43858 Learning courses in London delivered Online

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

Jump on a transformative journey to tackle workplace challenges head-on. Discover the intricacies of managing absenteeism and tardiness seamlessly. In a world where employee well-being is paramount, equip yourself with invaluable insights. Key Features: CPD Certified Developed by Specialist Lifetime Access Unveil the roots of absenteeism, decoding its impact on organizational dynamics. Explore innovative strategies to foster a culture of accountability and well-being. Navigate the legal landscape and ethical considerations surrounding absenteeism with confidence. From proactive prevention techniques to leveraging cutting-edge technology, master the tools of the trade. In this dynamic course, you'll not only understand the pulse of workplace attendance issues but also cultivate strategies that resonate with the ethos of the modern professional landscape. Course Curriculum Module 01: Introduction to Absenteeism and Tardiness Module 02: Causes of Absenteeism and Tardiness Module 03: Effects of Absenteeism and Tardiness on the Workplace Module 04: Strategies for Managing Absenteeism and Tardiness Module 05: Measurement and Evaluation of Absenteeism and Tardiness Module 06: Legal and Ethical Considerations Module 07: Proactive Strategies for Prevention Module 08: Technology and Tools Module 09: Building a Culture of Accountability and Well-being Learning Outcomes: Identify root causes impacting workplace attendance. Analyse the effects of absenteeism and tardiness on organizational productivity. Formulate strategies to proactively manage attendance challenges in the workplace. Evaluate the legal and ethical dimensions related to absenteeism and tardiness. Implement technology-driven tools for effective attendance management. Foster a culture of accountability and employee well-being within your organization. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? HR Professionals seeking advanced workforce management skills. Managers aiming to enhance team productivity and well-being. Small business owners navigating attendance challenges. Legal professionals handling workplace-related issues. Tech enthusiasts interested in leveraging tools for attendance management. Career path HR Manager Workplace Well-being Consultant Employment Law Advisor Organizational Development Specialist Attendance Technology Analyst Small Business Owner/Manager Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

In today's fast-paced recruitment landscape, understanding IT terminology and digital tools is no longer optional—it's essential. The IT Training for Recruiters Course is designed to bridge the gap between recruitment expertise and technology awareness, ensuring recruiters speak the same language as hiring managers and candidates in the tech sector. This course unpacks key IT concepts, from software development cycles to common tech jargon, making your conversations sharper and more confident. Whether you're sourcing candidates for startups or established IT firms, this training equips you with the knowledge to navigate technical job descriptions and requirements with ease. This course suits recruiters eager to sharpen their IT literacy and improve their candidate selection process through better understanding of technical roles. With a focus on clarity and relevance, it ensures recruiters can confidently assess CVs, conduct informed interviews, and communicate effectively with stakeholders. Delivered entirely online, the content is structured to fit around busy schedules, allowing learning at your own pace without compromising on depth or quality. Prepare to upgrade your recruitment approach with an IT training course that speaks directly to the challenges of hiring in technology today. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Introduction Introduction IT Fundamentals What is hardware and software Server Project Life cycle Software Development Life Cycle IT Terms Basics Methodologies CMS API CI/CD Stacks Native and Hybrid Native Apps IT Positions CTO IT Architect Product Owner Project Manager Product Manager PO vs PM vs Product Manager PO vs Product Manager Business Analyst Business Intelligence Specialist Data Engineer Data Scientist Data Engineer vs Data Scientist Agile Coach Scrum Master Agile Coach vs Scrum Master Frontend Developer Backend Developer Fullstack Developer Frontend vs Backend vs Fullstack Developer iOS Developer Android Developer UX Designer UI Designer UX vs UI Designer QA Engineer_Tester SysAdmin DevOps SEO IT Technologies. Programming Languages and Frameworks Programming languages and frameworks. Intro Programming languages and frameworks Java JavaScript Python C C++ C# HTML PHP SWIFT Objective-C Ruby SQL Go (Golang) Databases Database Types of Databases From Recruiter to Recruiter The day of an IT Recruiter Key principles Sourcing Tipps Good Bye Video Good Bye Video Exam and Assessment MCQ based test 60% Marks to pass Instant Assessment and Feedback Certification CPD Certified PDF and Hardcopy Certificate Level 5 QLS Endorsed Hardcopy Certificate for Diploma in IT For Recruiters at QLS Level 5 CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT For Recruiters course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This IT For Recruiters course is open to all, with no formal entry requirements. Career path Upon successful completion of the IT For Recruiters Course, learners will be equipped with many indispensable skills and have the opportunity to grab. Certificates Certificate of completion Digital certificate - £9 Certificate of completion Hard copy certificate - £109 QLS Endorsed Certificate Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying - Within the UK: £109 International: £109 + £10 (postal charge) = £119 CPD Certification Service Accredited Certification Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25

