2663 Exercises courses delivered Online

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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): 00:17:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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

Regardless of whether you need to work at a fitness gym, coach a customer at his/her home or simply need to take in the fundamentals of aerobics for yourself, the Online Aerobics Training course is just tailored for you. If you as of now have the benefit of working with a fitness centre, you can, in any case, take this Aerobics course to enhance your knowledge and skills. As an aerobics trainer, you will not only supervise exercises and fitness routines but also advise, monitor and evaluate several activities taking place during your work. This online aerobics will cover several of aerobic coach obligations, vigorous exercise wellness hypothesis; high impact exercise works out and much more. Course Highlights Fitness Course: Aerobics is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Fitness Course: Aerobics into 14 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 9 hours, 40 minutes hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Fitness Course: Aerobics Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Fitness Course: Aerobics is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Fitness Course: Aerobics is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Fitness Course: Aerobics Introduction To Aerobic Exercise FREE 00:30:00 Kinds Of Aerobic Exercises FREE 00:30:00 Set To Aerobics Exercises 00:30:00 About Of Aerobic Breathing 00:30:00 Aerobic Dance Combines Exercise 01:00:00 Aerobic Exercise Equipment 00:30:00 About Of Aerobic Kickboxing 01:00:00 Step Aerobics Exercise For Fitness 01:00:00 Aerobics For Kids 01:00:00 The Best Types Of Aerobics 00:15:00 Aerobics Exercise basics 00:15:00 Aerobics During Pregnancy 01:00:00 The Beauty Of Aerobic Exercises 00:30:00 Benefits Of Aerobics Exercises 00:30:00 Mock Exam Mock Exam-Fitness Course: Aerobics 00:20:00 Final Exam Final Exam-Fitness Course: Aerobics 00:20:00

Jargon free in depth dog obedience instruction videos. Level 3 starts to cover tighter heelwork and competition level obedience but still fun for our pet dogs to do.

About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Learn Kubernetes from scratch with this course and gain the skills necessary to deploy and manage containerized applications.

  Delivered in either our Live Online (4 days) or in our Classroom (5 days), the ISO/IEC 27701 Lead Implementer training course enables you to develop the necessary expertise to assist an organization to establish, implement, maintain and continually improve a Privacy Information Management System (PIMS) based on ISO/IEC 27701 by enhancing an existing ISMS based on ISO/IEC 27001 and the guidance of ISO/IEC 27002. About This Course   This training course is designed to prepare its participants implement a Privacy Information Management System (PIMS) in compliance with the requirements and guidance of the ISO/IEC 27701. Moreover, you will gain a comprehensive understanding of the best practices of privacy information management and learn how to manage and process data while complying with various data privacy regimes.   After mastering the implementation and management of a Privacy Information Management System (PIMS), you can sit for the exam and gain the "Certified ISO/IEC 27701 Lead Implementer' credential. The internationally recognized Certificate proves that you have the practical knowledge and professional capabilities to implement the ISO/IEC 27701 requirements in an organization.   Learning objectives   Master the concepts, approaches, methods and techniques used for the implementation and effective management of a PIMS. Learn about the correlation between ISO/IEC 27701, ISO/IEC 27001, ISO/IEC 27002 and other standards and regulatory frameworks. Understand the operation of a PIMS based on ISO/IEC 27701 and its principal processes. Learn how to interpret the requirements of ISO/IEC 27701 in the specific context of an organization. Develop the expertise to support an organization in effectively planning, implementing, managing, monitoring and maintaining a PIMS.   Education approach   This training course is based on both theory and best practices used in the implementation of PIMS. 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 information security and comprehensive knowledge of the ISMS implementation principles What's Included?   Refreshments & Lunch (Classroom courses only) Course Slide Deck Official Study Guides CPD Certificate The Exam fees   Who Should Attend?   Managers and consultants involved in privacy and data management Expert advisors seeking to master the implementation of a Privacy Information Management System Individuals responsible and accountable for Personally Identifiable Information (PII) within organizations Individuals responsible for maintaining conformance with data privacy regimes requirements PIMS team members Accreditation 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 and exam retake offered Assessment   The exam consists of a 12 question essay type format, to be completed within 150 minutes and achieve a pass mark of 70%. Exam results are provided within 24 hours. Provided by   This course is Accredited by NACS and Administered by the IECB.

  Delivered in either Live Online (4 days) or in our Classroom (5 days), the ISO/IEC 27005 Lead Risk Manager training enables you to acquire the necessary expertise to support an organization in the risk management process related to all assets of relevance for Information Security using the ISO 27005 standard as a reference framework. During this training course, you will gain a comprehensive knowledge of a process model for designing and developing an Information Security Risk Management program. The training will also contain a thorough understanding of best practices of risk assessment methods such as OCTAVE, EBIOS, MEHARI and harmonized TRA. This training course supports the implementation process of the ISMS framework presented in the ISO/IEC 27001 standard. About This Course   After mastering all the necessary concepts of Information Security Risk Management based on ISO/IEC 27005, you can sit for the exam and gain the "Certified ISO/IEC 27005 Lead Risk Manager' credential. By holding this credential, 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 Risks.   Learning objectives Master the concepts, approaches, methods and techniques that enable an effective risk management process based on ISO/IEC 27005 Acknowledge the correlation between Information Security risk management and security controls Learn how to interpret the requirements of ISO/IEC 27001 in Information Security Risk Management Acquire the competence and skills to effectively advise organizations on Information Security Risk Management best practices Acquire the knowledge necessary for the implementation, management and maintenance of an ongoing risk management program Educational approach This training is based on both theory and best practices used in Information Security Risk Management Lecture sessions are illustrated with examples based on cases studies Practical exercises are based on a case study which includes role playing and discussions Practice tests are similar to the Certification Exam Who Should Attend?   Information Security risk managers Information Security team members Individuals responsible for Information Security, compliance, and risk within an organization Individuals implementing ISO/IEC 27001, seeking to comply with ISO/IEC 27001 or individuals who are involved in a risk management program IT consultants IT professionals Information Security officers Privacy officers What's Included?   Official Course Slide decks Candidate pack Exam fees Prerequisites   A foundational understanding of ISO/IEC 27005 and knowledge of Risk Assessment and Information Security. 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 and exam retake offered Accreditation Assessment   The exam for this course is a 12 question essay type. The pass mark is 70% and should be achieved within the allotted 150 minute exam timeframe. Exam results are provided within 24 hours. Provided by   This course is Accredited by NACSand Administered by the IECB

  A CMS provides organizations a structured approach to meet all compliance obligations, i.e., requirements that they mandatorily have to comply with such as laws, regulations, court rulings, permits, licenses, as well as those that they voluntarily choose to comply with such as internal policies and procedures, codes of conduct, standards, and agreements with communities or NGOs.  About This Course   The benefits of implementing a compliance management system (CMS) based on ISO 37301 are manifold: helping the organization avoid or mitigate the costs, risks, and damage of noncompliance, ensuring the long-term sustainability of the organization, promoting trust and confidence, encouraging good governance practices, due diligence, and ethically sound business dealings, etc.  The ISO 37301 Lead Implementer training course provides the knowledge needed to establish, implement, manage, maintain, and continually improve a CMS. It aims to provide an in-depth understanding of ISO 37301 requirements, as well as the best practices and approaches used for the implementation and subsequent maintenance of the compliance management system. The training course enables you to help organizations establish processes needed to adhere to all compliance obligations and establish controls that proactively prevent noncompliance and contribute to the creation of a culture of integrity, transparency, and openness. The training course is followed by the certification exam. If you pass, you gain the 'Certified ISO 37301 Lead Implementer' credential. This credential validates your professional capabilities and competences to implement a CMS in an organization based on the requirements of ISO 37301. This training course will help you: Gain a comprehensive understanding of the concepts, approaches, methods, and techniques used for the implementation and effective management of a CMS Acknowledge the correlation between ISO 37301 and other standards and regulatory frameworks Gain the ability to interpret the requirements of ISO 37301 in the specific context of an organization Develop the necessary knowledge and expertise to support an organization in effectively planning, implementing, managing, monitoring, and maintaining a CMS Acquire the expertise to advise an organization in implementing CMS best practices 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.     Prerequisites   The main requirements for participating in this training course are a basic knowledge of ISO management system standards, as well as a general understanding of ISO 37301 (or ISO 19600 guidelines) and the MS implementation principles. What's Included?   Certification fees are included in the exam price. Training material of over 450 pages of information and practical examples will be provided. An attestation of course completion worth 31 CPD (Continuing Professional Development) credits will be issued to participants who have attended the training course. In case of exam failure, candidates can retake the exam once for free within 12 months following the initial exam date. Who Should Attend?   Managers, consultants, and compliance officers wishing to develop a thorough understanding of ISO 37301 requirements for a compliance management system Managers and consultants seeking a comprehensive CMS implementation framework Compliance officers responsible for practicing due diligence with regard to compliance risks Individuals wishing to contribute in maintaining organizational integrity by supporting ethical behaviour Managers and members of governance, risk management, and compliance teams Individuals aspiring to become compliance officers or compliance management consultant Accreditation Provided by   This course is Accredited by NACS and Administered by the IECB

This half-day course is for anyone who wants to learn how to use AI and specifically ChatGPT to improve their marketing and social media.

Data dashboards provide key information to stakeholders so that they can make informed decisions. While there are plenty of software solutions for building these essential data products, there is much less guidance on how to design dashboards to meet the diverse needs of users.  This course is for anyone who is building or implementing dashboards, and wants to know more about design principles and best practice. You could be using business intelligence software (such as Power BI or Tableau), or implementing bespoke solutions.  The course will give your team the ability to evaluate user needs and levels of understanding, make informed decisions about chart selections, and make effective use of interactivity dynamic data.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content  Session 1: Data with a purpose Understanding the different types of dashboard. Information overload and other common dashboard pitfalls. Assessing user needs and levels of data fluency. Session 2: Planning a dashboard Assessing diverse user needs and levels of data fluency. Taking a User Experience (UX) approach to design and navigation. Applying an interative and collaborative approach to onboarding. Session 3: Graphs, charts and dials  Understanding how graphical perception informs chart choices. Making intelligent design choices to help users explore. Design principles for layout and navigation. Session 4: Using interactivity  Making effective use of filters to slice and dice data sets. Using layers of information to enable drilldown data exploration. Complenting dashboards with automated alerts and queries. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “Alan was great to work with, he took us through the concepts behind data visualisation which means our team is now equipped for the future. He has a wide range of experience across the topic that is delivered in a clear, concise and friendly manner. We look forward to working with Alan again in the future.” John Masterson | Chief Product Officer | ImproveWell