3518 Dash courses

Duration 2 Days 12 CPD hours Overview What is JIRA Software? Managing agile projects using JIRA Software Managing project backlog Managing iterations / sprints Managing releases / versions Managing project components Managing security Managing fields and screens Managing custom issue types Viewing various burn-down/burn-up reports This course introduces students to JIRA Software which is one of the most popular agile project management tool. Agile methods help in accelerating the delivery of initial business value. Continuous planning and feedback ensures that value is maximized throughout the development process. JIRA Software lets you manage project backlog, plan and execute sprints, and manage releases. It also lets you view useful reports, such as, velocity, various burndown / burn-up charts. Navigating JIRA Connecting to JIRA Software JIRA Account System Dashboard Sidebars Global Sidebar Search Help Dashboards Projects Boards Issues Project Sidebar Summary Managing Projects What is a Project? What is a Project (Contd.)? Backlog Sprints Versions / Releases Issues What is Component? Project Name and Key Project Key Format Editing Project Key Caveats Editing Project Key Deleting Project Summary Managing Versions What is Version What is Version (Contd.)? Merging Versions Other Version Options Version Fields What is Version? Summary Managing Issues Issues What are Epics? Epics ? Types Creating a new Epic What is a Story? Creating a Story Story Estimation Tasks Sub-tasks Summary Managing Sprints Sprints What is typically done in Sprint Planning? Velocity Agile Board Sprint Naming Convention Sprint Execution Summary Search & Using JQL Search Search Types JQL JQL Examples Sharing search result Save Search and Reuse in a Board Summary Working with JIRA Dashboards and Reports What is a JIRA Dashboard? Creating a JIRA Dashboard Choosing a Dashboard Layout What is a Gadget? Gadgets Available Out-of-the-box Adding a Gadget to a Dashboard Adding a Gadget to a Dashboard (Example Calendar Gadget) Moving a Gadget Removing a Gadget from a Dashboard Viewing Dashboard as a Wallboard Deleting a Dashboard JIRA Reports Generating a JIRA Report Generating a JIRA Report (Example ? Burndown Chart) Viewing the Burndown Chart Report Categories Available Out-of-the-box Agile Reports Issue Analysis Reports Forecast & Management Reports For further details ? Summary Jira Agile Common Jira Software boards Scrum Agility Kanban Scrum vs. Kanban Scrumban History of Kanban Kanban for software teams Kanban boards Kanban boards (Contd.) Kanban cards The benefits of Kanban Planning flexibility Shortened time cycles Fewer bottlenecks Visual metrics Continuous Delivery Kanban ? Kanban backlog Summary Miscellaneous Issue Features Voting Watching an Issue Adding/Removing Labels Linking Issues Linking Issue (Contd.) Commenting on Issue Attaching a File to an Issue Attaching a File to an Issue (Contd.) Cloning (Copying) an Issue Cloning (Copying) an Issue (Contd.) Cloning (copying) an Issue (Contd.) Viewing an Issue?s Change History Viewing an Issue's Change History (Contd. Summary Managing Fields & Screens (OPTIONAL: TIME PERMITTING) Fields OOB Fields Custom Fields Field Type Screens Summary

Duration 2 Days 12 CPD hours Overview Identify and configure basic functions of Tableau. Connect to data sources, import data into Tableau, and save Tableau files Create views and customize data in visualizations. Manage, sort, and group data. Save and share data sources and workbooks. Filter data in views. Customize visualizations with annotations, highlights, and advanced features. Create and enhance dashboards in Tableau. Create and enhance stories in Tableau As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets?. Lesson 1: Tableau Fundamentals Topic A: Overview of Tableau Topic B: Navigate and Configure Tableau Lesson 2: Connecting to and Preparing Data Topic A: Connect to Data Topic B: Build a Data Model Topic C: Save Workbook Files Topic D: Prepare Data for Analysis Lesson 3: Exploring Data Topic A: Create Views Topic B: Customize Data in Visualizations Lesson 4: Managing, Sorting, and Grouping Data Topic A: Adjust Fields Topic B: Sort Data Topic C: Group Data Lesson 5: Saving, Publishing, and Sharing Data Topic A: Save Data Sources Topic B: Publish Data Sources and Visualizations Topic C: Share Workbooks for Collaboration Lesson 6: Filtering Data Topic A: Configure Worksheet Filters Topic B: Apply Advanced Filter Options Topic C: Create Interactive Filters Lesson 7: Customizing Visualizations Topic A: Format and Annotate Views Topic B: Emphasize Data in Visualizations Topic C: Create Animated Workbooks Topic D: Best Practices for Visual Design Lesson 8: Creating Dashboards in Tableau Topic A: Create Dashboards Topic B: Enhance Dashboards with Actions Topic C: Create Mobile Dashboards Lesson 9: Creating Stories in Tableau Topic A: Create Stories Topic B: Enhance Stories with Tooltips

