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Duration 3 Days 18 CPD hours This course is intended for Authors Overview Please refer to course overview This course provides authors with an introduction to build reports using Cognos Analytics. Techniques to enhance, customize, and manage reports will be explored. Activities will illustrate and reinforce key concepts during this learning opportunity. What is IBM Cognos Analytics - Reporting The Welcome page Consume report content Interactive filtering Working with reports Dimensionally modeled relational dataUse personal data sources and data modules Upload personal data Upload custom images Using navigation paths in a data module Examine list reports Group data Format columns Include headers and footers Aggregate fact data Identify differences in aggregation Multiple facts and repeated information Use shared dimensions to create multi-fact queries Present repeated information Add repeated information to reports Create a mailing list report Create crosstab reports Add measures to a crosstab Data sources for a crosstab Create complex crosstab reports Add items as peers Create crosstab nodes and crosstab members Work with crosstab data Format, sort, and aggregate a crosstab Create discontinuous crosstab reportsCreate visualization reports Visualization categories Customize visualizations Client side visualizations Enhanced map visualizations Focus reports using filters Create filters to narrow the focus Use advanced detail filters Apply a filter with aggregation Use summary filters Focus reports using prompts Examine parameters and prompts Create a parameter for a report item Add a prompt page Add a prompt item to a report Identify a prompt type Create a cascading prompt Use calculations What are calculations Add Date and Time functions Add string functions Display prompt selections in report titles Customize reports with conditional formatting Three steps for conditional formatting Create a variable Assign the variable to a report object Format based on the conditional value Conditionally render report objects Drill-through definitions Navigate to related data Enhance report layout View the structure of a report Use Guided report layout Force page breaks Create horizontal pagination Modify the report structure Format objects across reports Use additional report-building techniques Enhance a report design Add objects to reports Convert a list to a crosstab Explore reuse Additional course details: Nexus Humans B6258 IBM Cognos Analytics - Author Reports Fundamentals V11.1.x 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 B6258 IBM Cognos Analytics - Author Reports Fundamentals V11.1.x 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 To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

Duration 3 Days 18 CPD hours This course is intended for This course is intended for both novice and experienced project managers, managers, schedulers, and other project stake holders who need to incorporate the discipline of project management with Microsoft Project 2019. Overview Understand the discipline of project management as it applies to using Microsoft Project 2019. Create a Work Breakdown Structure. Identify Task Types & Relationships. Define Resources within Project. Make Work Package Estimates. Create an Initial Schedule. Create a Resource Leveled Schedule. Create Projects from templates, Excel files. Create Global templates. Create formulas and graphical indicators. The steps to record a macro. Format Output and Print Reports. Integrate Multiple Projects. Set up a Project with a Calendar, Start date, and scheduling method. Understand Manually Schedule vs. Auto Schedule. Manage multiple projects. Be able to create a master project list with shared resources. This three-day instructor-led course is intended for individuals who are interested in expanding their knowledge base and technical skills about Microsoft Project. The course begins with the basic concepts and leads students through all the functions they?ll need to plan and manage a small to medium-size project, including how to level resources and capture both cost and schedule progress. 1 - Introduction to Microsoft Project Describe how Project relates to the discipline of Project management. Learn what the new features are in Project 2019. Navigate to the primary views available using the Ribbon. Choose Views that display task, resource, or assignment information. Select table within views to change the information that is available to see and edit. Relate the features of Project to the 5 steps for building a plan in Project. Learn new accessibility features in Project 2 - A Quick and Easy Overview of Managing with Project Create a new project and prepare it for data entry. Enter project tasks. Sequence the tasks. Define resources. Estimate Task duration and assign resources. Baseline the project. Track project progress. 