Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth 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 advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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 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 2 Days 12 CPD hours This course is intended for This is an Intermediate PowerBI course geared for experienced users who wish to leverage the tool's more advanced capabilities Overview This course is about 50% hands-on lab and 50% lecture, designed to train attendees in essential PowerBI data handling functions and reporting skills, coupling the most current, effective techniques with the soundest practices. Attendees of this course will gain practical examples from the experienced instructor who has deployed and configured Power BI reporting in a wide variety of businesses. Working in a hands-on learning environment led by our expert facilitator, students will learn how to: Create Advanced Power BI Reports Advanced understanding of the data schemas and extracting data Perform advanced transformations of data or any data schema Utilize time-phased data in the creation of complex analyses Create new measures using DAX Filter data using row-level security Create and deploy content packs Use Power BI to integrate with line-of-business applications Next Level Power BI for Experienced Users is a two day, course that provides attendees already experienced with Microsoft Power BI basics with a hands-on exploration of intermediate and beyond level features. This course is geared for attendees ready to learn the advanced techniques that you, your business analysts, and your stakeholders need to create complex information from projects, program, and portfolio reporting to utilizing time-phased data and, potentially, data from your enterprise?s other line-of-business tools. Get Project Online Data Select and mine relevant tables with ODATA Advanced ODATA data mining Importing other data formats Advanced Editing of data queries Advanced Data Transformations Managing table relationships Creating & using data hierarchies Creating custom columns and measures and metrics for filtering and reporting Creating Power BI Reports Using advanced visualizations Configuring drill-down Modifying visual interactions Importing and creating custom visuals Configure Power BI Security Creating Dashboard and row-level security Utilizing Filtering using row-level security Publishing Reports and Dashboards Building Mobile Reporting Creating and deploying content packs Configuring natural language query
Duration 3 Days 18 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. Use advanced analysis techniques. Enhance reports and dashboards. Publish and share reports and dashboards. Extend Power BI beyond the desktop. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth 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 advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Using Advanced Analysis Techniques Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Perform Advanced Analysis Enhancing Reports and Dashboards Topic A: Enhance Reports Topic B: Enhance Dashboards Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Create and Manage Workspaces Topic C: Share Reports and Dashboards Extending Power BI Beyond the Desktop Topic A: Use Power BI Mobile Topic B: Extend Access with the Power BI API Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Program/Project Managers, and Users. Overview Learn how to create queries in BEx Query DesignerLearn how to use advanced query functionsLearn how to perform OLAP analysis In this course, students obtain the knowledge to create query definitions using the BEx Query Designer and to make them available for OLAP analysis. Data Warehousing Describing Data Warehousing Describing Data Warehouse Architecture Using Reporting Tools Navigation Options in Reports Using the Navigation Options in Reports Saving Analysis Views Simple Queries Creating Simple Queries Finding a Query Filtering Query Definition Data Configuring Query Properties Key Figures and Structures in Queries Creating Restricted Key Figures Creating Calculated Key Figures Creating a New Formula with Boolean Operators Configuring Properties of Key Figures Using Exception and Nested Exception Aggregation Queries with Multiple Structures Creating Structures Resolving Formula Collision Designing Detailed Queries with the Cell Editor Characteristics and Hierarchies in Queries Configuring the Properties of Characteristics Running Display and Navigation Attribute Queries Adding Hierarchies to Reports Adding External Hierarchies to a Report Using Hierarchies and Structures Creating External Hierarchies Variables in Queries Using Variables Creating Characteristic Value and Text Variables in Queries Creating Hierarchy and Hierarchy Node Variables in Queries Creating Formula Variables in Queries Activating Business Content Variables Exceptions and Conditions in Queries Creating Exceptions in Query Design Creating Conditions in Query Design Report-Report Interface Using the Report-Report Interface Query Performance Optimization Optimizing Query Performance Configuring Query Read Mode Use Performance Monitoring Tools Queries Management and Authorizations Overview Managing Query Objects Describing Authorizations Reporting Options Outlining Reporting Options for SAP NetWeaver BW Additional course details: Nexus Humans BW305 SAP Business Warehouse Query Design and Analysis 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 BW305 SAP Business Warehouse Query Design and Analysis 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.