Business Intelligence Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Duration 1 Days 6 CPD hours This course is intended for Candidates for this exam are users who aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences. Overview After completing this course, you will be able to: Describe Microsoft Power Platform components Describe Microsoft Dataverse and connectors Describe cross-cloud scenarios across M365, Dynamics 365, Microsoft Azure and 3rd party services Identify benefits and capabilities of Microsoft Power Platform Identify the basic functionality and business value Microsoft Power Platform components Implement simple solutions with Power Apps, Power Automate, and Power BI Learn the business value and product capabilities of Microsoft Power Platform. Create simple Power Apps, connect data with Dataverse, build a Power BI Dashboard, and automate processes with Power Automate. Module 1: Introduction to Microsoft Power Platform Identify when to use each Microsoft Power Platform component application to create business solution Learn the value of using Microsoft Power Platform to create business solutions Learn the components and features of Microsoft Power Platform Module 2: Introduction to Microsoft Dataverse Microsoft Dataverse Overview Module 3: Get Started with Power Apps Introduction to Power Apps How to build a canvas app How to build a model-driven app Module 4: Get Started with Power Automate Power Automate Overview How to Build an Automated Solution Module 5: Get Started with Power BI Power BI Overview How to Build a Simple Dashboard Module 6: Introduction to Power Virtual Agents Power Virtual Agents overview Additional course details: Nexus Humans PL-900T00 Microsoft Power Platform Fundamentals 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 PL-900T00 Microsoft Power Platform Fundamentals 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.

Tableau is an intuitive and simple tool to learn. This Tableau training course is a jumpstart to getting report writers and analysts who are self-taught or have no previous knowledge to being productive. It covers everything from connecting to data, through to creating interactive dashboards with a range of visualisations in three days. Having a quick turnaround from starting to use Tableau, to getting real, actionable insights means that you get a swift return on your investment. At the end of this course, you will be able to communicate insights more effectively, enabling your organisation to make better decisions, quickly. This accelerated approach is key to getting engagement from within your organisation so everyone can immediately see and feel the impact of the data and insights you create. Our Tableau Desktop Fast Track course combines all of our Foundation (Fundamentals) and Analyst (Intermediate) content into a 3 day live online course with added access to online bonus content of 3 additional modules. Gathering Requirements, Bring Your Own Data and Engaging Users. What do you get? This course is delivered live virtually and has all material provided through our online portal, together with email support and live coaching sessions. The full program includes all of the following elements: 3 days of live and interactive instructor-led sessions delivered by an expert Tableau Trainer 6 weeks access to our live coaching program delivered by expert Tableau coaches 50+ practical exercises to practice what you learn 12 months access to video’s that walk you through the theory and exercise solutions Practical advice, tools and resources for using Tableau in the real world The three additional online modules provide:Clarity on the approach to gathering dashboard requirements in a way that can be translated into dashboard designs.An agile and iterative development process that delivers products that meet user needs more quickly and effectively.An understanding of how end users will interact with dashboards to ensure that designers deliver actionable results. THE SYLLABUS PHASE 1: DESIGN MODULE 1: UNDERSTAND TABLEAU What is possible How does Tableau deal with data Know your way around Review of Type Conversions How do we format charts Dashboard basics – My first Dashboard MODULE 2: TRANSFORM DATA Connecting to and setting up data in Tableau Modifying data attributes How Do I Structure my Data – Groups & Hierarchies, Visual Groups How Tableau Deals with Dates – Using Discrete and Continuous Dates, Custom Dates How do I create calculated fields and why? – Creating Calculated Fields, Types of calculated fields, Row Level v Aggregations, Aggregating dimensions in calculations, Changing the Level of Detail (LOD) of calculations – What, Why, How MODULE 3: GATHER REQUIREMENTS(ONLINE CONTENT ONLY) Brainstorm and assess possible priorities Pitfalls to avoid Gather requirements PHASE 2: DEVELOP MODULE 4: CREATE CHARTS Charts that Compare Multiple Measures – Measure Names and Measure Values, Shared Axis Charts, Dual Axis Charts, Scatter Plots Showing progress over time Creating Tables – Creating Tables, Highlight Tables, Heat Maps Showing Relational & Proportional Data – Pie Charts, Donut Charts, Tree Maps Making things dynamic with parameters MODULE 5: COMBINE DATA Relationships Joining Tables – Join Types, Joining tables within the same database, cross database joins, join calculations Blending – How to create a blend with common fields, Custom defined Field relationships and mismatched element names, Calculated fields in blended data sources Unions – Manual Unions and mismatched columns, Wildcard unions Data Extracts – Creating & Editing Data extracts MODULE 6: ANALYSE INFORMATION Table Calculations Sets, Reference Lines, Trends and Forecasting Answering spatial questions – Mapping, Creating a choropleth (filled) map, Using your own images for spatial analysis, Mapping with spatial files Advanced