1681 Database courses in Manchester delivered Online

From coding your first line to shaping sleek, dynamic websites—this Python: 8 in 1 Premium Courses Bundle brings together essential programming languages and tools in one structured, online space. Whether you're eyeing full-stack roles or simply looking to boost your digital skillset, this suite includes Python, Go Lang, HTML, JavaScript, and more. Get to grips with the syntax and structure of today’s most in-demand web languages without any unnecessary distractions. Perfect for aspiring coders, self-taught enthusiasts, or those brushing up for career advancement, this content is built to deliver clarity, structure, and solid foundational knowledge. Learning Outcomes Understand Python syntax and basic object-oriented programming concepts. Write and edit HTML and CSS for structured web content layout. Use JavaScript to add interactive elements to websites. Learn SQL for managing and retrieving data from databases. Explore PHP to create dynamic website functionalities. Gain awareness of Go Lang's role in backend web development. Who is this Course For Beginners aiming to explore coding from the ground up. Freelancers wanting to offer wider website development services. Front-end learners ready to branch into full-stack territory. Self-learners looking for structured online content and clarity. Junior developers brushing up on syntax and coding principles. Hobbyists keen on building personal websites or web apps. Career changers moving into the digital tech space. IT students wanting extra resources alongside university studies. Career Path Junior Web Developer – Average salary: £27,000/year Python Developer – Average salary: £45,000/year Frontend Developer – Average salary: £35,000/year Full Stack Developer – Average salary: £42,000/year Backend Developer (Go Lang) – Average salary: £48,000/year Database Developer (SQL) – Average salary: £40,000/year

About this Training Course  This 3 full-day training course will introduce participants to the Microsoft Power BI® software solution for extracting, manipulating, visualising and analysing data. This is a very practical, hands-on course that takes participants through a series of exercises which help users understand the Power BI® environment, how to use the key areas of functionality, and how to apply the tools it contains to design and produce analyses of their own data. The first two days focus on learning the key concepts and practising these using clean, simple datasets. The third day provides participants with the opportunity to apply what they've learned to their own data. This makes the course far more relevant and meaningful for them, it allows our facilitator to help them structure their data models, queries and DAX formulas correctly, and it allows our facilitator to help them solve any additional problems that may arise but which were not covered as part of the standard the course. In addition, at the end of the day, each participant walks away with something of real, practical use for their job role. Many previous participants have remarked that they obtained the most value from the course during the third day because otherwise, they wouldn't be able to do what they need to do. This is an introductory course and although it does not assume any prior experience with Power BI®, participants will gain much more from the course if they have at least used Power BI® a little prior to attending. Participants who have taught themselves Power BI® will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included. Microsoft® PowerBI® is a trademark of Microsoft Corporation in the United States and/or other countries. Training Objectives Upon completion of this training course, participants will be able to: Confidently use the Power BI® solution, including Power BI® Desktop, PowerBI®.com and the Power BI® Gateway Extract data from a variety of data sources and manipulate the data extracted so it is ready for analysis Combine data sources together and gain an introductory understanding of the M language Write formulas using the DAX language for generating custom columns, measures and tables Design reports and dashboards using a wide range of both built-in and custom visuals Publish reports and dashboards to PowerBI®.com Share reports and dashboards with others using PowerBI®.com Customize reports and dashboards so that different user groups automatically see their own personalized views Target Audience This training course is intended for: Financial Analysts Accountants Budgeting and planning specialists Treasury Risk Managers Strategic Planners This is an introductory course and although it does not assume any prior experience with Power BI®, participants will gain much more from the course if they have at least used Power BI® a little prior to attending. Participants who have taught themselves Power BI® will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included. Course Level Basic or Foundation Trainer Your expert course leader has a Masters (Applied Finance & Investment), B.Comm (Accounting & Information Systems), CISA, FAIM, F Fin and is a Microsoft Certified Excel Expert. He has over 20 years' experience in financial modelling, forecasting, valuation, model auditing, and management reporting for clients throughout the world. He is skilled in the development and maintenance of analytical tools and financial models for middle-market companies to large corporates, at all levels of complexity, in both domestic and international settings. He has trained delegates from a wide variety of Oil & Gas companies including Chevron, Woodside, BHP Billiton, Petronas, Carigali, Shell, Nippon, Eni, Pertamina, Inpex, and many more. He provides training in financial modelling for companies throughout the Asia, Oceania, Middle East and African regions. Before his current role, he spent 6 years working in the Corporate and IT Consulting divisions of a large, multinational Chartered Accounting firm. He is the author of a number of white papers on financial modelling on subjects such as Financial Modelling Best Practices and Financial Model Auditing. Highlights from his oil and gas experience include: Development of economic models to assist Decision Analysts modelling for a wide range of scenarios for multinational oil & gas assets. Auditing and further development of life of project models for Chevron's Strategic Planning Division analysing their North West Shelf assets. Development of business plan and budgeting models for multinational oil & gas assets. Development of cash flow and taxation models for a variety of oil gas companies. Consulting on Sarbanes Oxley spreadsheet remediation and risk assessment. 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 post training support and fees applicable Accreditions And Affliations

