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  Delivered in either our Live Online format (4 days) or in our Classroom (5 days), the ISO 37001 Lead Auditor training course enables you to develop the necessary expertise to perform an Anti-bribery Management System (ABMS) 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 and audit team.    After acquiring the necessary expertise to perform this audit, you can sit for the exam and gain the "Certified ISO 37001 Lead Auditor' credential. 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 operation of an Anti-bribery Management System based on ISO 37001 and its principal processes Understand the correlation between ISO 37001 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 Interpret the requirements of ISO 37001 in the context of an ABMS audit Strengthen the personal skills necessary for an auditor to act with due professional care during an audit   Educational approach   Lecture sessions are illustrated with practical questions and examples Practical exercises include examples and discussions Practice tests are similar to the certification exam Prerequisites   A foundational understanding of ISO 37001 and knowledge of audit principles. What's Included?   Refreshments & Lunch (Classroom only) Course Slide Deck Official Study Guides CPD Certificate The Exam Who Should Attend?   Auditors seeking to perform and lead Anti-bribery Management System (ABMS) certification audits Managers or consultants seeking to master an Anti-bribery Management System audit process Individuals responsible for maintaining conformance with ISO 37001 requirements Technical experts seeking to prepare for an Anti-bribery Management System audit Expert advisors in Anti-bribery Management Accreditation Assessment   The exam is delivered in a 12 question essay format, to be completed within 150 minutes and gaining a 70% pass mark. Exam results are provided within 24 hours. Provided by   This course is Accredited by NACS and Administered by the IECB.

  After mastering all the necessary concepts of Disaster Recovery processes, you can sit for the exam and gain the "Certified Lead Disaster Recovery Manager' credential. By holding this Certificate, you will be able to demonstrate that you have the practical knowledge and professional capabilities to support and lead Disaster Recovery teams in implementing Disaster Recovery strategies based on best practices.  About This Course   Learning objectives   Acknowledge the correlation between Disaster Recovery, Business Continuity Management, Information Security and other IT areas and frameworks Master the concepts, approaches, methods and techniques used for the implementation and effective management of a Disaster Recovery Plan Learn how to interpret the ICT Disaster Recovery strategies in the specific context of an organization Learn how to support an organization to effectively plan, implement, manage, monitor and maintain DR services based on best practices Acquire the expertise to advise an organization in implementing an effective Disaster Recovery Plan based on best practices   Educational approach   This training is based on both theory and best practices used in the implementation and management of a DR plan 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   Course Content   Day 1: Introduction to Disaster Recovery and initiation of a DR plan Day 2: Risk Mitigation Strategies and Disaster Recovery Planning Day 3: Disaster Recovery facilities, services, recovery sites, response and activation Day 4: DRP testing, monitoring, measurement and continuous improvement; the examination Accreditation Prerequisites   A foundational understanding of Disaster Recovery Services and knowledge of management principles, concepts and strategies. Assessment   The exam for this course consists of 12 essay type questions, to be completed within the 150 minute timeframe and achieving the 70% pass mark. Exam results are provided within 24 hours. What's Included?   Certification fees are included on the exam price Training material containing over 450 pages of information and practical examples will be distributed A participation certificate of 31 CPD (Continuing Professional Development) credits will be issued In case of exam failure, you can retake the exam within 12 months for free Provided by   This course is Accredited by NACS and Administered by the IECB. Who Should Attend?   Information Security Managers Incident Managers Helpdesk Managers Executives with Governance concerns  

  ISO 14001 Lead Implementer training enables you to develop the necessary expertise to support an organization in establishing, implementing, managing and maintaining an Environmental Management System (EMS) based on ISO 14001. About This Course   During this training course, you will also gain a thorough understanding of the best practices of Environmental Management Systems, consequently reducing an organization's negative environmental impacts and improving its overall performance and efficiency. After mastering all the necessary concepts of Environmental Management Systems, you can sit for the exam and gain "Certified ISO 14001 Lead Implementer' Certification. By holding this Certification, you will be able to demonstrate that you have the practical knowledge and professional capabilities to implement ISO 14001 in an organization. Learning objectives   Acknowledge the correlation between ISO 14001, ISO 14040 and other standards and regulatory frameworks Master the concepts, approaches, methods and techniques used for the implementation and effective management of an EMS Learn how to interpret the ISO 14001 requirements in the specific context of an organization Learn how to support an organization to effectively plan, implement, manage, monitor and maintain an EMS Acquire the expertise to advise an organization in implementing Environmental Management System best practices Educational approach   This training is based on both theory and best practices used in the implementation of an EMS 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 understating of ISO 14001 and comprehensive knowledge of implementation principles.  Who Should Attend?   Managers or consultants involved in Environmental Management Expert advisors seeking to master the implementation of an Environmental Management System Individuals responsible for maintaining conformance with EMS requirements EMS team members 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.