charts Bar in Bar charts Bullet graphs Creating Bins and Histograms Creating a Box & Whisker plot Viz in Tooltips PHASE 3: DESIGN MODULE 7: BUILD DASHBOARDS Using the Dashboard Interface Device layouts Dashboard Actions – Set actions, Parameter actions Viz in Tooltips for Dashboards Dashboard containers – Horizontal & Vertical containers, Hidden containers Navigate between dashboards Telling data driven stories MODULE 8: BRING YOUR OWN DATA Design Best Practices & Resources Wireframe templates Questions Process Start building and testing MODULE 9: EMPOWER STAKEHOLDERS What is Tableau Server Publishing & permissions How can your users engage with content The Tableau ecosystem Review your progress Your next steps HOW MUCH OF YOUR TIME WILL THIS TAKE? Delegates are also provided 6 weeks access to our Tableau Coaching. We run Live Q&A sessions from 4pm-5pm on a Monday (Connecting to Data and Calculated Fields), 2pm-3pm Friday (Creating Charts) & 4pm-5pm Friday (Dashboard Design). The coaching helps delegates to transition from the theory of using Tableau to its practical use. We’d be expecting them to apply the exercises you’ll be doing during the course, onto your own data after the course. In our experience, this is the best way to increase both understanding and long term memory retention. The live coaching also acts as a troubleshooting platform for any practical issues that delegates need to overcome in the real world. Delegates also have 12 months access to all of the training material covered in the course in the form of an online portal (this includes theory videos, exercise solution videos, exercise materials and even quizzes). We have a growing LinkedIn community that delegates are encouraged to join and participate in. We regularly post useful blog posts and additional training that will enhance the Tableau journey and understanding. We help teams using Tableau to transform in the following ways : From a disjointed understanding of Tableau – To being familiar with Tableau terminology and capability From ad-hoc data uploads and error prone calculations – To reusable data connections and robust metrics From disjointed stakeholder questions – To clear and concise requirements that lead to decision making From being unsure how difficult Tableau will be to learn – To being able to develop standard charts and tables in Tableau with dynamic reporting capabilities From manually combining data for each analytical task – To dynamically combining data from multiple tables for analysis From being unsure how to answer analytical questions and what options there are – To being equipped with multiple actionable, dynamic, analytical use cases From not knowing Why, When and How to create Dashboards or Story’s – To being able to combine analysis to answer complex questions and tell data driven stories From using demo data theory – To Delivering value [Answering questions] on their own data From spending lots of time answering colleagues ad-hoc (data) questions – To empowering stakeholders in answering ad-hoc queries and reducing the time to analyse and steer the business

This 3 day Tableau Desktop Advanced Training course is designed for professionals who have been working with Tableau for some time and are looking to dive deeper and learn analytical use cases that utilise Tableaus advanced features. It is also a perfect refresher course if you want to upgrade your skills to the latest features. Public Course Options EXTEND YOUR KNOWLEDGE OF TABLEAU IN THIS HANDS-ON COURSE TRAINING £1,200 per person + VAT 3 Day live virtual course 12 Months access to online course This 3 day Tableau Desktop Advanced Training course is designed for the professional who has been working with Tableau for some time and is looking to dive deeper. You will review all calculation types and apply Table Calculations and Level of Detail Expressions in multiple use cases. You will also learn advanced techniques for analysing time series data, cohorts and survey data. You will learn advanced mapping and dashboard techniques to help improve the insights gained for your target audience. You will be introduced to the latest features together with practical use cases for getting the most benefit from them. Attendees should have a deep understanding of the fundamental concepts of building Tableau worksheets and dashboards and be comfortable with the techniques learnt in the Foundation and Analyst courses. At the end of this course you will be able to apply and combine some of the more complex capabilities and techniques that Tableau has to offer. In addition to our regular 2 day syllabus we have added an additional day so that we can add learning for many new features introduced into Tableau over the last couple of years. Live Coaching and Q&A Access In addition to the 3 day live and interactive course, delegates also receive 6 weeks live access to our Coaching and Q&A calls that take place 3 times each week. Delegates have found these to be highly beneficial to enhance their learning experience as well as assisting with applying the learning from the course to practical working deliverables on their own data. The course includes the following topics: RECAP: CALCULATIONS Review of Number Functions Review of String Functions Review of Date Functions Review of Type Conversions Review of Logical Functions Review of Aggregate Functions Alternatives to Calculations 2 Hands-on exercises GETTING THE MOST FROM TABLE CALCULATIONS What are and when to use Table Calculations What Table Calculation Types are there? Defining the Scope and Direction of calculations Using Table Calculations in Calculated Fields How do Filters work with Table Calculations? 