46 Data Structure courses delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - DISCOVER DATA ANALYSIS * Overview of data analysis * Roles in data * Tasks of a data analyst 2 - GET STARTED BUILDING WITH POWER BI * Use Power BI * Building blocks of Power BI * Tour and use the Power BI service 3 - GET DATA IN POWER BI * Get data from files * Get data from relational data sources * Create dynamic reports with parameters * Get data from a NoSQL database * Get data from online services * Select a storage mode * Get data from Azure Analysis Services * Fix performance issues * Resolve data import errors 4 - CLEAN, TRANSFORM, AND LOAD DATA IN POWER BI * Shape the initial data * Simplify the data structure * Evaluate and change column data types * Combine multiple tables into a single table * Profile data in Power BI * Use Advanced Editor to modify M code 5 - DESIGN A SEMANTIC MODEL IN POWER BI * Work with tables * Create a date table * Work with dimensions * Define data granularity * Work with relationships and cardinality * Resolve modeling challenges 6 - ADD MEASURES TO POWER BI DESKTOP MODELS * Create simple measures * Create compound measures * Create quick measures * Compare calculated columns with measures 7 - ADD CALCULATED TABLES AND COLUMNS TO POWER BI DESKTOP MODELS * Create calculated columns * Learn about row context * Choose a technique to add a column 8 - USE DAX TIME INTELLIGENCE FUNCTIONS IN POWER BI DESKTOP MODELS * Use DAX time intelligence functions * Additional time intelligence calculations 9 - OPTIMIZE A MODEL FOR PERFORMANCE IN POWER BI * Review performance of measures, relationships, and visuals * Use variables to improve performance and troubleshooting * Reduce cardinality * Optimize DirectQuery models with table level storage * Create and manage aggregations 10 - DESIGN POWER BI REPORTS * Design the analytical report layout * Design visually appealing reports * Report objects * Select report visuals * Select report visuals to suit the report layout * Format and configure visualizations * Work with key performance indicators 11 - CONFIGURE POWER BI REPORT FILTERS * Apply filters to the report structure * Apply filters with slicers * Design reports with advanced filtering techniques * Consumption-time filtering * Select report filter techniques * Case study - Configure report filters based on feedback 12 - ENHANCE POWER BI REPORT DESIGNS FOR THE USER EXPERIENCE * Design reports to show details * Design reports to highlight values * Design reports that behave like apps * Work with bookmarks * Design reports for navigation * Work with visual headers * Design reports with built-in assistance * Tune report performance * Optimize reports for mobile use 13 - PERFORM ANALYTICS IN POWER BI * Explore statistical summary * Identify outliers with Power BI visuals * Group and bin data for analysis * Apply clustering techniques * Conduct time series analysis * Use the Analyze feature * Create what-if parameters * Use specialized visuals 14 - CREATE AND MANAGE WORKSPACES IN POWER BI * Distribute a report or dashboard * Monitor usage and performance * Recommend a development life cycle strategy * Troubleshoot data by viewing its lineage * Configure data protection 15 - MANAGE SEMANTIC MODELS IN POWER BI * Use a Power BI gateway to connect to on-premises data sources * Configure a semantic model scheduled refresh * Configure incremental refresh settings * Manage and promote semantic models * Troubleshoot service connectivity * Boost performance with query caching (Premium) 16 - CREATE DASHBOARDS IN POWER BI * Configure data alerts * Explore data by asking questions * Review Quick insights * Add a dashboard theme * Pin a live report page to a dashboard * Configure a real-time dashboard * Set mobile view 17 - IMPLEMENT ROW-LEVEL SECURITY * Configure row-level security with the static method * Configure row-level security with the dynamic method ADDITIONAL COURSE DETAILS: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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-300T00: Microsoft Power BI Data Analyst 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.

