1062 Microsoft 365 courses in Cardiff delivered Online

A course by Sekhar Metla IT Industry Expert RequirementsNo programming experience needed. You will learn everything you need to knowNo software is required in advance of the course (all software used in the course is free)No pre-knowledge is required - you will learn from basic Audience Beginner JavaScript, Python and MSSQL developers curious about data science development Anyone who wants to generate new income streams Anyone who wants to build websites Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Audience Beginner JavaScript, Python and MSSQL developers curious about data science development Anyone who wants to generate new income streams Anyone who wants to build websites Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer

If data is the new oil, then coding is your refinery. Whether you're exploring the depths of machine learning or navigating databases with ease, this course sharpens your edge in the competitive world of data science. With a sharp focus on three industry-leading languages—Python, JavaScript, and Microsoft SQL—you’ll build the solid foundations needed to analyse, automate, and query data confidently. From writing clean scripts to crafting smart SQL queries, you’ll develop the mindset to speak fluently in the language of data. Delivered entirely online, the course keeps your learning agile and accessible. Python lays the groundwork for analysis and automation, JavaScript helps in data visualisation and interaction, and SQL ensures you can command databases without blinking. It's not about ticking boxes—it’s about building fluency in what matters. Whether you're upskilling or aiming for a sharper digital edge, this course speaks directly to future-focused learners ready to code with purpose. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: JavaScript Section 01: Introduction Section 02: Basics Section 03: Operators Section 04: Conditional Statements Section 05: Control Flow Statements Section 06: Functions Section 07: Error Handling Section 08: Client-Side Validations Python Section 09: Introduction Section 10: Basic Section 11: Strings Section 12: Operators Section 13: Data Structures Section 14: Conditional Statements Section 15: control flow statements Section 16: core games Section 17: functions Section 18: args, KW args for Data Science Section 19: project Section 20: Object oriented programming [OOPs] Section 21: Methods Section 22: Class and Objects Section 23: Inheritance and Polymorphism Section 24: Encapsulation and Abstraction Section 25: OOPs Games Section 26: Modules and Packages Section 27: Error Handling Microsoft SQL Section 28: Introduction Section 29: Statements Section 30: Filtering Data Section 31: Functions Section 32: Joins Section 33: Advanced commands Section 34: Structure and Keys Section 35: Queries Section 36: Structure queries Section 37: Constraints Section 38: Backup and Restore Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn Python, JavaScript, and Microsoft SQL for Data science course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn Python, JavaScript, and Microsoft SQL for Data science course is open to all, with no formal entry requirements. Career path Upon successful completion of the Learn Python, JavaScript, and Microsoft SQL for Data science Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Data doesn’t speak for itself — it needs someone who can ask the right questions and write the right code. This course offers a focused introduction to three of the most widely used tools in data science: Python, JavaScript, and Microsoft SQL. You’ll explore how each language plays its part in working with data, from handling large datasets to performing analysis and visualisation. All delivered online, with no whiteboards, lab coats or cold meeting rooms involved. Whether you're curious about coding or keen to brush up on logic and structure, the course walks you through the essentials with clarity and purpose. You’ll look into the building blocks of each language, how they interact with data, and how they can be used to create meaningful insights. Designed for learners who prefer clear content over convoluted lectures, it's a straight-talking guide to getting started in data science — without trying to be clever for the sake of it. Course Curriculum: JavaScript Section 01: Introduction Section 02: Basics Section 03: Operators Section 04: Conditional Statements Section 05: Control Flow Statements Section 06: Functions Section 07: Error Handling Section 08: Client-Side Validations Python Section 09: Introduction Section 10: Basic Section 11: Strings Section 12: Operators Section 13: Data Structures Section 14: Conditional Statements Section 15: control flow statements Section 16: core games Section 17: functions Section 18: args, KW args for Data Science Section 19: project Section 20: Object oriented programming [OOPs] Section 21: Methods Section 22: Class and Objects Section 23: Inheritance and Polymorphism Section 24: Encapsulation and Abstraction Section 25: OOPs Games Section 26: Modules and Packages Section 27: Error Handling Microsoft SQL Section 28: Introduction Section 29: Statements Section 30: Filtering Data Section 31: Functions Section 32: Joins Section 33: Advanced commands Section 34: Structure and Keys Section 35: Queries Section 36: Structure queries Section 37: Constraints Section 38: Backup and Restore Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn Python, JavaScript, and Microsoft SQL for Data science course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn Python, JavaScript, and Microsoft SQL for Data science course is open to all, with no formal entry requirements. Career path Upon successful completion of the Learn Python, JavaScript, and Microsoft SQL for Data science Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Duration 0.625 Days 3.75 CPD hours This course is intended for This course is intended for individuals who want to gain basic knowledge of Windows 10 and Microsoft Office. Course Outline Introduction to the Windows 10 Desktop Managing Files and Folders in Windows 10 Word 2016 Ribbon and Navigation Excel 2016 Ribbon and Navigation PowerPoint 2016 Ribbon and Navigation Outlook 2016 Email/Calendar/Contacts Basics (lecture/demo only)