7 Hands-on exercises LODS - LEVEL OF DETAIL EXPRESSIONS Overview FIXED LOD How do Filters work with LODs? INCLUDE LOD EXCLUDE LOD Nesting LODs Comparing the various Calculation Types 5 Hands-on exercises ADVANCED TECHNIQUES FOR ANALYSING TIME-BASED DATA Creating Sparklines Creating Slope Charts Creating Control Charts Creating Bump Charts 4 Hands-on exercises ANALYSING BEHAVIOURS IN DATA Creating Cohort Analysis Analysing Survey Data 2 Hands-on exercises ADVANCED TECHNIQUES FOR MAPPING Mapping Distance from a point Normalising map areas with Hexbins Combining Spatial & Data Files 3 Hands-on exercises ADVANCED CONSIDERATIONS FOR DASHBOARDS Identifying your Audience Using Containers and Layout Considerations for Dashboard Elements Sheet swapping Adding Dashboard Actions to Context 2 Hands-on exercises In addition to the regular syllabus we will also cover the following New Features : Viz in Tooltips Set Actions Parameter Actions Show/Hide Containers Animations Dashboard Navigation Button Replace Worksheet in a Dashboard (DB) Show/Hide Sort Controls Vector Maps Customisable reference line tooltips Automatic dashboard phone layouts Export to PowerPoint Transparent worksheet backgrounds Density Mark Type (New Heatmap) Dashboard Extensions Step and Jump Lines Dashboard Grids Nested sorting improvements Ask Data Explain Data Spatial Calculations Negative values on log axis Additional clustering functionality Enhanced cross-database join control This training course includes over 35 hands-on exercises and quizzes to help participants “learn by doing” and to assist group discussions around real-life use cases. A comprehensive training manual is provided together with all the data, starter and solution Tableau Workbooks required for the training.  Students must use their own laptop with an active version of Tableau Desktop 2020.1 (or later) pre-installed. What People Are Saying About This Course "Course was fantastic and completely relevant to the work I am doing with Tableau. I particularly liked Steve's method of teaching and how he applied the course material to 'real-life' use-cases."Richard W., Dashboard Consulting Ltd "This course was extremely useful and excellent value. It helped me formalise my learning and I have taken a lot of useful tips away which will help me in everyday work."Lauren M., Baillie Gifford "I would definitely recommend taking this course if you have a working knowledge of Tableau. Even the little tips Steve explains will make using Tableau a lot easier. Looking forward to putting what I've learned into practice."Aron F., Grove & Dean "Steve is an excellent teacher and has a vast knowledge of Tableau. I learned a huge amount over the two days that I can immediately apply at work."John B., Mporium

OVERVIEW This official Microsoft Power BI training course will teach you how to connect to data from many sources, clean and transform it using Power Query, create a data model consisting of multiple tables connected with relationships and build visualisations and reports to show the patterns in the data. The course will explore formulas created using the DAX language, including the use of advanced date intelligence calculations. Additional visualisation features including interactivity between the elements of a report page are covered as well as parameters and row-level security, which allows a report to be tailored according to who is viewing it. The course will also show how to publish reports and dashboards to a workspace on the Power BI Service. COURSE BENEFITS: Learn how to clean, transform, and load data from many sources Use database queries in Power Query to combine tables using append and merge Create and manage a data model in Power BI consisting of multiple tables connected with relationships Build Measures and other calculations in the DAX language to plot in reports Manage advanced time calculations using date tables Optimise report calculations using the Performance Analyzer Manage and share report assets to the Power BI Service Prepare for the official Microsoft PL-300 exam using Microsoft Official Courseware WHO IS THE COURSE FOR? Data Analysts with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence Management Consultants who need to conduct rapid analysis of their clients’ data to answer specific business questions Analysts who need to upgrade their organisation from a simple Excel or SQL-based management reporting system to a dynamic BI system Data Analysts who wish to develop organisation-wide reporting in the form of web reports or phone apps Marketers in data-intensive organisations who wish to build visually appealing, dynamic charts for their stakeholders to use COURSE OUTLINE Module 1 Getting Started With Microsoft Data Analytics Data analytics and Microsoft Getting Started with Power BI Module 2 Get Data In Power BI Get data from various data sources Optimize performance Resolve data errors Lab: Prepare Data in Power BI Desktop Module 3 Clean, Transform And Load Data In Power BI Data shaping Data profiling Enhance the data structure Lab: Load Data in Power BI Desktop Module 4 Design