1663 Database courses

Are you looking to improve your current abilities or make a career move? Our unique C# (C-Sharp) Course might help you get there! Expand your expertise with high-quality training - study the C# (C-Sharp) and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the online training course. This C# (C-Sharp) online training course is accredited by CPD with 15 CPD points for professional development. Students can expect to complete this training course in around 13 hours. You'll also get dedicated expert assistance from us to answer any queries you may have while studying our course. The C# (C-Sharp) course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the C# (C-Sharp) course, you will receive an instant e-certificate as proof of comprehensive skill development and competency. Add these amazing new skills to your resume and boost your employability by simply enrolling on this course. With this comprehensive C# (C-Sharp) course, you can achieve your dreams and train for your ideal career. The C# (C-Sharp) course provides students with an in-depth learning experience that they can work through at their own pace to enhance their professional development. You'll get a Free Student ID card by enrolling in this course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. Enrolling in the C# (C-Sharp) course will ensure that you land your dream career faster than you thought possible. Stand out from the crowd and train for the job you want with the program. Learning Outcomes of C# (C-Sharp): Instant access to verified and reliable information Participation in inventive and interactive training exercises Quick assessment and guidance for all subjects CPD accreditation for proof of acquired skills and knowledge Freedom to study in any location and at a pace that suits you Expert support from dedicated tutors committed to online learning Why Prefer this C# (C-Sharp) Course? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support Experts created the C# (C-Sharp) course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this course and take a step toward a brighter future! ****Course Curriculum**** Here is the curriculum breakdown of this C# (C-Sharp) course: >> C# (C-Sharp) Course << Module 1: Introduction Module 2: Development Environment Setup Module 3: C# Console Programming - Basic Control Structures Module 4: C# Console Programming - More Advanced Concepts Module 5: WinForms Applications - The Basics Module 6: Multi-Document Interface (MDI) and More Database Operations Module 7: Managing Database Changes and CRUD Operations Module 8: User Management and Login Functionality Assessment Process Once you have completed all the modules in the C# (C-Sharp) course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

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The CILT(UK) Level 5 Professional Diploma in Logistics and Transport (QCF) is designed to enhance new and existing expertise in the supply chain, passenger transport, road freight or transport planning environments as well as developing core management skills.

SketchUp Course With Layout and V-Ray

Duration 5 Days 30 CPD hours This course is intended for This course is intended for administrators in a Microsoft-centric environment who want to build reusable units of automation, automate business processes, and enable less-technical colleagues to accomplish administrative tasks. Overview Describe the correct patterns for building modularized tools in Windows PowerShell Build highly modularized functions that comply with native PowerShell patterns Build controller scripts that expose user interfaces and automate business processes Manage data in a variety of formats Write automated tests for tools Debug tools This course covers advanced Windows PowerShell topics, with an emphasis on building reusable tools. Students are introduced to workflow, engage in best practices, and learn a variety of script development and toolmaking techniques. Tool Design Tools do one thing Tools are flexible Tools look native Start with a Command Why start with a command? Discovery and experimentation Build a Basic Function and Module Start with a basic function Create a script module Check prerequisites Run the new command Adding CmdletBinding and Parameterizing About CmdletBinding and common parameters Accepting pipeline input Mandatory-ness Parameter validation Parmeter aliases Emitting Objects as Output Assembling information Constructing and emitting output Quick tests An Interlude: Changing Your Approach Examining a script Critiquing a script Revising the script Using Verbose, Warning, and Informational Output Knowing the six channels Adding verbose and warning output Doing more with verbose output Informational output Comment-Based Help Where to put your help Getting started Going further with comment-based help Broken help Handling Errors Understanding errors and exceptions Bad handling Two reasons for exception handling Handling exceptions in our tool Capturing the actual exception Handling exceptions for non-commands Going further with exception handling Deprecated exception handling Basic Debugging Two kinds of bugs The ultimate goal of debugging Developing assumptions Write-Debug Set-PSBreakpoint The PowerShell ISE Going Deeper with Parameters Parameter positions Validation Multiple parameter sets Value from remaining arguments Help messages Aliases More CmdletBinding Writing Full Help External help Using PlatyPs Supporting online help ?About? topics Making your help updatable Unit Testing Your Code Sketching out the test Making something to test Expanding the test Going further with Pester Extending Output Types Understanding types The Extensible Type System Extending an object Using Update-TypeData Analyzing Your Script Performing a basic analysis Analyzing the analysis Publishing Your Tools Begin with a manifest Publishing to PowerShell Gallery Publishing to private repositories Basic Controllers: Automation Scripts and Menus Building a menu Using UIChoice Writing a process controller Proxy Functions A proxy example Creating the proxy base Modifying the proxy Adding or removing parameters Working with XML Data Simple: CliXML Importing native XML ConvertTo-XML Creating native XML from scratch Working with JSON Data Converting to JSON Converting from JSON Working with SQL Server Data SQL Server terminology and facts Connecting to the server and database Writing a query Running a query Invoke-SqlCmd Thinking about tool design patterns Design tools that use SQL Server for data storage Final Exam Lab problem Break down the problem Do the design Test the commands Code the tool

This intermediate- to advanced-level course will teach us to build our very own coffee shop application using iOS 16, Xcode 14, SwiftUI 4, and Firebase Firestore. The course will teach you to write clean and readable code and structure your app development that can easily be integrated with any coffee shop, fast food, or drink-serving service.

Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: Statistical Analysis Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course are Technology Consultants, System Administrators, System Architects, Database Administrators, Help Desk/COE Support, and Program/Project Managers. Overview Presentation in detail of the architecture of SAP NetWeaver Application Server (SAP NetWeaver AS).Learn effective techniques for navigating.Receive an overview of the development process in an SAP system landscape In this course, students gain knowledge about the fundamentals of SAP NetWeaver Application Server. SAP Systems Explaining the Key Capabilities of SAP NetWeaver Explaining the Architecture of an SAP System, Application Server (AS) ABAP and Application Server (AS) Java Navigation Basics Navigating with SAP Graphical User Interface (GUI) for Windows in AS ABAP Systems Navigating with a Browser in AS Java Systems System Core Explaining AS ABAP and AS Java System Architecture Identifying the Processes of an AS ABAP System Processing User Requests in AS ABAP Using Additional Processes of an AS ABAP System Explaining the Processes of an AS Java System Software Development in SAP Systems Outlining the Data Structure of an AS ABAP System Managing Transports in the ABAP Environment Explaining ABAP Workbench Tools Developing and Transporting an ABAP Repository Object Developing Applications in AS Java Developing Applications in Eclipse for ABAP Communication and Integration Technologies Describing Communication with Remote Function Call-Based (RFC) Technology Describing the Basics of Web Services Describing OData in SAP Gateway Application Lifecycle Management (ALM) Explaining Application Lifecycle Management (ALM) Describing the Installation of an SAP System Describing the Maintenance of an SAP System SAP Portfolio Overview Identifying the Platform, Database, and User Experience in the SAP Technology Portfolio Outlining Additional Components of the SAP Technology Portfolio Identifying the Components of the SAP Applications Portfolio SAP User Interfaces Accessing AS ABAP Systems with SAP GUI Accessing SAP Systems Using Other User Interfaces Additional Information Sources Accessing the SAP Service Marketplace (SMP) Accessing the SAP Community Network (SCN)

Navigate through emerging technologies, input and output devices, storage media, networks, databases, expert systems, and ICT applications.

Why choose SketchUp Basic to Intermediate Training Course? Click for more info SketchUp offers a user-friendly experience with its intuitive interface, enabling beginners to start smoothly and professionals to work efficiently. The software provides straightforward tools and shortcuts, ensuring precise and speedy creation of 3D models. Duration: 5 hrs Method: 1-on-1, Personalized attention Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm SketchUp is a popular and robust CAD solution designed for engineers, designers, architects, and more. Its powerful suite of tools includes customizable palettes, lighting effects, animations, textures, and access to the Trimble 3D warehouse. SketchUp Basic Training Course. 1 on 1 Training. 5 hours Understanding the Basics of SketchUpIntroduction to SketchUpNavigating the SketchUp EnvironmentExploring Zoom, Pan, and Rotate FunctionsFamiliarizing Yourself with the XYZ Axis Mastering SketchUp ToolsEfficient Toolbar SelectionsUtilizing Templates for ProjectsDrawing with Precision Using the Pencil ToolWorking with Fundamental Geometric ShapesTaking Accurate Measurements Advanced SketchUp TechniquesCreating Circles and ArcsHarnessing Sticky Geometry SolutionsUnveiling the Power of Tags (Formerly Layers)Streamlining Workflow with Keyboard ShortcutsAccurate Object Measurement within SketchUpInformation Management and Database UsageMoving and Copying ObjectsSimple Array TechniquesMastering Rotational ManipulationsEffortless Rotational CopyingFractional and Relative Scaling Component and Group CreationConstructing Components for ReusabilityCreating Efficient GroupsComparing the Advantages of Components and GroupsSaving and Reusing ComponentsImporting Components from Digital Repositories Advanced Modeling and GeometryLeveraging Push-Pull OperationsCreating Complex Shapes with the Follow Me ToolExploring Geometry IntersectionsDuplicating and Offsetting Faces, Edges, and PolygonsIncorporating 2D Polygons into Your DrawingsSkillful Use of the Paint Bucket Tool Materials and TexturesProficiency with the Materials EditorApplying High-Quality TexturesSourcing and Positioning TexturesGraphics and Bitmap ConsiderationsCrafting Scenes and StylesGenerating and Customizing ScenesManaging Scenes and Styles Introduction to Animation and PresentationAnimation ConceptsAdding Dimensions to Your SketchUp ModelsAnnotating Designs for ClarityPreparing Models for PrintingExporting Images and PDFs in 2D Formats