Complete JavaScript training course description A hands on course covering JavaScript programming. Core JavaScript is covered first, including the basics, arrays, functions, classes, modules and Regular expressions. Client side JavaScript is then covered including JavaScript in browsers, Scripting CSS, the jQuery library and HTML APIs. What will you learn Read JavaScript. Write JavaScript. Debug JavaScript. Complete JavaScript training course details Who will benefit: Anyone wishing to learn JavaScript. Prerequisites: None. Duration 3 days Complete JavaScript training course contents CORE JAVASCRIPT Lexical structure: Character set, comments, literals, identifiers, and reserved words, optional semicolons.. Types, values and variables: Numbers, text, boolean values, null and undefines, the global object, wrapper objects, immutable primitive values and mutable object references, type conversions, variable declaration, variable scope. Expressions and operators: Primary expressions, object and array initializers, function definition expressions, property access expressions, invocation expressions, object creation expressions, operator overview, arithmetic expressions, relational expressions, logical expressions, assignment expressions, evaluation expressions, miscellaneous operators. Statements: Expression statements, compound and empty statements, declaration statements, conditionals, loops, jumps, miscellaneous statements, summary of JavaScript statements. Objects: Creating objects, querying and setting properties, deleting properties, testing properties, enumerating properties, property getters and setters, property attributes, object attributes, serializing objects, object methods. Arrays: Creating arrays, reading and writing array elements, sparse arrays, array length, adding and deleting array elements, iterating arrays, multi-dimensional arrays, array methods, FCMAScript 5 array methods, array type, array-like objects, strings as arrays. Functions: Defining functions, invoking functions, function arguments and parameters, functions as values, functions as namespaces, closures, function properties, methods and constructor, functional programming. Classes and modules: Classes and prototypes, classes and constructors, Java-style classes in JavaScript, augmenting classes, classes and types, object oriented techniques in JavaScript, subclasses, classes in ECMAScript 5, modules. Pattern matching and regular expressions: Defining regular expressions, string methods for pattern matching, the RegExp object. JavaScript subsets and extensions: JavaScript subsets, constants and scoped variables, destructuring assignment, iteration, shorthand functions, multiple catch clauses, E4X: ECMAScript for XML. Server-side JavaScript: Scripting Java with Rhino, asynchronous I/O with node. CLIENT SIDE JAVASCRIPT JavaScript in web browsers: Client side JavaScript, embedding JavaScript in HTML, execution of JavaScript programs, compatibility and interoperability, accessibility, security, client side frameworks. The Window object: Timers, browser location and navigation, browsing history, browser screen information, dialog boxes, error handling, document elements as window properties, multiple windows and frames. Scripting Documents: Overview of the DOM, selecting document elements, document structure and traversal, attributes, element content, creating, inserting and deleting nodes. Example: generating a table of contents, document and element geometry and scrolling, HTML forms, other document features. Scripting CSS: Overview of CSS, important CSS properties, scripting inline styles, querying computed styles, scripting CSS classes, scripting stylesheets. Handling events: Types of events, registering event handlers, event handler invocation, document load events, mouse events, mousewheel events, drag and drop events, text events, keyboard events. Scripted HTTP: Using XMLHttpRequest, HTTP by <script>: JSOMP, Comet with server-sent events. The jQuery library: jQuery basics, jQuery getters and setters, altering document structure, handling events with jQuery, Animated effects, Ajax with jQuery, Utility functions, jQuery selectors and selection methods, Extending jQuery with plug-ins. The jQuery UI library. Client side storage: localStorage and sessionStorage, Cookies, IE usingData persistence, Applicatioin storage and offline webapps. Scripted media and graphics: Scripting images, Scripting audio and video, SCG:scalable vector graphics, Graphics in a <canvas>. Scripted HTTP: Using XMLHttpRequest, HTTP by <script>: JSOMP, Comet with server-sent events. The jQuery library: jQuery basics, jQuery getters and setters, altering document structure, handling events with jQuery, Animated effects, Ajax with jQuery, Utility functions, jQuery selectors and selection methods, Extending jQuery with plug-ins. The jQuery UI library. Client side storage: localStorage and sessionStorage, Cookies, IE usingData persistence, Applicatioin storage and offline webapps. Scripted media and graphics: Scripting images, Scripting audio and video, SCG:scalable vector graphics, Graphics in a <canvas>. HTMLS APIs: Geolocation, history management, cross-origin messaging, web workers, type arrays and ArrayBuffers, blobs, the filesystem API, client side databases, web sockets.

