461 Analyst courses in Stonehaven delivered Live Online

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

Course Overview: The "Technical Analysis Masterclass for Trading & Investing" is a comprehensive course designed to equip learners with the essential skills to make informed trading and investment decisions using technical analysis. Covering a wide range of topics, from candlestick patterns to advanced trading strategies, this course empowers learners to interpret market data and identify trends effectively. By the end of the course, participants will have a solid understanding of how to analyse price movements, recognise key patterns, and apply strategies to improve their decision-making. With an emphasis on real-world applicability, learners will be prepared to confidently navigate the markets and pursue trading and investment opportunities. Course Description: This in-depth course dives into the core concepts and techniques used in technical analysis, ideal for those looking to sharpen their trading and investment skills. Learners will explore topics such as candlestick patterns, chart patterns, and volume analysis to understand market behaviours. Key focus areas also include tape reading strategies and technical trading systems, which are critical for timing market entries and exits. The course provides a structured learning experience, guiding participants through different methods of interpreting market data and applying analytical strategies to both short- and long-term trading. By mastering these techniques, learners will develop the skills to assess market conditions, identify profitable trends, and execute informed investment decisions with confidence. Course Modules: Module 01: Introduction to Technical Analysis Overview of technical analysis and its importance in trading and investing Key concepts and tools used in technical analysis Market data types and interpretation Module 02: Candlestick Patterns and Analysis Introduction to candlestick charting Key candlestick patterns and their significance Identifying trends and reversals Module 03: Trade and Investment Chart Patterns Common chart patterns: head and shoulders, triangles, and more How to interpret chart patterns for trade signals Setting up price targets using chart patterns Module 04: Volume Analysis Understanding volume and its role in market analysis Volume indicators and their applications Volume-based trading strategies Module 05: Tape Reading Strategies Introduction to tape reading and its historical significance Techniques for interpreting market order flow Understanding supply and demand through tape reading Module 06: Technical Trading Strategies Popular technical analysis strategies for trading Risk management and strategy development Implementing strategies for both short and long positions Module 07: Trading Platform and Practice Overview of different trading platforms and their features Using charting tools and indicators in platforms Best practices for executing trades and managing portfolios (See full curriculum) Who is this course for? Individuals seeking to enhance their trading and investment knowledge. Professionals aiming to refine their analytical skills for better decision-making. Beginners with an interest in financial markets and technical analysis. Investors wanting to better understand charting techniques and market trends. Career Path: Stock Trader Investment Analyst Financial Consultant Portfolio Manager Market Research Analyst Risk Manager

Certified Business Analysis Professional™ (CBAP®) Boot Camp: In-House Training The course provides targeted exam preparation support for IIBA® Level 3 - CBAP® exam candidates, including both a BABOK® Guide Version 3.0 content review and exam preparation tutorial. The class is interactive, combining discussion, application of concepts, study tips, and a practice exam. Knowledge Check quizzes and self-assessments allow candidates to identify areas of weakness and create a custom study plan tailored to their individual needs as well as study aids to support their exam preparation after the course. The course materials include a copy of A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide) Version 3.0. What you will Learn Upon completion, participants will be able to: Demonstrate familiarity with the structure and content of the IIBA® BABOK® Guide Improve their probability of passing the Level 3 - CBAP® Exam Identify their knowledge gaps through the use of module Knowledge Check quizzes Gauge their readiness for taking the exam by IIBA® BABOK® Guide Knowledge Are Foundation Concepts for IIBA® CBAP® Prep IIBA® - the Organization Business Analysis - the Profession Knowledge Check Terminology and Key Concepts IIBA®'s BABOK® Guide - the Standard Underlying Competencies BA Techniques Business Analysis Planning and Monitoring Knowledge Check Overview BAP&M Tasks BAP&M Techniques Elicitation and Collaboration Knowledge Check Overview E&C Tasks E&C Techniques Requirements Life Cycle Management Knowledge Check Overview RLCM Tasks RLCM Techniques Strategy Analysis Knowledge Check Overview SA Tasks SA Techniques Requirements Analysis and Design Definition Knowledge Check Overview RA&DD Tasks RA&DD Techniques Solution Evaluation Knowledge Check Overview SE Tasks SE Techniques Exam Preparation Practice Exam and debrief Exam Preparation Study Tips Manage Study Plan Exam Process Exam day

