341 Courses in Cardiff delivered Live Online

Internal Audit Skills Diploma Course Overview The "Internal Audit Skills Diploma" offers an in-depth exploration of internal audit processes and procedures, providing essential knowledge for individuals seeking to excel in auditing roles. The course covers auditing as a form of assurance, the technology used in audits, internal control, risk management, and UK-specific audit standards. Upon completion, learners will have a solid understanding of internal audit processes, report generation, and the skills necessary to pursue a career as an auditor. Course Description This comprehensive diploma course equips learners with the key skills required for a successful career in internal auditing. Topics include auditing as a form of assurance, internal audit procedures, the integration of technology in audits, and methods for evaluating internal controls and risk. In addition, the course explores how to conduct audit interviews, report findings, and understand UK internal audit standards. Learners will also gain insights into the various career paths within auditing, making this course valuable for those looking to enter or advance in the industry. Internal Audit Skills Diploma Curriculum Module 01: Auditing as a Form of Assurance Module 02: Internal Audit Procedures Module 03: Technology-based Internal Audit Module 04: Internal Control and Control Risk Module 05: Audit Interviews Module 06: Reporting Audit Outcome Module 07: UK Internal Audit Standards Module 08: Career as an Auditor (See full curriculum) Who is this course for? Individuals seeking to enter the field of internal auditing. Professionals aiming to enhance their audit knowledge and career development. Beginners with an interest in auditing or risk management. Those pursuing a career in compliance, risk, or financial sectors. Career Path Internal Auditor Risk and Compliance Officer Audit Manager Financial Auditor Internal Controls Specialist Business Consultant

Working from Home Essentials Course Overview: "Working from Home Essentials" provides learners with the knowledge and skills to excel in a home-based work environment. This course explores the tools, techniques, and strategies necessary for efficient and effective remote work. From understanding essential online meeting tools to mastering project management and communication software, learners will gain a comprehensive understanding of what it takes to succeed in a virtual workplace. The course highlights key tools for maintaining productivity, staying organised, and fostering clear communication, ensuring that learners are well-equipped to thrive in a remote role. Course Description: This course dives deep into the core elements of working from home, equipping learners with the knowledge to use a variety of tools designed to enhance productivity and collaboration. Topics include navigating online meeting platforms, utilising project management tools, and improving communication through digital mediums. Learners will understand how to plan and manage tasks remotely, effectively lead virtual teams, and ensure clear communication channels. By the end of the course, learners will have a thorough grasp of the software and strategies essential for remote work success, making them highly adaptable to modern work settings. Working from Home Essentials Curriculum: Module 01: Introduction to Work from Home Module 02: Online Meeting Tools Module 03: Project Management Tools Module 04: Project Planning Tools Module 05: Communication Tools (See full curriculum) Who is this course for? Individuals seeking to improve their remote work skills. Professionals aiming to enhance their efficiency in virtual environments. Beginners with an interest in learning the basics of remote work tools. Those looking to transition to or improve their work-from-home experience. Career Path Virtual Assistant Remote Project Manager Digital Marketing Specialist Customer Support Representative (Remote) Online Content Creator Remote Team Coordinator

Recruiting Talent and Termination Procedure Course Overview: This comprehensive course on "Recruiting Talent and Termination Procedure" provides an in-depth understanding of the recruitment process, effective interviewing methods, and employee termination procedures. Learners will explore a wide range of topics, from creating effective recruitment strategies to managing employee terminations in a legal and ethical manner. The course offers practical value by equipping learners with the necessary knowledge and skills to excel in HR roles and manage critical HR processes. On completion, learners will be prepared to contribute effectively to recruitment and employee management within an organisation. Course Description: This course covers the entire recruitment lifecycle, including the development of recruitment models, selection methods, and the nuances of human resource management. Key topics include virtual interviewing techniques, employee on-boarding strategies, and the legal and procedural aspects of employee termination. Through a structured learning experience, learners will develop skills in recruitment planning, interview preparation, and managing the complexities of terminating employment. With a focus on the latest HR practices, the course ensures learners are prepared to handle recruitment and termination tasks with professionalism and confidence. Recruiting Talent and Termination Procedure Curriculum: Module 01: Introduction to Recruitment Process Model Module 02: Recruitment Methods Module 03: Human Resource Management Module 04: Key Skills and Issues in Recruitment Function Module 05: Virtual Interviewing Module 06: Employee On-Boarding Module 07: Introduction to The Employee Termination Module 08: The Employee Termination Procedure Module 09: Employee Termination Letter and Guide (See full curriculum) Who is this course for? Individuals seeking to enhance their understanding of recruitment and employee management. Professionals aiming to advance their career in HR or recruitment. Beginners with an interest in human resource management. HR practitioners seeking to update their skills in recruitment and termination processes. Career Path: HR Manager Recruitment Consultant Talent Acquisition Specialist Employee Relations Officer HR Coordinator HR Director

