120 Statistics courses in London delivered Live Online

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.

A flexible, modular-based, programme to heighten participants' awareness of ways in which their operations can affect the environment, the principles of environmental management and the practical steps they need to take as individuals and as an organisation to improve environmental performance. Depending on the course modules selected, this programme will give participants: Increased awareness of relevant environmental issues A greater understanding of, and commitment to, the organisation's environmental management programme Preparation for any responsibilities they may have under an Environmental Management System Further benefits according to options chosen 1 Environmental awareness Definition of 'the environment' Key environmental issuesGlobal warmingOzone depletionAcid rainAir qualityWater pollutionContaminated landLand take and green belt shrinkageResource usageHabitat destruction and species extinctions. Option: This module can be used to explain the key environmental issues related to the activities of your own organisation. Diagrams, photos, pictures, examples and statistics relevant to your own organisation are used where possible to illustrate the points being made. 2 Environmental legislation Key elements of environmental legislation affecting the activities of your organisation - including international, European and UK legislation. Legislation of particular relevance to your organisation - how it affects the operations of your organisation Option: Legislation can be dealt with according to which aspect of the environment it protects (eg, air, water, waste) or which part of your organisation's activities it affects Consequences of breaching legislation 3 Environmental management systems Overview of what an environmental management system isHow is an Environmental Management System (EMS) designed and put together?Key elements (emphasising Plan - Do - Check - Review cycle)The need to continually improve Pros and consReasons for having an EMSBenefits of an EMSConsequences of not managing the environmentCosts of installing an EMS Explanation of ISO 14001 and EMAS standards and guidance as applicable to the EMSs of your organisationOverview of your organisation's EMSHow it was set up / is being developed / operatesWho is responsible for itKey parts of system (eg, environmental policy, objectives and targets) identified and discussedEMS documentation - what and where it is. Workshop option: Brainstorm 'Pros and cons' with the participants, come up with all their ideas for good and bad things about EMS and demonstrate that the 'good' list is longer than the 'bad' 4 Environmental consequences Define what an environmental impact is and discuss how they are determined, with reference to the EMS Identify why we want to determine the environmental consequences of operations and activities; how they are used in the EMS for planning, and reducing the impact on the environment Establish key environmental consequences of construction and operational activities on the site; discuss significance ranking and the control measures in place in your organisation. Workshop option: In small groups, participants are asked to identify the impact on the environment of your organisation's activities or a part of their activities. They are then asked to rank these impacts in terms of their significance, using guidelines provided to help them be aware of the contributing factors (eg, frequency, severity). For a selected number of the impacts, the participants are asked to identify what control measures there are and which of these they play a part in. All stages can be discussed with trainers as a whole group at various stages during the workshop. 5 Protected species, nature conservation and invasive weeds Nature conservation, landscape and visual issues in the planning process - overview of key nature UK wildlife legislation, EIA, appropriate timing of surveys, Hedgerow regulations and landscape and visual impact issues Ecological issues - ecological legislation, significant species, hedgerows Archaeology in the development process - why archaeology is important, organisation in the UK, legislation and planning guidance Construction phase issues and consents - major environmental issues during construction, including water resources and land drainage consents, discharges to land or water, water abstraction, public rights of way, tree protection, waste management, Special waste, noise, good practice pollution control and Environmental Audits Identification and management of invasive weeds - including legal position regarding management 6 Chemicals and fuels handling and storage How health and safety management is closely linked to environmental management of materials Planning - what mechanisms are in place for planning materials use; legislation, guidance and policies which define how to manage materials Materials storage - what are the considerations for storing materials, covering:Labels: what are the different types and what do they tell us?Storage facilities: what are the requirements for safe