3 - Setting Up a Project Use multiple methods to create a new project from an Excel file and a SharePoint Tasks list. Establish one or more calendars to constrain resource availability. Configure Project to calculate the schedule from the Start Date forward, or from the Finish Date backward. 4 - Manually Schedule vs. Auto Schedule Students practice switching tasks between Manually Schedule and Auto Schedule modes. By switching modes, students learn the impact made on the project schedule and the individual tasks. 5 - Creating a Work Breakdown Structure Build and use summary and subordinate tasks. Understand and use milestones. Develop WBS Outlines. Assign completion criteria. Evaluate the WBS. Understand and use WBS templates. 6 - Identifying Task Relationships Understand the different types of task relationships. Understand and use various methods to create relationships. Determine and display task sequence. Understand and use lag, lead, and delay. Understand the new feature of Task Paths. 7 - Defining Resources within Project Define resource types. Define individual resources that will be used on the project. Record the cost (s) of using each type of resource. Record the limit of availability for each type of resource by establishing a resource calendar and defining the maximum units of that resource. 8 - Making Work Package Estimates Enter estimates for duration and costs for each task. Distinguish between task types and describe when each is appropriate. Describe the relationship between work, units, and duration. Describe the way Effort Driven scheduling is affected by work, units, and duration. Assign tasks to resources using the Team Planner view. 9 - Creating an Initial Schedule Calculate float and identify a project?s critical path. Understand and identify task constraints. Create milestones. Use the Task Inspector to troubleshoot the initial schedule. 10 - Create a Resource Leveled Schedule Adjust a project schedule to account for limited people and other resources. View the overall cost and schedule of a project. Identify resources that have been overallocated for a project schedule. Use multiple ways to adjust tasks and assignments to remove over allocation for any resource. 11 - Managing the Project Learn how to set a baseline. Lean how to enter and track project performance data. Learn how to apply different tracking methods. Learn how to perform a variance analysis on a project. Learn how to Reschedule Work Learn how to inactivate tasks Learn how to synch projects to SharePoint 12 - Formatting Output and Printing Reports Print Views Formats Sorting Filtering Grouping Custom Fields Reporting Other File Formats 13 - Managing Multiple Projects Learn how to use common resources among multiple projects. Learn how to link tasks between multiple projects. Learn how to create a consolidated view of multiple projects. 14 - Advanced Topics Learn how to customize the Ribbon and the Quick Access Toolbar. Learn how to customize WBS numbering. Learn the concepts of Formulas and Graphical indicators. Learn the purpose of the Global template and Organizer. Learn how to record a Macro.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for both novice and experienced project managers, managers, schedulers, and other project stake holders who need to incorporate the discipline of project management with Microsoft Project 2016. Overview ?Understand the discipline of project management as it applies to using Microsoft Project 2016.?Create a Work Breakdown Structure.?Identify Task Types & Relationships.?Define Resources within Project.?Make Work Package Estimates.?Create an Initial Schedule.?Create a Resource Leveled Schedule.?Create Projects from templates, Excel files.?Create Global templates.?Create formulas and graphical indicators.?The steps to record a macro.?Format Output and Print Reports.?Integrate Multiple Projects.?Set up a Project with a Calendar, Start date, and scheduling method.?Understand Manually Schedule vs. Auto Schedule.?Manage multiple projects.?Be able to create a master project list with shared resources. The course begins with the basic concepts and leads students through all the functions they?ll need to plan and manage a small to medium-size project, including how to level resources and capture both cost and schedule progress. Introduction to Microsoft Project Describe how Project relates to the discipline of Project management. Learn what the new features are in Project 2016. Navigate to the primary views available using the Ribbon. Choose Views that display task, resource, or assignment information. Select table within views to change the information that is available to see and edit. Relate the features of Project to the 5 steps for building a plan in Project. Lab 1: Introduction to Mastering Microsoft Project A Quick and Easy Overview of Managing with Project Create a new project and prepare it for data entry. Enter project tasks. Sequence the tasks. Define resources. Estimate Task duration and assign resources. Baseline the project. Track project progress. Lab 1: Creating a Basic Project with a template Lab 2: Creating a Basic Project Setting Up a Project Use multiple methods to