GRE Preparation - Verbal and Analytical Writing Course Overview: This course is designed to help learners prepare effectively for the GRE Verbal and Analytical Writing sections. Focusing on the key skills required for success in these areas, it equips learners with proven strategies to excel. By covering all aspects of verbal reasoning, reading comprehension, text completions, sentence equivalence, and analytical writing, the course provides in-depth preparation that leads to improved performance. Learners will develop their ability to analyse complex texts, improve their vocabulary, and refine their writing skills, essential for achieving a competitive GRE score. Course Description: The GRE Preparation - Verbal and Analytical Writing course provides comprehensive coverage of the verbal reasoning and writing sections of the GRE. It includes lessons on reading comprehension, the six critical question types, pivotal words, sentence structure, and writing techniques. The course utilises a variety of methods to strengthen analytical thinking, reading skills, and writing proficiency. Learners will acquire the tools to tackle both the Verbal and Analytical Writing sections effectively. Through structured content and engaging exercises, this course builds confidence and prepares individuals for the GRE with focused skill-building and practice. GRE Preparation - Verbal and Analytical Writing Curriculum: Module 01: Verbal Section – Orientation Module 02: Reading Comprehension Introduction Module 03: The Six Questions Module 04: Pivotal Words Module 05: The Three-Step Method Module 06: Text Completions Module 07: Sentence Equivalence Module 08: Writing (See full curriculum) Who is this course for? Individuals seeking to enhance their GRE score Professionals aiming to pursue graduate studies Beginners with an interest in GRE preparation Anyone looking to strengthen their verbal and writing skills for graduate-level tests Career Path Graduate school applicants Research assistants Academic advisors Educational consultants Policy analysts

Course Overview: This comprehensive course on Coaching & Mentoring is designed to provide learners with the essential skills and knowledge required to excel in guiding and developing individuals. Covering the core principles of coaching and mentoring, the course explores key processes, ethical considerations, and effective communication techniques. By the end of the course, learners will be equipped with the expertise to support others in achieving personal and professional growth. The course is suitable for professionals looking to enhance their leadership abilities and individuals seeking to make a positive impact through coaching and mentoring. Course Description: The Coaching & Mentoring course delves into the fundamental aspects of coaching and mentoring, including setting objectives, managing the coaching process, and understanding ethical responsibilities. Topics such as coaching and mentoring models, communication skills, and personal development are explored in detail. Learners will acquire a thorough understanding of the skills needed to guide individuals effectively, fostering growth in both personal and professional contexts. This course ensures learners develop a well-rounded approach to coaching and mentoring, preparing them for success in a variety of roles and industries. Course Modules: Module 01: Introduction to Coaching and Mentoring Module 02: Coaching and Mentoring: Objectives & Processes Module 03: Ethical Aspects of Coaching and Mentoring Module 04: Coaching and Mentoring Models Module 05: Effective Communication Skills Module 06: Personal Skills Module 07: Management Skills Module 08: Functional Skills (See full curriculum) Who is this course for? Individuals seeking to enhance their coaching and mentoring skills. Professionals aiming to develop their leadership and team management capabilities. Beginners with an interest in coaching, mentoring, and personal development. Anyone looking to contribute to the growth and success of others in a professional setting. Career Path: Coaching Specialist Mentoring Consultant Leadership Development Coach HR Professional with coaching expertise Team Leader or Manager with a focus on employee growth

Transcription Level 3 Course Overview The Transcription Level 3 course is designed to provide learners with the advanced skills needed for professional transcription. This course offers an in-depth exploration of transcription techniques, focusing on accuracy, speed, and industry-specific terminology. Learners will gain a comprehensive understanding of various transcription methods, including medical, legal, and general transcription, with an emphasis on formatting and industry standards. By completing this course, learners will be equipped to excel in a range of transcription tasks, ensuring high-quality outputs for diverse sectors. Upon completion, learners will be able to transcribe various content types efficiently, making them highly valuable in the transcription industry. Course Description This Transcription Level 3 course covers the advanced aspects of transcription, starting with detailed lessons on formatting, accuracy, and professional transcription practices. Learners will be introduced to different types of transcription, such as medical, legal, and business, while developing a keen attention to detail and speed. The course is structured to provide learners with an understanding of transcription tools, techniques, and best practices, helping them to refine their skills for industry standards. Throughout the course, learners will engage with comprehensive training materials, exercises, and assessments designed to enhance their transcription abilities. By the end of the course, learners will have developed the expertise required to work as a transcriptionist in various professional settings, ensuring they meet the high demands of employers. Transcription Level 3 Curriculum Module 01: Transcription Level 3 (See full curriculum) Who is this course for? Individuals seeking to develop advanced transcription skills Professionals aiming to specialise in legal, medical, or general transcription Beginners with an interest in transcription or office administration Those looking to enter the transcription industry or freelance market Career Path Medical Transcriptionist Legal Transcriptionist General Transcriptionist Freelance Transcriptionist Virtual Assistant Court Reporter Audio Typist

