207 Business Analyst courses in Cardiff delivered Live Online

SAFe® for Government: Virtual In-House Training Transitioning to Lean-Agile practices for building technology-based capabilities is especially challenging in the government context. But issues of legacy governance, contracting, and organizational barriers can be overcome with the right information and strategies. During this course, attendees will learn the principles and practices of the Scaled Agile Framework® (SAFe®), how to execute and release value through Agile Release Trains, and what it means to lead a Lean-Agile transformation of a program inside a government agency. Attendees gain an understanding of the Lean-Agile mindset and why it's an essential foundation for transformation. They'll also get practical advice on building high-performing, multi-vendor Agile teams and programs, managing technology investments in Lean flow, acquiring solutions with Agile contracting, launching the program, and planning and delivering value using SAFe®. Attendees also learn how specific leadership behaviors can drive successful organizational change in government. What you will Learn To perform the role of a SAFe® for Government leader, you should be able to: Transition government programs from traditional software and systems development models to Lean-Agile and DevOps mindsets, principles, and practices using SAFe® Adapt technology strategy, budgeting and forecasting, acquisition, compliance, and governance processes to flow-based practices using emerging government guidelines Organize government programs into one or more Agile Release Trains (ARTs) and execute in Program Increments (PIs) Explore Large Solution coordination in a government and multi-vendor environment Identify and internalize the mindset and leader behaviors essential to successful Lean-Agile transformation Follow success patterns for SAFe® implementations adapted to the government context Build a preliminary outline of next steps to begin and / or accelerate the SAFe® implementation in your program or agency Advancing Lean-Agile in government Embracing a Lean-Agile mindset Understanding SAFe® Principles Creating high-performing Agile teams and programs Planning with cadence and synchronization Delivering value in Program Increments Mapping the path to agency and program agility Leading successful change

Leading SAFe®: Virtual In-House Training During this course, attendees gain the knowledge necessary to lead a Lean-Agile enterprise by using the Scaled Agile Framework® (SAFe®) and its underlying principles derived from Lean, systems thinking, Agile development, product development flow, and DevOps. Participants in the class gain insights into mastering business agility to thrive in competitive markets. They discuss how to establish team and technical agility and organize and re-organize around the flow of value. Attendees also learn and practice the skills to support and execute PI Planning events and coordinate multiple Agile Release Trains (ARTs). Class participants will explore the importance of adopting a customer-centric mindset and Design-Thinking approach to Agile Product Delivery. Learners will also understand how to implement a Lean Portfolio Management function within their enterprise. What you will Learn After attending this class, attendees should be able to: Lead the transformation to business agility with SAFe® Become a Lean-Agile leader Understand customer needs Design Thinking Enable Agile Product delivery Implement Lean Portfolio Management Thrive in the digital age with business agility Become a Lean-Agile leader Establish Team and Technical Agility Build solutions with Agile Product Delivery Explore Lean Portfolio Management Lead the change Become a Certified SAFe® Agilist

AgileBA® Foundation and Practitioner: Virtual In-House Training The AgileBA® Foundation and Practitioner course takes you through a business understanding of the external and internal forces that underline the project from a business perspective, looks at modeling techniques, (As Is - To Be), and also provides an overview to project management (AgilePM) from an 'Agile' perspective. The course explains the role's relevance and involvement throughout the project.

Agile Release Plans: In-House Training While many Agile frameworks provide guidance on a focus on value and iterative development, many do not explain how that value is delivered to the customer. Release Plans have become an accepted and common practice to bridge the gap between the Product Vision and the Product Backlog (Agile requirements). In this course, you will be provided with an introduction to Agile and to Scrum, the most utilized Agile framework. You will also learn how the Vision, Roadmap, and Charter help to establish the Release Plan. The goal of this course is to equip you with the necessary knowledge, skills, and techniques to build Release Plans to ensure you deliver the most value to your customers. What you will Learn At the end of this program, you will be able to: Recall the Scrum framework elements (roles, events, and artifacts) Examine the benefits of Agile Develop a Product Vision and Roadmap Create an Agile Project Charter Prepare a Release Plan Write user stories to support a Product Backlog Foundation Concepts Introduction to Scrum Scrum Overview Agile Benefits Product Definition Business Goals Product Vision Product Roadmap Agile Project Charter Product Scope Project Risks Release Deadlines Sprint Durations Team Norms Release Planning Release Plan Process Select Stories and a Release Date Product Backlog User stories Building the product backlog Product Backlog Refinement Transitioning to the Scrum Team

