489 Intelligence courses delivered Live Online

A personalised resilience profile and 60 minute coaching and exploration session for those who want to develop their capacity to adapt positively in an ever changing world.

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

This course will show delegates how to appraise projects in Excel, incorporate and communicate updates as they happen and ultimately understand how to convert an opportunistic property investment into a core asset that can be sold on.

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, and Business Process Owner/Team Lead/Power Users. Overview Create Web Intelligence documents for your reporting needsRetrieve data by building queries using SAP BusinessObjects universesUse Web Intelligence to enhance documents for easier analysisOrganize, manage and distribute documents using the BI launch pad This course is designed to give students the comprehensive skills and in-depth knowledge needed to access, analyze and share data using SAP BusinessObjects BI launch pad and SAP BusinessObjects Web Intelligence. Web Intelligence Describing Web Intelligence Concepts Explaining Web Intelligence Core Functions Describing Web Intelligence and the SAP BusinessObjects Business Intelligence Platform Web Intelligence Documents with Queries Creating Queries Creating a Document Modifying a Document?s Query Modify the Query Panel Data Return Restrictions from Queries Restricting Data with Query Filters Modifying a Query with a Predefined Query Filter Applying a Single-Value Query Filter Using Wildcards in Query Filters Using Prompts to Restrict Data Using Complex Filters Web Intelligence Document Design Modifying Web Intelligence Documents Displaying Data in Tables Using Tables Presenting Data in Free-standing Cells Presenting Data in Charts Presentation of Data in Documents Using Breaks and Calculations Using Sorts and Hiding Data Formatting Breaks and Cross Tables Filtering Report Data Ranking Data Highlighting Information with Formatting Rules Organizing a Report into Sections Web Intelligence Document Formatting Formatting Documents Formatting Charts Data Calculation Applying Formulas and Variables Using Formulas and Variables Drilling Functionality Analyzing the Data Cube Drilling in an Web Intelligence Document Web Intelligence Documentation Management Publishing Documents to the Corporate Repository Logging In to the BI Launch Pad Managing Documents in BI Launch Pad Viewing a Web Intelligence Document in the BI Launch Pad Sharing Web Intelligence Documents Setting BI Launch Pad Preferences Logging Off From the BI Launch Pad

Emotional Intelligence Training

Duration 3 Days 18 CPD hours This course is intended for The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. Overview You will be able to Describe how Artificial (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Demonstrate Understanding of the Artificial Intelligence (AI) Intelligen Agent Description Explain the Benefits of Artificial Intelligence (AI) Describe how we Learn from Data - Functionality, Software and Hardware Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together Describe a ''Learning from Experience'' Agile Approach to Projects Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):- Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI) Ethical and Sustainable Human and Artificial Intelligence (AI) Recall the General Definition of Human and Artificial Intelligence (AI) Describe what are Ethics and Trustworthy Artificial Intelligence (AI) Describe the Three Fundamental Areas of Sustainability and the United Nationïs Seventeen Sustainability Goals Describe how Artificial Intelligence (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) Artificial Intelligence (AI) and Robotics Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description Describe what a Robot is Describe what an intelligent Robot is Applying the Benefits of Artificial Intelligence (AI) ? Challenges and Risks Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations Explain the Benefits of Artifical Intelligence (AI) Describe the Challenges of Artificial Intelligence (AI) Projects Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects List Opportunities for Artificial Intelligence (AI) Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox ? Theory and Practice Describe how we Learn from Data - Functionality, Software and Hardware Recall which Rypical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML9 and Artificial Intelligence (AI) AgentsïFunctionality The Management, Roles and Responsibilities of Humans and Machines Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together List Future Directions of Humans and Machines Working Together Describe a ''Learning from Experience'' Agile Approach to Projects