IT support is the backbone of every modern workplace, handling everything from system glitches to data security concerns. This 8 in 1 IT Support Training Premium Bundle delivers a solid grounding in essential IT knowledge, covering cybersecurity, GDPR, and Microsoft Office tools like Word, Excel, Access, and Outlook. It’s tailored for those looking to improve technical understanding and boost their efficiency in digital environments. Alongside the technology, the course includes important regulation insights to help protect data and maintain ethical standards in any organisation. Whether you’re stepping into IT support or enhancing your current role, this bundle equips you with skills to manage systems and information confidently and responsibly. Learning Outcomes Understand core IT principles and system support basics. Learn cybersecurity fundamentals to safeguard digital environments. Gain knowledge of GDPR for data protection awareness. Develop proficiency in Microsoft Word and document creation. Improve spreadsheet skills using Microsoft Excel tools. Explore email management and database basics in Outlook and Access. Who is this Course For Aspiring IT support technicians entering the technology sector. Office staff managing IT-related tasks and communications. Data handlers responsible for maintaining privacy and GDPR rules. IT administrators improving Microsoft Office proficiency. Professionals supporting cybersecurity measures in organisations. Remote workers managing digital files and emails efficiently. Career changers interested in foundational IT and security skills. Helpdesk and technical support staff seeking online training. Career Path IT Support Technician – £22,000 to £30,000 per year Cybersecurity Analyst (Entry level) – £28,000 to £38,000 per year Data Protection Officer – £30,000 to £40,000 per year Microsoft Office Specialist – £24,000 to £32,000 per year Helpdesk Analyst – £22,000 to £29,000 per year IT Administrator – £25,000 to £33,000 per year

