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Half Term Trial of a 6 week Creative Writing Course for students preparing for the 11+ and 13+ exams. Agenda What the 6 week Course could Resemble: Writing Stems + Vocab focus Time allocation + prompt practise: planning, writing, uplevelling Story Structure: clear, connected, and good flow Scene description: descriptive and narrative writing Drawing creativity from uninspiring writing prompts Final writing piece Our Creative Writing course, running for six weeks, will explore the art of storytelling in depth. Is your child a budding writer aiming to excel in 11+ or 13+ exams in the UK? Our Creative Writing course is designed just for them Over six weeks, we'll delve into the art of storytelling, focusing on creating pieces that set your child apart and building essential exam skills. From mastering the nuances of the five senses to paragraph and story structure, our expert exam tutor, Kristen, will guide students every step of the way. We'll help your child answer those seemingly boring questions with enthusiasm, explore figures of speech, enrich vocabulary, and unleash their creative potential. This will be the perfect course to learn about exam skills for 11+ and 13+ creative writing tasks! Tags Online Events Things To Do Online Online Classes Online Family & Education Classes #tutoring #creativewriting #writingworkshop #writing_workshop #creative_writing #writing_group #english_class #writing_skills #english_online #english_course

Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview Identify independent and dependent variables and measurement levels in their own analytical work scenarios. Identify variables of interest in relational database tables. Choose a data aggregation level and data set design appropriate for the intended analysis and tool. Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. Create stored procedures, views, and functions to modularize data retrieval code. This three-day instructor-led course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. Specifically, this course presents TSQL within the context of data analysis in other words, making meaning from the data rather than transaction-oriented data-tier application development. The course starts with a brief discussion of levels of measurement and quantitative research methodogy, and integrates these concepts into each TSQL topic presented. The goal is to provide a consistent, direct, and purposeful learning path from RDBMS data retrieval through analytical tools such as SQL Server Reporting Services, PowerBI, Excel, R, SAS, and SPSS. Module 1: Introduction to TSQL for Business Intelligence Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Module 2: Turning Table Columns into Variables for Analysis: SELECT List Expressions, WHERE, and ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Module 3: Combining Columns from Multiple Tables into a Single Dataset: The JOIN Operators Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSSJOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNERJOIN Understanding Joins, Part 3: The OUTERJOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTERJOINs Combining JOIN Operations with WHERE and ORDER BY Module 4: Creating an Appropriate Aggregation Level Using GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Module 5: Subqueries, Derived Tables and Common Table Expressions Non-correlated and correlated subqueries Derived tables Common table expressions Module 6: Encapsulating Data Retrieval Logic Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Module 7: Getting Your Dataset to the Client Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Additional course details: Nexus Humans Writing Analytical Queries for Business Intelligence 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 Writing Analytical Queries for Business Intelligence 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.

This one-day workshop is designed to enhance your PowerPoint skills to achieve dynamic presentations that work with you, making it easier to deliver a polished, professional presentation. You will learn advanced PowerPoint skills that will save you time and elevate your presentations. This course will help participants: Create custom shows to personalise presentations for individual clients Make the Slide Master work collectively with slide layouts and themes Seamlessly interact with external content using links Work with advanced animations and transitions, and video/audio tools 1 Themes and Masters Add a Design theme to a presentation Make changes to the Slide Master Delete layouts from the slide master Saving a slide master with themes as a template 2 Advanced graphics and diagrams Drawing, duplicating and resizing shapes Grouping, aligning and stacking shapes and graphics Using SmartArt for diagrams and organisation charts 3 Graphs and charts Inserting and formatting a chart Linking an Excel chart to a slide Linking Excel tables to a slide Animating charts 4 Video, Custom animation and Hyperlinks Adding and editing video Animating pictures and drawings Hyperlink to another Slide or Website Compressing and optimising media 5 Presenting Reuse slides Hide slides Rehearsing timings Enabling a presentation to run continuously

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who know how to create basic list and group reports and need to create reports that include subreports, cross-tabs, advanced formulas, and charts based on more than one data series. They may also need to build tools that make it easier for other people to create reports. They may or may not have programming and/or SQL experience. Overview In this course, you will create complex reports using tools in Crystal Reports 2016. You will: Create automatic and manual running totals. Work with cross-tab reports. Add subreports. Create drill-downs in a report. Use SQL statements in report processing. Create complex formulas. Add charts to reports. Enhance report functionality. In this course, students will create complex reports & data sources using the tools in Crystal Reports 2016. Students will not only create more complex reports including sub-reports and cross-tabs, but will also increase their speed and efficiency. 1 - CREATING RUNNING TOTALS Topic A: Create a Running Total Field Topic B: Modify a Running Total Field Topic C: Create a Manual Running Total 2 - WORKING WITH CROSS-TABS Topic A: Create a Cross-Tab Report Topic B: Format a Cross-Tab Report Topic C: Create Groups in Cross-Tab Reports 3 - ADDING SUBREPORTS Topic A: Insert a Subreport Topic B: Edit a Subreport Topic C: Share Variables 4 - CREATING DRILL-DOWNS IN A REPORT Topic A: Create a Drill-Down Topic B: Create Headings for Drill-Down Data 5 - USING SQL STATEMENTS IN REPORT PROCESSING Topic A: Create a Report Using SQL Queries Topic B: Summarize Report Data Topic C: Create Joins Using SQL Topic D: Create Subqueries Topic E: Create an SQL Expression Field 6 - CREATING COMPLEX FORMULAS Topic A: Work with Loops Topic B: Work with Arrays 7 - ADDING CHARTS TO REPORTS Topic A: Create Charts Topic B: Create a Chart with Drill-Down Topic C: Create a Top N Chart Topic D: Create a Cross-Tab Chart Topic E: Create Charts for Grouped Data Topic F: Format a Chart Topic G: Create a Chart Template 8 - ENHANCING REPORT FUNCTIONALITY Topic A: Organize Data Based on a Hierarchy Topic B: Create a Dynamic Image Topic C: Create a Report Alert Topic D: Create a Geographic Map 9 - APPENDIX Appendix A: Managing Reports Appendix B: Processing Data on the Server Appendix C: Detecting and Fixing Problems

Duration 3 Days 18 CPD hours This course is intended for The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data. Overview After completing this course, students will be able to: ? Perform Power BI desktop data transformation. ? Describe Power BI desktop modelling. ? Create a Power BI desktop visualization. ? Implement the Power BI service. ? Describe how to connect to Excel data. ? Describe how to collaborate with Power BI data. ? Connect directly to data stores. ? Describe the Power BI developer API. ? Describe the Power BI mobile app. The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App. Introduction to Self-Service BI Solutions Introduction to business intelligence Introduction to data analysis Introduction to data visualization Overview of self-service BI Considerations for self-service BI Microsoft tools for self-service BI Lab : Exploring an Enterprise BI solution Introducing Power BI Power BI The Power BI service Lab : Creating a Power BI dashboard Power BI Using Excel as a data source for Power BI The Power BI data model Using databases as a data source for Power BI The Power BI service Lab : Importing data into Power BI Shaping and Combining Data Power BI desktop queries Shaping data Combining data Lab : Shaping and combining data Modelling data Relationships DAX queries Calculations and measures Lab : Modelling Data Interactive Data Visualizations Creating Power BI reports Managing a Power BI solution Lab : Creating a Power BI report Direct Connectivity Cloud data Connecting to analysis services Lab : Direct Connectivity Developer API The developer API Custom visuals Lab : Using the developer API Power BI mobile app The Power BI mobile app Using the Power BI mobile app Power BI embedded

Duration 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports. Overview Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets? Lesson 1: Exploring Tableau Reports Topic A: Data Analysis Workflow with Tableau Topic B: Explore Views Topic C: Edit Workbooks Lesson 2: Analyzing Data to Get Answers and Insights Topic A: Configure Marks with the Marks Card Topic B: Ask New Questions by Changing Aggregation Topic C: Find Answers with Calculations Topic D: Answer Questions with Table Calculations Lesson 3: Sorting and Grouping Data for Analysis and Reporting Topic A: Sort Data Topic B: Group Data Lesson 4: Filtering Views Topic A: Filter Data to Refine Analysis Topic B: Create Interactive Filters for Reports Lesson 5: Preparing Reports Topic A: Format and Annotate Views to Tell Your Story Topic B: Emphasize Data in Reports Topic C: Animate Visualizations for Clarity Lesson 6: Troubleshooting, Sharing, and Collaborating Topic A: Troubleshoot Data Issues Topic B: Collaborate in Tableau Online Topic C: Collaborate with Non-Tableau Users

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Our GMAT preparation courses are tailored to help you excel in all sections of the exam—Quantitative, Verbal, Integrated Reasoning, and Analytical Writing. We offer long-term, short-term, and intensive course options to suit your schedule and preparation needs. Whether you're a beginner or looking to refine your skills, our programs are designed for all levels. To get started, we provide a free consultation with one of our GMAT experts to discuss your goals, along with an assessment test to gauge your current level. Master the GMAT with personalised strategies and expert guidance. The Graduate Management Admission Test Preparation Intensive Course - Score-boosting methods in data sufficiency and critical reasoning show you how to think like the test. - 5 full-length, computer-based practice tests - 2,000+ practice questions (including Qbank) The Graduate Management Admission Test Preparation Intensive Course - Score-boosting methods in data sufficiency and critical reasoning show you how to think like the test. - 9 full-length, computer-based practice tests - 5,000+ practice questions (including Qbank)

This course starts with the basics then moves seamlessly to an intermediate level. It includes a comprehensive yet balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to use the online Power BI service. It looks at authoring tools that enables you to connect to and transform data from a variety of sources, allowing you to produce dynamic reports using a library of visualisations. Once you have those reports, the course looks at the seamless process of sharing those with your colleagues by publishing to the online Power BI service. The aim of this course is to provide a strong understanding of the Power BI analysis process, by working with real-world examples that will equip you with the necessary skills to start applying your knowledge straight away. 1 Getting started The Power BI process Launching Power BI Desktop The four views of Power BI Dashboard visuals 2 Connecting to files Connect to data sources Connect to an Excel file Connect to a CSV file Connect to a database Import vs. DirectQuery Connect to a web source Create a data table 3 Transforming data The process of cleaning data Column data types Remove rows with filters Add a custom column Append data to a table Fix error issues Basic maths operations 4 Build a data model Table relationships Manage table relationships 5 Merge queries Table join kinds Merging tables 6 Create report visualisations Creating map visuals Formatting maps Creating chart visuals Formatting chart Tables, matrixes, and cards Control formatting with themes Filter reports with slicers Reports for mobile devices Custom online visuals Export report data to Excel 7 The power query editor Fill data up and down Split columns by delimiter Add conditional columns Merging columns 8 The M formula Creating M functions Create an IF function Create a query group 9 Pivot and unpivot tables Pivot tables in the query editor Pivot and append tables Pivot but don't summarise Unpivot tables Append mismatched headers 10 Data modelling revisited Data model relationships Mark a calendar as a date table 11 Introduction to calculated columns New columns vs. measures Creating a new column calculation The SWITCH function 12 Introduction to DAX measures Common measure categories The SUM measure Adding measures to visuals COUNTROWS and DISINCTCOUNT functions DAX rules 13 The CALCULATE measure The syntax of CALCULATE Things of note about CALCULATE 14 The SUMX measure The SUMX measure X iterator functions Anatomy of SUMX 15 Introduction to time intelligence Importance of a calendar table A special lookup table The TOTALYTD measure Change year end in TOTALYTD 16 Hierarchy, groups and formatting Create a hierarchy to drill data Compare data in groups Add conditional formatting 17 Share reports on the web Publish to the BI online service Get quick insights Upload reports from BI service Exporting report data What is Q&A? Sharing your reports 18 Apply your learning Post training recap lesson