Agile Sprint Planning: In-House Training The goal of the course is to provide you and your team with the ability to develop effective and realistic Sprint plans. Without effective Sprint Plans, iterations are set up for failure. But Sprint Planning cannot be improved on its own, in isolation. The Scrum processes are highly intertwined and influence each other. The surrounding artifacts, events, and roles must be examined closely, and enhanced, in order to improve Sprint Planning. This course will remind you of the theory to reinforce the principles, but will concentrate on next-level skills, so that you and the team are able to create realistic and usable Sprint Plans. This course is not introductory. You are already aware of the Scrum framework and have been implementing Scrum on your projects. Now is the time to improve efficiency and effectiveness, to facilitate successful Agile projects. What you will Learn You'll learn how to: Identify and correlate the key symptoms and root causes of ineffective sprint plans Improve key Product Backlog elements Evaluate Agile roles in sprint planning Appraise key product practices Enhance project transparency The Product Backlog User stories Acceptance Criteria Backlog Refinement Supporting Roles Product Owner (the Backlog) Development Team Stakeholders and SMEs Supporting Product Practices Roadmaps and release plans and story maps Definition of Done Technical Debt Transparency Daily Scrums Information radiators Retrospectives Sprint Planning Capacity and Velocity Sprint Planning Meetings The Sprint Backlog Summary What did we learn, and how can we implement this in our work environments?

Agile and Scrum Fundamentals: In-House Training The overall goal of the course is to provide learners with the fundamentals of what Agile and Scrum are, and how to effectively apply Agile methods in your projects. What you will Learn At the end of this program, you will be able to: Describe Agile and Scrum foundation concepts Compare and contrast Agile roles to traditional roles Initiate an Agile project Develop Release Plans Build an Iteration Plan Execute an Iteration Implement Agile in your environment Getting Started Introductions Workshop orientation Expectations Foundation Concepts Project Lifecycles What is Agile? Why Agile? A range of Agile methods Focus on Scrum The People Side of Agile A range of Agile roles Focus on Scrum roles Unique characteristics of Agile Teams Building effective Agile Teams Initiating an Agile Project Conducting Sprint Zero Setting the vision Building the Product Backlog and User Stories Defining Acceptance Criteria Planning Releases Planning releases Estimating user stories Prioritizing user stories Selecting a Sprint length Estimating velocity Creating a release plan Planning an Iteration Conducting the Sprint Planning Meeting Building the Sprint Backlog Creating a Sprint Plan Running an Iteration Executing Sprint activities Using Burn-down and Burn-up Charts Negotiating changes during a Sprint Conducting the Sprint Review Meeting Implementing Agile Conditions of success for implementing Agile and Scrum Implementing Agile Final words

The Agile Project Manager Change isn't coming, it's already here. The project environment is becoming more volatile, uncertain, complex, and ambiguous. Project management and project managers must transform and evolve in order to keep up with these changes. Agile has been a disruptor in the field of project management, having over 20 years of successes and benefits to organizations that have adopted their frameworks. The Agile frameworks have proven themselves to be more adept in dealing with this uncertainty. But Agile isn't just about following a different way of working. What do you need to learn, do, and become in order to continue in the current and future environment? It is a powerful combination of knowledge, competencies, and mindset. In an increasingly complicated project environment, this course provides participants with the knowledge needed to not only survive but thrive. What you will Learn At the end of this program, you will be able to: Evaluate the changing project environment and the needed knowledge, skills, and behaviors Demonstrate innovative project manager competencies of leading change, servant leadership, and focus on value Utilize Lean and Agile principles to maximize value and improve project performance Construct a hybrid Agile model that is unique to your project Assess your role in Business Agility as an Agile Project Manager Getting Started Introductions Workshop orientation Expectations Foundations Recap: What is Agile? A changed project environment The future project manager Agile Project Management Competencies Focusing on value Championing change Servant leadership Coaching / mentorship Facilitation Lean and Agile Principles Optimizing flow Making things small Continuous planning Just-In-Time requirements Visualizing work Hybrid Agile Considerations Considering a Hybrid Approach Examining Strengths and Weaknesses of Each Approach Selecting Waterfall / Agile Roles, Practices, and Techniques Reviewing Three Hybrid Scenarios Constructing the Hybrid Project Implementing Agile Pitfalls and Concerns Agile in the Organization Business Agility

