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An in depth look at Pivot Tables and their powerful features to summarise and visualize your data. Course overview Duration: 1 day (6.5 hours) Our Excel – Pivot Table Specialist course is a comprehensive guide to working with Pivot Tables for those who need to learn more about the use of Pivot Tables to summarise and analyse information. This course is designed for existing experienced users of Excel. You should be a confident Excel user and be able to create and edit worksheets and write basic formulas. Objectives By the end of the course you will be able to: Build and customise Pivot Tables Group and sort information Filter information Use slicers and the timeline filter Add different summary calculations Create Pivot Charts Add calculated fields and items Content The anatomy of a Pivot Table Using a Pivot Cache Building a Pivot Table The Pivot Table interface Refreshing the Pivot Table Adding column, row, page and data fields Changing data orientation Showing data fields in columns or rows Drilling down to underlying data Setting Pivot Table options Format options Totals and filters options Display and printing options Data options Customising Pivot Tables Modifying field names Data formatting Changing field layout options Changing summary calculations Working with subtotals Filtering and sorting Filtering items Sorting data Value and label filters Creating top 10 reports Using the Search filter Using the Slicer tool Use the Timeline filter Grouping Grouping date fields Grouping numeric fields Adding your own groups Summary calculations Running totals Differences year on year, month on month % Differences year on year, month on month % of Row, Column, Total and other fields Pivot charts Pivot Chart rules Creating a Pivot Chart Working with your Pivot Chart Creating calculations Adding calculated fields Adding calculated items

Duration 2 Days 12 CPD hours This course is intended for The primary audiences for the course are as follows: Cisco customers ? Contact Center Management, Contact Center Supervisors and Customer technical personnel Cisco technology partners Cisco employees Overview Upon completing this course, the learner will be able to meet these overall objectives: Provide a comprehensive overview of Cisco Unified Intelligence Center Describe reporting concepts and capabilities and features of Cisco Unified Intelligence Center reports Provide a detailed description and labs of how to modify reports from normal data sources (Cisco Unified CCE and Cisco Unified CVP) by customizing reports using various methods. (i.e. creating thresholds, show/hide columns, charts and more) The Cisco Unified Intelligence Center 11.6 for End Users (CUIC11.6EU v1.1) course is a two-day instructor-led training (ILT) course. Cisco Unified Intelligence Center is a comprehensive, end-to-end reporting solution, designed to make the task of creating and modifying reports easier on the customer and, at the same time, to present a consistent user interface and a common tool to access varied data across multiple Cisco product families. Cisco Unified Intelligence Center Overview Introducing Cisco Unified Intelligence Center What Contact Center products use CUIC for reporting Cisco Unified Intelligence Center Administration and Security The End User and CUIC Security Running and Modifying CUIC Reports Running Cisco Unified Intelligence Center Reports Using Permalinks Help Dashboards Modifying a CUIC Stock Report Cisco Unified Intelligence Center Dashboards Understanding Cisco Unified CCE Key Concepts Creating a New Cisco Unified Intelligence Center Report

