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Duration 2 Days 12 CPD hours Overview Identify and configure basic functions of Tableau. Connect to data sources, import data into Tableau, and save Tableau files Create views and customize data in visualizations. Manage, sort, and group data. Save and share data sources and workbooks. Filter data in views. Customize visualizations with annotations, highlights, and advanced features. Create and enhance dashboards in Tableau. Create and enhance stories in Tableau As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise 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 advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets?. Lesson 1: Tableau Fundamentals Topic A: Overview of Tableau Topic B: Navigate and Configure Tableau Lesson 2: Connecting to and Preparing Data Topic A: Connect to Data Topic B: Build a Data Model Topic C: Save Workbook Files Topic D: Prepare Data for Analysis Lesson 3: Exploring Data Topic A: Create Views Topic B: Customize Data in Visualizations Lesson 4: Managing, Sorting, and Grouping Data Topic A: Adjust Fields Topic B: Sort Data Topic C: Group Data Lesson 5: Saving, Publishing, and Sharing Data Topic A: Save Data Sources Topic B: Publish Data Sources and Visualizations Topic C: Share Workbooks for Collaboration Lesson 6: Filtering Data Topic A: Configure Worksheet Filters Topic B: Apply Advanced Filter Options Topic C: Create Interactive Filters Lesson 7: Customizing Visualizations Topic A: Format and Annotate Views Topic B: Emphasize Data in Visualizations Topic C: Create Animated Workbooks Topic D: Best Practices for Visual Design Lesson 8: Creating Dashboards in Tableau Topic A: Create Dashboards Topic B: Enhance Dashboards with Actions Topic C: Create Mobile Dashboards Lesson 9: Creating Stories in Tableau Topic A: Create Stories Topic B: Enhance Stories with Tooltips

Agile is not what you do, Agile is what you become! An introduction to the essentials of Agile Scrum as a delivery method. The same learning objectives as used in central government & public sector digital delivery projects. Agile is not what you do, Agile is what you become! Since 2012, all government departments have been required to use the Agile approach to project management, to build and run new digital services. As you begin your Agile journey, one of your first challenges will be understanding the rules and roles that support Agile delivery, some of the most frequently asked questions are "Which Agile framework is applicable to our business operating model?" or, "Is the Project Manager role equivalent to that of theProduct Owner?" and, "What does a Scrum Master do?" A strong corporate culture not accustomed to the Agile mindset can also be a difficult environment in which to implement Agile methods. In some cases, the company’s culture and practices may reward non-Agile milestones while inadvertently discouraging Agile success. This intensive two-day training course combines PowerPoint presentations, informal discussions and practical exercises to introduce you to Agile Scrum as a Delivery Method, without the impending pressure of having to pass a formal certification examination. Previous experience of Agile delivery is not a pre-requisite to attending this course, although it is assumed delegates have previously attended the Primer course, or have some understanding of Agile Scrum terms and practices. This course, designed by Agile Scrum practitioners and coaches with specialist experience of working on GDS (Government Digital Service) Service Standards compliant government and public sector projects has been accredited by The CPD Certification Service and is now available outside its usual central government and public sector digital delivery setting. Who this course is for Service and Programme Managers If you are a Service Manager or Programm Manager who wants to explore the benefits of transitioning to Agile ways of working and want to understand how your existing business processes and resource landscape will fit into an Agile delivery model, then this course aims to provide you with enough information to enable you to make an informed decision. Career ambitions If you are new to Agile and your intention is to pursue a career either as an Agile Scrum Master or Agile Product Owner, you will hopefully be provided with enough knowledge to enable you to determine which role best suits your Agile career ambitions. Frequently Asked Questions How this course differs from other Agile courses Delegates will learn the 'How', not just the 'What'! This course has been designed by highly experienced Agile practitioners and coaches with specialist real-life experience of working on GDS (Government Digital Service) Service Design Standard projects. Delegates will find that the learning objectives are significantly more detailed than with other Agile courses which only focus on teaching the learning objectives of The Scrum Guide. Delegates must take the certification assessment. No! During enrolment, delegates can opt out of taking the C-ASDM certification assessment. The online Agile Scrum as a Delivery Method – Essentials course quiz is optional Absolutely! Delegates are provided access to the online Agile knowledge quiz which accompanies the Agile Scrum as a Delivery Method – Essentials course. The quiz helps delegates gauge their level of attainment but is entirely optional. Delegates can take the certification assessment without enrolling on the course. Yes! Delegates with existing Agile project delivery experience can choose to take the certification assessment without