125 Statistics courses in Cardiff delivered Live Online

This course provides participants with a comprehensive understanding of the requirements of the CDM Regulations 2015 and how these should be implemented in practice. The Regulations are put in context with other key health and safety legislation. The programme sets out clearly the roles and responsibilities of the principal duty holders and explores with the participants how these roles may vary on different types of project and procurement routes. The programme examines the content and appropriate level of information that should be included in the Pre-Construction Information and the Construction Phase Plan. The trainer will discuss best practice in implementing CDM through the new 2015 Regulations and Guidance. This course is essential for anyone who is involved in the procurement, planning, design or implementation of construction work. The course will provide you with: An overview of construction health and safety law, liability and enforcement A detailed understanding of the 2015 CDM Regulations and the part they play with other key legislation An explanation of the roles and responsibilities of all duty holders and the requirements for the CDM documentation Clear advice on current best practice for complying with the principles of the CDM Regulations and the changes introduced by the 2015 Regulations An understanding of how risk assessment should be applied practically throughout the design and how this responsibility is then transferred to contractors 1 Introduction Why manage health and safety? The costs of accidents Construction industry statistics Why CDM? Health and safety culture in the construction industry 2 Overview of health and safety law and liabilities Criminal and civil law Liability Enforcement and prosecution Compliance - how far do we go? Statutory duties 3 Health and safety law in construction Framework of relevant legislation Health and Safety at Work etc Act 1974 Management of Health and Safety at Work Regulations 1999 Construction (Design and Management) Regulations 2015 Who is responsible for the risks created by construction work? Shared workplaces/shared responsibilities Control of contractors - importance of contract law 4 Construction (Design and Management) Regulations 2015 Scope - What is construction? Application - When do they apply? The CDM Management System Duty holders (Client, Domestic Client, Designer, Principal Designer, Principal Contractor, Contractor) Documents (HSE Notification, Pre-Construction Information, Construction Phase Health & Safety Plan, H&S File) Management process The 2015 Guidance 5 Best practice - key issues in the CDM process The client and client management arrangements Competence and resource under CDM 2015 The role of the Principal Designer in practice Design risk assessment and the role of the Designer The CDM Documents (PCI, PCI Pack, Plan and File) Construction health, safety and welfare Making CDM work in practice 6 Questions, discussion and review

This course provides participants with a comprehensive understanding of the requirements of the CDM Regulations 2015 and how these should be implemented in practice. The Regulations are put in context with other key health and safety legislation. The programme sets out clearly the roles and responsibilities of the principal duty holders and explores with the participants how these roles may vary on different types of project and procurement routes. The programme examines the content and appropriate level of information that should be included in the Pre-Construction Information and the Construction Phase Plan. The trainer will discuss best practice in implementing CDM through the new 2015 Regulations and Guidance. This course is essential for anyone who is involved in the procurement, planning, design or implementation of construction work. The course will provide you with: An overview of construction health and safety law, liability and enforcement A detailed understanding of the 2015 CDM Regulations and the part they play with other key legislation An explanation of the roles and responsibilities of all duty holders and the requirements for the CDM documentation Clear advice on current best practice for complying with the principles of the CDM Regulations and the changes introduced by the 2015 Regulations An understanding of how risk assessment should be applied practically throughout the design and how this responsibility is then transferred to contractors 1 Introduction Why manage health and safety? The costs of accidents Construction industry statistics Why CDM? Health and safety culture in the construction industry 2 Overview of health and safety law and liabilities Criminal and civil law Liability Enforcement and prosecution Compliance - how far do we go? Statutory duties 3 Health and safety law in construction Framework of relevant legislation Health and Safety at Work etc Act 1974 Management of Health and Safety at Work Regulations 1999 Construction (Design and Management) Regulations 2015 Who is responsible for the risks created by construction work? Shared workplaces/shared responsibilities Control of contractors - importance of contract law 4 Construction (Design and Management) Regulations 2015 Scope - What is construction? Application - When do they apply? The CDM Management System Duty holders (Client, Domestic Client, Designer, Principal Designer, Principal Contractor, Contractor) Documents (HSE Notification, Pre-Construction Information, Construction Phase Health & Safety Plan, H&S File) Management process The 2015 Guidance 5 Best practice - key issues in the CDM process The client and client management arrangements Competence and resource under CDM 2015 The role of the Principal Designer in practice Design risk assessment and the role of the Designer The CDM Documents (PCI, PCI Pack, Plan and File) Construction health, safety and welfare Making CDM work in practice 6 Questions, discussion and review

