Course Overview This comprehensive course on Coding (HTML, C++, Python, JavaScript & IT) offers a structured introduction to the world of coding and information technology. It covers an expansive array of programming languages and technologies, including HTML, CSS, JavaScript, C++, Python, and PHP, alongside key IT concepts such as cybersecurity, cloud computing, and network security. Learners will develop a deep understanding of programming logic, software development, web development, and essential IT operations. Whether you're aiming to explore programming for the first time or expand your technical skill set, this course equips you with the knowledge required to navigate modern computing systems and coding environments. Upon completion, learners will be better prepared to pursue roles in web development, programming, system administration, and IT support across various industries. Course Description This course delivers an in-depth exploration of both coding and IT fundamentals, offering a diverse curriculum that spans core programming languages such as HTML, C++, Python, JavaScript, and R. It extends into cybersecurity, Linux scripting, ethical hacking, and computer networking—creating a well-rounded foundation for digital fluency. Learners are introduced to the design and development of web applications, front-end and back-end technologies, and essential tools such as GitHub, Heroku, and MySQL. The course further includes IT administration, encryption methods, cloud infrastructure, and system troubleshooting, ensuring coverage of key concepts necessary in today’s tech-driven world. With a focus on conceptual clarity and structured progression, learners will gain valuable knowledge aligned with current industry needs and expectations. Course Modules Module 01: Introduction to Coding With HTML, CSS, & Javascript Module 02: C++ Development: The Complete Coding Guide Module 03: Python Programming: Beginner To Expert Module 04: Learn Ethical Hacking From A-Z: Beginner To Expert Module 05: Bash Scripting, Linux and Shell Programming Module 06: JavaScript Project – Game Development with JS Module 07: R Programming for Data Science Module 08: Secure Programming of Web Applications Module 09: Advanced Diploma in PHP Web Development with MySQL, GitHub & Heroku Module 10: The Complete Front-End Web Development Course! Module 11: The Complete MySQL Server from Scratch: Bootcamp Module 12: Cyber Security Awareness Training Module 13: Cloud Computing / CompTIA Cloud+ (CV0-002) Module 14: CompTIA A+ (220-1001) Module 15: Building Your Own Computer Module 16: Computer Networks Security from Scratch to Advanced Module 17: IT Administration and Networking Module 18: Encryption Module 19: Advance Windows 10 Troubleshooting for IT HelpDesk Module 20: Microsoft Excel Complete Course (See full curriculum) Who is this course for? Individuals seeking to understand programming languages and IT fundamentals. Professionals aiming to transition into coding or expand their IT knowledge. Beginners with an interest in computing, programming, or digital technologies. Students or career changers preparing for roles in the tech sector. Career Path Web Developer Software Programmer IT Support Technician Network Administrator Cybersecurity Analyst Cloud Computing Technician Data Analyst Systems Engineer Helpdesk Specialist IT Consultant
Business Intelligence: Virtual In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence
Earned Value Management: In-House Training: Virtual In-House Training Earned Value Management (EVM) incorporates a set of proven practices appropriate for project or program management methodologies. These include integration of program scope, schedule, and cost objectives, establishment of a baseline plan for accomplishment of program objectives and use of earned value techniques for performance measurement during the execution of a program. Earned Value Management (EVM) incorporates a set of proven practices appropriate for project or program management methodologies. These include integration of program scope, schedule, and cost objectives, establishment of a baseline plan for accomplishment of program objectives and use of earned value techniques for performance measurement during the execution of a program. EVM provides a solid platform for risk identification, corrective actions, and management re-planning as may be required over the life of a project or program. The course emphasis is on the latest EVM principles and concepts in accordance with changes and guidelines for Earned Value Management in The Guide to the Project Management Body of Knowledge (PMBOK® Guide) and The Practice Standard for Earned Value Management published by the Project Management Institute. What you Will Learn You'll learn how to: Develop a project baseline, using an effective WBS Record actual project performance Calculate EVM measures Evaluate project performance based on EVM measures Respond to project variances Integrate EVM and risk management Determine how EVM will add value to your organization Develop an EVM implementation plan for your organization Getting Started Introductions Course structure Course goals and objectives Expectations Foundation Concepts Introduction to Earned Value Management (EVM) Benefits of EVM EVM Process Overview Applications of EVM Creating a Work Breakdown Structure Reviewing WBS concepts Reviewing WBS development process (decomposition) Using a WBS to support EVM Building a Project Baseline Defining a project baseline Developing a project baseline Using a project baseline Recording Actuals Recording actuals overview Collecting data for actual project performance Determining earned value - various methods EVM Performance Measures Using current status measures Using forecasting measures Analyzing EVM measures EVM and Risk Management Integrating EVM and Risk Management Using EVM measures in the risk register Exploring how EVM can facilitate reserves management Drawing down contingency reserves Responding to Variances Introduction to variances Process for responding to variances Response options Reporting Project Performance EVM reporting overview Meeting EVM reporting needs Addressing EVM reporting challenges Implementing an EVMS Defining EVMS requirements EVM for Agile projects Tailoring the EVMS Summary and Next Steps Review of content Review of objectives / expectations Personal action plan
