The IECB Certified Data Protection Officer training course will help you acquire the knowledge and skills to serve as a Data Protection Officer (DPO), allowing you to help organizations understand and implement solutions that meet the compliance requirements of the General Data Protection Regulation (GDPR), as well as a number of other regulatory requirements. The course takes a practical look at the GDPR requirements and advises on the mapping of solutions. In this way, delegates can master the role of the DPO and become competent to inform, advise, and monitor compliance with the GDPR and cooperate with the supervisory authority. About This Course After attending the training course, you can sit for the exam, and gain the 'Certified Data Protection Officer' credential, which validates that you have the Legal and regulatory knowledge required of a key adviser and practical knowledge to advise organisations how to meet their obligations regarding the GDPR compliance Learning Outcomes; Acquire a thorough understanding of the basic concepts and components of global Data Protection Regulation(s) Understand the correlation between the General Data Protection Regulation and best practice standards such as ISO 27701 Acquire a thorough understanding of the data protection by design requirements, particularly in relation to the protection of data Interpret the data protection requirements within the context of an organization Understand how to support an organization to plan, implement, manage, monitor and maintain ongoing compliance to the GDPR Our approach This training course is based on the practical application of best practices used in exercising the role of the DPO. Course modules include practical examples of the role of DPO. Delegates are encouraged to engage in discussions and exercises. A Case Study which brings the materials to life. Course agenda Day 1: Introduction to the GDPR Principles Day 2: The role of the DPO in the determination of a GDPR compliance program Day 3: The role of the DPO in business operations Day 4: Monitoring and maintenance of the GDPR compliance programme, as well as the examination Prerequisites A basic understanding of the GDPR will benefit course delegates. What's Included? Refreshments & Lunch (Classroom only) Course Slide Deck Official Study Materials CPD Certificate The Exam fees Who Should Attend? Individuals seeking to move into the role of DPO Team members who define, implement, and maintain a GDPR compliance programme Information Security Managers responsible for the personal data protection of an enterprise and the management of its risks Members of an information security, risk management, or Data Governance team Our Guarantee We are an approved IECB Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras. The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and train for free, with the exam retake included too. Assessment All candidates at official training courses will be offered the opportunity to sit the associated exam. For CDPO, this constitutes a 12 question essay type exam which should be completed within 240 minutes. A passing score is achieved at 70%. Accreditation Provided by This course is Accredited by NACS and Administered by the IECB.
During this training course, you will gain a comprehensive knowledge of a process model for designing and developing an organizational incident management plan. The compatibility of this training course with ISO/IEC 27035 also supports the ISO/IEC 27001 by providing guidance for Information Security Incident Management. After mastering all the necessary concepts of Information Security Incident Management, you can sit for the exam and gain "Certified ISO 27035 Lead Incident Manager" Certification. By holding this certification, you will be able to demonstrate that you have the practical knowledge and professional capabilities to support and lead a team in managing Information Security Incidents. About This Course Learning objectives Master the concepts, approaches, methods, tools and techniques that enable an effective Information Security Incident Management according to ISO/IEC 27035 Acknowledge the correlation between ISO/IEC 27035 and other standards and regulatory frameworks Acquire the expertise to support an organization to effectively implement, manage and maintain an Information Security Incident Response plan Acquire the competence to effectively advise organizations on the best practices of Information Security Incident Management Understand the importance of establishing well-structured procedures and policies for Incident Management processes Develop the expertise to manage an effective Incident Response Team Course Agenda Day 1: Introduction to Information Security Incident Management concepts as recommended by ISO/IEC 27035 Day 2: Designing and preparing an Information Security Incident Management plan Day 3: Enacting the Incident Management process and handling Information Security incidents Day 4: Monitoring and continual improvement of the Information Security Incident Management plan and the Exam. Additional Information Certification fees are included in the exam price. An attendance record worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course. In case candidates fail the exam, they can retake it within 12 months of the initial attempt for free. 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. Our Guarantee We are an Accredited Training Provider of the IECB. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras. The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam. Prerequisites A fundamental understanding of ISO/IEC 27035 and comprehensive knowledge of Information Security. What's Included? Delegates will be provided with; Course Slide deck Questions and Answers Bank Participant Guide Who Should Attend? Information Security Incident managers IT Managers IT Auditors Managers seeking to establish an Incident Response Team (IRT) Managers seeking to learn more about operating effective IRTs Information Security risk managers IT system administration professionals IT network administration professionals Members of Incident Response Teams Individuals responsible for Information Security within an organization Provided by This course is Accredited by NACS and Administered by the IECB