create a new project from an Excel file and a SharePoint Tasks list. Establish one or more calendars to constrain resource availability. Configure Project to calculate the schedule from the Start Date forward, or from the Finish Date backward. Lab 1: Setting Up a Project Manually Schedule vs. Auto Schedule Students practice switching tasks between Manually Schedule and Auto Schedule modes. By switching modes, students learn the impact made on the project schedule and the individual tasks. Lab 1: Explore Task Modes Creating a Work Breakdown Structure Build and use summary and subordinate tasks. Understand and use milestones. Develop WBS Outlines. Assign completion criteria. Evaluate the WBS. Understand and use WBS templates. Lab 1: Manipulate a WBS Lab 2: Supporting the Project Plan Identifying Task Relationships Understand the different types of task relationships. Understand and use various methods to create relationships. Determine and display task sequence. Understand and use lag, lead, and delay. Understand the new feature of Task Paths. Lab 1: Display the sequence Defining Resources within Project Define resource types. Define individual resources that will be used on the project. Record the cost (s) of using each type of resource. Record the limit of availability for each type of resource by establishing a resource calendar and defining the maximum units of that resource. Lab 1: Resource Calendar and Availability Making Work Package Estimates Enter estimates for duration and costs for each task. Distinguish between task types and describe when each is appropriate. Describe the relationship between work, units, and duration. Describe the way Effort Driven scheduling is affected by work, units, and duration. Assign tasks to resources using the Team Planner view. Lab 1: Work, Duration and Labor Creating an Initial Schedule Calculate float and identify a project?s critical path. Understand and identify task constraints. Create milestones. Use the Task Inspector to troubleshoot the initial schedule. Lab 1: Calculating an Initial schedule Create a Resource Leveled Schedule Adjust a project schedule to account for limited people and other resources. View the overall cost and schedule of a project. Identify resources that have been over allocated for a project schedule. Use multiple ways to adjust tasks and assignments to remove over allocation for any resource. Lab 1: Resource Leveling Managing the Project Learn how to set a baseline. Lean how to enter and track project performance data. Learn how to apply different tracking methods. Learn how to perform a variance analysis on a project. Lab 1: The Baseline Lab 2: Baselining & Tracking Performance Lab 3: Variance Formatting Output and Printing Reports Print Views Formats Sorting Filtering Grouping Custom Fields Reporting Other File Formats Lab 1: Use the Grouping Feature Lab 2: Create Reports in Project Managing Multiple Projects Learn how to use common resources among multiple projects. Learn how to link tasks between multiple projects. Learn how to create a consolidated view of multiple projects. Lab 1: Identifying Over allocated Resources from a Resource Pool and Consolidated File Advanced Topics Learn how to customize the Ribbon and the Quick Access Toolbar. Learn how to customize WBS numbering. Learn the concepts of Formulas and Graphical indicators. Learn the purpose of the Global template and Organizer. Learn how to use Task Deadlines. Learn how to record a Macro. Lab 1: Recording a Macro in Project Summary Learn how to access the Office App Store. Additional course details: Nexus Humans 55205 Mastering Microsoft Project 2016 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 55205 Mastering Microsoft Project 2016 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 intended for people in a variety of roles and fields who have a basic understanding of Microsoft Office and want to incorporate digital note-taking and note collaboration by using Microsoft OneNote. In addition to creating and modifying OneNote notebooks, this course will introduce you to inserting images and embedding files into notebooks, categorizing content, sharing content with OneDrive, and exporting content to other file formats. Overview In this course, you will develop digital note-taking skills by creating, modifying, and managing OneNote notebooks that work with other Microsoft Office programs. You will: Navigate and customize the OneNote interface and environment. Add and format text, images, audio, links, and drawing objects to a notebook. Embed Excel spreadsheets and attach other files to a notebook. Categorize, organize, and search notebook content. Check spelling in, print, and password-protect notebooks. Use Outlook and OneDrive to send and share notebook content. Export notebook content and manage notebook history and backups. In our fast-paced digital world, the need to capture ideas, meeting notes, and to-do items is ever present. Microsoft© Office OneNote© for the Desktop provides a way for you to efficiently create and collect