1945 Courses

Self, Health & Wealth - Women In Business Leadership Programme £149 per month (6 Month Programme) Designed for ambitious women who are ready to elevate their leadership potential, including: Aspiring Leaders: Women who are seeking to step into leadership roles but may feel held back by self-doubt, imposter syndrome, or lack of confidence. Mid-level Managers: Women already in management who want to refine their leadership skills, increase their visibility, and breakthrough to senior leadership positions. Entrepreneurs and Business Owners: Women who run their own businesses and are looking to build resilience, manage their health, and secure financial empowerment to lead with impact. Women Seeking Career Advancement: Professionals who want to strengthen their personal brand, develop effective communication strategies, and learn how to negotiate and advocate for their financial worth. Programme Structure Over 6 Months 3 x Online Masterclasses: Jan/March/May 2025 3 x Face-to-Face Seminars: Feb/April/June 2025 3 x 1:1 Online Coaching Sessions: Booked to accommodate your schedule and individual learning objectives. Core topics 1. Self-Development: Breaking Personal Barriers Understanding Leadership Identity: Gain clarity on your leadership style and strengths. Learn how to align your values with your professional goals to create a purpose-driven leadership approach. Overcoming Self-Doubt: Strategies to build confidence and combat imposter syndrome. Identify mental barriers and limiting beliefs that may hold you back and unlock your leadership potential. Personal Brand Development: Craft an authentic personal brand and establish visibility in your organisation or industry. Enhance your influence with effective communication strategies and master delivering impactful presentations that showcase your expertise and boost your leadership presence. 2. Health and Resilience: Leading with Energy Building Resilience: Learn how to maintain resilience under pressure, adapt to change, and manage stress effectively. Explore strategies for bouncing back from setbacks and sustaining peak performance. Work-Life Integration: Practical tools for achieving a balance between professional ambitions and personal well-being. Discover how to create boundaries, manage energy levels, and ensure self-care remains a priority. Mental and Emotional Wellness: Techniques for fostering mental clarity and emotional intelligence. Learn how to cultivate mindfulness, manage negative emotions, and stay motivated during challenging times. 3. Wealth and Financial Empowerment: Owning Your Future Financial Literacy for Leaders: Understand key financial concepts and how they impact decision-making at the leadership level. Learn how to manage budgets and understand financial reports. Negotiating for Success: Master the art of negotiation to advocate for fair compensation, promotions, and leadership opportunities. Learn how to confidently ask for what you’re worth and break through the gender pay gap. Building Sustainable Wealth: Develop long-term financial strategies to secure your financial independence. From building income streams to planning for the future, learn how to make empowered financial decisions. For more information email: engage@puritas.org.uk or visit www.puritas.org.uk

The main topics to be covered in this course are about everyday activities, family, friends, life events, remembering and forgetting, characteristics of people, holidays and more; Students practise their speaking, writing, listening and reading skills in and out of class with their teachers and classmates using their books and applications; The course is based on Ελληνικά Α and Κλικ στα Ελληνικά. In addition, there is a wide range of language material designed by the Greek LOL Teachers. All lessons are supported by educational applications to help students enrich their vocabulary and practise their Greek with fun and interactive exercises, videos and games.