Description Learn the process of complete App development knowing the use of GraphQL, Prisma, Node, and React through the App Development Complete Diploma (GraphQL Prisma Node & React) course. Its contents aim to teach you the core aspects of app development so that you can establish your career learning all good of this course must. The course teaches you the functions of GraphQL, a query language for API so that you can learn how to build GraphQL server with Prisma, create a frontend CRUD App with React and Apollo Client, and upload files in GraphQL, Prisma, and React application. The App Development Complete Diploma (GraphQL Prisma Node & React) course will also teach you how to execute error handling in Prisma and React, develop your performance in React application, open Prisma and React application to Heroku, set page number in Prisma and React Appolo application, and accomplish web mark in GraphQL and Prisma. It will also teach how to execute, create, delete, and update data through CURD in Prisma and so many other effective features of app development. Look and learn its effective contents to become better app developer. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? App Development Complete Diploma (GraphQL Prisma Node & React) is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our App Development Complete Diploma (GraphQL Prisma Node & React) is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Big Picture of Prisma Prisma generates GraphQL API for your datamodel FREE 00:03:00 Connect your resolvers to Prisma API 00:03:00 What is Prisma Query Engine 00:01:00 What is DataModeling in Prisma 00:02:00 What databases are supported by Prisma 00:01:00 What is Prisma Cloud 00:02:00 VS Code Setup FREE 00:03:00 Setting up Prisma 00:11:00 Build GraphQL server with Prisma Update Prisma Data Model 00:12:00 Setup GraphQL server with Prisma 00:13:00 Setup env variables for Primisa endpoint 00:04:00 CRUD in Prisma Create Data Model in Prisma 00:04:00 Fetch Records from Database 00:10:00 Create, Update and Delete Record in Prisma 00:15:00 Create Frontend CRUD App with React and Apollo Client Create Apollo client in React Application 00:07:00 Connect Apollo Client to React 00:05:00 Fetch Data using Apollo Query Component 00:12:00 Understanding render Prop pattern in React 00:09:00 Creating Forms in React 00:10:00 Send GraphQL Mutation from React Component 00:10:00 Updating Apollo Cache After Mutation 00:10:00 Adding Routing with React Router 00:09:00 Render List items to Bootstrap card component 00:01:00 Query for Single Record 00:12:00 Edit Record using update Mutation 00:10:00 Mutation for Delete Record in React Apollo 00:08:00 Authentication in Prisma and GraphQL Restructure the resolver functions into separate folder 00:04:00 Signup User in Prisma and GraphQL 00:12:00 Login User in Prisma and GraphQL 00:07:00 Apply Authentication on Resolvers 00:09:00 Authentication in React Apollo Client Application Send Login Request from Frontend App 00:12:00 Save Token to LocalStorage after LoggedIn 00:03:00 Implement Logout User 00:08:00 Require Authentication on Edit and Delete 00:03:00 Implement Signup User on Frontend 00:12:00 Protect Routes in React using React Router 00:09:00 Add Authorization header to every request in React Apollo Client 00:13:00 Error Handling Create Error Message Component to render Errors 00:07:00 Adding Spinner for Loading Data 00:05:00 Pagination in Prisma and React Apollo Application Paginate List fo records of Prisma 00:06:00 Count all Records using Prisma Connection Query 00:15:00 Create Pagination Controls in Frontend Application 00:06:00 Implement Pagination in React Application 00:12:00 Filtering Records in Prisma 00:04:00 Create Search Course Component 00:05:00 Execute Search Query and display courses 00:10:00 Apply Sorting on the Records 00:07:00 Update Cache after creating records 00:03:00 Fix Cache after Delete Records 00:03:00 Optimistic UI In React Apollo Application Improve UI Performance using Optimistic UI in React Apollo 00:06:00 GraphQL Subscription Project Setup Deploy Prisma and React Application to Heroku Deploy Prisma Project to Heroku 00:13:00 Deploy React Project to Heroku 00:14:00 Subscriptions in Prisma and React Apollo Application GraphQL Subscription Project Setup 00:06:00 Prisma Subscription Demo 00:07:00 Creating Subscription in Prisma GraphQL Server 00:05:00 Subscription in React using Apollo Client 00:13:00 State Management in React Application using Apollo Link Setup Apollo Link State 00:05:00 Fetch Records from Apollo State using Query 00:06:00 Create Task Form Component 00:05:00 Save new Record in Apollo Link State 00:11:00 Update Cache using Fragments 00:11:00 Filter Tasks on the based on Status Value 00:16:00 File Upload in Prisma and React Setup Local Development Server with Prisma and Docker 00:09:00 File Upload Demo with Prisma and React 00:14:00 Bonus: React Fundamentals Create React App using create-react-app cli 00:02:00 Creating React Element 00:05:00 Creating Nested React Elements 00:08:00 How React uses React Elements to Create Virtual DOM 00:01:00 What is DOM 00:03:00 What is Virtual DOM 00:05:00 What are Components in React 00:04:00 Create Component in React 00:06:00 Adding Props Validations 00:03:00 Create Nested Components in React 00:05:00 Create State in React Component 00:08:00 Update Component State using Events 00:08:00 Iterate Array and render Components 00:05:00 Pass Function Parent to Child Component 00:09:00 Convert React Components to JSX 00:09:00 State in React Component 00:05:00 Shallow Merging with setState 00:06:00 Use Props PropTypes and default Props in React Component 00:06:00 Create Stateless Component in React 00:04:00 Communicate with Parent and Child Component 00:07:00 What are LifeCycle Methods in React Component 00:01:00 Types and Phases of LifeCycle Methods 00:04:00 LifeCycle Mounting Methods in Action 00:09:00 LifeCycle Updating Methods in Action 00:07:00 Handling Errors with componentDidCatch 00:08:00 Bonus: GraphQL Basics What is GraphQL 00:04:00 What is GraphQL Query 00:03:00 Arguments in GraphQL Query 00:01:00 Required Arguments in Query 00:02:00 GraphQL Schema and Types 00:04:00 Aliasis in GraphQL 00:02:00 Nested Fields 00:02:00 Operations in GraphQL 00:02:00 Variables in GraphQL 00:04:00 Create Mutations 00:03:00 Directives in GraphQL 00:02:00 Certificate and Transcript Order Your Certificates and Transcripts 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Spreadsheet chaos? Sorted. This Microsoft Excel: 8 in 1 Premium Courses Bundle goes far beyond basic number crunching. You’ll explore not just Excel, but also the full Microsoft Office suite—Word, PowerPoint, Outlook, Access, Project—plus Power BI and SQL for those ready to flirt with data like it’s the office gossip. Whether you're spreadsheet shy or pivot table proud, this bundle keeps things tidy, stylish and fully functional. The content takes you through formulas, formatting, business reporting, data visualisation, and database management with clear, structured learning. No fluff, no filler—just focused skills that help you navigate office software with the confidence of someone who actually knows what they're doing. Upgrade your workflow one formula at a time. Learning Outcomes: Build and manage Excel spreadsheets with confidence and clarity. Create professional documents and reports using MS Word. Deliver sharp, engaging slides with MS PowerPoint tools. Handle email, tasks and calendars using MS Outlook efficiently. Analyse data using Power BI and basic SQL queries. Organise databases using Access and manage projects in MS Project. Who is this Course For: Professionals handling spreadsheets and reports on a regular basis. Office staff looking to improve Microsoft Office fluency. Admins managing communication, scheduling and document creation. Individuals working in finance, HR or operations roles. Data beginners who want to explore Power BI and SQL basics. Project coordinators managing deadlines and resource tracking. Job seekers looking to polish their office software knowledge. Anyone who thinks “VLOOKUP” sounds like tech wizardry. Career Path: Data Entry Clerk – £21,000 average salary Office Administrator – £24,500 average salary Business Analyst Assistant – £28,000 average salary Project Coordinator – £32,000 average salary Junior Data Analyst – £30,500 average salary Executive Assistant – £33,000 average salary

