355 Analytics courses in Soham delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for This is an Intermediate and beyond-level Tableau course geared for experienced Tableau users who wish to leverage Tableau's more advanced capabilities. Overview This skills-focused course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert facilitator, students will learn how to: Understand what data works best with Tableau Desktop and how to shape and clean it appropriately to get Learn how to maximize flexibility from Tableau Desktop. Learn how Tableau Prep folds into the analytic cycle, and when to prep data in Tableau Prep vs. Tableau Desktop. Understand the terminology used in Tableau Prep. Know how Tableau Prep approaches data sampling. Create and understand data prep flows that address common scenarios encountered in data preparation, as applied to common data use cases Know how to view data prepared in Tableau Prep using Tableau Desktop. Understand data exploration and validation in Tableau Prep and Tableau Desktop. Geared for experienced Tableau Users, Tableau Prep Building (Tableau Data Prep) for Experienced Users is a two-day hands-on course designed to provide you with the tools and knowledge of how to prepare and shape data in Tableau Prep. It?s best suited for people who have 3-6 months experience in Tableau Desktop and are somewhat familiar with writing calculations. Throughout the course, our instructors will take you from conceptual data preparation material to creating useful Tableau Prep flows that can be output to Tableau Desktop for analysisNOTE: The Tableau Training Series is independent-format training that can be tuned and adjusted to best meet your needs. Our materials are flexible, comprehensive, and are always instructed by a senior instructor with a deep understanding of Tableau and its most current features, benefits and functionality in a wide array of uses. This is not Official Tableau Training. Course Outline Introduction to the workspace Introduction to the workflow Data literacy concepts Connecting to and configuring data Exploring data Cleaning data Preferred data structures in Tableau Shaping data Combining data Opening a data sample and creating an output file Best practices for data preparation Complex flows Starting with a question Hands-on data preparation Additional course details: Nexus Humans Tableau Prep Building (Tableau Data Prep) for Experienced Users (TTDTAB010) 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 Tableau Prep Building (Tableau Data Prep) for Experienced Users (TTDTAB010) 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.

Better Business Cases™ Practitioner: Virtual In-House Training Better Business Cases™ is based on the Five Case Model - which is the UK government's best practice approach to structuring spending proposals and making effective business decisions. Using this best-practice approach will allow organizations to reduce unnecessary spending and improve the decision-making process which gives you a greater chance of securing necessary funding and support for initiatives. The goal of the practitioner course is to develop a candidate's ability to deliver a comprehensive business case, through encouraging expanded knowledge to guide the practical application of theoretical foundations. Upon the completion of this Practitioner course, a candidate will be able to start applying the model to a real business case development project. What You Will Learn At the end of this program, you will be able to: Develop the lifecycle of a business case and to establish the relationships between the five cases Apply the steps in the business case development framework, in order to support the production of a business case, using the Five Case Model, for a given scenario Overview of Better Business Cases Alignment with the strategic planning process Importance of the Business Case using the Five Case Model Overview of the Five Case Model Purpose of the key stages in the development of a spending proposal Purpose of a Business Justification Case Business Case Development Process Purpose of project / programme assurance and assurance reviews Responsibility for producing the Business Case Determining the Strategic Context and Undertaking the Strategic Assessment Scoping the Scheme and Preparing the Strategic Outline Case Planning the Scheme and Preparing the Outline Business Case Procuring the Solution and Preparing the Full Business Case Implementation and monitoring Evaluation and feedback Making the Case for Change Agree on the strategic context Determine spending objectives, existing arrangements, and business needs Determine potential business scope and key service requirements Determine benefits, risks, constraint, and dependencies Exploring the Preferred Way Forward Agree on critical success factors Determine long list options and SWOT analysis Recommend a preferred way forward Determining Potential Value for Money Revisit the short list Prepare the economic appraisal for short-listed options Undertake benefits appraisal Undertake risk appraisal Select preferred option and undertake sensitivity analysis Preparing for the Potential Deal Determine the procurement strategy Determine service streams and required outputs Outline potential