Dive into the world of Progressive Web Apps (PWAs) with Alain Chautard, a seasoned software engineer and recognised Angular expert, in our immersive Build Progressive Web Apps with Angular course. Welcome to the future of web development! This expert-led course is meticulously designed to guide you on the path of building your very own Progressive Web App (PWA) using Angular. Whether you're an established developer aiming to diversify your skills, or you're a newbie excited to dive into the world of PWA development, this course is just what you need! The Build Progressive Web Apps with Angular course takes you on a journey from understanding the basics of PWAs to mastering their practical implementation using Angular. By the end of this course, you'll be able to turn a standard web application into a fast, reliable, and engaging Progressive Web App. Kick off with an enlightening 'Intro to PWAs', where Alain sets the foundation for your learning adventure. Feel the power of PWAs first-hand in the 'Demo of a PWA', showcasing how seamless and engaging these applications can be. From there, venture into the core components of PWAs: The 'Web App Manifest' and 'Service Workers'. Alain guides you through these crucial building blocks, equipping you with the know-how to unleash native features and make your app work offline. Expand your understanding of Service Workers in detailed sections on 'Service Worker Configuration: assetGroups and dataGroups'. Learn the nuts and bolts of these important facets, gaining the ability to finely tune the offline performance of your app. In 'Debugging Your Service Worker', Alain takes you through troubleshooting processes, ensuring you're well-prepared to handle real-world development challenges. Grasp the Angular-specific features in 'Implement Your Own App Update Process with Angular SwUpdate Service'. With this, you will achieve a sophisticated level of control over your app's update mechanism, enhancing user experience to new heights. Finally, immerse yourself in the world of interactive user engagement with 'Introduction to Push Notifications in the Browser' and 'Implement Your Own Notification Handler with SwPush'. With these skills, you will be able to deploy engaging notifications, thereby retaining and entertaining users like never before. Wrap up your journey with 'Conclusion and Resources', where Alain provides further materials to continue your learning adventure beyond the course. 'Build Progressive Web Apps with Angular' is not just another online course; it's a journey towards mastering the future of web applications. Whether you are a seasoned developer looking to upgrade your skills or a newbie stepping into the exciting world of PWAs, this course is your ticket to next-level web development. Join us today, and let's build better, faster, and more engaging web applications together! Learning Outcomes: Upon course completion, you should be able to: Gain a solid understanding of Progressive Web Apps (PWAs). Master web app manifest for unleashing native features. Learn how to make apps work offline using Service Workers. Grasp advanced service worker configuration for offline performance. Develop skills to debug service workers efficiently. Learn to implement custom app update processes with Angular's SwUpdate. Understand and implement push notifications in browsers. Handle user notifications effectively using Angular's SwPush. Who is this course for? This Build Progressive Web Apps with Angular course is ideal for: Web developers eager to upgrade their skills. Beginners enthusiastic about learning progressive web app development. Software engineers seeking proficiency in Angular and PWAs. Tech enthusiasts exploring new trends in web development. Professionals aspiring to enhance their portfolio with PWA projects. Career Path  This Build Progressive Web Apps with Angular course will help you to develop your knowledge to pursue different careers, such as: PWA Developer: A developer focused on building progressive web applications. The average salary in the UK ranges from £30,000 to £45,000 per year. Angular Developer: Specialising in building applications using the Angular framework, you can expect to earn £35,000 to £55,000 per year. Frontend Developer: A broader role where Angular and PWA skills would be a plus. Salary typically ranges from £28,000 to £52,000 annually. Full Stack Developer: Combining front-end skills like PWA and Angular with backend skills could see you earning £35,000 to £70,000 a year. Software Engineer: A more generalised role, but knowledge of PWAs and Angular can provide an edge. Salaries range between £35,000 and £80,000. Technical Lead/Team Lead: With experience, you could lead a team of developers, with salaries ranging from £50,000 to £90,000. Chief Technology Officer (CTO): At the top of the career path, a CTO in the UK can earn between £85,000 and £150,000+. Certification After studying the course materials of the Build Progressive Web Apps with Angular there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Prerequisites This Build Progressive Web Apps with Angular does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Build Progressive Web Apps with Angular was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Course Curriculum Build Progressive Web Apps with Angular Alain Chautard - 11 Intro to PWAs 00:05:00 Alain Chautard - 12 Demo of a PWA 00:02:00 Alain Chautard - 13 Web app manifest or how to unleash native features 00:03:00 Alain Chautard - 14 Service worker or how to make an app work offline 00:04:00 Alain Chautard - 31 Service worker configuration assetGoups 00:04:00 Alain Chautard - 32 Service worker configuration dataGroups 00:05:00 Alain Chautard - 33 Debugging your service worker 00:03:00 Alain Chautard - 41 Implement your own app update process with Angular SwUpdate service 00:04:00 Alain Chautard - 51 Introduction to push notifications in the browser 00:03:00 Alain Chautard - 52 Implement your own notification handler with SwPush 00:05:00 Alain Chautard - 6 Conclusion and resources 00:03:00

