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After completing the Tax Accounting course later, you can enrol in these courses: Association of Chartered Certified Accountants (ACCA) AAT Level 2 Certificate in Accounting BCS Foundation Certificate in Business Analysis AAT Level 3 Diploma in Accounting AAT Level 1 Award in Bookkeeping A-level Accounting Certificate in Business Accounting (CBA) IGCSE Accounting Foundation in Bookkeeping Diploma Level 7 Diploma in Accounting and Finance Association of Accounting Technicians certificate in business accounting CBA AAT Level 2 Certificate in Accounting AAT Foundation Certificate in Bookkeeping Level 2 ACCA Diploma in Accounting and Business (RQF Level 4) CIMA Certificate in Business and Accounting CIMA Diploma in Management Accounting AAT Advanced Diploma in Accounting Level 3 Official Xero Certification Level 6 Diploma in Professional Accountancy (RQF) AAT Level 4 Diploma in Professional Accounting Level 3 Diploma Foundation Diploma in Accountancy AAT Advanced Certificate in Bookkeeping Level 3 Association of Chartered Certified Accountants (ACCA) AAT Level 2 Certificate in Bookkeeping Chartered Institute of Management Accountants Institute of Financial Accountants Membership of the Chartered Institute of Management Accountants Level 4 Diploma Accounting and Business Finance NCFE Level 3 Diploma in Skills for Business: Finance Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Financial Accounting Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.
Course Overview Launch a successful career in the ICT industry with this complete introductory training course. The Understanding ICT: Information and Communication Technology course will teach you everything you need to know to kickstart a promising career in the ICT industry. It covers key topics such as computer systems, networks and databases, hardware and software, and input devices. You will also explore how ICT is applied in the banking and retail sectors, and delve into the world of artificial intelligence. This course is ideal for anyone looking to start a career in this field, including aspiring ICT technicians, data business analysts and service desk engineers. There are no specific entry requirements for this course, which can be studied on a part-time or full-time basis. This best selling Understanding ICT: Information and Communication Technology has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Understanding ICT: Information and Communication Technology is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Understanding ICT: Information and Communication Technology is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Understanding ICT: Information and Communication Technology is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Understanding ICT: Information and Communication Technology, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Understanding ICT: Information and Communication Technology will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Understanding ICT: Information and Communication Technology to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Program/Project Managers, and Users. Overview Learn how to create queries in BEx Query DesignerLearn how to use advanced query functionsLearn how to perform OLAP analysis In this course, students obtain the knowledge to create query definitions using the BEx Query Designer and to make them available for OLAP analysis. Data Warehousing Describing Data Warehousing Describing Data Warehouse Architecture Using Reporting Tools Navigation Options in Reports Using the Navigation Options in Reports Saving Analysis Views Simple Queries Creating Simple Queries Finding a Query Filtering Query Definition Data Configuring Query Properties Key Figures and Structures in Queries Creating Restricted Key Figures Creating Calculated Key Figures Creating a New Formula with Boolean Operators Configuring Properties of Key Figures Using Exception and Nested Exception Aggregation Queries with Multiple Structures Creating Structures Resolving Formula Collision Designing Detailed Queries with the Cell Editor Characteristics and Hierarchies in Queries Configuring the Properties of Characteristics Running Display and Navigation Attribute Queries Adding Hierarchies to Reports Adding External Hierarchies to a Report Using Hierarchies and Structures Creating External Hierarchies Variables in Queries Using Variables Creating Characteristic Value and Text Variables in Queries Creating Hierarchy and Hierarchy Node Variables in Queries Creating Formula Variables in Queries Activating Business Content Variables Exceptions and Conditions in Queries Creating Exceptions in Query Design Creating Conditions in Query Design Report-Report Interface Using the Report-Report Interface Query Performance Optimization Optimizing Query Performance Configuring Query Read Mode Use Performance Monitoring Tools Queries Management and Authorizations Overview Managing Query Objects Describing Authorizations Reporting Options Outlining Reporting Options for SAP NetWeaver BW Additional course details: Nexus Humans BW305 SAP Business Warehouse Query Design and Analysis 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 BW305 SAP Business Warehouse Query Design and Analysis 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 Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts