15 Courses in Leeds

Introducing the Dating Profile Helper Package: Crafting an Authentic and Irresistible Online Dating Presence Are you looking to enhance your online dating experience and attract meaningful connections? Miss Date Doctor’s Dating Profile Helper Package offers you expert guidance and support to create a captivating and genuine dating profile that reflects your true self and increases your chances of finding a compatible partner. In today’s digital age, your online dating profile serves as your first impression. Our experienced dating experts are dedicated to helping you stand out in a positive way, guiding you through the process of crafting a profile that effectively showcases your personality, interests, and aspirations. Here’s how the Dating Profile Helper Package can support you: Personalized Consultation: Our dating experts will conduct a personalized consultation to understand your personality, values, and dating goals. Profile Optimization: We’ll assist you in optimizing your profile text, ensuring it effectively communicates who you are and what you’re looking for. Photo Selection: We’ll provide guidance on selecting photos that capture your authentic self and present you in the best light. Creating a Compelling Bio: We’ll help you write a compelling and engaging bio that intrigues potential matches and sparks conversations. Highlighting Your Unique Qualities: Our experts will assist in showcasing your unique qualities, hobbies, and interests that make you stand out. Navigating Online Etiquette: We’ll provide guidance on how to interact with matches, initiate conversations, and maintain engaging communication. Building Confidence: The Dating Profile Helper Package can boost your confidence by providing expert support in creating a profile that accurately represents you. Attracting Compatible Matches: We’ll work towards attracting matches who resonate with your values and are looking for a genuine connection. The Dating Profile Helper Package at Miss Date Doctor is designed to empower you to present your authentic self in the online dating world. Our experienced dating experts provide personalized guidance and practical tips to enhance your online presence and increase your chances of finding meaningful connections. Invest in your dating success and take the first step towards crafting an appealing online dating profile with the Dating Profile Helper Package. Embrace the opportunity to authentically showcase who you are and attract matches that align with your values and aspirations. Let our experts guide you towards a more rewarding and fulfilling online dating experience. Get 6 new photos as a bonus 3 sessions x 1 hour https://relationshipsmdd.com/product/dating-profile-helper/

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Power BI is a powerful data visualisation program that allows businesses to monitor data, analyse trends, and make decisions. This course is designed to provide a solid understanding of the reporting side of Power BI, the dashboards, where administrators, and end users can interact with dynamic visuals that communicates information. This course focuses entirely on the creation and design of visualisations in dashboards, including a range of chart types, engaging maps, and different types of tables. Designing dashboards with KPI's (key performance indicators), heatmaps, flowcharts, sparklines, and compare multiple variables with trendlines. This one-day programme focuses entirely on creating dashboards, by using the many visualisation tools available in Power BI. You will learn to build dynamic, user-friendly interfaces in both Power BI Desktop and Power BI Service. 1 Introduction Power BI ecosystem Things to keep in mind Selecting dashboard colours Importing visuals into Power BI Data sources for your analysis Joining tables in Power BI 2 Working with data Utilising a report theme Table visuals Matrix visuals Drilling into hierarchies Applying static filters Group numbers with lists Group numbers with bins 3 Creating visuals Heatmaps in Power BI Visualising time-intelligence trends Ranking categorical totals Comparing proportions View trends with sparklines 4 Comparing variables Insert key performance indicators (KPI) Visualising trendlines as KPI Forecasting with trendlines Visualising flows with Sankey diagrams Creating a scatter plot 5 Mapping options Map visuals Using a filled map Mapping with latitude and longitude Mapping with ArcGIS or ESRI 6 Creating dashboards High-level dashboard Migration analysis dashboard Adding slicers for filtering Promote interaction with nudge prompts Searching the dashboard with a slicer Creating dynamic labels Highlighting key points on the dashboard Customised visualisation tooltips Syncing slicers across pages 7 Sharing dashboards Setting up and formatting phone views Exporting data Creating PDF files Uploading to the cloud Share dashboards in SharePoint online

There is a lot to learn in Power BI, this course takes a comprehensive look at the fundamentals of analysing data and includes a 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 utilise the online Power BI service. It looks at authoring tools that enable you to connect to and transform data from a variety of sources, allowing you to produce detailed reports through a range of visualisations, in an interactive and dynamic way. It also includes a detailed look at formulas by writing both M functions in Power Query, and DAX functions in Desktop view. This knowledge will allow you to take your reports to the next level. The aim of this course is to provide a complete introduction to understanding the Power BI analysis process, by working hands-on with examples that will equip you with the necessary skills to start applying your learning straight away. 1 Getting Started The Power BI ecosystem Opening Power BI Desktop Power BI's four views Introduction to Dashboards 2 Importing Files Importing data sources Importing an Excel file Importing a CSV file Importing a database Connect to an SQL Server Database Import vs. Direct Query Importing from the web Importing a folder of files Managing file connections 3 Shape Data in the Query Editor The process of shaping data Managing data types Keeping and removing rows Add a custom column Appending tables together Hiding queries in reports Fixing error issues Basic maths operations 4 The Data Model Table relationships Relationship properties 5 Merge Queries Table join kinds Merging tables 6 Inserting Dashboard Visuals Things to keep in mind Inserting maps Formatting Maps Inserting charts Formatting Charts Inserting a tree map Inserting a table, matrix, and card Controlling number formats About report themes Highlighting key points Filter reports with slicers Sync slicers across dashboards Custom web visuals 7 Publish and share Reports Publishing to Power BI service Editing online reports Pinning visuals to a dashboard What is Q&A? Sharing dashboards Exporting reports to PowerPoint Exporting reports as PDF files 8 The Power Query Editor Fill data up and down Split column by delimiter Add a conditional column More custom columns Merging columns 9 The M Functions Inserting text functions Insert an IF function Create a query group 10 Pivoting Tables Pivot a table Pivot and append tables Pivot but don't aggregate Unpivot tables Append mismatched headers 11 Data Modelling Expanded Understanding relationships Mark a date table 12 DAX New Columns New columns and measures New column calculations Insert a SWITCH function 13 Introduction to DAX Measures Common measure functions Insert a SUM function Insert a COUNTROWS function Insert a DISTINCTCOUNT function Insert a DIVIDE function DAX rules 14 The CALCULATE Measure The syntax of CALCULATE Insert a CALCULATE function Control field summarisation Things of note 15 The SUMX measure X iterator functions Anatomy of SUMX Insert a SUMX function When to use X functions 16 Time Intelligence Measures Importance of a calendar table Insert a TOTALYTD function Change financial year end date Comparing historical data Insert a DATEADD function 17 Hierarchies and Groups Mine data using hierarchies Compare data in groups

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