Understand the impact of food and dieting on human health and enrich your knowledge of nutrition and healthy eating with the Nutrition Fundamentals Level 2 course. In this course, you will gain an understanding of how diet affects our health, with an introduction to food groups, nutrients and the digestive system. You will learn how to create a healthy eating plan that promotes weight loss and boosts energy levels, breaking down the benefits of each superfood and why they are such important for heart health. Throughout this instructor-led training program, you will explore the role of proteins, fats and carbohydrates, their health benefits, and how to incorporate them into your diet. You will also learn about calorie intake and how the body works to store and burn fat.  Learning Objectives: Gain a comprehensive knowledge of food, nutrition and healthy dieting Understand the role of macronutrients, including their functions and benefits Learn about the average requirements for energy and nutrients in men, women and children Have a solid understanding of the functions of the digestive and metabolic systems Discover the key to maintaining a healthy weight and what should be included in a balanced diet Understand how to read food labels to determine the nutritional value Develop your understanding of detox diets and how to detox the body safely Who is this Course for? This course is suitable for those who are looking to kickstart their healthy eating journey, as well as those who are interested in a career in health and nutrition. It is an introductory program ideal for beginners who wish to gain the fundamental knowledge to implement new changes in their diet or increase their professional knowledge. There are no entry requirements for this course and learners of all academic backgrounds are welcome to enrol. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the course. Good understanding of English language, numeracy and ICT are required to attend this course. Certificate of Completion from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career Path On successful completion of the course_title] course, learners gain the accreditation and skills to kickstart their healthy eating journey and explore the following professions: Certified Nutritionist Dietician Health Educator Dietetic Assistant Course Curriculum Module 1: Basics of Food and Nutrition Basics of Food and Nutrition 00:15:00 Assessment Module 1 Module 01 Final Quiz Exam - Nutrition Fundamentals Level 2 00:10:00 Module 2: Macronutrients: Classification & Functions of Carbohydrates Macronutrients: Carbohydrates 00:20:00 Assessment Module 2 Module 02 Final Quiz Exam - Nutrition Fundamentals Level 2 00:10:00 Module 3: Macronutrients: Classification & Functions of Lipids and Proteins Macronutrients: Lipids and Proteins 00:25:00 Assessment Module 3 Module 03 Final Quiz Exam - Nutrition Fundamentals Level 2 00:10:00 Module 4: Micronutrients I & II Micronutrients I 00:10:00 Micronutrients II 00:20:00 Assessment Module 4 Module 04 Final Quiz Exam - Nutrition Fundamentals Level 2 00:10:00 Module 5: Digestion and Absorption Digestion and Absorption 00:15:00 Assessment Module 5 Module 05 Final Quiz Exam - Nutrition Fundamentals Level 2 00:10:00 Order Your Certificate

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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 5 Days 30 CPD hours This course is intended for Experienced Programmers and Systems Administrators. Overview Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to: ? Create working Python scripts following best practices ? Use python data types appropriately ? Read and write files with both text and binary data ? Search and replace text with regular expressions ? Get familiar with the standard library and its work-saving modules ? Use lesser-known but powerful Python data types ? Create 'real-world', professional Python applications ? Work with dates, times, and calendars ? Know when to use collections such as lists, dictionaries, and sets ? Understand Pythonic features such as comprehensions and iterators ? Write robust code using exception handling An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features. An Overview of Python What is python? 1 -- An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Built-in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings The standard library The sys module Launching external programs Math functions Random numbers The string module Reading CSV data Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the file system Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations 17 ? Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network services Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Parsing command-line options Detecting the current platform Trapping signals Implementing logging Python Timeline Advantages/Disadvantages of Python Getting help with pydoc