storage of materials (eg, signs, secondary containment, access, segregation, lids/covers)Handling: safe handling for protecting the environment, organisational procedures, high risk situations (eg, decanting, deliveries), how to reduce the risks (eg, use of funnels, proper supervision, training)COSHH and MSDS: brief explanation of legislation and its role in environmental control of hazardous materials, how to use the information provided by COSHH assessments Option: These sessions can be illustrated with photographs/pictures and examples of good and bad storage and handling practices Workshop Options: Labelling Quiz - quick-fire quiz on what different labels tell us; Build a Storage Facility - participants are asked to consider all the environmental requirements for building a safe storage facility for their organisation 7 On-site control measures Overview of the legislation associated with nuisance issues on site and mitigating problems when they arise Examples of bad practice, including fuel storage tanks and mobile equipment - costs involved with prosecution of fuel spills, remediation costs, management costs, legal fees, bad PR coverage Identification and management of contaminated land and relevant legislation Workshop option: Participants are provided with a site plan containing information on site features, environmental conditions and indications of potential issues 8 Waste management Why worry about waste? - a look at how waste disposal can impact on the environment, illustrated by examples of waste-related incidents, statistics on waste production on national, industry-wide and organisational levels, landfill site space, etc Legislation - overview of the relevant legislation, what the main requirements of the regulations are, what penalties there are, and the associated documentation (waste transfer notes) Waste classification - a more in-depth look at how waste is classified under legislation according to hazardous properties, referring to Environment Agency guidance Handling and storage requirements - what are the requirements of the applicable waste legislation and how are they covered by organisational procedures? Examples of good and bad environmental practice associated with handling and storing waste. Workshop option: 'Brown bag' exercise - participants pass round a bag containing tags each with a different waste printed on. They are asked to pick out a tag and identify the classification and the handling, storage and disposal requirements for the waste they select Waste minimisation - overview of the waste minimisation 'ladder' and its different options (elimination, reduction, reuse and recycling), benefits of waste minimisation, examples of waste minimisation techniques Workshop option: Participants are asked to identify opportunities that actually exist within the organisation for minimising production of waste that are not currently being taken advantage of 9 Auditing Requirements for environmental auditing of operations Auditing the EMS Types of internal and external audits Requirements EMS standards (ISO 14001 and EMAS) Carrying out internal audits and being prepared for external audits Workshop options:Mock audit 'Brown Bag' - can be used either for trainers to test participants as if they were in an audit situation, or for the participants to test each other and practice their auditing technique. The bag contains tags each with a different topic printed on (eg, waste skips); participants pass the bag round and select a tag; they are then questioned by the trainer or another participant about that topic as if they were in an audit situation. If the participants are auditing each other, they will be provided with a set of guidelines to keep in mind during the workshop.Virtual auditing - a more practical workshop where participants review photographs of situations/activities relevant to the organisation's operations. They are asked to identify all the good and bad environmental practices that are occurring in the situations. 10 Incident response What should you do when an incident does happen? What should be in a spill kit? When should you call in the experts? When should you inform the Environment Agency or Environmental Health Officer? Workshop option: The participants are provided with some incident scenarios and asked to develop a response to the incident 11 Monitoring and reporting Environmental monitoring programmes and procedures Monitoring and reporting as control measures for environmental consequences Monitoring and environmental 'STOP' card systems - personal and behavioural monitoring and reporting