🚀 Unlock Your Excel Potential with the Microsoft Excel Crash Course 2024: Masterclass for Weekend! 🚀 Are you tired of spending endless hours trying to figure out Microsoft Excel on your own? Do you want to boost your skills and become an Excel pro without sacrificing your entire weekend? Look no further - our Microsoft Excel Crash Course 2024 is here to revolutionize the way you work with spreadsheets!   🔥 Why Excel Matters: In today's data-driven world, Excel proficiency is a non-negotiable skill. Whether you're a student, a professional, or someone looking to enhance your productivity, mastering Excel can open doors to new opportunities.   💡 What Sets Our Masterclass Apart: ✅ Weekend-Friendly Format: We get it - your time is precious! That's why our course is designed to be completed over a weekend, giving you the skills you need without disrupting your busy schedule. ✅ Hands-On Learning: Forget boring lectures! Dive straight into hands-on, practical exercises that reinforce your learning. Our step-by-step approach ensures you grasp each concept thoroughly. ✅ Up-to-Date Content: Excel evolves, and so do we! Our 2024 edition is packed with the latest features and best practices, ensuring you're on the cutting edge of spreadsheet mastery. ✅ Expert Guidance: Learn from seasoned Excel experts who've cracked the code to efficient and effective spreadsheet use. Benefit from their real-world insights and insider tips that go beyond basic functions. ✅ Lifetime Access: Purchase once, benefit forever! Gain access to our course materials, updates, and a supportive community, ensuring you stay on top of your Excel game for years to come.   📚 Course Highlights: 👉 Essential Excel Functions: From basic formulas to advanced functions, we cover it all. 👉 Data Visualization: Transform your data into impactful charts and graphs. 👉 Pivot Tables Mastery: Unlock the power of data analysis with Pivot Tables. 👉 Time-Saving Shortcuts: Work smarter, not harder, with keyboard shortcuts. 👉 Advanced Formulas: Impress your colleagues with advanced calculations. 👉 Automation with Macros: Streamline your tasks with Excel automation. 👉 Error Handling: Learn how to troubleshoot and avoid common mistakes.   🎓 Who Should Enroll: Professionals looking to enhance their spreadsheet skills. Students aiming to boost their academic performance. Entrepreneurs and business owners seeking data-driven insights. Anyone wanting to save time and increase productivity.   🌟 Get Ready to Excel! Don't miss out on this opportunity to become an Excel maestro in just one weekend! Enroll now in the Microsoft Excel Crash Course 2024: Masterclass for Weekend and empower yourself with the skills that will set you apart. 👉 Limited seats available. Secure your spot now! 👈 Disclaimer: Results may vary based on individual commitment and practice. Course Curriculum Module- 1 Introduction 00:00 Getting started on Windows, macOS, Android, and IOS 00:00 How to ask great questions 00:00 FAQ 00:00 Start Excel 00:00 Module- 2 Overview of top Excel tips 00:00 Add numbers like a pro 00:00 Save time by filling cells automatically 00:00 Did data enter into one column - Split it 00:00 Switch data around by transposing it 00:00 Sort and filter for quick results 00:00 Create a data table for tasks to make it easy 00:00 Make drop-down list 00:00 Quick Data Analysis 00:00 Great charts for your visualization 00:00 Pivot Tables for Data Analytics 00:00 Module- 3 Introduction 00:00 Basic formula operations 00:00 Mathematical functions level1 00:00 Mathematical functions level2 00:00 Text functions level1 00:00 Text functions level2 00:00 Logical functions 00:00 Date time functions 00:00 V Lookup formula 00:00 HLookup formula 00:00 HLookup Match formula 00:00 Match Index formula 00:00 Module- 4 Introduction 00:00 XLookup 00:00 Handling NA and Approximates match in XLookup 00:00 Wildcard matching in XLookup 00:00 Module- 5 Introduction 00:00 Split Text into columns 00:00 Flash Fill 00:00 Remove Duplicates 00:00 Data Validation 00:00 Get - import Data from Text 00:00 Get - import Data from CSV 00:00 Module- 6 Introduction 00:00 Creating Pivot Table 00:00 Value field settings 00:00 Number format 00:00 Pivot Table Design 00:00 Excel Exercise 00:00 Solution for Excel Exercise 00:00 Module- 7 Introduction 00:00 Excel Charts - Categories 00:00 Elements of a chart 00:00 Easy way to create charts 00:00 Column or Bar charts 00:00 Formatting charts 00:00 Line charts 00:00 Area charts 00:00 Pie and Doughnut charts 00:00 Format Area Plot or XY chart 00:00 Scatter or bubble charts 00:00

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Power Query and Power Pivot in Microsoft Excel:  A Quickstart Guide   Course Description   Copyright Ross Maynard 2022   Course Description Power Query and Power Pivot are two tools available in Microsoft Excel. If you are serious about data analysis, then you need to know how to use these tools. This Quickstart guide will give you the skills you need to get started with these powerful features. The Power Query tool allows you to import external data and then modify it to meet your needs, before loading it into Excel. These editing tasks are all things you can do manually in Excel, but Power Query greatly speeds things up when you have a large volume of data. The Power Pivot tool allows you to connect multiple data tables in an extended pivot table. Power Pivot also introduces new analysis and query tools to further enhance data analysis. If data analysis is your thing, then this course will help you get up to speed with these feature-filled tools. Through screen-capture video, the course provides a step-by-step guide to the foundation skills needed to use both Power Query and Power Pivot effectively. The course is designed to make your first steps into Power Query easy and to build your confidence to use them on your own. Both Power Query and Power Pivot are also available in Microsoft Power BI – the data visualisation suite. Once you have learned how to use Power Query and Power Pivot in Excel with this course, you’ll have a head start in getting to grips with Power BI Get up to speed with Power Query and Power Pivot in Microsoft Excel with this Quickstart guide.     Key Learning Points  On completion of the course, delegates will be able to: Use Power Query to load data from an external source into Microsoft Excel Clean and manipulate external data before loading it into Excel Consolidate separate files with Power Query Update Excel tables with new data in the same format Use Power Query to “unpivot” report tables to prepare the data for analysis Explain the core functionality of Power Pivot Link data tables together in the Power Pivot data model Create pivot tables that draw data from several source data tables Create performance measures and new analysis in the Power Pivot data model Use the most popular DAX query language functions in Power Pivot     Curriculum Lesson 1: Power Query Quickstart Lesson 2: Consolidating Files with Power Query Lesson 3: Unpivoting a Table Lesson 4: Power Pivot Quickstart Lesson 5: Power Pivot – Adding Data and Functionality Lesson 6: Key DAX Functions for Power Pivot Lesson 7: The DAX CALCULATE Function Lesson 8: Key Learning Points     Pre-Course Requirements There are no pre-course requirements     Additional Resources Starter spreadsheets for each lesson are provided so that learners can follow the steps presented.     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel     Questions What is the main feature of Power Query? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     What is the main feature of Power Pivot? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     Which of the following actions cannot be performed within Power Query? Split text into multiple columns Trimming text and removing spaces Creating calculated columns using DAX functions Make date based calculations   Which of the following statements is true? You can use Power Query to combine files that have the same format and open them all in the same spreadsheet You can use Power Query to link data tables and create pivot tables that pull data items from all the linked tables You can use Power Query to create interactive dashboard reports You can use Power Query to export data files to Microsoft Access and other databases     Which of the following provides a compelling case to use Power Pivot in Microsoft Excel? The data visualisation and presentation features of Power Pivot are much more powerful than those in Excel Power Pivot offers the ability to clean large files of data imported from other systems quickly Existing reports and tables can be “reverse engineered” (unpivoted) to create data tables for more advanced analysis Files sizes in Power Pivot are smaller than in Excel and there is no limit on the number of rows of data that can be stored. This makes it much faster and more efficient to use Power Pivot for large data sets     Power Pivot uses analysis functions from the DAX formula language. What does “DAX” stand for? Digital Architecture Extraction Data Arbitrage Extrapolation Display Analytics Extension Data Analysis Expressions Deeply Annoying Exercise   The DAX CALCULATE function is one of the most powerful and useful functions available in Power Pivot. Which statement best describes it? It performs row by row calculations defined by the user and adds the total of them all together for a specified table It performs row by row calculations defined by the user and displays the maximum result for a specified table It performs a defined calculation and then applies filters specified by the user It filters the data in a specified table according to criteria set by the user   As well as in Power Pivot in Microsoft Excel, in what application are DAX functions also available? Microsoft PowerPoint Microsoft Forms Microsoft Teams Microsoft Power BI   How do DAX functions differ from Microsoft Excel functions? DAX functions are designed specifically for use with SQL based data sources DAX functions are completely new and provide additional functionality within Microsoft Excel DAX functions never take a cell reference or a range as reference, but instead take a column or table as reference DAX date and time functions return a date as a serial number, whereas Excel date and time functions return a datetime data type  