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for anyone who wants to create applications or modules to automate and simplify common tasks with Perl. Overview Working within in an engaging, hands-on learning environment, guided by our expert web development, PHP practitioner, students will learn to: Create a working script that gets input from the command line, the keyboard, or a file Use arrays to store and process data from files Create formatted reports Use regular expressions Use the appropriate types of variables and data structures Refactor duplicate code into subroutines and modules What is available in the standard library Use shortcuts and defaults, and what they replace Introduction to Perl Programming Essentials is an Introductory-level practical, hands-on Perl scripting training course that guides the students from the basics of writing and running Perl scripts to using more advanced features such as file operations, report writing, the use of regular expressions, working with binary data files, and using the extensive functionality of the standard Perl library. Students will immediately be able to use Perl to complete tasks in the real world. Session: An Overview of Perl What is Perl? Perl is compiled and interpreted Perl Advantages and Disadvantages Downloading and Installing Perl Which version of Perl Getting Help Session: Creating and running Perl Programs Structure of a Perl program Running a Perl script Checking syntax and warnings Execution of scripts under Unix and Windows Session: Basic Data and I/O Numeric and Text literals Math operators and expressions Scalar variables Default values Writing to standard output Command line arguments Reading from the standard input Session: Logic and Loops About flow control The if statement and Boolean values Using unless and elsif Statement modifiers warn() and die() The conditional construct Using while loop and its variants Using the for loop Exiting from loops Session: Lists and Arrays The list data type Accessing array elements Creating arrays List interpolation Arrays and memory Counting elements Iterating through an array List evaluation Slices and ranges Session: Reading and writing text files File I/O Overview Opening a file Reading text files Writing to a text file Arrays and file I/O Using the <> operator Session: List functions Growing and shrinking arrays The split() function Splitting on whitespace Assigning to literal lists The join() function The sort() function Alternate sort keys Reversing an array Session: Formatting output Using sprintf() and printf() Report formatting overview Defining report formats The write() function Advanced filehandle magic Session: Hashes Hash overview Creating hashes Hash attributes Traversing a hash Testing for existence of elements Deleting hash elements Session: References What is a reference? The two ways to create references References to existing data References to anonymous data Dereferencing scalar, array, and ash references Dereferencing elements of arrays and hashes Multidimensional arrays and other data structures Session: Text and Regular Expressions String length The substr() function The index() and rindex() functions String replication Pattern matching and substitution Regular expressions Session: Raw file and data access Opening and closing raw (binary) files Reading raw data Using seek() and tell() Writing raw data Raw data manipulation with pack() and unpack() Session: Subroutines and variable scope Understanding packages Package and Lexical variables Localizing builtin variables Declaring and calling subroutines Calling subroutines Passing parameters and returning values Session: Working with the operating system Determining current OS Environment variables Running external programs User identification Trapping signals File test operators Working with files Time of day Session: Shortcuts and defaults Understanding $_ shift() with no array specified Text file processing Using grep() and Using map() Command-line options for file processing Session: Data wrangling Quoting in Perl Evaluating arrays Understanding qw( ) Getting more out of the <> operator Read ranges of lines Using m//g in scalar context The /o modifier Working with embedded newlines Making REs more readable Perl data conversion Session: Using the Perl Library The Perl library Old-style library files Perl modules Modules bundled with Perl A selection of modules Getting modules from ActiveState Getting modules from CPAN Using Getopt::Long Session: Some Useful Tools Sending and receiving files with Net::FTP Using File::Find to search for files and directories Grabbing a Web page Some good places to find scripts Perl man pages for more information Zipping and unzipping files

Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT professionals who will be responsible for the support of guests and other virtual machines running in the z/VM environment. It assumes that these persons will have little or no experience in the z/VM environment. Additionally anyone responsible for installing, customizing, and maintaining Linux on System z. Overview Describe the process of running guests under z/VM Define virtual machines to z/VM and reload the directory Customize the CP component of the z/VM system Customize the TCP/IP files on z/VM Apply service to the z/VM system Install SUSE Linux on System z Install additional packages Describe zLinux system management process Describe zLinux backup and recovery procedures Manage and update zLinux network connectivity issues Implement the z/VM Performance Toolkit Prerequisite to z/VM and Linux Connectivity and Management (ZV100) Prerequisite to z/VM RACF and DirMaint Implementation (ZV200) Introduces system programmers to the tasks required to support a z/VM operating system; providing an overview of the processes required to install z/VM & perform the required tailoring steps to support guest operating system virtual machines & CMS users. z/VM and zLinux overview . Installation . Directory . CP system configuration . z/VM networking . VMSES/E . Installing SUSE Linux on System z . Installing additional packages . Network connectivity . System management . Backup and recovery . z/VM Performance Toolkit configuration .

Duration 3 Days 18 CPD hours This course is intended for This lecture and exercise-based course is for individuals who want to understand how to install, configure, and manage an IBM Spectrum Scale storage cluster. Overview After completing this course, you should be able to: Summarize the key features of IBM Spectrum Scale Describe IBM ESS and Spectrum Scale RAID Install IBM Spectrum Scale and configure a cluster Manage a cluster Implement information lifecycle management (ILM) Configure IBM Spectrum Scale high availability features Back up critical cluster data This course is intended for IT professionals tasked with administering an IBM Spectrum Scale storage cluster in environments running Linux and AIX nodes. The course includes information on installing, configuring, and monitoring an IBM Spectrum Scale cluster. Many Spectrum Scale features are described in lecture materials and then implemented in lab exercises. These features include: Storage management, high availability options, cluster management, and information lifecycle management (ILM) tools. Note: Although the lab environment is running the Linux operating system, the differences in Spectrum Scale compared with an AIX environment are minor. Therefore, the skills acquired during the course can be applied in both Linux and AIX environments. Welcome and course overview Unit 1 - IBM Spectrum Scale overview Exercise 1 - Cluster node preparation Unit 2 - Installation and cluster configuration Exercise 2 - Installation and cluster configuration Unit 3 - Cluster management Exercise 3 - Cluster management and configuration Unit 4 - Information Lifecycle Management (ILM) Exercise 4 - Storage pools, filesets, and policies Unit 5 - High availability and cluster data backups Exercise 5 - Replication and snapshots Course wrap-up and evaluation