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Duration 3 Days 18 CPD hours This course is intended for This course is intended for networking and security professionals involved in the administration and support of a security infrastructure using FortiGate appliances. Overview Monitor traffic passing through FortiGate Optimize FortiGate memory usage Diagnose using FortiGate tools such as the built-in sniffer and ''diagnose debug flow'' command Monitor statistics for user traffic, traffic shaping, user authentication, IPsec, web proxy, BGP, OSPF and HA Troubleshoot issues with conserve mode, high CPU, firewall policies, session helpers, user authentication, *IPsec, FortiGuard, UTM inspection, explicit web proxy, routing, and HA Describe the processing flow of FortiGate packet inspection Configure FortiGate for external BGP and OSPF This 3-day class provides more in-depth work with FortiGate infrastructure and architecture, combined with enhanced troubleshooting methods and tools to isolate and fix the most common issues in networks with FortiGate devices. Module 1: Security Fabric Configuring the Security Fabric Troubleshooting: Security Fabric Physical and logical topology views Module 2: FortiOS Architecture System information Module 3: System Troubleshooting Crash Logs Module 4: Traffic and Session Monitoring Exploring the session table Troubleshooting: Connectivity issues Module 5: Routing Failover of existing sessions Troubleshooting: Routing Module 6: FortiGuard Troubleshooting: Local FDS issue Troubleshooting: Rating lookups Module 7: Central Management FortiManager and registration Module 8: OSPF Configuring OSPF Troubleshooting: OSPF Module 9: Web Filtering and Antivirus Configuring Web Filtering and AV Troubleshooting: Web Filetering Troubleshooting: Antivirus Module 10: IPS Configuring IPS IPS custom signatures Module 11: BGP Configuring BGP Troubleshooting: BGHP neighbor Troubleshooting: BGP routing Configuring prefix lists Module 12: IPsec Troubleshooting: IPsec VPN Manager Module 13: Auto Discovery VPN Configuring ADVPN and IBGP Troubleshooting: OSPF and BGP' Additional course details: Nexus Humans Enterprise Firewall (NSE 7) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Enterprise Firewall (NSE 7) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Introduction to web development with React. 30 Hour course over 5 weeks.

AAT Level 2 is the first level of qualification for people with limited or no accounts knowledge. This Foundation Certificate in accounting training equips you for an entry-level role in an Accounting or Finance department. Moreover, this AAT course also lays the groundwork for a promising future in the accounting profession. By the end of the course, you will have a greater understanding and skills of manual and computerised accounts and how to use them in a 'real business world' setting. Why AAT? Want a new direction for your career? Think Accountancy, according to statistics, the average salary for Accountants is £50,000; it is the sector where the employ-ability rate is greater than any other sector. What are the benefits after completing AAT courses? A newly qualified AAT member can expect to earn an average of £21,600. Some accounting technicians work as accounts assistant; others go on to become managing directors or finance directors of well-known companies. Some go to work as a self employed accountant as AAT allows the student to become chartered. Osborne Training is an AAT Approved Training Provider in London. In taking the Association of Accounting Technicians qualification with Osborne Training, you will make one of the greatest decisions of your career. Duration You can expect this qualification to take 1-1.5 year to complete for most students. Tutors Tutors are highly qualified with extensive knowledge of accountancy. Study Options Classroom Based - evening, Weekend and Daytime sessions for AAT course from London Campus. Osborne Training continuously opening new campuses throughout the UK. Online Live - Interactive online sessions through world-class Virtual Learning Campus with study materials are delivered to your home address. Distance Learning- Self-Study with Study Material and access to Online study Material through Virtual Learning Campus. Once you finish the AAT qualification and pass all exams successfully, you will receive a globally recognised AAT Level 2 Foundation Certificate in Accounting from AAT. AAT Level 2 Course syllabus Bookkeeping transactions Bookkeeping Controls Elements of Cost Work effectively in finance Using Accounting Software (i.e SAGE)