An excellent Anti Money Laundering (AML) course is the most effective way to gain a complex understanding of a susceptible subject. AML requires a sophisticated approach to ensure full compliance and avoid punitive legal issues. With detailed instructions, it covers critical concepts like beneficial ownership, suspicious activity reporting, and your customer protocol. This course allows students to learn about the ins and outs of anti-money laundering measures and regulations, making them adept at identifying potential weaknesses that could prove disastrous if ignored. Moreover, participants will learn to identify potential vulnerabilities that could prove catastrophic if ignored. The AML course uses a potent mix of lectures, case studies, and interactive sessions to provide meaningful insights into recognising fraudulent activity. The course will equip you with knowledge and skills in detecting fraudulent financial transactions, identifying potential money laundering risks and preventing money laundering activities. So enrol in the course blindfolded today. What you will discover are the following: Understand the basics of criminal law. Development of anti-money laundering regulations. Learn about the money Laundering process and its effects. Find out what the Money Laundering Reporting Officer is responsible for. Identify how a risk-based strategy would work. Deepen your idea of customer due diligence and record keeping. Recognise suspicious behaviour and transactions. Along with the AML- Anti Money Laundering courses, you also get: Lifetime Access. Unlimited Retake Exam & Tutor Support. Easy Accessibility to the Course Materials- Anytime, Anywhere - From Any Smart Device (Laptop, Tablet, Smartphone Etc.) 100% Learning Satisfaction Guarantee. Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. So, enrol and excel in your career with Compliance Central. Curriculum Breakdown of the Course:- Introduction to Money Laundering Proceeds of Crime Act 2002 Development of Anti-Money Laundering Regulation Responsibility of the Money Laundering Reporting Officer Risk-based Approach Customer Due Diligence Record Keeping Suspicious Conduct and Transactions CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This training is ideal for the following: Working individuals wishing to comprehend the fundamentals of anti-money laundering (AML) Experts want to learn and be able to exhibit their expertise in AML and compliance. Professionals want a deeper understanding of compliance and AML to raise their standards. Early career professionals and students that wish to develop thorough AML and compliance understanding. Everyone who has a sincere interest in compliance, AML, and money laundering. Requirements To enrol in this AML- Anti Money Laundering course, all you need is a basic understanding of the English Language and an internet connection. Career path You can explore popular and in-demand careers associated with this course after completing it. Some job fields you can look into are: Fraud Monitoring Associate. Investigations Specialist. Compliance Investigator. Financial Reporting Analyst. Anti-Money Laundering Analyst. In the UK, these positions usually get an amount of around £30,000 - £40,000 per annum. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Do you need to learn more about workplace management and be an expert in it? If you are searching to learn about management to practice it in your organisation, this course will help you to become a management expert. Description: Anyone who wants to have a successful workplace needs to have proper management skills, especially civility. In this course, you will learn what civility is and what its behavioural indicators are? You will understand the costs of civility and its rewards for your workplace. You will know the proper workplace etiquettes and the basic styles of conflict resolution. Acquire the skills in diagnosing causes of uncivil behaviour and understand the role of forgiveness. Gain the ability to recommend the procedure for systematising civil behaviour suited for your workplace.In this course you will learn the necessary skills, knowledge and information about Workplace Management for your business or organisation to succeed.  Who is the course for? Professionals who are in need of management skills. People who have an interest in knowing workplace management. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Level 2 Certificate in Workplace Management: Civility is a useful qualification to possess, and would be beneficial for the following careers: Businessmen Entrepreneur Executive Director Senior Manager Team Leader. Level 2 Certificate in Workplace Management: Civility Module One - Getting Started 00:30:00 Module Two - Introduction 01:00:00 Module Three - Effective Work Etiquette 01:00:00 Module Four - Costs and Rewards 01:00:00 Module Five - Conflict Resolution 00:30:00 Module Six - Getting to the Cause 01:00:00 Module Seven - Communication 01:00:00 Module Eight - Negotiation 00:30:00 Module Nine - Identifying Your Need 01:00:00 Module Ten - Writing a Civility Policy 01:00:00 Module Eleven - Implementing the Policy 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities Activities 00:00:00 Mock Exam Mock Exam- Level 2 Certificate in Workplace Management: Civility 00:20:00 Final Exam Final Exam- Level 2 Certificate in Workplace Management: Civility 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Explore the dynamic intersection of theory and practice in Disability Studies with our comprehensive course. Gain insights into social and cultural perspectives, examine the global landscape, and delve into health and well-being for people with disabilities. Join us to foster inclusivity, challenge norms, and advocate for a more equitable society. Embrace the diverse dimensions of disability with theoretical depth and practical applications. Enroll now for a transformative learning experience.

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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

Interactive Presentation Skills, Presenting, Presentations, Presentation Skills,