enrolling on the course. I will receive my certificate as soon as I have completed the course You will initially receive an Assessment Completion report after completing the assessment. The report details the certification status: 'Pass' or 'Fail', and includes information on which questions were answered incorrectly. Your certificate is issued by the CPD Certification Service approximately four-to six-weeks after successfully completing and passing the C-ASDM Certification Assessment. A CPD certification is recognised by employers Yes! CPD certification is recognised by private and public sector employers, and in central government departments as a valuable way to evaluate the skills of an individual, and the quality of the learning activities. Listing your CPD certification as well as the number of CPD Points you have achieved on your CV is essentially showcasing your achievements in continuing your professional development. One CPD Point is equivalent to an hour of training CPD points are units that quantify time, and the quality of learning and development activities. Delegates will earn 3 CPD Points upon successful completion of the C-ASDM Certification Assessment or 13 CPD Points after completing the two-day course. My CPD certificate will expire after three years Your certificate will not expire however, best practice suggests a renewal after three years. You can do this by enrolling on the C-ASDM course to ensure your knowledge of Agile as a Delivery Method is up to date. Service features Two-day Agile Scrum training course The course uses eCommerce and other Business Case examples for context Optional online CPD certification assessment Optional Agile knowledge quiz to help delegates gauge level of attainment Online Retrospective feedback to enable continuous course improvements. Service benefits Delegates will understand the concepts and benefits of Agile Scrum development Scrum team roles and role accountabilities INVEST-compliant User Stories and BDD formatted Acceptance Criteria Agile approach to incremental project delivery Agile artefacts and Agile reports (burn-down & burn-up charts) Agile Events & Scrum rules Comparison: Agile methodologies (Lean, XP, SAFe & Scrum) Use of Kanban for workflow management Government Digital Service (GDS) Service Standards and Service Assessment Be able to communicate the ideals of Agile to stakeholders Service Agenda General knowledge Agile Delivery 101 Scrum process and sprints Applicability of Scrum Agile Manifesto Scrum roles and accountabilities Overview of Scrum roles (Core & Ancillary) Scrum Master role and role responsibilities Scrum Product Owner role and role responsibilities Scrum team Scrum events Sprint Planning Daily Scrums Sprint Reviews Sprint Retrospectives Scrum artefacts Product Backlog Sprint Backlog Increments Scrum Reports Burn-down and Burn-up Charts Scaling Scrum Working with multiple Scrum teams Working with distributed Scrum teams GDS (Government Digital Service) Service Standards Service Assessments Risks and challenges Risks and challenges of transitioning to Agile delivery Frequently asked questions Discussion on frequently asked Agile questions Agile knowledge quiz Examples of the multiple-choice questions in the optional online quiz On-going support Email support No Telephone support No Webchat support No Online support No Community Support Yes! Delegates are offered access to our private online 'Community of Agile Scrum Practitioners'. Delegates who achieve the pass mark for CPD certification are additionally offered access to our private 'Certified Scrum Practitioners’ Guild', a private Slack community of like-minded Agile professionals.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Duration 1 Days 6 CPD hours This course is intended for Reporting Fundamentals in Lightning Experience is ideal for Sales Rep/Managers, Service Rep/Managers, Beginning Admin, and Business Analyst/Solution Architects. Overview When you complete this course, you will be able to:Work with standard reports.Establish a report building process.Build custom reports using different reporting formats in Lightning.Group and summarize reports in Lightning.Use field filters and filter logic.Add charts and conditional highlighting.Create dashboards in Lightning This course will teach you how to customize existing reports as well as use the Salesforce reporting toolset to create your own reports. Introducing the CourseReports Tab, Folders, and Formats Navigate the Reports Tab to Find Suitable Reports Create Custom Folders in Classic to be Used in Lightning Describe the Different Formats of Reports Run and Modify Existing Reports Using the Report Builder Establish a Report Building Process Navigate the Report Builder Create Custom Reports Using a Standard Report Type Use Filters and Filter Logic Export Your Report Summarizing Your Data Understand the Difference Between a Summary and Matrix Report Use Bucket Fields to Segment Your Data Use Custom Summary Formulas to Perform Calculations on Your Report Data Getting More Insight from Your Data Add Conditional Highlighting to a Report Create Charts to Display Summary Data Schedule and Email a Report to Run Dashboards Articulate What a Dashboard Is Understand the Benefits of Creating Dashboards in Lightning Create a Dashboard Using the Dashboard Builder Additional course details: Nexus Humans Salesforce Reporting Fundamentals in Lightning Experience (RPX101) 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 Salesforce Reporting Fundamentals in Lightning Experience (RPX101) 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.