Overview If you want to establish a bond with your deaf family members or friends or want to help the deaf community, then the Deaf Awareness Training course is ideal for you. Through this course, you will gain in-depth knowledge and be able to create awareness about the challenges faced by deaf people.  Our exclusive training program aims to introduce you to the vital areas of deaf awareness. Through this course, you will learn about the deaf community and culture. Then the course will teach you the causes of hearing problems. In addition, the modules will include lectures on deaf education and the fundamentals of BSL. After completing the course, you will acquire the confidence and competence to communicate with deaf people effectively.  When you complete the course, you will receive a certificate of achievement. This certificate will elevate your CV and help you land a promising job in the relevant sector. Join now! Learning Outcomes Familiarise yourself with the deaf community and culture Learn about the causes of auditory problems in human Grasp an overall understanding of deaf education Develop your skills and knowledge in British Sign Language Understand how to establish effective communication with the deaf community Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted, engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email. What Skills will You Learn from This Course? Deaf Communication BSL Awareness Building Who Should Take This Deaf Awareness Training? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Deaf Awareness Training is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Deaf Awareness Training Certification After completing and passing the Deaf Awareness Training successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path This exclusive Deaf Awareness Training course will equip you with effective skills and abilities and help you explore career paths such as  SEN Teacher Social Worker Health Care Worker Deaf Awareness Training Module 01: Introduction to Deaf Awareness 00:24:00 Module 02: Deaf Community and Culture 00:22:00 Module 03: Causes of Being Deaf and Auditory Innovations 00:23:00 Module 04: Deaf Education 00:22:00 Module 05: British Sign Language 00:19:00 Module 06: BSL in Its Social Context 00:20:00 Module 07: Social Interaction between Deaf and Hearing People 00:17:00 Order Your Certificate and transcript Order Your Certificates and Transcripts 00:00:00

  ISO 45001 is the first global Occupational Health and Safety Management System standard that replaces OHSAS 18001. The ISO 45001 Lead Auditor training enables you to develop the necessary expertise to perform an Occupational Health and Safety Management System (OH&S MS) audit by applying widely recognized audit principles, procedures and techniques.  About This Course   During this training course, you will acquire the knowledge and skills to plan and carry out internal and external audits in compliance with ISO 19011 and ISO/IEC 17021-1 certification process.    Based on practical exercises, you will be able to master the audit techniques and become competent to manage an audit program, audit team, communication with customers, and conflict resolution.   After acquiring the necessary expertise to perform this audit, you can sit for the exam and gain the 'IECB Certified ISO 45001 Lead Auditor' credential. By holding an IECB Certificate, you will demonstrate that you have the capabilities and competencies to audit organizations based on best practices.   Learning objectives   Understand the operations of an Occupational Health and Safety Management System (OH&S MS) based on ISO 45001 Acknowledge the correlation between ISO 45001 and other standards and regulatory frameworks Understand the auditor's role in planning, leading and following-up on a management system audit in accordance with ISO 19011 Learn how to interpret the requirements of ISO 45001 in the context of an OH&S MS audit   Educational approach   This training is based on both theory and best practices used in OH&S MS audits Lecture sessions are illustrated with practical questions and examples Practical exercises include examples and case study discussions Practice tests are similar to the Certification Exam Prerequisites   A foundational understanding of ISO 45001 and knowledge of audit principles.  What's Included?   Refreshments & Lunch* Course Slide Deck Official Study Guides Official Exam Q&A The Exam   * Classroom based courses only   Who Should Attend?   Auditors seeking to perform and lead Occupational Health and Safety Management System (OH&S MS) certification audits Managers or consultants seeking to master an Occupational Health and Safety Management System audit process Individuals responsible for maintaining conformance with OH&S MS requirements Technical experts seeking to prepare for an Occupational Health and Safety Management System audit Expert advisors in Occupational Health and Safety Management Accreditation Assessment   Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final 12 question essay type exam on Day 4 of the course. The overall passing score is 70%, to be achieved within the 150 minute time allowance. Exam results are provided within 24 hours.   Provided by   This course is Accredited by NACS and Administered by the IECB.