OVERVIEW Prerequisites—DIAD training or equivalent working experience This one-day course will cover Power BI report layouts and structure the agile process to creating Power BI data visualizations. It will help attendees to understand the art behind visualizations, the implications behind choosing the right charts, the impact of color, shape, and size, and finally the use of Power BI custom visuals. The course includes various design patterns of dashboards and reports, as well as best practices for authoring great reports and dashboards for business users. The course content is managed by the Power BI engineering team at Microsoft. There is no exam associated with the course. COURSE BENEFITS: * Understand the need for storytelling with data * Understand the agile process to creating Power BI data visualizations * Understand the art behind visualizations * Gain familiarity with Power BI report layouts and structure * Understand implications behind choosing the right charts * Gain familiarity with using Power BI custom visuals WHO IS THE COURSE FOR? * Power BI report developers who wish to improve the aesthetic quality of their reports * Power BI and other BI practitioners who would like to understand more about the theory of data visualization * BI practitioners who wish to create reports that communicate the meaning behind the data more clearly * Power BI users who would like to explore the types of chart and visual available that answer different types of business question COURSE OUTLINE Module 1 What Is Storytelling With Data? * Volume, Velocity and Variety * The importance of business questions * What is a story in this context? Module 2 The Science Behind Data Visualization * Basic problems to avoid * Memory and visualization * Ways to spark iconic, short-term and long-term memory Module 3 The Process Behind Data Visualization * Using an agile approach to report development * Data structure and data grain * Converting the story to a data model Module 4 Dashboards And Reports * Terminology and definitions * Dashboard layout and structure * Report layout and structure * Storyboarding * Drill-through, bookmarks, toggles and tooltips Module 5 Chart Selection * Charts for comparison * Time series * Proportions * Constructing effective tables, cards and slicers * Scatterplots Module 6 Accessibility And Custom Visuals * Report accessibility checklists * Custom visuals * Creating a custom R visual * Charticulator Module 7 Publishing And Formatting * Colour schemes * Making a Power BI theme * Use of fonts, icons and symbols * Sizing dashboard and report tiles * Sparklines, hyperlinks and images Module 8 Report Authoring - Best Practices * Design thought process * The audience * Defining the platform environment * The user experience * Visualization * Implementation and testing * Optimization Module 9 Dashboard And Goals Design * Tips and tricks * Best practices for dashboard design * Tracking business metrics with goals

SOFTWARE DEVELOPMENT TRAINING COURSE DESCRIPTION This three-day MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-361, and build an understanding of these topics: Core programming, Object-Oriented programming, general software development, web applications, desktop applications, and databases. This course leverages the same content as found in the Microsoft Official Academic Course (MOAC) for this exam. WHAT WILL YOU LEARN * Describe core programming. * Explain Object Oriented programming. * Describe general software development. * Describe Web applications. * Describe desktop applications. * Explain how databases work. SOFTWARE DEVELOPMENT TRAINING COURSE DETAILS * Who will benefit: Anyone looking to learn the fundamentals of software. * Prerequisites: None. * Duration 3 days SOFTWARE DEVELOPMENT TRAINING COURSE CONTENTS * Core programming * Computer storage and data types How a computer stores programs and the instructions in computer memory, memory stacks and heaps, memory size requirements for the various data storage types, numeric data and textual data. * Computer decision structures Various decision structures used in all computer programming languages; If decision structures; multiple decision structures, such as If…Else and switch/Select Case; reading flowcharts; decision tables; evaluating expressions. * Handling repetition For loops, While loops, Do...While loops and recursion. * Understand error handling Structured exception handling. * Object-oriented programming * Classes Properties, methods, events and constructors; how to create a class; how to use classes in code. * Inheritance Inheriting the functionality of a base class into a derived class. * Polymorphism Extending the functionality in a class after inheriting from a base class, overriding methods in the derived class. * Encapsulation Creating classes that hide their implementation details while still allowing access to the required functionality through the interface, access modifiers. * General software development * Application life cycle management Phases of application life cycle management, software testing. * Interpret application specifications Application specifications, translating them into prototypes, code, select appropriate application type and components. * Algorithms and data structures Arrays, stacks, queues, linked lists and sorting algorithms; performance implications of various data structures; choosing the right data structure. * Web applications * Web page development HTML, CSS, JavaScript. * ASP.NET web application development Page life cycle, event model, state management, client-side versus server-side programming. * Web hosting Creating virtual directories and websites, deploying web applications, understanding the role of Internet Information Services. * Web services Web services that will be consumed by client applications, accessing web services from a client application, SOAP, WSDL. * Desktop applications * Windows apps UI design guideline categories, characteristics and capabilities of Store Apps, identify gestures. * Console-based applications Characteristics and capabilities of console- based applications. * Windows Services Characteristics and capabilities of Windows Services. * Databases * Relational database management systems Characteristics and capabilities of database products, database design, ERDs, normalisation concepts. * Database query methods SQL, creating and accessing stored procedures, updating and selecting data. * Database connection methods Connecting to various types of data stores, such as flat file; XML file; in-memory object; resource optimisation.

ABOUT THIS VIRTUAL INSTRUCTOR LED TRAINING (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: 1. Why place more focus on data assets? 2. Is data management just about serving geoscientists or engineers with fresh data? 3. What is the value of data management in the E&P sector for decision making? 4. How to convince the data consumers that the data we provide is reliable? 5. Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: * Understand why the data asset is now considered as a main asset by energy organizations * Appreciate the importance of data governance and become an active stakeholder of it * Understand the architecture and implementation of data structure in their professional environment * Get familiarized with the more important data management activities such as data security and data quality * Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: * All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants * A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives * A detailed reference manual * A lexicon of terms for data-management * Limited class size to encourage the interactivity Target Audience This VILT course is intended for: * Junior/new data managers * Geoscientists * Reservoir engineers * Producers * Maintenance specialists * Construction specialists * Human resources * Legal Course Level * Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Step by Step explanation of each topics in C Language with lots of programs.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of programming fundamentals and object-oriented programming concepts. They will typically be high school students, post-secondary school students, or career changers, with no prior programming experience. They might want to gain an understanding of the core programming fundamentals before moving on to more advanced courses such as Programming in C#. Overview Explain core programming fundamentals such as computer storage and processing. Explain computer number systems such as binary. Create and use variables and constants in programs. Explain how to create and use functions in a program. Create and use decisions structures in a computer program. Create and use repetition (loops) in a computer program. Explain pseudocode and its role in programming. Explain the basic computer data structures such as arrays, lists, stacks, and queues. Implement object-oriented programming concepts. Create and use classes in a computer program. Implement encapsulation, inheritance, and polymorphism. Describe the base class library (BCL) in the .NET Framework. Explain the application security concepts. Implement simple I/O in a computer program. Identify application errors and explain how to debug an application and handle errors. Identify the performance considerations for applications. In this 5-day course, students will learn the basics of computer programming through the use of Microsoft Visual Studio 2022 and the Visual C# and Visual Basic programming languages. The course assumes no prior programming experience and introduces the concepts needed to progress to the intermediate courses on programming, Programming in C#. The focus will be on core programming concepts such as computer storage, data types, decision structures, and repetition by using loops. The course also covers an introduction to object-oriented programming covering classes, encapsulation, inheritance, and polymorphism. Coverage is also included around exception handling, application security, performance, and memory management. 1 - INTRODUCTION TO CORE PROGRAMMING CONCEPTS * Computer Data Storage and Processing * Application Types * Application Lifecycle * Code Compilation 2 - CORE PROGRAMMING LANGUAGE CONCEPTS * Syntax * Data Types * Variables and Constants 3 - PROGRAM FLOW * Introduction to Structured Programming Concepts * Introduction to Branching * Using Functions * Using Decision Structures * Introducing Repetition 4 - ALGORITHMS AND DATA STRUCTURES * Understand How to Write Pseudocode * Algorithm Examples * Introduction to Data Structures 5 - ERROR HANDLING AND DEBUGGING * Introduction to Program Errors * Introduction to Structured Error Handling * Introduction to Debugging 6 - INTRODUCTION TO OBJECT-ORIENTED PROGRAMMING * Introduction to Complex Structures * Introduction to Structs * Introduction to Classes * Introducing Encapsulation 7 - MORE OBJECT-ORIENTED PROGRAMMING * Introduction to Inheritance * Introduction to Polymorphism * Introduction to .NET and the Base Class Library 8 - INTRODUCTION TO APPLICATION SECURITY * Authentication and Authorization * Code Permissions on Computers * Introducing Code Signing 9 - CORE I/O PROGRAMMING * Using Console I/O * Using File I/O 10 - APPLICATION PERFORMANCE AND MEMORY MANAGEMENT * Value Types vs Reference Types * Converting Types * The Garbage Collector ADDITIONAL COURSE DETAILS: Nexus Humans 55337 Introduction to Programming 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 55337 Introduction to Programming 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 Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - IDENTIFYING BASIC CONCEPTS OF DATA SCHEMAS * Identify Relational and Non-Relational Databases * Understand the Way We Use Tables, Primary Keys, and Normalization 2 - UNDERSTANDING DIFFERENT DATA SYSTEMS * Describe Types of Data Processing and Storage Systems * Explain How Data Changes 3 - UNDERSTANDING TYPES AND CHARACTERISTICS OF DATA * Understand Types of Data * Break Down the Field Data Types 4 - COMPARING AND CONTRASTING DIFFERENT DATA STRUCTURES, FORMATS, AND MARKUP LANGUAGES * Differentiate between Structured Data and Unstructured Data * Recognize Different File Formats * Understand the Different Code Languages Used for Data 5 - EXPLAINING DATA INTEGRATION AND COLLECTION METHODS * Understand the Processes of Extracting, Transforming, and Loading Data * Explain API/Web Scraping and Other Collection Methods * Collect and Use Public and Publicly-Available Data * Use and Collect Survey Data 6 - IDENTIFYING COMMON REASONS FOR CLEANSING AND PROFILING DATA * Learn to Profile Data * Address Redundant, Duplicated, and Unnecessary Data * Work with Missing Value * Address Invalid Data * Convert Data to Meet Specifications 7 - EXECUTING DIFFERENT DATA MANIPULATION TECHNIQUES * Manipulate Field Data and Create Variables * Transpose and Append Data * Query Data 8 - EXPLAINING COMMON TECHNIQUES FOR DATA MANIPULATION AND OPTIMIZATION * Use Functions to Manipulate Data * Use Common Techniques for Query Optimization 9 - APPLYING DESCRIPTIVE STATISTICAL METHODS * Use Measures of Central Tendency * Use Measures of Dispersion * Use Frequency and Percentages 10 - DESCRIBING KEY ANALYSIS TECHNIQUES * Get Started with Analysis * Recognize Types of Analysis 11 - UNDERSTANDING THE USE OF DIFFERENT STATISTICAL METHODS * Understand the Importance of Statistical Tests * Break Down the Hypothesis Test * Understand Tests and Methods to Determine Relationships Between Variables 12 - USING THE APPROPRIATE TYPE OF VISUALIZATION * Use Basic Visuals * Build Advanced Visuals * Build Maps with Geographical Data * Use Visuals to Tell a Story 13 - EXPRESSING BUSINESS REQUIREMENTS IN A REPORT FORMAT * Consider Audience Needs When Developing a Report * Describe Data Source Considerations For Reporting * Describe Considerations for Delivering Reports and Dashboards * Develop Reports or Dashboards * Understand Ways to Sort and Filter Data 14 - DESIGNING COMPONENTS FOR REPORTS AND DASHBOARDS * Design Elements for Reports and Dashboards * Utilize Standard Elements * Creating a Narrative and Other Written Elements * Understand Deployment Considerations 15 - UNDERSTAND DEPLOYMENT CONSIDERATIONS * Understand How Updates and Timing Affect Reporting * Differentiate Between Types of Reports 16 - SUMMARIZING THE IMPORTANCE OF DATA GOVERNANCE * Define Data Governance * Understand Access Requirements and Policies * Understand Security Requirements * Understand Entity Relationship Requirements 17 - APPLYING QUALITY CONTROL TO DATA * Describe Characteristics, Rules, and Metrics of Data Quality * Identify Reasons to Quality Check Data and Methods of Data Validation 18 - EXPLAINING MASTER DATA MANAGEMENT CONCEPTS * Explain the Basics of Master Data Management * Describe Master Data Management Processes ADDITIONAL COURSE DETAILS: Nexus Humans CompTIA Data Plus (DA0-001) 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 CompTIA Data Plus (DA0-001) 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.

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

Duration 1 Days 6 CPD hours This course is intended for This basic course is for: Business Analyst Systems Engineer Software Engineer Requirements Engineer Requirements Manager Requirements Team Leader Overview Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions Use DOORS external linking facilities Share DOORS information with 3rd parties Control the flow of changes through your DOORS database Apply configuration management and backup strategies to your DOORS data This course builds on the content learned in the IBM Engineering Requirements Management DOORS V9.6 Foundation course. It is designed for those who will be in the role of team lead or project manager, or who want to learn more about advanced DOORS end-user functionality. It discusses creating and structuring DOORS projects, defining linking relationships and attributes, setting access permissions, and managing change. It also discusses external linking, working with spreadsheets, and applying configuration management strategies to DOORS data. COURSE OUTLINE * Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions * Use DOORS external linking facilities * Share DOORS information with 3rd parties * Control the flow of changes through your DOORS database * Apply configuration management and backup strategies to your DOORS data

OBJECTIVE-C PROGRAMMING TRAINING COURSE DESCRIPTION A hands on introduction that will allow you to master Objective-C and start using it to write powerful native applications for even the newest Macs and iOS devices! Using The step-by-step approach, will let you get comfortable with Objective-C's unique capabilities and Apple's Xcode 5 development environment. Make the most of Objective-C objects and messaging. Work effectively with design patterns, collections, blocks, foundation classes, threading, Git and a whole lot more. Every session builds on what you've already learned, giving a rock-solid foundation for real-world success! WHAT WILL YOU LEARN * Use Xcode 5. * Declare classes, instance variables, properties, methods, and actions. * Use arrays, dictionaries, and sets. * Expand and extend classes with protocols, delegates, categories, and extensions. * Use Apple's powerful classes and frameworks. OBJECTIVE-C PROGRAMMING TRAINING COURSE DETAILS * Who will benefit: Developers wanting to learn Objective-C. * Prerequisites: Software development fundamentals. * Duration 5 days OBJECTIVE-C PROGRAMMING TRAINING COURSE CONTENTS * PART 1: GETTING STARTED WITH OBJECTIVE-C * The Developer Program: Objective-C, enrolling as an Apple Developer, setting up the development environment, Xcode. Your first project. * OO programming with Objective-C: OO projects, Frameworks, classes and instances, encapsulation, accessors, Inheritance. * OO features in Objective-C: Messages, methods, working with id, nesting messages, method signatures and parameters. allocating and initializing objects. Using Xcode: Xcode, source code control, git and Xcode, Using a Remote Repository. * Compiler Directives: Projects, Compiler Directives, Prefix headers, main.m, .h files. * PART 2: OBJECTIVE-C BASICS * Messaging in a Testbed App: Setting Up the Testbed Apps, Adding a Text Field and Connecting It to Your Code, Sending a Message to the Text Field, Reviewing the Message Syntax. * Declaring a Class in an Interface File: Context, Creating an Instance Variable with id, What Happens When Execution Stops, dynamic binding, Creating an Instance Variable for with the Class Name and with a Superclass Name, instance variable visibility. * Properties in an Interface File: Interface Variables vs Properties, Declared Properties, Using Attributes. Implementing Properties. @synthesize, @dynamic. * Methods in an Interface File: Methods in a Class, class and instance methods, Method declaration, returning complex data structures from Methods. * Actions in an Interface File: Actions, Actions in OS X and iOS, disconnecting actions. * Routing messages with selectors: Receiver and selector objects in messages, Objective-C Runtime, SEL and @selector (), performSelector, NSInvocation, testing whether an Instance can respond to a selector. * Building on the Foundation: The Foundation Framework, Foundation Classes, Foundation Paradigms and Policies; Mutability, class clusters, notifications. * Defining a Class in Implementation Files: Projects, dynamic typing, creating a new App, implementing a method, expanding Classses with init Methods. * Organizing Data with Collections: Collecting Objects, Property Lists, Runtime, comparing the Collection Classes, Creating a Collection, Objective-C Literal Syntax, Enumerating collections, Testing Membership in a Collection, Accessing an Object in a Collection. * Managing Memory and Runtime Objects: Managing objects in memory, managing reference counts manually and with ARC, variable qualifiers, variable autorelease. * PART 3: EXPANDING AND EXTENDING CLASSES * Protocols and Delegates: Subclassing, Protocols, Delegates, Looking Deeper Inside Protocols. * Categories and Extensions: Comparing categories and protocols, categories vs subclasses, working with categories, class extensions, informal protocols. * Associative References and Fast Enumeration: Objective-C 2.0 Time-Saving Features, Extending Classes by Adding Instance Variables (Sort of), Using Fast Enumeration. * Blocks: Revisiting Blocks, Callbacks, Blocks, Exploring Blocks in Cocoa, Cocoa Blocks and Memory. * PART 4: BEYOND THE BASICS * Handling Exceptions and Errors: Exception and Error classes: NSException, NSError, Identifying exceptions, throwing exceptions, catching exceptions. * Queues and Threading: Getting Started with Concurrency, Introducing Queues, Dispatch Sources, Using Dispatch Queues. * Working with the Debugger: Logging Information, Console Logs, NSLog, Smart Breakpoints, enhancing breakpoints with messages. * Using Xcode Debug Gauges for Analysis: Debug Gauges, Monitoing CPU and memory utilization, monitoring energy, Using Instruments. * PART 5: OPTIONAL TOPICS * C Syntax Summary: Data Types, Control Structures. * Apps, Packages, and Bundles: Project Bundles, lproj Files, Asset Catalogs, plist Files, Precompiled Header Files (.pch). * Archiving and Packaging Apps for Development and Testing: Archiving.