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

Course Information This course aims to empower you with the expertise to proficiently navigate process mapping and master the art of crafting Standard Operating Procedures (SOPs) within regulated environments. Whether you're engaged in activities that demand process improvement, continual enhancement, or SOP creation, this course offers invaluable insights tailored to your needs. It caters to individuals tasked with managing, documenting, and implementing processes and SOPs, irrespective of prior experience or skills. Our curriculum does not focus on specific software or approaches, focusing instead on fundamental principles and adaptable concepts applicable across diverse organisational landscapes. Benefits include: Hands-on experience in mapping processes An understanding of how process maps can be used to define, communicate and continually improve complex processes An understanding of best practice for SOPs using of process maps/process flow diagrams and process mind maps to complement text An insight into the preparation of concise and user friendly SOPs. This course is structured to encourage delegates to:  Discuss and develop ideas Develop a practical approach for creating process maps and writing SOPs Understand how to use process maps in SOPs effectively Discuss how process mapping for preparing SOPs can be applied to process improvement for SOPs. Is this course for you? The course is designed for all those with responsibility for managing, documenting and implementing processes and SOPs. It assumes no prior experience or skills. The course does not recommend any specific software or approach, but explores the principles and ideas that can be applied in any organisation. What will you learn? Hands-on experience in mapping processes An understanding of how process maps can be used to define, communicate and continually improve complex processes An understanding of best practice for SOPs using of process maps/process flow diagrams and process mind maps to complement text An insight into the preparation of concise and user friendly SOPs. By the end of the course you will be able to: Create process maps and write clearer more concise SOPs Understand how to use process maps in SOPs effectively Understand how process mapping can be applied to process improvement and better SOPs. Tutors Tutors will be comprised of (click the photos for biographies): Laura Brown Director, Laura Brown Training and Development David Butler VP of Quality, Resolian Programme Please note timings may be subject to alteration. Day 1 09:00 Welcome, Introductions and Course Objectives Why Companies manage by process. 10:00 Exercise 1 - First Steps Mechanisms for process mapping, levels at which it can be applied, and the roles and responsibilities of process owners. 10:30 Exercise 1 - Feedback 10:45 Break 11:00 Mapping Processes The stages involved in mapping processes including how to construct a SIPOC chart. 11:45 Exercise 2 - Mapping A Process A first opportunity to practice your new process mapping skills. 12:30 Exercise 2 - Feedback 13:00 Lunch 14:00 Exercise 3 - Discussion of Options for Format, Structure and Layout What Makes A Good SOP? Discussion of options for format, structure, level of detail of SOPs and the use of process maps for SOP writing. A case study example of a good SOP which uses a flow chart/process map. 14:45 Exercise 3 - Feedback 15:00 Break 15:15 A Case Study example of a good SOP that uses a flow chart / process map 15:30 Exercise 4 Discussion of the content of an SOP using a Process Map 15:35 Exercise 4 - Feedback 15:45 Key Writing Considerations 16:15 Exercise 5 16:45 Exercise 5 - Feedback 17:00 Close of Day Day 2 09:00 Review of Day 1 09:15 Using Metrics Selecting and using metrics to monitor and improve processes. 10:00 Exercise 6 - Practice in Process Mapping Creating Process Maps from multi-source information. 11:00 Break 11:15 Exercise 6 - Feedback 11:45 Common Pitfalls Common problems and tips for good Process Mapping. 12:15 Demonstration of Process Mapping on a PC 12:45 Lunch 13:30 Exercise 7 - Mind Mapping 14:30 Exercise 7 - Feedback 15:00 Break 15:15 Exercise 8 - Using Process Maps to Write an SOP Applying your process mapping skills as part of writing an SOP 15:30 Exercise 8 - Feedback 15:45 Course Review and Follow-up 16:00 Close of Course Extra Information Face-to-face course Course Material Course material will be available in PDF format for delegates attending this course. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course. The material will be emailed in advance of the course and RQA will not be providing any printed copies of the course notes during the training itself. Delegates wishing to have a hard copy of the notes should print these in advance to bring with them. Alternatively delegates are welcome to bring along their own portable devices to view the material during the training sessions. Remote course Course Material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking. You will need a stable internet connection, a microphone and a webcam. Development Level Learn

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