  ISO 14001 Lead Auditor training enables you to develop the necessary expertise to perform an Environmental Management System (EMS) audit by applying widely recognized audit principles, procedures and techniques. About This Course   During this training course, you will acquire the knowledge and skills to plan and carry out internal and external audits in compliance with ISO 19011 and ISO/IEC 17021-1 certification process. Based on practical exercises, you will be able to master audit techniques and become competent to manage an audit program, audit team, communication with customers, and conflict resolution. After acquiring the necessary expertise to perform this audit, you can sit for the exam and gain "Certified ISO 14001 Lead Auditor' Certificate. By holding this Certificate, you will demonstrate that you have the capabilities and competencies to audit organizations based on best practices.    Learning objectives   Understand the operations of an Environmental Management System (EMS) based on ISO 14001 Acknowledge the correlation between ISO 14001, ISO 14040 and other standards and regulatory frameworks Understand an auditor's role to: plan, lead and follow-up on a management system audit in accordance with ISO 19011 Learn how to lead an audit and audit team Learn how to interpret the requirements of ISO 14001 in the context of an EMS audit Acquire the competencies of an auditor to: plan an audit, lead an audit, draft reports, and follow-up on an audit in compliance with ISO 19011   Educational approach   This training is based on both theory and best practices used in EMS audits Lecture sessions are illustrated with examples based on case studies Practical exercises are based on a case study which includes role playing and discussions Practice tests are similar to the Certification Exam Prerequisites   A fundamental understanding of ISO 14001 and comprehensive knowledge of audit principles.  Who Should Attend?   Auditors seeking to perform and lead Environmental Management System (EMS) certification audits Managers or consultants seeking to master an Environmental Management System audit process Individuals responsible for maintaining conformance with EMS requirements Technical experts seeking to prepare for an Environmental Management System audit Expert advisors in Environmental Management What's Included?   Refreshments & Lunch (Classroom courses only) Course Slide Deck Official Study Guides CPD Certificate The Exam   Accreditation Assessment     Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final 12 question, essay type exam on Day 4 of the course. The overall passing score is 70%, to be achieved within the 150 minute time allowance. Exam results are provided within 24 hours, with both a Certificate and a digital badge provided as proof of success. Provided by   This course is Accredited by NACS and Administered by the IECB

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Organisational development, Organisational culture, Organisational values, Organisational environment,

Empower yourself with comprehensive Disability Awareness and Inclusion Training. Explore legal compliance, effective communication strategies, recruitment tactics, and more. Learn to create inclusive workplaces and champion diversity. Join us to promote equality and advocate for disability rights.

Project Management Fundamentals: Virtual In-House Training Many projects are performed by highly competent and effective people who have little or no project management training. They perform projects like process improvement, marketing campaign development, new product development, event planning and production, and other 'tasks' which are projects. Project Management Fundamentals (PMF) is designed to support those people who need a solid foundation in project management, without being unnecessarily burdened to learn it while on the job. The course offers practical skills, concepts, and principles that can be taken back to the workplace, along with insights needed to adapt them to specific project environments. In today's environment, that means possibly adapting to Agile / Iterative methods. So, we have recently added key Agile concepts to provide a basic understanding of shifting towards agility. Since PMF's course goal is to achieve quality performance by learning effective planning and control, the focus is on a process orientation and an analytical, systems-oriented approach. Together, these frameworks promote project-related problem solving and decision-making skills necessary for real world projects. They honor project needs for collaboration, clear communications among people, and interpersonal and relationship skills. Recognition of these needs are woven throughout PMF, but are highlighted in two specific areas: Module 2 - People and Projects Module 8 - Executing, Communicating, and Developing the Team