Duration 5 Days 30 CPD hours This course is intended for This course is designed for IBM Integration Bus administrators and developers who administer IBM Integration Bus. Overview After completing this course, you should be able to:Install and configure an IBM Integration Bus instanceEstablish, maintain, and manage an integration nodeAdminister IBM Integration Bus components and message flow applications by using the IBM Integration web user interface and command interfaceConfigure connectivity to IBM MQ to enable IBM Integration Bus to get messages from, or put messages to, queues on a local or remote queue managerImplement IBM Integration Bus administration and message flow securityUse problem determination aids to diagnose and solve development and runtime errorsUse the IBM Integration web user interface to generate and display message flow statisticsUse IBM MQ or MQTT to publish and subscribe to IBM Integration Bus topicsImplement an IBM Integration Bus global cache to store, reuse, and share data between integration nodesUse workload management policies to adjust the processing speed of messages and control the actions that are taken on unresponsive flows and threadsUse the IBM Integration web user interface and a database to record events and replay messagesEnable an integration node to connect to a database with ODBC and JDBCConfigure a Java Message Services (JMS) provider for use with the JMS nodesConfigure IBM Integration Bus for the secure file transfer protocol (SFTP)Find and install IBM Integration Bus SupportPac components In this course, students learn how to administer IBM Integration Bus on distributed operating systems, such as Windows and AIX, by using the IBM Integration Bus administrative interfaces. Course Outline Course introduction IBM Integration Bus overview Product installation, configuration, and security planning Exercise: Integration node setup and customization Connecting to IBM MQ Exercise: Connecting to IBM MQ Administration in the IBM Integration Toolkit Exercise: Using the IBM Integration Toolkit Administration basics Exercise: Administering the IBM Integration Bus runtime components Implementing IBM Integration Bus administration security Exercise: Using file-based security to control administration access Exercise: Using queue-based security to control administration access Implementing IBM Integration Bus message flow security Administering web services and web service security Exercise: Implementing web services and web services security Diagnosing problems Exercise: Using problem diagnosis tools Exercise: Identifying runtime problems Monitoring the integration node and message flow performance Publish/subscribe implementation overview Exercise: Viewing runtime statistics Configuring IBM Integration Bus for high availability Exercise: Administering workload management policies Monitoring, recording, and replaying message flow events Exercise: Recording and replaying message flow data Extending IBM Integration Bus Course summary Additional course details: Nexus Humans WM646 IBM Integration Bus V10 System Administration 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 WM646 IBM Integration Bus V10 System Administration 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.

Duration 2 Days 12 CPD hours This course is intended for This course is relevant to anyone who needs to work with and understand data including: Business Analysts, Data Analysts, Reporting and BI professionals Marketing and Digital Marketing professionals Digital, Web, e-Commerce, Social media and Mobile channel professionals Business managers who need to interpret analytical output to inform managerial decisions Overview This course will cover the basic theory of data visualization along with practical skills for creating compelling visualizations, reports and dashboards from data using Tableau. Outcome: After attending this course delegates will understand - How to move from business questions to great data visualizations and beyond How to apply the fundamentals of data visualization to create informative charts How to choose the right visualization type for the job at hand How to design and develop basic dashboards in Tableau that people will love to use by doing the following: Reading data sources into Tableau Setting up the roles and data types for your analysis Creating new data fields using a range of calculation types Creating the following types of charts - cross tabs, pie and bar charts, geographic maps, dual axis and combo charts, heat maps, highlight tables, tree maps and scatter plots Creating Dashboards that delight using the all of the features available in Tableau. The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to tourism. From Business Questions to Data Visualisation and Beyond The first step in any data analysis project is to move from a business question to data analysis and then on to a complete solution. This section will examine this conversion emphasizing: The use of data visualization to address a business need The data analytics process ? from business questions to developed dashboards Introduction to Tableau ? Part 1 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Introduction to Tableau ? Part 2 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Key Components of Good Data Visualisation and The Visualisation Zoo In this section the following topics will be covered: Colour theory Graphical perception & communication Choosing the right chart for the right job Data Exploration with Tableau Exploring data to answer business questions is one of the key uses of applying good data visualization techniques within Tableau. In this section we will apply the data visualization theory from the previous section within Tableau to uncover trends within the data to answer specific business questions. The types of charts that will be covered are: Cross Tabs Pie and bar charts Geographic maps Dual axis and combo charts with different mark types Heat maps Highlight tables Tree maps Scatter plots Introduction to Building Dashboards with Tableau In this section, we will implement the full process from business question to final basic dashboard in Tableau: Introduction to good dashboard design Building dashboards in Tableau

This very practical workshop has a simple objective: to help you prepare, design and deliver memorable and high-quality presentations. This programme will help you: Use a proven, structured tool-kit when designing and developing presentations Benefit from short cuts and best practice when designing and using Powerpoint presentations Select the right information, examples, exercises and activities - and use them well Prepare and structure a presentation or session appropriate to the audience, and to best achieve your objectives Maintain audience or group interest Develop and practise presentation skills to improve your voice tone, speech power and body language Use practical methods to control nerves and anxiety - develop higher levels of confidence and credibility Command a room, hold attention and create a high impact 1 Introduction Personal objectives Key messages and learning objectives of the workshop 2 Presentation skills What does good look like? Exercise: Characteristics of high/low impact presentations Presenting yourself as a 'winner' The energy / attitude model Exercise: Being a winner 3 Preparation skills - eight steps to preparing a great presentation, plus Powerpoint tips •The magic circle• How to 'assume the role' when presenting• The eight steps• Step 1 - develop your objectives- The five questions that you must answer before preparing your presentation- Defining your objectives and outcomes- Creating a first draft- Step 1 exercise• Step 2 - analyse your audience- Doing your homework: audience, event, venue- Developing a pre-event check-list- Methods and means for researching your audience- Step 2 exercise• Steps 3 and 4 - structure the main body of your presentation and state the main ideas- Ways to structure your presentation for maximum impact- Balancing and managing content and topics- Organising your information: 6 options and methods- Your 'one main point' and creating a 30-second summary- Steps 3 and 4 exercises• Step 5 - decide on supporting information, using the toolkit- Making your case convincing: ways to support your claims- Selecting and using relevant and interesting examples- Quotes, case studies and printed material- Presenting statistics, tables and graphs- Ways of maintaining visual interest- Transitions and links, creating a 'golden thread'- Step 5 exercise: Creating compelling stories and anecdotes4• Step 6 - create an effective 'opening'- Claiming the stage and creating a good first impression- The three most powerful ways of opening a presentation- The five elements of a strong opening- Step 6 exercise: Participants work individually to prepare an opening, focusing onpersonal introduction, and then deliver to the group, with structured feedback• Step 7 - develop transitions- Step 7 exercise / examples• Step 8 - create an effective close- Signalling and sign-posting; the importance of, and how to do it effectively- Five ways to close a presentation successfully- Step 8 exercise / examples• Presentation design and Powerpoint- An interactive review of participants' own real-life past presentations and advanced tipsand techniques on using Powerpoint effectively 4 Facilitation skills The three main types of group activity - triads, teams and main group How to select the right activity, define the objectives, set it up and run the debrief Using energisers - with examples Exercise: Dealing with 'difficult' behaviours Exercise: Working in triads, design and deliver 5 Tips and tricks: presentation and facilitation 10 reasons why facilitation fails Five golden rules for success Defining the session goals and the facilitation plan Open and closed questions - why and when to use Using a 'car park' to manage unresolved issues Using AV aids - tips and tricks Exercises: Including participants working in pairs to prepare a short section form of one of their own presentations 6 Putting it all together Summary of key learning points Action plan