Duration 3 Days 18 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. Use advanced analysis techniques. Enhance reports and dashboards. Publish and share reports and dashboards. Extend Power BI beyond the desktop. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Using Advanced Analysis Techniques Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Perform Advanced Analysis Enhancing Reports and Dashboards Topic A: Enhance Reports Topic B: Enhance Dashboards Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Create and Manage Workspaces Topic C: Share Reports and Dashboards Extending Power BI Beyond the Desktop Topic A: Use Power BI Mobile Topic B: Extend Access with the Power BI API Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports. Overview Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets? Lesson 1: Exploring Tableau Reports Topic A: Data Analysis Workflow with Tableau Topic B: Explore Views Topic C: Edit Workbooks Lesson 2: Analyzing Data to Get Answers and Insights Topic A: Configure Marks with the Marks Card Topic B: Ask New Questions by Changing Aggregation Topic C: Find Answers with Calculations Topic D: Answer Questions with Table Calculations Lesson 3: Sorting and Grouping Data for Analysis and Reporting Topic A: Sort Data Topic B: Group Data Lesson 4: Filtering Views Topic A: Filter Data to Refine Analysis Topic B: Create Interactive Filters for Reports Lesson 5: Preparing Reports Topic A: Format and Annotate Views to Tell Your Story Topic B: Emphasize Data in Reports Topic C: Animate Visualizations for Clarity Lesson 6: Troubleshooting, Sharing, and Collaborating Topic A: Troubleshoot Data Issues Topic B: Collaborate in Tableau Online Topic C: Collaborate with Non-Tableau Users

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

Duration 2 Days 12 CPD hours Overview What is JIRA Software? Managing agile projects using JIRA Software Managing project backlog Managing iterations / sprints Managing releases / versions Managing project components Managing security Managing fields and screens Managing custom issue types Viewing various burn-down/burn-up reports This course introduces students to JIRA Software which is one of the most popular agile project management tool. Agile methods help in accelerating the delivery of initial business value. Continuous planning and feedback ensures that value is maximized throughout the development process. JIRA Software lets you manage project backlog, plan and execute sprints, and manage releases. It also lets you view useful reports, such as, velocity, various burndown / burn-up charts. Navigating JIRA Connecting to JIRA Software JIRA Account System Dashboard Sidebars Global Sidebar Search Help Dashboards Projects Boards Issues Project Sidebar Summary Managing Projects What is a Project? What is a Project (Contd.)? Backlog Sprints Versions / Releases Issues What is Component? Project Name and Key Project Key Format Editing Project Key Caveats Editing Project Key Deleting Project Summary Managing Versions What is Version What is Version (Contd.)? Merging Versions Other Version Options Version Fields What is Version? Summary Managing Issues Issues What are Epics? Epics ? Types Creating a new Epic What is a Story? Creating a Story Story Estimation Tasks Sub-tasks Summary Managing Sprints Sprints What is typically done in Sprint Planning? Velocity Agile Board Sprint Naming Convention Sprint Execution Summary Search & Using JQL Search Search Types JQL JQL Examples Sharing search result Save Search and Reuse in a Board Summary Working with JIRA Dashboards and Reports What is a JIRA Dashboard? Creating a JIRA Dashboard Choosing a Dashboard Layout What is a Gadget? Gadgets Available Out-of-the-box Adding a Gadget to a Dashboard Adding a Gadget to a Dashboard (Example Calendar Gadget) Moving a Gadget Removing a Gadget from a Dashboard Viewing Dashboard as a Wallboard Deleting a Dashboard JIRA Reports Generating a JIRA Report Generating a JIRA Report (Example ? Burndown Chart) Viewing the Burndown Chart Report Categories Available Out-of-the-box Agile Reports Issue Analysis Reports Forecast & Management Reports For further details ? Summary Jira Agile Common Jira Software boards Scrum Agility Kanban Scrum vs. Kanban Scrumban History of Kanban Kanban for software teams Kanban boards Kanban boards (Contd.) Kanban cards The benefits of Kanban Planning flexibility Shortened time cycles Fewer bottlenecks Visual metrics Continuous Delivery Kanban ? Kanban backlog Summary Miscellaneous Issue Features Voting Watching an Issue Adding/Removing Labels Linking Issues Linking Issue (Contd.) Commenting on Issue Attaching a File to an Issue Attaching a File to an Issue (Contd.) Cloning (Copying) an Issue Cloning (Copying) an Issue (Contd.) Cloning (copying) an Issue (Contd.) Viewing an Issue?s Change History Viewing an Issue's Change History (Contd. Summary Managing Fields & Screens (OPTIONAL: TIME PERMITTING) Fields OOB Fields Custom Fields Field Type Screens Summary