33036 PLA courses

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Advanced: Next level jamming ideas for next level players - where we jam advanced level songs (songs requiring barre chords, 7ths, m7th, maj7th, 9th, m9th, sus chords, lead work and complex rhythms) broken down and rebuilt ahead of an end of term performance in front of a live audience. Highly recommended for the player with some time to practice. Working towards a performance event in front of your friends and family and other members of The Guitar Social community on Saturday 17th June An Advanced level player feels like you’ve got it. You’re looking for a challenge and can pick up and adjust to new ideas quickly.

Advanced: Next level jamming ideas for next level players - where we jam advanced level songs (songs requiring barre chords, 7ths, m7th, maj7th, 9th, m9th, sus chords, lead work and complex rhythms) broken down and rebuilt ahead of an end of term performance in front of a live audience. Highly recommended for the player with some time to practice. Working towards a performance event in front of your friends and family and other members of The Guitar Social community on Saturday 17th June An Advanced level player feels like you’ve got it. You’re looking for a challenge and can pick up and adjust to new ideas quickly.

Advanced: Next level jamming ideas for next level players - where we jam advanced level songs (songs requiring barre chords, 7ths, m7th, maj7th, 9th, m9th, sus chords, lead work and complex rhythms) broken down and rebuilt ahead of an end of term performance in front of a live audience. Highly recommended for the player with some time to practice. Working towards a performance event in front of your friends and family and other members of The Guitar Social community on Saturday 17th June An Advanced level player feels like you’ve got it. You’re looking for a challenge and can pick up and adjust to new ideas quickly.

Look at some of the more advanced planning features available in Project. Course overview Duration: 1 day (6.5 hours) Our Project – Advanced Planning and Control course looks at advanced planning and resourcing techniques in Microsoft Project and how to customise your schedule to give better visibility and flexibility. The course is designed for experienced users of Project who have attended our Project Planning and Control introduction course or have equivalent knowledge. You must be confident using Project to build and resource schedules and create task dependencies. Objectives  By the end of the course you will be able to: Work with different types of task Amend resource load on a task Work with multiple resource rates Create custom tables Add custom fields Create calculated fields Add drop down lists in fields Filter and extract information Create new views Export information Content Advanced planning techniques Splitting tasks Task types Spreading work across activities Advanced resourcing techniques Resource types Assignment views Effective dates Work contours Overtime work Using multiple resource rates Creating custom tables Customising tables Adding fields Creating custom fields Adding text, number, date and time fields Using flag fields Defining pick lists Renaming custom fields Creating calculated fields Creating formulas Using graphical indicators Uploading and tracking progress Completing work Completing work per resource Updating tasks Updating the project Working with the status date Rescheduling work Viewing baseline against schedule Project overview statistics Working with filters Building standard filters Building interactive filters Task and resource filters Using highlight filters Creating custom views Creating customised views Customising text styles Using grouping techniques Exporting information Exporting to Excel

Learn how to use Microsoft Project to create and resource robust project plans and how to maintain and track throughout the project lifecycle. Course overview Duration: 1 day (6.5 hours) Our Project Planning and Control course gives you the essential skills to use Microsoft Project to build, resource and monitor project schedules. It looks at initial setup, building plans, using a work breakdown structure and managing resources through to baselining and progressing your schedule. This course is designed for new or existing users of Microsoft Project, and no previous experience of Project is required. Knowledge of planning techniques would be an advantage. Objectives  By the end of the course you will be able to: Create project schedules Build a Work Breakdown Structure Create relationships Set baselines Manage resources Set deadlines and task properties Print and report on your project Update and track project schedules Content Creating a new project Project defaults Project start date Setting default hours per day/week Setting daily working times Project timeline Building a project Creating a work breakdown structure Adding tasks and durations Estimated durations Setting milestones Recurring tasks Linking, Baselining and Resourcing Setting start dates and dependencies Task Inspector Resourcing Assigning resources Filtering available resources Baseline Setting a baseline Removing a baseline Managing resources Resource properties Dealing with over allocations Tasking information Constraint dates Setting deadline Assigning task specific calendars Task types Updating your project Completing work Completing work per resource Updating tasks Updating the project Rescheduling work Change highlighting Printing and reporting Setup and Printing Visual reports Using the Timeline Creating Dashboard reports

A place for bass players to hang out and learn in Central London.

Duration 3 Days 18 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner/Team Lead/Power User Developer Development Consultant Program/Project Manager Solution Architect Technology Consultant Overview This course will prepare you to: Understand the SAP Cloud Solution Understand the SAP Cloud Strategy Understand Java Development Understand development in SAP Cloud Classify and use the various Cloud Platform services Understand the various CP Services Explore the Internet of things Get an overview of SAP Cloud Platform, integration Service Understand Extensions of SAP Cloud Solutions This course will introduce and inform you about the vast potential of SAP Cloud Platform with hands-on exercises to dive into this open platform. SAP Cloud Platform, Introduction Introduce SAP Cloud Platform (SAP CP) Explain Landscape Architecture-Relevant Terms Learn about typical Use cases Explore What is in it: Product Capabilities and Services Platform Concepts Understand Basic Platform Concepts Explore Datacenters Understand Security Digital Transformation - Java Development Introduce Digital Transformation, Java Development Explore 12 Factor Microservices Use the Supported Java Development Environment Explain Supported Java Programming Models by CF Operate Java Applications on SAP Cloud Platform NEO Digital Transformation ? SAP HANA Development Understand SAP HANA Development Understand the SAP HANA XSA Development on CF Digital Transformation ? HTML5/SAPUI5/Fiori Development Introduce HTML5, SAPUI5, and Fiori Development Use SAP UI5 Use SAP Fiori Agile Business ? Extend Application Introduce Agile Business Understand the Application Frontend x-tend the Application: Backend Explore SAP Cloud Platform Data and Storage Services Enterprise Optimization ? Integration Services Introduce Enterprise Optimization, Integration Services Explore Available Integration Services Enterprise Optimization ? Process Integration Introduce SAP Cloud Platform, Integration Service Implement iFlows Enterprise Optimization ? API Explain API Management Build and Publish APIs Internet of Things Services (IoT) Explore the Internet of Things (IoT) Other Interesting Services and Features Explain SAP Cloud Platform SaaS Extensions Explore SAP Cloud Platform Business Services Explain Cloud Platform Data and Storage Understand SAP Cloud Platform Security

TOPOGRAPHICAL MAP ROUTE PLANNING TRAINING You will use the appropriate software to learn how to plan map routes. We will train you on the routes that you will most likely be tested on in your assessment. Most of our training is provided one to one, so as to give you our undivided attention and prepare you to the best of your ability, thereby giving you the best chance of passing this test. TOPOGRAPHICAL MOCK TEST We will provide you with topographical multiple choice questions mock test based on the actual test questions, to best prepare you. You will use the actual ’Master Atlas of Greater London’ which TfL uses in their test, to best prepare you to answers the multiple choice questions.

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