1521 Tax courses

Autism course aims to provide learners with a better understanding of autism spectrum disorder (ASD) and how it impacts the individual, along with effective strategies for supporting individuals with ASD.

property law course provides you with a detailed understanding of property law, regardless of whether your goal is to learn about it for personal or professional reasons.

A workshop for 19-29 years olds living in West Sussex who do not have their level 4 or higher maths GCSE (or equivalent). Learn how to calculate your pay and understand a payslip. Know what deductions you should pay and how to check your're on the right tax code.

Overview This is a 1 Day Product course and as such is designed for participants who wish to improve the depth of their technical knowledge surrounding Exotic Options. Who the course is for Equity and Derivative sales Equity and Derivative traders Equity & Derivatives structurers Quants IT Equity portfolio managers Insurance Company investment managers Risk managers Course Content To learn more about the day by day course content please request a brochure To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Audit, Compliance Audit, Road Haulage Audit, Transport Audit, Traffic Commissioner Audit, DVSA Audit

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for those who provide site collection and site administration and are power users or IT professionals who are tasked with supporting or working within the SharePoint 2016 environment on premise and/or in Office 365. Overview After completing this course, students will be able to: - Design and implement a company portal structure using SharePoint 2016 objects including sites, libraries, lists and pages - Explain the role of security and permissions throughout SharePoint 2016 - Implement guidelines for consistency in building a company portal to aid in the day-to-day administration of content in SharePoint 2016 - Enhance the design and content of a company portal using SharePoint 2016 pages and web parts - Explain the importance of governance for the planning and managing future growth of the - SharePoint 2016 implementation - Identify options to integrate data from other systems such as Microsoft Office, as well as preserve existing data - Explain the role of social networking in SharePoint 2016 and its impact on collaboration This course is intended for power users and IT professionals who are tasked with working within the SharePoint 2016 environment and conduct site collection and site administration. Getting Started with SharePoint 2016 Exploring SharePoint 2016 Site Collection and Site Administrator Roles Defining SharePoint Terminology Navigating a SharePoint Site Interacting with the Ribbon Creating and Editing Basic Content What is Metadata? Versions of SharePoint Standard Enterprise O365 Building a Site Collection with Apps The Structure of SharePoint Creating a Site What does a site template come with? Defining SharePoint Apps Customizing Lists and Libraries Creating/Managing Lists and Libraries through SharePoint Designer Explaining Views on Lists and Libraries Creating Views in Lists and Libraries Modifying Navigation Turning Site Features On/Off Reorganizing a Site using Site Content and Structure feature Lab 1: Creating a Structured Company Portal Lab 2: Creating a List Using SharePoint Designer (Optional) Creating Consistency across Sites Defining Site Columns Defining Content Types Implementing a Taxonomy Using Templates to Promote Consistency Lab 1: Creating Site Columns and Content Types Lab 2: Implementing a Taxonomy Lab 3: Configuring the Content Organizer SharePoint Permissions Explaining Permissions and Security in SharePoint Creating SharePoint Groups Managing Permissions within SharePoint Sharing versus Traditional Security Sharing as different permission levels Lab 1: Managing Permissions in SharePoint Working with Pages and Web Parts Changing the Appearance of the Portal Editing a Page wiki web part Working with Web Parts and App Parts App Parts Content Search Web Part Relevant Documents Content query Table of Contents Pictures Web Part Connections Filter web parts Web parts with Targeting Audience Lab 1: Adding and Configuring Web Parts Lab 2: Connecting Web Parts Lab 3: Applying Themes to Your Company Portal Document and Records Management Basic Content Approval Versioning Check In/Out Holds Retention Policy Document ID Content Organizer Compliance Policy Center Site Template EDiscovery Records Center Lab 1: Working with Advanced Document Management Features Lab 2: Leveraging Records Management to Preserve Data Workflow Alerts Out of the Box Workflow Activating Workflow Features Approval Workflow Creating a Workflow in SharePoint Designer Lab 1: Creating an Approval Workflow from SharePoint Lab 2: Creating a Custom Workflow in SharePoint Designer (Optional) Office Integration Outlook Calendar Contacts Excel Word PowerPoint OneDrive for Business OneNote Access Lab 1: Importing and Exporting Excel Data with SharePoint Lab 2: Linking Outlook and SharePoint Creating Publishing Sites Why use a publishing site? Publishing Pages Enabling Web Content Management Managing the Structure of Web Content Navigating a Site Using Managed Metadata Lab 1: Creating a Rich Publishing Sit Lab 2: Configuring a Publishing Approval Process Lab 3: Implementing a Managed Navigation Site Bridging the Social Gap My Sites Configuring Social Features in SharePoint Posts, Tags and Mentions Creating a Community Site Lab 1: Designing a Social Experience in SharePoint 2016 Lab 2: Creating a Community Site Finding Information Using Search Exploring the Search Features in SharePoint Configuring Search Settings Search Analytics Search Visibility Lab 1: Configuring an Advanced Search Center Planning a Company Portal Using SharePoint Defining SharePoint Governance Working with Information Architecture Implementing Site Hierarchies Discussing the Execution of Governance Site Collection Administrator Settings Exploring Settings for Site Collection Administrators Exploring Settings for Site Administrators Site Closure Policies Additional course details: Nexus Humans 55234 SharePoint 2016 Site Collections and Site Owner 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 55234 SharePoint 2016 Site Collections and Site Owner 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 3 Days 18 CPD hours This course is intended for Project team members & Consultants In this course, students become familiar with logistics invoice verification as the final stage in the external procurement process. Students also learn how to enter invoices relating to purchase orders, block them, and release them for payment. Course Outline Introduction to invoice verification Invoice entry and parking Taxes, cash discounts, and foreign currency Invoices for purchase orders with account assignment Variances with and without reference to an item, invoice blocking reasons Invoice reduction, releasing blocked invoices Delivery costs Subsequent debits and credits Credit memos and cancellations Invoice verification in the background Automated processing GR/IR clearing account maintenance Customizing for invoice verification

Duration 1 Days 6 CPD hours Overview The purpose of this document is to provide the learning outcomes for the course and the assessment criteria. It also provides an overview of the examination design in terms of the types of questions asked.Starting with Chapter 2, Digital Transformation, the BL 1 & 2 (for Bloom's Taxonomy 1 & 2) provides the number of questions that will appear on the exam. This course is targeted at IT and Cybersecurity professionals looking to become certified on how to operationalize the NIST Cybersecurity Framework (NCSP) across an enterprise and its supply chain. Digital Transformation Explain what it means to ?become digital.? Discuss the difference between industrial and digital era enterprises. Explain how cybersecurity supports an organization?s digital transformation. Understanding cyber Risks Explain the cyber risk equation. Identify and explain each component of the cyber risk equation. Describe the basics of a risk assessment. NIST Cybersecurity Framework Fundamentals9 Explain the genesis of the NIST-CSF. List and describe the components of the NIST-CSF. Describe each of the NIST-CSF?s objectives. Core Functions, Categories & Subcategories Understand and explain the a.Core Functions b.Framework Categories c.Informative References. Implementation Tiers & Profiles Understand and explain Implementation Tier terms and their use. Understand and explain each Implementation Tier. Understand and describe the three risk categories Understand and explain Profiles and their use a.Current b.Target Understand and describe the use of Profiles when a.Determining gaps b.Identify & prioritize focus areas Cybersecurity Improvement Understand and explain how an organization can approach the adoption and adaptation of the NIST-CSF Understand and describe how to implement cybersecurity controls using an incremental improvement approach. Understand and describe CIIS as a practice within an organization.

Duration 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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.