Duration 1 Days 6 CPD hours This course is intended for Individuals with basic computer skills, familiar with concepts related to database structure and terminology, and who want to use SQL to query databases. Overview Upon successful completion of this course, students will be able to: - connect to the SQL Server database and execute a simple query. - include a search condition in a simple query. - use various functions to perform calculations on data. - organize data obtained from a query before it is displayed on-screen. - retrieve data from tables. - format an output, save a result, and generate a report. In this course, students will compose SQL queries to retrieve desired information from a database. 1 - Executing a Simple Query Connect to the SQL Database Query a Database Save a Query Modify a Query Execute a Saved Query 2 - Performing a Conditional Search Search Using a Simple Condition Compare Column Values Search Using Multiple Conditions Search for a Range of Values and Null Values Retrieve Data Based on Patterns 3 - Working with Functions Perform Date Calculations Calculate Data Using Aggregate Functions Manipulate String Values 4 - Organizing Data Sort Data Rank Data Group Data Filter Grouped Data Summarize Grouped Data Use PIVOT and UNPIVOT Operators 5 - Retrieving Data from Tables Combine Results of Two Queries Compare the Results of Two Queries Retrieve Data by Joining Tables Check for Unmatched Records Retrieve Information from a Single Table Using Joins 6 - Presenting Query Results Save the Query Result Generate an XML Report
Practical SQL Advanced Intensive Course , exploring the advanced and less commonly used SQL Statements and techniques. We also learn Data Definition Language and Data Manipulation Language statements. as well as course automation of queries using T-SQL. Hands-on, Practical SQL Advanced Course. PCWorkshops SQL Advanced Course Certificate. Max 4 people per course; we keep it personalised.
This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.
Use the features in project to report effectively on your plans. Course overview Duration: 4 hours Our Project – Reporting course is aimed at experienced users of Project who need to create reports in their project plans. It looks at using the different types of report in Project, exporting data to other packages, building new reports and sharing reports between projects. Experience of using Project to create and resource plans is required. Objectives By the end of the course you will be able to: Print and PDF data from your project Use timelines Setup filters and groups Import and export data Create and share dashboard reports Content Printing and reporting Setup and Printing Creating PDFs Visual reports Using the Timeline Filtering and grouping Applying filters Applying grouping Creating your own filters and groups Importing and exporting data Importing data into Project Exporting data Creating and saving data maps Dashboard reports Using dashboard reports Creating dashboard reports Adding widgets Customising data shown
This one-day workshop is designed to help users work with advanced features within Word. It includes hands-on exercises to help make complex documents more manageable. Participants will learn how to share and collaborate on documents and track document changes. This course will help participants: Add document links to files, websites, bookmarks and headings Create and revise footnotes and endnotes Use cross-referencing Insert and mark a document index Use comments within a document Create and edit document templates Set up picture and table captioning Work with tracked changes, including viewing, accepting and rejecting changes Use tables of contents Transfer styles across files using styles organiser Protect and restrict the opening and editing of documents Work with document themes Work with subdocuments Use ribbon buttons and groups 1 Adding document links Adding links to a document Linking to files, websites and email Adding and linking to bookmarks Linking to document headings 2 Captioning and cross-referencing Inserting picture and table captions Creating and updating a table of figures Adding and revising endnotes and footnotes Understanding cross-reference types Creating a cross-reference Marking and inserting a document index 3 Collaborating on documents Inserting and viewing documents Navigating through comments Replying to a comment Printing comments 4 Tracking changes Using tracking changes within a document Choosing how to view document revisions Accepting and rejecting changes 5 Comparing documents Comparing two documents Combining changes into a single document Accepting and rejecting changes 6 Protecting a document Restricting opening or editing of documents Defining regions for editing Restricting document formatting 7 Outline view Collapsing paragraphs with heading styles Managing files with subdocuments Editing and locking subdocuments Sharing subdocuments 8 Document themes Standardise document formatting with themes Using a theme to match corporate branding Transferring themes across files 9 Creating templates Creating and editing document templates Adding font and heading styles to templates Defining file locations for shared templates Copying styles across templates and files 10 Customising the ribbon Customising ribbon buttons Adding new ribbons Adding buttons to ribbon groups
Want to have an automated Finance solution in Power BI/Microsoft Fabric without the expense and overhead of hiring consultants or contractors? Want to actually build this yourself so that you can learn in the process (and are able to mantain it) but need guidance and support on how to do this? You're in the right place! With this package of personal training hours, we can design and build a simple solution around month-end reporting (based on a Trial Balance) or replicating an existing Excel-based finance process in Power BI/Fabric where feasible!