Stop dreaming, because living healthy and gaining muscles just became a reality Everyone has a story. If you don't take control of your life, someone else is going to write it for you. And daily exercise can definitely help you take control of your life. Why might you ask? Because exercising daily will help you get into a routine and bring structure in your life. Also if you are someone who gets bullied for your size, or how you look; then you can definitely gain some intimidating muscles. All this can be accomplished easily by simply taking this course. So what will you find in this course? You will learn about the principles of exercising, how to fit exercise into your busy life, and also identify and avoid common fitness mistakes. Part two of the course though is where you get more in depth. You will explore different exercises including the light training workouts and the much harder extensive workouts. The mysterious and ever eluding meal plans are also available in the course along with some information regarding supplements. So why to wait any longer; everyone has a story, it's time for you to write yours. 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 a cost of £39 or in PDF format at a 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 recognized 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. Daily Exercise Introduction 00:15:00 Is Exercising a Good Thing? Why? 01:00:00 The Principles of Exercise 01:00:00 Finding the Right Fitness Routine 01:00:00 Working Out When Time is Tight 01:00:00 Avoid These Fitness Mistakes 01:00:00 How to Fit in Exercise Time 00:30:00 Best Exercises for Women 01:00:00 Choosing a Sports Bra 01:00:00 Getting Your Family Moving 00:15:00 Using a Pedometer to Exercise 01:00:00 Exercising with Health Issues 01:00:00 Should You Use a Personal Trainer? 00:30:00 Conclusion 00:15:00 Muscle Building INTRODUCTION TO MUSCLE BUILDING 01:00:00 TRAINING EXERCISES 01:00:00 EXTENSIVE WORKOUTS 01:00:00 Power Foods Defined 01:00:00 Meal Plans: Print Out 01:00:00 Rested Performance and The Truth Behind Your Supplements 01:00:00 BODYBUILDING FOR WOMEN 01:00:00 A Note On Competitions 01:00:00 Benefits of Muscle Building 00:30:00 Final Words: Conclusion 00:15:00 Mock Exam Mock Exam- Daily Exercise and Muscle Building Course 00:30:00 Final Exam Final Exam- Daily Exercise and Muscle Building Course 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content 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 Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
Manager as Coach (On-Demand) This learning solution delivers a practical tool kit for developing coaching skills that you can leverage as a leader with your team. The objective of this course is to provide a platform for developing and growing key coaching skills so that you can help your team members become more self-sufficient and focused. This, in turn, helps you to become even more productive as your time is freed up, allowing you to focus on the strategic, big-picture direction. Learning will be supported through individual problem-solving exercises and conducted by a practicing, accredited professional coach/experienced workshop facilitator. What you will Learn You'll learn how to: Define what is coaching, what ifs not and what's in it for managers to coach Recognize difference between various developmental interactions like Coaching. Counselling and Mentoring Explain and interpret the different roles ofa manager and the process of coaching Practice skills of coaching as a manager Formulate an individual development plan for application at workplace Foundation Concepts What is coaching? Coaching in context The essence of coaching Core coaching skills Options for coaching Business case for coaching Qualities and Skills of a High-Performing Coach Core competencies of an effective coach Deep listening Exploring trust Emotional Intelligence in coaching Values at the heart of coaching relationship Core Skill: Asking Powerful Questions What is a powerful question? Becoming curious! Using powerful questions The Coaching Process Different styles of coaching Three coaching models - flow, practice and grow Spotlight on the grow model
This is an amazing course for anyone who wants to get started with functional programming with libraries such as cats-effect/ZIO and understand IO Monad in depth. Learn about functional programming and effects from this most structured and well-thought-out course on Scala IOs.
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The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.
Book a 121 and get this hand picked coaching course available exclusively for Hannah's 121 clients! Delve into the key training foundations, watching exercises again and again with family and friends and join the group discussion under every video! Course curriculum 1 The power of Yes Understanding Your Learner The Power of NO Attention Seeking 2 Training Foundations Luring & "This Way" Clicker Introduction Clicker Training Top Tips Click, Sit & Down Teaching your dog its name Wait & Stay Teaching Watch Relaxation Mat Training Reliable Recall! 9 Games to revolutionise your Recall! Using Punishment: Time Outs Are Dogs Dominant? Force Free Harness, Muzzle, Vet Collar & Jumper Fitting! 3 Loose Lead Walking For Life Why Dogs Pull Choosing a lead Teaching Close Let's Walk! It's Lead Time Pulling Doesn't Work Training without food Leadwork Trouble Shooting 4 Bonus Content Teaching Touch The Intelligence Test