risk apportionment Outline potential payment mechanisms Ascertain contractual issues and accountancy treatment Ascertaining Affordability and Funding Requirement Prepare the financial model Prepare the financial appraisals Planning for Successful Delivery Plan programme / project management Plan change and contract management Plan benefits realization Plan risk management Plan programme / project assurance and post project evaluation Procuring the Value for Money Solution Revisit the case for change Revisit the OBC options Detail procurement process and evaluation of best and final offers (BAFOs) Contracting for the Deal Set out the negotiated deal and contractual arrangements Set out the financial implications of the deal Ensuring Successful Delivery Finalize project management arrangements and plans Finalize change management arrangements and plans Finalize benefits realization arrangements and plans Finalize risk management arrangements and plans Finalize contract management arrangements and plans Finalize post-project evaluation arrangements and plans

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, and Business Process Owners/Team Leads/Power Users. In this course, students are enabled to transform Excel workbooks into captivating dashboards for executives and business users. Introduction to Dashboards Creating Interactive Dashboards Using an Embedded Excel Workbook in the Dashboard Data Visualizations with Charts Using Data in a Range Using Data in a Series Preparing Future Data by Ignoring End Blanks Dashboard Distribution Distributing a Dashboard Single Value Components Using Single Value Components Alerts Setting Up Alerts Selectors Using Selectors Setting Default Values for Selectors Selecting Multiple Items Common Components Using Images in a Dashboard Using Tables in a Dashboard Using an Interactive Calendar in a Dashboard Adding a URL to a Dashboard Components Used as Selectors Using the Chart Component as a Selector Using the Map Component as a Selector Format Options Configuring Proportional Size and Position Using Themes to Apply Formats Using Templates to Apply Formats Applying Globalization Dynamic Visability Adding Dynamic Visibility Using Formulas to Create Dynamic Visibility Creating Multi-Layer Dashboards Dashboard Design Optimization Optimizing Dashboard Design Dashboard Connection to Live Data Using Live Data Sources Setting Up an XML Connection Using Web Services to Connect to Data Using the Query Browser to Connect to Data Using the Portal Data Connection to Connect to Data Additional course details: Nexus Humans BOX310 SAP BusinessObjects Dashboards 4.1 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 BOX310 SAP BusinessObjects Dashboards 4.1 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 This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 5 Days 30 CPD hours This course is intended for This course is intended for Database Administrators, Database Developers, BI professionals, and Business reporting users. Overview Upon successful completion of this course, students will be able to run Queries and retrieve results, perform conditional searches, and retrieve data from multiple tables. Before starting this course, make sure you meet at least one of the following prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality. Basic working knowledge of Relational Databases. In this course, students will gain a good understanding of the Transact-SQL language. They will be able to create queries, sort, filter the data, execute procedures with T-SQL. Course Outline 1.Introduction to Microsoft SQL Server 2.Introduction to T-SQL Querying 3.Writing SELECT Queries 4.Querying Multiple Tables 5.Sorting and Filtering Data 6.Working with SQL Server Data Types 7.Using DML to Modify Data 8.Using Built-In Functions 9.Grouping and Aggregating Data 10.Using Subqueries 11.Using Table Expressions 12.Using Set Operators 13.Using Windows Ranking, Offset, and Aggregate Functions 14.Pivoting and Grouping Sets 15.Executing Stored Procedures 16.Programming with T-SQL

Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes professionals who are new to Looker who are interested in leveraging Looker for data analysis, visualization, and reporting. The course is designed for individuals seeking to gain a comprehensive understanding of Looker's functionalities and apply these skills in their organizations to drive data-driven decision-making. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore and gain: Solid foundation in Looker's platform: Acquire a comprehensive understanding of Looker's key features, functionality, and interface, enabling you to effectively utilize the platform for your data analysis and visualization needs. Proficiency in LookML and data modeling: Develop essential skills in Looker's unique data modeling language, LookML, to create efficient and customized data models tailored to your organization's specific requirements. Expertise in creating Explores: Learn how to build, customize, and save Explores with dimensions, measures, filters, and calculated fields, empowering you to analyze your data and uncover valuable insights in a short amount of time. Mastery of dashboard design and visualization: Gain the skills to design visually appealing and informative dashboards, create various types of visualizations, and customize them to effectively communicate your data story. Improved content organization with folders and boards: Understand how to effectively use folders and boards in Looker to organize, manage, and discover content, making your data insights easily accessible for you and your team. Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker is a one day, hands-on course designed to equip professionals from a variety of backgrounds with the knowledge and skills needed to harness the full potential of their data using Looker's powerful platform. With the guidance of our expert trainers, you will gain a basic understanding of Looker's features, enabling you to create visually engaging, interactive, and insightful reports and dashboards to drive informed decision-making. Throughout this interactive workshop, you will explore Looker's key functionalities, including connecting to data sources, mastering LookML, building custom Explores, and designing captivating dashboards. With about 40% of the course dedicated to hands-on labs and a guided project, you will have ample opportunity to apply the skills you've learned in real world scenarios. Don't miss this opportunity to elevate your data analysis and visualization capabilities, enhance your professional skill set, and unlock the power of data-driven decision making. Getting Started with Looker Overview of Looker and its key features Navigating the Looker interface Connecting to Data Sources and LookML Basics Setting up and managing data connections Exploring database schemas Understanding LookML: Looker's data modeling language Creating and Customizing Explores Building and customizing Explores Adding dimensions, measures, and filters Creating calculated fields Data Visualization and Dashboard Design Creating visualizations using Looker's visualization library Customizing chart types, colors, and labels Displaying visualizations in dashboards Organizing Content with Folders and Boards Introduction to folders and boards in Looker Creating and managing folders for organizing content Setting up boards for easy content discovery Hands-on Workshop and Project Participants work on a guided project to apply the skills learned Wrap-up and Q&A Additional course details: Nexus Humans Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker (TTDVLK01) 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 Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker (TTDVLK01) 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 2.25 Days 13.5 CPD hours This course is intended for The job roles best suited to the material in this course are: sales personnel, accountants, administrators, auditors, lab assistants, office job positions. Overview Work with functions. Work with lists. Analyze data. Visualize data with charts. Use PivotTables and PivotCharts. Work with multiple worksheets and workbooks. Share and protect workbooks. Automate workbook functionality. Use Lookup functions and formula auditing. Forecast data. Create sparklines and map data This course provides the knowledge to create advanced workbooks and worksheets that can deepen the understanding of organizational intelligence. The ability to analyze massive amounts of data, extract actionable information from it and present that information to decision makers. In addition this course will give you the ability to collaborate with colleagues, automate complex or repetitive tasks and use conditional logic to construct and apply elaborate formulas and functions which will allow you to work through a lot of data and generate the answers that your organisation needs. WORKING WITH FUNCTIONS Topic A: Work with Ranges Topic B: Use Specialized Functions Topic C: Work with Logical Functions Topic D: Work with Date and Time Functions Topic E: Work with Text Functions WORKING WITH LISTS Topic A: Sort Data Topic B: Filter Data Topic C: Query Data with Database Functions Topic D: Outline and Subtotal Data ANALYZING DATA Topic A: Create and Modify Tables Topic B: Apply Intermediate Conditional Formatting Topic C: Apply Advanced Conditional Formatting VISUALIZING DATA WITH CHARTS Topic A: Create Charts Topic B: Modify and Format Charts Topic C: Use Advanced Chart Features USING PIVOTTABLES AND PIVOTCHARTS Topic A: Create a PivotTable Topic B: Analyze PivotTable Data Topic C: Present Data with PivotCharts Topic D: Filter Data by Using Timelines and Slicers WORKING WITH MULTIPLE WORKSHEETS AND WORKBOOKS Topic A: Use Links and External References Topic B: Use 3-D References Topic C: Consolidate Data SHARING AND PROTECTING WORKBOOKS Topic A: Collaborate on a Workbook Topic B: Protect Worksheets and Workbooks AUTOMATING WORKBOOK FUNCTIONALITY Topic A: Apply Data Validation Topic B: Search for Invalid Data and Formulas with Errors Topic C: Work with Macros USING LOOKUP FUNCTIONS AND FORMULAS AUDITING Topic A: Use Lookup Functions Topic B: Trace Cells Topic C: Watch and Evaluate Formulas FORECASTING DATA Topic A: Determine Potential Outcomes Using Data Tables Topic B: Determine Potential Outcomes Using Scenarios Topic C: Use the Goal Seek Feature Topic D: Forecast Data Trends CREATING SPARKLINES AND MAPPING DATA Topic A: Create Sparklines Topic B: Map Data