A Data Model In Power BI Introduction to data modelling Working with Tables Dimensions and Hierarchies Lab: Model Data in Power BI Desktop Module 5 Create Model Calculations Using DAX In Power BI Introduction to DAX Real-time Dashboards Advanced DAX Lab 1: Create DAX Calculations in Power BI Desktop, Part 1 Lab 2: Create DAX Calculations in Power BI Desktop, Part 2 Module 6 Optimize Model Performance Optimize the data model for performance Optimize DirectQuery models Module 7 Create Reports Design a Report Enhance the Report Lab 1: Design a Report in Power BI Desktop, Part 1 Lab 2: Design a Report in Power BI Desktop, Part 2 Module 8 Create Dashboards Create a Dashboard Real-time Dashboards Enhance a Dashboard Lab: Create a Power BI Dashboard Module 9 Perform Advanced Analytics Advanced analytics Data Insights through AI Visuals Lab: Perform Data Analysis in Power BI Desktop Module 10 Create And Manage Workspaces Creating Workspaces Sharing and managing assets Module 11 Manage Datasets In Power BI Parameters Datasets Module 12 Row-Level Security Security in Power BI Lab: Enforce Row-Level Security

Project Management Metrics, Key Performance Indicators, and Dashboards: On-Demand The ultimate purpose of metrics and dashboards is not to provide more information, but to provide the right information to the right person at the right time using the correct media and in a cost effective manner. This is certainly a challenge. As computer technology has grown, so has the ease by which information can be generated and presented to management and stakeholders. Today, everyone seems concerned about information overload. Unfortunately, the real issue is non-information overload. In other words, there are too many useless reports which cannot easily be read and which provide readers with too much information, much of which may have no relevance. We are now struggling to find better ways of communicating. Our focus today is on the unique needs of the receiver of the information. The need to make faster and better decisions mandates better information. Humans have a variety of ways by which they can absorb information. We must address all of these ways in the selection of the metrics and the design of the dashboards. The three most important words in a stakeholder's vocabulary are, 'Making informed decisions.' This is usually the intent of effective stakeholder relations management. Unfortunately, this cannot be accomplished without an effective information system based upon meaningful and informative metrics and key performance indicators (KPIs). For decades we believed that the only information that needed to be passed on to the client and the stakeholders were information related to time and cost. Today, we realize that true project status cannot be determined from time and cost alone. Each project may require its own unique metrics and key performance indicators. The future of project management may very well be metric-driven project management. Information design has finally come of age. Effective communications is the essence of information design. Today, we have many small companies that are specialists in information design. Larger companies may maintain their own specialist team and call these people graphic designers, information architects or interaction designers. These people maintain expertise in the visual display of both quantitative and qualitative information necessary for informed decision-making. Traditional communications and information flow has always been based upon tables, charts and indexes that were hopefully organized properly by the designer. Today, information or data graphics combines points, lines, charts, symbols, images, words, numbers, shades and a symphony of colors to convey the right message easily. What we know with certainty is that dashboards and metrics are never an end in themselves. They go through continuous improvement and are constantly updated. In a project management environment, each receiver of information can have different requirements and may request different information during the life cycle of the project. What You Will Learn Gain a better understanding of why metrics management has grown Develop a deeper understanding that there are different types of metrics and KPIs, and that not all metrics should be reported to the client or stakeholders Understand how effective metrics, when combined with dashboards, can facilitate the decision-making process Understand the complexities with dashboard design Be able to identify how many metrics are necessary and how too many metrics can create communication Understand the need for value-based metrics Understand the critical issues with the implementation of a metrics management program Understanding Value-Based Metrics Targets and Measurements Graphical Displays of Metrics and KPIs Understanding Key Performance Indicators (KPIs) Understanding Metrics The Driving Forces for Better Metrics Changing Times: The Growth of PM 2.0 Understanding Dashboards Metric Management Systems Metric Management Systems Benefits of a Metric Management Program

Learn to drive the visual meaning from the million rows of data with Tableau. This course will help you learn how to use different objects to create professional-looking dashboards. We will also focus on how to use containers in the best possible way. Basic knowledge of Tableau will be helpful.