Complete Fitness Trainer Certification: Beginner To Advanced Course Overview: The "Complete Fitness Trainer Certification: Beginner To Advanced" is a comprehensive course designed to equip learners with the knowledge and skills needed to excel in the fitness industry. Covering a broad range of topics from basic anatomy to advanced training techniques, this course prepares you for a successful career in fitness training. By completing the course, you will gain expertise in assessing clients, designing personalised fitness plans, and delivering effective exercise programmes. Whether you're a beginner or looking to enhance your skills, this certification is a valuable asset for anyone pursuing a career in fitness. Course Description: This course covers a wide array of topics to ensure learners gain a complete understanding of fitness training. Modules include in-depth lessons on human anatomy, client assessment, resistance training, cardio and endurance techniques, flexibility, and more. Learners will also access detailed exercise instruction videos, which reinforce the concepts taught throughout the course. By the end of the programme, learners will be confident in designing and delivering fitness plans tailored to individual needs, enabling them to support clients in achieving their fitness goals. This certification also highlights the importance of understanding the body’s mechanics to ensure safe and effective exercise. Complete Fitness Trainer Certification: Beginner To Advanced Curriculum: Module 01: Introduction Module 02: Anatomy Module 03: Client Assessment Module 04: Resistance Training Module 05: Exercise Instruction Videos Module 06: Cardio & Endurance Training Module 07: Flexibility (See full curriculum) Who is this course for? Individuals seeking to become certified fitness trainers. Professionals aiming to enhance their skills in fitness and wellness. Beginners with an interest in the fitness industry. Anyone passionate about pursuing a career in health and fitness. Career Path Personal Trainer Fitness Coach Health and Wellness Consultant Group Fitness Instructor Sports Trainer

Interview Skills: Ace the Interview Course Overview: "Interview Skills: Ace the Interview" is a comprehensive course designed to equip learners with essential strategies and techniques to excel in job interviews. Through this course, learners will gain a deeper understanding of interview dynamics, including how to present themselves confidently, handle common and challenging questions, and leave a positive impression on potential employers. The course is tailored to provide clear, actionable advice that can be applied to interviews across various industries. Whether you are preparing for your first job interview or looking to refine your skills, this course offers valuable insights to ensure you stand out in the competitive job market. Course Description: This course covers key areas of interview preparation, including how to craft a compelling self-presentation, research the company, and effectively answer both standard and tough questions. Learners will explore strategies for handling behavioural questions, demonstrating relevant skills, and creating lasting positive impressions. Each module is designed to progressively build knowledge, offering practical approaches to navigating interviews with confidence. The course also addresses the critical aspect of salary negotiations and provides insights on how to respond to sensitive questions. By the end of the course, learners will have honed their interview skills and be well-prepared for success in their job search. Interview Skills: Ace the Interview Curriculum: Module 01: Introduction Module 02: The Warm Up Module 03: The Core Module 04: Let’s Talk About Money Module 05: General Instructions (See full curriculum) Who is this course for? Individuals seeking to improve their job interview performance. Professionals aiming to advance their career through better interview techniques. Beginners with an interest in understanding the interview process. Anyone looking to refine their approach to job interviews. Career Path: Job Seekers Recruitment Coordinators Career Coaches HR Assistants Interview Preparation Consultants

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

PMI Agile Certified Practitioner (PMI-ACP)® Exam Preparation Course Course Overview The PMI Agile Certified Practitioner (PMI-ACP)® Exam Preparation Course is designed to provide learners with the essential knowledge and tools to successfully prepare for the PMI-ACP® exam. This course focuses on the core concepts of agile methodologies, including Scrum, Kanban, Lean, and XP. Learners will engage with real-world scenarios and case studies to deepen their understanding of agile practices and principles. By completing this course, learners will develop the competencies required to become agile practitioners, improve project delivery, and excel in the PMI-ACP® certification exam. Course Description This course is specifically tailored to help learners grasp agile project management principles and pass the PMI-ACP® exam. It covers a wide range of topics, including agile frameworks, value-driven delivery, stakeholder engagement, adaptive planning, and continuous improvement. Learners will explore various agile approaches, methodologies, and tools, with a strong focus on team collaboration and delivering high-quality results. The course includes interactive lessons, quizzes, and self-assessment opportunities, ensuring a thorough understanding of the subject. Upon completion, learners will gain the confidence and expertise necessary to apply agile practices and pass the PMI-ACP® exam, enhancing their professional credentials in the field of agile project management. PMI Agile Certified Practitioner (PMI-ACP)® Exam Preparation Course Curriculum Module 01: Module 02: Module 03: Module 04: Module 05: Module 06: Module 07: Module 08: Module 09: (See full curriculum) Who is this course for? Individuals seeking to pass the PMI-ACP® exam and gain certification. Professionals aiming to advance their career in agile project management. Beginners with an interest in learning agile practices and methodologies. Project managers and team leaders seeking to enhance their agile knowledge. Career Path Agile Project Manager Scrum Master Agile Coach Project Management Consultant Agile Team Leader PMI-ACP® Certified Practitioner