From beginner to expert, this course will help you advance your career using Microsoft Excel skills.

Duration 2 Days 12 CPD hours This course is intended for Students should have a fundamental understanding of financial principles and business operations. An understanding of cloud computing is helpful but isn't necessary. Overview After completing this course, students will be able to: Describe the core capabilities of Dynamics 365 finance and operations apps Describe the capabilities and functionality of Dynamics 365 Finance Describe the capabilities and functionality of Dynamics 365 Supply Chain Management Describe the capabilities and functionality of Dynamics 365 Commerce Describe the capabilities and functionality of Dynamics 365 Human Resources Describe the capabilities and functionality of Dynamics 365 Project Operations (ERP) This course will provide you with a broad introduction to the finance and operations capabilities of Dynamics 365. You will become familiar with the concept of enterprise resource management (ERP), as well as each of the finance and operations apps, including Dynamics 365 Supply Chain Management, Dynamics 365 Finance, Dynamics 365 Commerce , Dynamics 365 Human Resources, and the ERP capabilities of Dynamics 365 Project Operations. This course will include lecture as well as hands-on-labs. Module 1: Explore the core capabilities of Dynamics 365 finance and operations apps Get introduced to the finance and operations apps Create reports and integrate finance and operations apps Module 2: Learn the fundamentals of Dynamics 365 Finance Explore Dynamics 365 Finance core capabilities Explore general ledger Explore accounts payable and accounts receivable Explore expense management, fixed asset management, and budgeting Module 3: Learn the fundamentals of Dynamics 365 Supply Chain Management Identify general capabilities of Dynamics 365 Supply Chain Management Explore warehouse and inventory capabilities Explore manufacturing strategies in Dynamics 365 Supply Chain Management Module 4: Learn the fundamentals of Dynamics 365 Commerce Explore Dynamics 365 Commerce capabilities Explore Microsoft Dynamics 365 B2B e-commerce, Store Commerce and Clienteling Module 5: Learn the fundamentals of Dynamics 365 Human Resources Explore Dynamics 365 Human Resources core capabilities Explore personnel management capabilities in Dynamics 365 Human Resources Module 6: Learn the fundamentals of Dynamics 365 Project Operations Identify project life cycle management capabilities in Dynamics 365 Project Operations Explore the project planning and execution capabilities of 365 Project Operations

Duration 3 Days 18 CPD hours This course teaches you how to solve a broad range of problems that can arise in organizations using Microsoft Exchange Online. In this course, you?ll troubleshoot many aspects of Microsoft Exchange Online, including mail flow, compliance, recipient problems, and cloud/on-premises hybrid configurations.