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.

This course takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with Git and GitHub. With the help of exercises and activities, you will be able to grasp all the concepts of Git and GitHub with ease.

Unlock powerful office skills and get job-ready with the Excel Courses - Build Excel Skills: 8-in-1 Premium Online Courses Bundle. Designed for administrative, finance, data entry, and IT roles, this bundle combines must-have software and analytical skills including MS Excel, Data Entry, Mathematics, MS Word, MS PowerPoint, IT, Finance, and MS Access. 🔥 Master critical tools employers demand across industries ⏰ Time-sensitive offer for ambitious professionals like you ⭐ “Compete High has 4.8 on 'Reviews.io' and 4.3 on Trustpilot” 📈 Description Excel is the backbone of many job roles, and this 8-course bundle arms you with proficiency across the Microsoft Office suite and core financial and IT competencies. Excel in MS Excel and Data Entry, where precision and speed matter most. Support financial roles with strong Finance knowledge and sharpen your numerical skills with Mathematics. Produce professional documents and presentations through MS Word and MS PowerPoint. Expand your IT capabilities with essential IT skills and database management expertise using MS Access. ✔ Employers across finance, admin, and IT sectors highly value these skills. ✔ Become proficient in MS Excel, Data Entry, and MS Access for data management. ✔ Enhance your presentations and documentation with MS PowerPoint and MS Word. ✔ Broaden your tech and finance knowledge with IT and Finance fundamentals. Invest in your future with this comprehensive, career-focused bundle. ❓ FAQ Q: Who benefits from this bundle? A: Administrative assistants, finance clerks, data analysts, and IT support professionals. Q: Is prior knowledge needed? A: No. This bundle is designed for beginners and intermediates aiming to build solid skills. Q: Are courses accessible anytime? A: Yes, including MS Excel, Finance, and Data Entry modules.

This DataCamp Mini Bundle packs five essential tools for anyone serious about making sense of spreadsheets, rows, and numbers. With Data Analysis as the centrepiece, you’ll get to grips with Excel for day-to-day calculations, SQL for managing databases, Python for automation and logic, and MS Word because, let’s face it, people still love reports. Whether you're analysing trends, streamlining reports, or simply learning how to stop Excel from crashing, this bundle sets you up with digital skills that do more than just fill a CV—they help you get work done quicker and cleaner. Learning Outcomes: Learn to analyse datasets using basic and advanced techniques. Use Excel for formulas, formatting, and clear data presentation. Write Python code for tasks like sorting and data handling. Understand SQL commands to manage structured databases efficiently. Create professional documents using MS Word confidently. Combine multiple tools for complete data project workflows. Who Is This Course For: Data enthusiasts looking to sharpen their tech toolset. Analysts wanting to improve their coding and reporting skills. Admin professionals working daily with data-heavy tasks. Graduates preparing for digital and tech-based roles. Freelancers managing reports, forms, and basic automation. Career changers aiming for data-related office roles. Anyone tired of Excel errors and report formatting headaches. People who enjoy clean spreadsheets more than chaos. Career Path: Data Analyst – £38,000/year Python Developer – £45,000/year Database Administrator – £42,000/year Business Intelligence Analyst – £47,000/year Excel Specialist – £33,000/year Reporting Analyst – £36,000/year