your notes in an electronic notebook. This course will introduce you to using OneNote notebooks to store a wide variety of content in an organized structure, access the content from anywhere, and also share it with others. Additionally, learning how OneNote and the other applications in the suite are integrated increases your productivity with Microsoft Office. This courseware is applicable to all users of the current OneNote desktop software. The classroom environment setup is based on the Office 2016 desktop application. Getting Started with OneNote Topic A: Navigate the OneNote 2016 Environment Topic B: Use Templates Topic C: Customize the OneNote User Interface Adding and Formatting Notebook Content Topic A: Apply Formatting to Notebook Content Topic B: Insert Images and Audio into a Notebook Topic C: Add Quick Notes and Links Topic D: Use Drawing Tools Embedding and Attaching Files Topic A: Embed Excel Spreadsheets Topic B: Attach Other File Types Organizing and Searching Notebooks Topic A: Use Tags Topic B: Organize and Search Notebooks Finalizing a Notebook Topic A: Proof and Print a Notebook Topic B: Configure Password Protection and Notebook Properties Managing Notebook Files Topic A: Export Content from OneNote Notebooks Topic B: Back Up and Restore Notebook Content Sending and Sharing OneNote Content Topic A: Send OneNote Content in Other Formats Topic B: Share OneNote Content by Using OneDrive

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS 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 The Machine Learning Pipeline on AWS 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 students who wish to use Microsoft Word to create and modify complex documents and use tools that allow them to customize those documents. Overview In this course, you will learn to create and modify complex documents and use tools that allow you to customize those documents. You will: Organize content using tables and charts. Customize formats using styles and themes. Insert content using Quick Parts. Use templates to automate document formatting. Control the flow of a document. Simplify and manage long documents. Use mail merge to create letters, envelopes, and labels. After you master the basics of creating, editing, and printing Microsoft© Word documents, you're ready to move on to tackling the more advanced features. In this course, you will work with features such as formats, styles, and templates to create professional documents with a consistent look and feel. You will add visual interest to your documents by using the tables and charts features. Quick Parts and templates provide efficiency and consistency when adding content, and long complex documents can be simplified and managed in Master Documents. Finally, you will use the mail merge feature to automate sending individual letters to customers. Creating professional-looking documents can give you and your organization a competitive edge. Implementing time-saving features such as document templates and automated mailings can help reduce expenses. Mastering these techniques will make you a valued employee in your organization. This course covers Microsoft Office Specialist Program exam objectives to help you prepare for the Word Associate (Office 365 and Office 2021): Exam MO-100 and Word Expert (Office 365 and Office 2021): Exam MO-101 certifications. Organizing Content Using Tables and Charts Topic A: Sort Table Data Topic B: Control Cell Layout Topic C: Perform Calculations in a Table Topic D: Create a Chart Topic E: Add an Excel Table to a Word Document (Optional) Customizing Formats Using Styles and Themes Topic A: Create and Modify Text Styles Topic B: Create Custom List or Table Styles Topic C: Apply Document Themes Inserting Content Using Quick Parts Topic A: Insert Building Blocks Topic B: Create and Modify Building Blocks Topic C: Insert Fields Using Quick Parts Using Templates to Automate Document Formatting Topic A: Create a Document Using a Template Topic B: Create and Modify a Template Topic C: Manage Templates with the Template Organizer Controlling the Flow of a Document Topic A: Control Paragraph Flow Topic B: Insert Section Breaks Topic C: Insert Columns Topic D: Link Text Boxes to Control Text Flow Simplifying and Managing Long Documents Topic A: Insert Blank and Cover Pages Topic B: Insert an Index Topic C: Insert a Table of Contents Topic D: Insert an Ancillary Table Topic E: Manage Outlines Topic F: Create a Master Document Using Mail Merge to Create Letters, Envelopes, and Labels Topic A: Use Mail Merge Topic B: Merge Envelopes and Labels Additional course details: Nexus Humans Microsoft Office Word 2021: Part 2 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 Office Word 2021: Part 2 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 class is intended for the following: Individuals preparing for the Associate Cloud Engineer examination. Recommended experience: 6 months+ hands-on experience with GCP This one-day instructor-led course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos, and