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, and Business Process Owner/Team Lead/Power Users. Overview Create complex Web Intelligence documents using advanced query and reporting techniques, including:Combined queries and sub-queriesCharacter and date string functionsVariables and calculation contextsLink documents using hyperlinks In this course, students will gain the comprehensive skills and in-depth knowledge needed to apply alternative query and reporting techniques when creating complex Web Intelligence documents. Web Intelligence Core Report Design Reviewing Core Report Design Concepts Comparing the Differences between Java Report Panel (JRP) and WebI Rich Client (WRC) Multiple Data Sources Synchronizing Data from Multiple Data Sources Creating Multiple Queries in a Document Synchronizing Data with Merged Dimensions Interacting with Other Data Providers Advanced Query Techniques Implementing Combined Queries Implementing Subqueries Creating a Query Based on Another Query Changing Data Sources Calculation Contexts Describing Calculation Contexts Redefining Calculation Contexts Implementing Extended Syntax Operators Implementing Extended Syntax Keywords Defining Calculation Context Formulas with Character and Date String Functions Creating Formulas with Character and Date String Functions Implementing the Right() Function Implementing the Replace() Function Implementing the SubStr() Function Implementing the Pos() Function Concatenating Character Strings Implementing Date Functions If Logic Executing If() to Group Data Executing the If() Function to Modify Calculation Behavior Hyperlinks in Web Intelligence Documents Managing Hyperlinks in Web Intelligence Documents Managing Hyperlinks in Web Intelligence Desktop and the Rich Internet Application Panel Managing Hyperlinks in the Web Intelligence Interactive Panel Additional Reporting Techniques Implementing Data Tracking Implementing Additional Report Functions

Miss Date Doctor’s Emotional Intelligence coaching is designed to help you develop the skills and knowledge needed to understand and manage your emotions effectively. Emotional intelligence is a critical factor in building strong, healthy relationships, and our coaching can provide you with the tools needed to enhance your emotional intelligence and improve your relationships. Our Emotional Intelligence coaching includes a range of techniques and strategies, such as self-awareness, self-regulation, empathy, and social skills. We can help you learn to identify and manage your emotions, as well as to understand and respond effectively to the emotions of others. With our Emotional Intelligence coaching, you can learn to build stronger, more fulfilling relationships by improving your ability to communicate effectively, resolve conflicts, and understand the needs of your partner or potential partner. Whether you’re looking to enhance your personal relationships or to improve your professional performance, our Emotional Intelligence coaching can help you achieve your goals. Have 3 one hour sessions with a certified qualified experienced professional The Miss Date Doctor Emotional Intelligence package includes the following: Relationship Emotional Intelligence, Emotional Intelligence Coaching, Self-Awareness, Self-Regulation, Empathy, Social Skills, Emotion Management, Emotion Understanding, Emotional Intelligence Training, Communication, Conflict Resolution, Relationship Building, Emotional Intelligence Techniques. https://relationshipsmdd.com/product/emotional-intelligence-package/

Duration 2 Days 12 CPD hours This course is intended for System administrators Overview Prepare you to perform key administrative tasks in SAP BusinessObjects Business Intelligence platform to manage users, groups, and objects, and to distribute contents to users. In this course, students perform key administrative tasks in SAP BusinessObjects Business Intelligence platform to manage users, groups, and objects, and to distribute contents to users. SAP BusinessObjects Business Intelligence (BI) Platform Identifying the Components of the SAP BusinessObjects Business Intelligence BI Platform Content and Objects in the SAP BusinessObjects Business Intelligence (BI) Platform Viewing and Modifying Objects in the BI Platform Organizing Objects in the BI Platform Searching for Content in the BI Platform User and User Group Security in the SAP BusinessObjects Business Intelligence (BI) Platform Setting Up Users and Groups Administering Rights Application Security in the SAP BusinessObjects Business Intelligence (BI) Platform Managing Access to Applications Securing Applications Content Distribution Using Scheduling and Alerting Scheduling Objects Managing Instances Managing Calendars Managing Events Configuring Alerts and Alerting Publications and Publishing Designing Publications Additional course details: Nexus Humans BOE310 SAP BusinessObjects Business Intelligence Platform - Administration and Security 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 BOE310 SAP BusinessObjects Business Intelligence Platform - Administration and Security 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 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.