Duration 1 Days 6 CPD hours Companies are increasingly integrating Mac computers into Windows or other standards-based network environments. This Mac Integration Basics course examines how to best use a Mac(s) in an organization that predominantly functions with a Microsoft Windows operating system and Windows Servers. This course is also ideal for users who need to replace a Windows computer with a Mac and for IT professionals who support Mac users Directory Services Connecting a Mac to a Directory Server Using Network Account File Sharing Connecting to File Servers Turning on Personal File Sharing Email, Contacts, and Calendars Managing Internet Accounts Preferences Connecting to an Exchange Server Connecting Mail to Non-Windows Servers Adding Accounts in Mail, Contacts, and Calendars Security Built-in Security Features Creating Strong Passwords Using Two-factor Authentication Setting a Firmware Password Locking a Mac Screen Creating User Accounts Disabling Automatic Login Protecting Start-up Disk Files Ensuring that the Apps you Download are Safe Providing Network Security Printing Connecting to a Local Printer Setting up a Wireless Printer Sharing your Printer Setting up a Printer Shared by a Mac and a PC via SMB or CIFS Setting up an IP Printer Specifying Printer Features Printing from a Network Printer Instant Messaging iMessage Jabber Configuring Messages Adding Accounts Chatting on a local network with Bonjour Moving and Backing Up Content Moving Content Backing up Data with Time Machine Running Windows on a Mac Running Windows Natively or Virtually Using Office Using Cross-platform Apps Using Cross-platform Files

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.

Overview Knowledge of how to prepare and submit VAT Return can help you to stand out from the crowd of job seekers. Moreover, if you are running a business or thinking of running a business, the vat training course will help you to understand the issues relating to vat more clearly and help process VAT Return more accurately and efficiently. Our VAT Training courses are eligible CPD Training for accountants and attending this course can give you a more detailed understanding of how to do a VAT return correctly. What is VAT Return? Almost every business has to submit a VAT Return. VAT Return contains Output VAT and Input VAT information to be submitted to Taxman (HMRC). Through the VAT return, HMRC knows exactly how much the business owes to HMRC. Moreover, HMRC can pay back any VAT amount overpaid which only can be determined through an accurate VAT return. How to do VAT Return Firstly, businesses need to register with HMRC before they can process a VAT Return. Businesses must fulfil the criteria to become VAT registered and to get a VAT Registration no. Once the business is registered they can then regularly submit the VAT return using specified VAT forms. There are many VAT Schemes available in general. There are some specialised VAT schemes available only for specific industries. Understanding VAT Principles Analysis of different VAT Scheme Preparing VAT in Spreadsheet Reconciliation of VAT Completing a VAT return Import and Export VAT analysis Calculating VAT for a business with mixed zero-rated and standard-rated sales, using Spreadsheet Introduction of TOMS (Tour Operator Margin Scheme) Submission Steps of VAT Return to HMRC Introduction to Making Tax Digital(VAT) scheme

VAT Accounting, Preparation and Submission Training Course Overview: Knowledge of how to prepare and submit VAT Return can help you to stand out from the crowd of job seekers. Moreover, if you are running a business or thinking of running a business, the vat training course will help you to understand the issues relating to vat more clearly and help process VAT Return more accurately and efficiently. Our VAT Training courses are eligible CPD Training for accountants and attending this course can give you a more detailed understanding of how to do a VAT return correctly. What is VAT Return? Almost every business has to submit a VAT Return. VAT Return contains Output VAT and Input VAT information to be submitted to Taxman (HMRC). Through the VAT return, HMRC knows exactly how much the business owes to HMRC. Moreover, HMRC can pay back any VAT amount overpaid which only can be determined through an accurate VAT return. How to do VAT Return Firstly, businesses need to register with HMRC before they can process a VAT Return. Businesses must fulfil the criteria to become VAT registered and to get a VAT Registration no. Once the business is registered they can then regularly submit the VAT return using specified VAT forms. There are many VAT Schemes available in general. There are some specialised VAT schemes available only for specific industries. Certificate of Attendance Understanding VAT Principles Analysis of different VAT Scheme Preparing VAT in Spreadsheet Reconciliation of VAT Completing a VAT return Import and Export VAT analysis Calculating VAT for a business with mixed zero-rated and standard-rated sales, using Spreadsheet Introduction of TOMS (Tour Operator Margin Scheme) Submission Steps of VAT Return to HMRC Introduction to Making Tax Digital(VAT) scheme

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.