Microsoft Excel® in Depth: In-House Training The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. This practical course provides a solid background of the features of Excel and a deeper understanding of its features, benefits and uses. This is not a beginner's course in Excel. You will learn some advanced features such as Pivot Tables, Charting, Tables, Sorting, Filtering and Functions. The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. What you Will Learn You'll learn how to: Use functions like IF, AVERAGE, SUMIF, SUMIFS, SUMPRODUCT, INDEX, MATCH, CHOOSE, DATE, and many more Create meaningful charts Use pivot tables Use Conditional Formatting, Data Validation Take advantage of using Named ranges, do sorting, filtering, tables Getting Started The building blocks of Excel, built-in functions, will be examined The basics of formatting your data will be examined Shortcuts and data manipulation will be explored Built-in features like those mentioned in the 'What you will learn' section above will be explored in detail Excel Functions - VLOOKUP, IF, INDEX, MATCH, CHOOSE, SUMIF, SUMIFS, SUMPRODUCT, DATE, so many more Using Named ranges, Data Validation, Sorting, and Filtering Learn the Name manager; Learn the difference between local and global names; Ensure correct access to linked workbooks; Ensure data accuracy; Learn how to use cascading data validation (for example, once a user chooses 'cars', another cell allows only Ford, Toyota, etc.); Sorting by more than 3 fields; Filtering by font, pattern, or value; See your data based on things like dates in the 3rd quarter, or fields where quantity x price is greater than some fixed value Conditional formatting and data formatting Make relevant data stand out Isolate highs and lows Make error cells invisible Learn about Data bars, Icon sets, and Color scales Highlight differences between worksheets Learn all the codes in the Format/Number list Using cell Styles Learn all about alignment, protection, borders, colors and more Pivot Tables Learn how to summarize large amounts of data with a few clicks Learn various ways of presenting the data Learn the various pivot table tools Learn how to customize and format a pivot table to suit your needs Learn how to group data Learn how to use the various options to present your data Charts Learn how to create a chart with one keystroke! Learn the 11 types of built-in charts Learn how to create a chart with one keystroke! Learn how to customize the charts to make the information tell the right story Learn how to use the design, layout, and formatting available to charts in Excel 2007 Learn embedded charts versus chart sheets Learn how to use modify all the pieces of a chart Array formulas Learn how to use the most powerful formulas in Excel Learn how to combine many formulas into one compact array-formula Learn the real power of these formulas and why regular formulas can't do the job Learn how to use built-in array formulas, like TREND or TRANSPOSE
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Microsoft Excel® in Depth: Virtual In-House Training The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. This practical course provides a solid background of the features of Excel and a deeper understanding of its features, benefits and uses. This is not a beginner's course in Excel. You will learn some advanced features such as Pivot Tables, Charting, Tables, Sorting, Filtering and Functions. The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. What you Will Learn You'll learn how to: Use functions like IF, AVERAGE, SUMIF, SUMIFS, SUMPRODUCT, INDEX, MATCH, CHOOSE, DATE, and many more Create meaningful charts Use pivot tables Use Conditional Formatting, Data Validation Take advantage of using Named ranges, do sorting, filtering, tables Getting Started The building blocks of Excel, built-in functions, will be examined The basics of formatting your data will be examined Shortcuts and data manipulation will be explored Built-in features like those mentioned in the 'What you will learn' section above will be explored in detail Excel Functions - VLOOKUP, IF, INDEX, MATCH, CHOOSE, SUMIF, SUMIFS, SUMPRODUCT, DATE, so many more Using Named ranges, Data Validation, Sorting, and Filtering Learn the Name manager; Learn the difference between local and global names; Ensure correct access to linked workbooks; Ensure data accuracy; Learn how to use cascading data validation (for example, once a user chooses 'cars', another cell allows only Ford, Toyota, etc.); Sorting by more than 3 fields; Filtering by font, pattern, or value; See your data based on things like dates in the 3rd quarter, or fields where quantity x price is greater than some fixed value Conditional formatting and data formatting Make relevant data stand out Isolate highs and lows Make error cells invisible Learn about Data bars, Icon sets, and Color scales Highlight differences between worksheets Learn all the codes in the Format/Number list Using cell Styles Learn all about alignment, protection, borders, colors and more Pivot Tables Learn how to summarize large amounts of data with a few clicks Learn various ways of presenting the data Learn the various pivot table tools Learn how to customize and format a pivot table to suit your needs Learn how to group data Learn how to use the various options to present your data Charts Learn how to create a chart with one keystroke! Learn the 11 types of built-in charts Learn how to create a chart with one keystroke! Learn how to customize the charts to make the information tell the right story Learn how to use the design, layout, and formatting available to charts in Excel 2007 Learn embedded charts versus chart sheets Learn how to use modify all the pieces of a chart Array formulas Learn how to use the most powerful formulas in Excel Learn how to combine many formulas into one compact array-formula Learn the real power of these formulas and why regular formulas can't do the job Learn how to use built-in array formulas, like TREND or TRANSPOSE