have a small balcony or a backyard, you’ll gain valuable insights into selecting the right vegetables and crops suited to your space and climate. Learn how to prepare your soil thoughtfully and establish healthy garden beds that promote strong growth and bountiful yields. With a focus on eco-friendly methods, this course also covers sustainable pest management techniques, helping you nurture your garden in harmony with nature. Throughout the modules, you’ll uncover best practices for maintaining your garden, ensuring it remains productive and vibrant across seasons. Designed for gardeners of all levels, this course offers a balanced mix of theory and practical advice, making it simple to bring your gardening ambitions to life from the comfort of home. Grow your knowledge and enjoy the satisfaction of fresh, homegrown produce all year round. Course Curriculum: Module 01: Introduction to Kitchen Gardening Module 02: Planning for Kitchen Gardening Module 03: Choosing Vegetables for Your Garden Module 04: Choosing Crops for Your Garden Module 05: Preparing Your Soil with Care Module 06: Preparing the Bed and Planting Your Crops Module 07: Maintaining your Garden and Best Practices Module 08: Practicing Eco-Friendly Pest Management Module 09: Harvesting Your Crops and Storing Safely Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Kitchen Gardening - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Kitchen Gardening - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Kitchen Gardening - CPD Accredited training.

Forests shape the environment, support biodiversity, and play a vital role in regulating the planet’s ecosystems. This CPD Accredited Forestry course offers a structured exploration of forestry fundamentals, from soil and ecosystem dynamics to silviculture and timber harvesting. Whether you're looking to broaden your understanding of forest management or delve into sustainable woodlands and urban forestry, this course presents a clear, accessible route through key topics essential to the discipline. Covering everything from forest surveying techniques to forest mensuration and urban forestry, the course brings the science and structure of forestry into focus. It’s designed to suit learners aiming to develop a firm grasp of ecological systems, forest conservation methods, and sustainable resource planning. With carefully arranged modules, this online programme supports self-paced learning while maintaining high standards of academic insight, making it ideal for anyone interested in environmental management, land use planning, or forestry science. Course Curriculum: Module 01: Introduction to Forestry Module 02: Forest Soil Module 03: Forest Menstruation Module 04: Forest Surveying Module 05: Silviculture Module 06: Forest Ecosystem Module 07: Timber Harvesting (Part One) Module 08: Timber Harvesting (Part Two) Module 09: Urban Forestry Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Forestry - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Forestry - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Forestry - CPD Accredited training.

Maintaining consistent product quality isn’t just good business—it’s a regulatory necessity. This CPD-accredited Good Manufacturing Practice (GMP) course explores the core principles and expectations surrounding manufacturing standards in industries such as food, cosmetics, and pharmaceuticals. From production hygiene to quality control systems, each topic is carefully structured to support learners in understanding the frameworks that help prevent contamination, errors, and inefficiencies. Designed for remote study, this course is ideal for professionals looking to broaden their awareness of industry protocols without stepping outside their daily routine. Whether you’re involved in production, quality assurance, or packaging, you’ll gain clarity on standard operating procedures, audit readiness, and documentation essentials. Study at your own pace, sharpen your understanding, and stay aligned with industry expectations—right from your screen. Course Curriculum: Module 01: Basic Concept of GMP and Safety Regulations Module 02: Good and Bad Manufacturing Practice Module 03: Preventing and Controlling Contamination Module 04: Maintenance and Hygiene Module 05: GMP for Pharmaceutical Industry Module 06: GMP for Food Industry Module 07: GMP for Cosmetics Industry Module 08: IT Applications on GMP Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? The Good Manufacturing Practice (GMP) - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Good Manufacturing Practice (GMP) - CPD Accredited training.

This Firefighter Training course offers an essential foundation for anyone keen to understand the vital aspects of fire safety and emergency response. Designed to provide clear and thorough knowledge, the course covers key topics including fire safety legislation, fire risk assessment, and the effective use of fire extinguishers. Each module is crafted to guide learners through the crucial principles that underpin fire safety in a variety of settings, ensuring a solid grasp of how to recognise fire hazards and respond appropriately. Beyond theoretical understanding, the course includes detailed instruction on evacuation procedures and emergency first aid, equipping learners with the information necessary to act confidently during fire-related incidents. Ideal for those seeking to enhance their awareness and readiness in fire safety matters, this CPD accredited programme is delivered entirely online, making it accessible and flexible for individuals aiming to broaden their knowledge without the constraints of physical attendance. Course Curriculum: Module 01: Introduction to Firefighter Module 02: Fire Safety Legislation Module 03: Understanding Fire Module 04: Fire Risk Assessment Module 05: Fire Safety Arrangements Module 06: Evacuation & Safety Module 07: Fire Extinguishers Module 08: Emergency First Aid at Work Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Firefighter Training - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Firefighter Training - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Firefighter Training - CPD Accredited training.

Dive into the dynamic field of international relations with this expertly designed online course, ideal for anyone keen to understand global affairs from multiple perspectives. This course explores the foundations of international relations, tracing historical developments and highlighting the key actors shaping today’s political landscape. Through a structured curriculum, learners will engage with essential theories such as realism, liberalism, and critical approaches including Marxist, constructivist, and feminist perspectives. The course also examines the intricate relationship between politics and economics on a global scale, alongside pressing contemporary issues that influence diplomatic interactions worldwide. Beyond theory, this course analyses the causes and consequences of conflict, exploring the complexities of war and peace, as well as the critical roles played by international organisations. Delivered entirely online, it offers a flexible learning journey, accessible to all with an interest in politics, global policy, or international affairs. Whether for personal enrichment or professional development, this CPD accredited course provides the knowledge needed to confidently navigate and interpret the forces shaping global relations today. Course Curriculum: Module 01: Understanding International Relations Module 02: Historical Context Module 03: Actors in International Relations Module 04: Theories in International Relations I: Realism and Liberalism Module 05: Theories in International Relations II: The Marxist, The Constructivist and The Feminist Tradition Module 06: International Political Economy Module 07: Recent Issues in International Relations Module 08: War Module 09: International Organisation Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this International Relations - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The International Relations - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our International Relations - CPD Accredited training.

Navigating stakeholder relationships isn’t just a matter of communication—it’s an art form rooted in clarity, consistency, and a sharp understanding of interests that drive decision-making. This CPD Accredited Stakeholder Management course is tailored to help learners appreciate the nuances of stakeholder dynamics and develop strategies for building constructive, goal-aligned relationships. Whether you're coordinating a project, managing a team, or shaping policy, understanding stakeholders is vital to moving things forward smoothly and efficiently. Through structured modules and expert-led resources, learners are guided to explore stakeholder identification, influence mapping, conflict resolution strategies, and decision engagement—all delivered in a way that fits around modern digital lifestyles. No classrooms, no commutes—just straightforward, accessible learning designed for people who are serious about improving communication, alignment, and outcomes in their projects or organisations. Course Curriculum: Module 01: Introducing Stakeholder Management Module 02: Stakeholder Theories Module 03: Stakeholder Mapping Module 04: Building Strong Business Relationships With Stakeholders Module 05: Stakeholder Engagement Module 06: Stakeholder Engagement Through Effective Communication Module 07: Monitoring and Evaluating the Engagement Module 08: Managing Stakeholder Conflict Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? The Stakeholder Management - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Stakeholder Management - CPD Accredited training.