hands-on labs, candidates will familiarize themselves with the domains covered by the examination. An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. With a shortage of cloud expertise in the job market, one which is projected to last for the next several years, Google Cloud certifications can be a way to differentiate yourself from the rest and prove you have not only the technical knowledge but the skills required to do the job. This course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam. It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan. This one-day instructor-led course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination. An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. With a shortage of cloud expertise in the job market, one which is projected to last for the next several years, Google Cloud certifications can be a way to differentiate yourself from the rest and prove you have not only the technical knowledge, but the skills required to do the job. This course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam. It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for: Network administrators Network engineers with little or no programming or Python experience Network managers Systems engineers Overview After taking this course, you should be able to: Create a Python script Describe data types commonly used in Python coding Describe Python strings and their use cases Describe Python loops, conditionals, operators, and their purposes and use cases Describe Python classes, methods, functions, namespaces, and scopes Describe the options for Python data manipulation and storage Describe Python modules and packages, their uses, and their benefits Explain how to manipulate user input in Python Describe error and exception management in Python Describe Python code debugging methods The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts. Course outline Introducing Programmability and Python for Network Engineers Scripting with Python Examining Python Data Types Manipulating Strings Describing Conditionals, Loops, and Operators Exploring Classes, Methods, Functions, Namespaces, and Scopes Exploring Data Storage Options Exploring Python Modules and Packages Gathering and Validating User Input Analyzing Exceptions and Error Management Examining Debugging Methods Course Summary Lab outline Execute Your First Python Program Use the Python Interactive Shell Explore Foundation Python Data Types Explore Complex Python Data Types Use Standard String Operations Use Basic Pattern Matching Reformat MAC Addresses Use the if-else Construct Use for Loops Use while Loops Create and Use Functions Create and Use Classes Use the Python main() Construct Traverse the File Structure Read Data in Comma-Separated Values (CSV) Format Read, Store, and Retrieve Data in XML Format Read, Store, and Retrieve Date in JavaScript Object Notation (JSON) Format Read, Store, and Retrieve Data in a Raw or Unstructured Format Import Modules from the Python Standard Library Import External Libraries Create a Python Module Prompt the User for Input Use Command-Line Arguments Manage Exceptions with the try-except Structure Manage Exceptions with the try-except-finally Structure Use Assertions Use Simple Debugging Methods Use the Python Debugger Code a Practical Debugging Script

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, and Business Process Owners/Team Leads/Power Users. In this course, students are enabled to transform Excel workbooks into captivating dashboards for executives and business users. Introduction to Dashboards Creating Interactive Dashboards Using an Embedded Excel Workbook in the Dashboard Data Visualizations with Charts Using Data in a Range Using Data in a Series Preparing Future Data by Ignoring End Blanks Dashboard Distribution Distributing a Dashboard Single Value Components Using Single Value Components Alerts Setting Up Alerts Selectors Using Selectors Setting Default Values for Selectors Selecting Multiple Items Common Components Using Images in a Dashboard Using Tables in a Dashboard Using an Interactive Calendar in a Dashboard Adding a URL to a Dashboard Components Used as Selectors Using the Chart Component as a Selector Using the Map Component as a Selector Format Options Configuring Proportional Size and Position Using Themes to Apply Formats Using Templates to Apply Formats Applying Globalization Dynamic Visability Adding Dynamic Visibility Using Formulas to Create Dynamic Visibility Creating Multi-Layer Dashboards Dashboard Design Optimization Optimizing Dashboard Design Dashboard Connection to Live Data Using Live Data Sources Setting Up an XML Connection Using Web Services to Connect to Data Using the Query Browser to Connect to Data Using the Portal Data Connection to Connect to Data Additional course details: Nexus Humans BOX310 SAP BusinessObjects Dashboards 4.1 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 BOX310 SAP BusinessObjects Dashboards 4.1 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.