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business analysts. Overview After completing this course, you should be able to:Describe the benefits of implementing an Operational Decision Manager solution, and the collaboration that is required between the business and development teamsIdentify the main user roles that are involved in designing and developing an Operational Decision Manager solution, and the tasks that are associated with each roleExplain modeling concepts and the UML notation that is relevant to modeling for business rules and eventsDefine and implement object models for business rulesSet up the rule authoring environment in Designer by working with decision services and synchronizing across development and business environmentsCustomize the vocabulary that is used in rulesDiscover and analyze business rules for implementationUse the Operational Decision Manager rule editors to author business rules and decision tablesRun tests and simulations in the Decision Center Enterprise console to validate decision logic and rule changesExplain governance issues and work with Operational Decision Manager features that support decision governance This course introduces business analysts to IBM Operational Decision Manager V8.7.1. You learn the concepts and skills that are necessary to capture, author, validate, and manage business rules with Operational Decision Manager. Course Outline Course introduction Introducing IBM Operational Decision Manager V8.7.1 Exercise: Operational Decision Manager in action Modeling for business rules Exercise: Building the model on paper Exercise: Implementing the model Understanding decision services Exercise: Setting up a decision service Working with the BOM Exercise: Working with the BOM Introducing Decision Center Exercise: Exploring the Decision Center Business console Exercise: Exploring the Decision Center Enterprise console Introducing rule authoring Exercise: Understanding the case study Discovering and analyzing rules Exercise: Discovering rules Exercise: Analyzing rules Working with conditions in rules Exercise: Working with conditions in rules Working with definitions in rules Exercise: Working with definitions in rules Writing complete rules Exercise: Writing complete rules Authoring decision tables and trees Exercise: Authoring decision tables and trees Exercise: Authoring rules: Putting it all together Running tests and simulations in the Enterprise console Exercise: Running tests and simulations in the Enterprise console Introducing decision governance Exercise: Working with the decision governance framework Course summary

OVERVIEW DIAD is a one-day, hands-on workshop for business analysts, covering the breadth of Power BI capabilities. The course focuses on five practical Labs and at the end of the day, attendees will better understand how to: Connect and transform data from a variety of data sources. Define business rules and KPIs. Explore data with powerful interactive visuals. Build stunning reports. Share their dashboards with their team business partners and publish them to the web. The course content is managed by the Power BI engineering team at Microsoft. There is no exam associated with the course. COURSE BENEFITS: Learn how to clean, transform, and load data from various sources Create and manage a data model in Power BI consisting of multiple tables connected with relationships Build Measures and other calculations in the DAX language to plot in reports Manage and share report assets to the Power BI Service WHO IS THE COURSE FOR? Data Analysts and Management Consultants with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence Analysts looking for a quick introduction to Power BI who don’t have the time for the full three day PL-300 course Marketers in data-intensive organisations who need new tools to build visually appealing, dynamic charts for their stakeholders to use LAB OUTLINE Lab 1 Accessing & Preparing The Data Load data from Excel and CSV sources Manipulate the data to prepare it for reporting Prepare tables in Power Query and load them into the data model Lab 2 Data Modelling And Exploration Create a range of different charts Highlight and cross-filter Create new groups and hierarchies Add new measures to the model Lab 3 Data Visualization Add conditional formatting to a report Add logos to a filter Import a custom visual Apply a custom theme Add bookmarks to the report to tell a story Lab 4 Publishing A Report And Creating A Dashboard Create a Workspace in the Power BI Service Publish a report to the Service Create a Dashboard and pin visuals to it Generate and view insights Lab 5 Collaboration Share a Dashboard Access a Dashboard on a Mobile Device

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.