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: Cisco Partners and customers interested in the Catalyst 9800 wireless controller Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe Cisco Catalyst 9800 Understand the Benefits for Catalyst 9800 Configure Catalyst 9800 Migrate to the Catalyst 9800 Troubleshoot the Catalyst 9800 Understand and Discuss WIFI6 Configuring Cisco Catalyst 9800 and Intro to WIFI6 v1.0 is a three-day course designed to help students understand how the Catalyst 9800 Series wireless controllers combine the best of RF excellence with IOS XE benefits. This course begins with a description of the Cisco Catalyst 9800 and its benefits while introducing the learner to WIFI6. The configuration, migration, and troubleshooting will also be covered in this instructor-led course. Introduction Cisco Catalyst 9800 Overview Intent Based Networking (IBN) Cisco Catalyst Next Gen Wireless Architecture Cisco Catalyst 9800 Wireless ? Platform Support Cisco Catalyst 9800 Wireless Controller Appliances Cisco Catalyst 9800 Wireless Controller Series: C9800-80-K9 Cisco Catalyst 9800 Wireless Controller Series: C9800-40-K9 Cisco Catalyst 9800 Wireless Controller Cloud Series: C9800-CL-K9 Cisco Catalyst 9800 use in Private and Public Cloud Environments Private Public Hybrid What is WiFi 6 and Why do we need it? Use Cases ? how WiFi 6 will change Buisness and Industry WIFI6 technical ? a leap from previous WiFi technologies Design Considerations Cisco WiFi6 Portfolio and Interoperability Configure WiFi6 on Cat 9800 Cisco Catalyst 9800 Series Embedded Controller for SDA SD-Access Everywhere Wireless Assurance with DNA Center Catalyst 9800 SD-Access Wireless Catalyst 9800 SD-Access Embedded Wireless Controllers High Availability Reducing downtime for Upgrades and Unplanned Events High Availability (Client SSO) High Availability (AP & Client SSO) Software Updates Software Updates SSO Patching Rolling Upgrades Wireless Controller SMU Rolling AP Update Image Upgrade Programmability and Telemetry Flexible management options with Cisco Catalyst 9800 Wireless Controllers Wireless Programmability ?Stack? Config vs Operational YANG data models Model Driven Telemetry Security and Threat Detection Intent-based wireless networks Security Security and Threat Mitigation Catalyst 9800 Wireless Controller Configuration Model New Configuration Model AireOS vs. Catalyst 9800 Config Model Catalyst 9800 Config Model Wireless Basic Setup Wireless Basic Configuration Model Adding Local Site Adding Remote Site Provisioning APs to Site Day 0 AP PnP Wireless Advanced Guided UI Configuration Workflow WLAN Profile Policy Profile AP Join profile RF Profile Static and Rule-Based AP Tagging Migration AireOS Config Translator Using the Tool Migration using Prime AireOS Config Translator on PI 3.5 Troubleshooting IOS-XE logging architecture Packet tracing and packet captures Embedded Packet Capture web interface Useful commands and tools Additional course details: Nexus Humans Cisco Configuring Cisco Catalyst 9800 and Intro to WIFI6 (C98WF6) 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 Cisco Configuring Cisco Catalyst 9800 and Intro to WIFI6 (C98WF6) 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 3 Days 18 CPD hours This course is intended for This class is ideal for integration specialists or Salesforce Administrators who want to learn more about connecting and securing data in Tableau CRM. This course is also great for business analysts or developers interested in creating advanced dashboards. Overview When you complete this course, you will be able to: Determine your user, data, and security requirements, and establish a development process. Set up apps and control what users can do in Tableau CRM by assigning them licenses, permission sets, and app permissions. Load external data to Tableau CRM. Create and run dataflows to load Salesforce data, and join it with data from other datasets. Understand and use Data Sync effectively. Understand Recipes and Data Prep. Understand and implement data security in Tableau CRM, and override security for implementation and testing. Understand how filters on dashboards function and be able to use interactions when necessary. Understand a dashboard's JSON file. Explain the process of dashboard queries and modify a query to meet specific analytic requirements. Modify dataset metadata. Take your Tableau CRM skills to the next level. In this 3-day, expert-led class, you?ll learn how to develop and implement a Tableau CRM environment that contains both Salesforce and non-Salesforce data. Our team of experts will walk you through Tableau CRM features and settings, user setup, how to load and transform data, data security, and how to modify queries to customize dashboards so you can work more efficiently, spot trends, and predict outcomes faster. Discovery and Planning Discovery Meeting Establishing Your Users and Development Process Set Up Users and Apps Overview of User Access on the Tableau CRM Platform Creating Tableau CRM Permission Sets Assigning Licenses and Permission Sets to Users Creating and Sharing Tableau CRM Apps Connect Data Overview of Connecting Data Data Mapping Overview of the Dataflow Process Designing a Dataflow Loading External CSV Data Creating Dataflows Optimizing Dataflows Running, Monitoring, and Scheduling a Dataflow Preparing Datasets with Recipes with Data Prep Data Connectors Additional Transformations Data Security Overview of Security in Tableau CRM Determining Security Requirements Overview of Using Predicate Filters Implementing Ownership-Based Row-Level Security Implementing Role-Based Row-Level Security Implementing Team-Based Row-Level Security Overriding Security for Implementation and Testing Sharing Inheritance Extended Metadata in a Dataset Overview of Extended Metadata (XMD) Updating Field Metadata Adding Quick Action Menus for Records in Tableau CRM Dashboard Templates and Mobile Dashboards Overview of Tableau CRM Dashboard Templates Overview of JSON for Dashboards Building a Dashboard Using a Template Optimizing Dashboards for a Mobile Device Bindings in Dashboards Understanding Filters in Lenses and Dashboards Multi-Dataset Dashboards Filters with Interactions Custom Queries Query Modification Overview of Modifying Queries Maximizing the Use of the Compare Table Salesforce Analytics Query Language (SAQL) SAQL Queries in a Tableau CRM Dashboard Additional course details: Nexus Humans Salesforce Implement and Manage Tableau CRM (ANC301) 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 Implement and Manage Tableau CRM (ANC301) 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.