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Want a new direction for your career? Think Accountancy, according to statistics, the average salary for Accountants is £50,000, it is the sector where the employability rate is higher than any other sector. Whether you're a school leaver, already employed or simply looking for a career change a career in accountancy could be a real option for you. What is AAT? The AAT is an internationally recognised accounting qualification and over 100,000 people are currently benefiting from gaining an AAT qualification and full AAT membership. Gaining the qualification will help you support yourself throughout your accountancy career. AAT Accounting Courses Overview: First of all, the AAT qualification consists of four progressive qualification levels (1, 2, 3 & 4) which will cover the key areas of Financial Accounting, Management Accounting, Taxation, Audit and Report Writing. Although you can start from Level 1, you may start from Level 2 if you have basic math and numeracy skills. In order to complete the full AAT Accounting qualification and gain full membership of the AAT, you will need to complete Level 3 and Level 4. Level 2 is recommended as an entry-level if you have no experience or knowledge of accounting and bookkeeping. The AAT qualification for accounting is broken down into three levels: AAT Level 2 Foundation Certificate in Accounting (5 Papers/Subjects) AAT Level 3 Advanced Diploma in Accounting (6 Papers/Subjects) Finally AAT Level 4 Professional Diploma in Accounting (6 Papers/Subjects) Hence, the AAT Accounting Qualification gives you practical, internationally recognised finance and accountancy skills that can open doors for you in many industries across the world. Finally, AAT offers a range of benefits for student members (including study support, career advice to help find the perfect job and exclusive discounts), as well as a route to progress into chartered accountancy. Moreover, if you choose to further your studies with any of the leading chartered accountancy professional bodies like ACCA, CIMA, CIPFA etc. your AAT qualification could make you eligible for generous exemptions. A Certificate of Attendance. A newly qualified AAT member can expect to earn an average of £21,600. Moreover, the AAT member will have been earning throughout their training and will have avoided student debt. Accounting technicians work at all levels of finance and accounting, depending on the level of their career. Some accounting technicians work as accounts clerks, others go on to become managing directors or finance directors of well-known companies. Some go to work as a self-employed accountant as AAT allows the student to become Accredited.

Personal Tax Return and Self Assessment training Course Most self-employed people and directors of companies have to do submit a Tax Return every year. If you are a self-employed person you may learn how to do tax return yourself. As a result, you can save money by not having to pay an external agent. Don't forget You can also save more money as you will know more about how to apply for a tax rebate. According to statistics, more than 60% of taxpayers not sure how to do tax return correctly and lose money for not knowing how to apply for a tax rebate correctly. If you want to offer tax services to the general public, then skills in this sector can dramatically improve your job prospect or business prospect. How to do a tax return Firstly, you need to be registered with HMRC to process your tax return. You should get a UTR (Unique Tax Reference) no, which is your personal identification no for tax purpose. Once you have details for all incomes and expenditure, you can submit them electronically to HMRC. The deadline for submitting a personal tax return is 31 January for the previous tax year. Apply for a Tax Rebate It is possible that you could be eligible for a tax rebate. The most possible scenarios are When you pay more tax than required Submitting an incorrect tax return Claiming special Tax relief There could be many more reasons why should you get a tax refund. It is vital to know the scenarios under which you should apply for a tax rebate. Identify the type(s) of returns that may be completed Understand the duties and responsibilities of a bookkeeper / tax agent when completing self-assessment tax returns Calculating the taxes on profits for Self Employed & on income for Employed individuals Understanding differences between Drawings & Dividends Introduction to UTR and NI Classes Understanding Tax Return submission procedures to HMRC (using 2 individual Scenarios) Analysing Class 2 & Class 4 NIC Analysing Personal Allowance Analysing Income from Self Employments Employment benefits Analysis Analysis of Car & Fuel benefits Analysis on savings and investment income and tax implications on them. Introduction to Capital Gains Tax analysis Introduction to Inheritance Tax Analysis Understanding the procedure for payment and administration of both tax and National Insurance Contributions

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Data Science for Marketing Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.