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 3 Days 18 CPD hours This course is intended for Ideal candidates are Network Administrators who monitor and troubleshoot wireless networks, and Network and System Administrators responsible for installing and configuring network monitoring systems. Overview This hands-on course prepares you with the knowledge and experience required to install and use the AirWave Wireless Management Suite: AirWave Management Platform (AMP), RAPIDS, Visual RF, network health diagnostics, client troubleshooting, alerts and reporting.  In this course, you learn about AirWave?s capabilities in troubleshooting network health and client status via the various stages of association and authentication, as well as redundancy and master consoles for large networks. Introduction to AWMS Airwave Platform. Features and Benefits of AMP RAPIDS and Visual RF. Airwave products. Basic operations using AWMS Installing AWMS Installing AMP. Hardware requirements. Cent OS and AWMS software. Basic configuration steps. Upgrade AWMS software. Licensing AWMS. AWMS documentation Adding Device to AWMS Folders and Groups. Adding devices general process. Manually adding devices. Device discovery and managing device discovery. Moving a device to a folder. Troubleshooting IAP Organizaion and Groups Overview of IAP.Airwave integration. Golden configuration. IAP Organization options. IAP Whitelist Using Visual RF and Visual RF Plan Navigation. Setup. Heat-maps and location information. Import floorplan graphics. Plan deployments. Provision APs. Manage Visual RF performance Network Health Diagnostics page indicators. Network performance tabs. Source of issues. Network issues Troubleshooting Clients and Wireless Networks Searching for users and Diagnostics tab. Client issues. Network issues. AP issues. Switch/Controller issues. General Issues Rogue Detection and Using RAPIDS Why use RAPIDS. Threat Detection Methods. Rules. Classifications. IDS Events Report. New Rogue Devices Report. Visualization. PCI Compliance.WMS Offload Managing Administrative Access, Alerts, Triggers and Reporting Configure role-based administrative use access to the AMP system. Triggers. Alerts. Define and generate reports Scalability and Redundancy VM Redundancy. Failover for Redundancy. Master Console for large deployments. Multiple AMP Server deployments. Large Deployment example System Administration AMP Maintenance. Device Maintenance Wired Device Management Monitoring wired devices in AWMS. Wired device port and interface information. Wired device bandwith statistics and counters. Managing and configuring wired devices via AWMS templates AirWave Aruba Groups How AWMS configures devices. Using groups to control policies. Creating and controlling groups. Basic Group Design.Configuration Audits IAP Template Configuration Fetching a Template. Template Variables. Templates Configuration IAP GUI Configuration Golden configuration. GUI mode. GUI configuration Additional course details: Nexus Humans Managing Campus Networks with Aruba AirWave, Rev. 19.21 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 Managing Campus Networks with Aruba AirWave, Rev. 19.21 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.

Course description Sage 50 Accounting / Bookkeeping Training - Fast Track Overview Want to open the door to working in Finance and Accountancy Industry? Starting Sage Line 50 Accounting Fast Track Training course will enhance your career potentials and give you the skills and knowledge you need to get started in Finance and Accountancy Industry. Get a new direction for your career in Accountancy, according to statistics, the average salary for Accountants is £50,000 (Source: Reed), it is the sector where the employability rate is higher than any other sector. With the right skills and practical experience, you would be able to fast track your career in Accountancy and exactly that's where Osborne Training can fill the gap. The intensive programmes include all the skills required to fast track your career in professional Accountancy. Duration 6 Weeks Study Options Classroom Based - Osborne Training offers Daytime or Weekend sessions for Sage 50 Bookkeeping Training Course from London Campus. Online Live - Osborne Training offers online Evening sessions for Sage 50 Bookkeeping Training Classes through the Virtual Learning Campus. Distance Learning - Self Study with Study Material and access to Online study Material through Virtual Learning Campus. Certification You will receive a certificate from Osborne Training once you finish the course. You have an option to get an IAB Certificate subject to passing the exams. What qualification will I gain? You could Gain the following IAB qualifications provided that you book and register for IAB exams and pass the exams successfully: IAB Level 1 Award in Computerised Bookkeeping (QCF) 500/9405/1 IAB Level 2 Award in Computerised Bookkeeping (QCF) 500/9261/3 IAB Level 3 Award in Computerised Bookkeeping (QCF) 500/9407/5 Awarding body International Association of Book-Keepers Sage 50 accounts Course Syllabus Creating a Chart of Accounts to Suit Company Requirements Sole Trader Accounts preparation The Trial Balance preparation Errors in the Trial Balance Disputed Items Use of the Journal Prepare and Process Month End Routine Contra Entries The Government Gateway and VAT Returns Bad Debts and Provision for Doubtful Debts Stock Valuation, Stock Control, Work in Progress and Finished Goods Prepare and Produce Final Accounts Extended Trial Balance Exporting Data including Linking to Other Systems Management Information Reports Making Decisions with Reports Using Sage Prepare and Process Year End Accounts and Archive Data Final Accounts for Partnerships including Appropriation Accounts The Fixed Asset Register and Depreciation Accruals and Prepayments Cash Flow and Forecast Reports Advanced Credit Control