368 Analytics courses delivered Live Online

Digital Product Management Course Overview: The Digital Product Management course is designed to provide learners with a comprehensive understanding of managing digital products throughout their lifecycle. Covering key areas such as market analysis, strategy development, and product marketing, this course equips learners with essential skills to succeed in the fast-paced digital landscape. It explores core concepts of product management, offering a thorough introduction to the tools and processes involved in delivering successful digital products. Learners will gain the knowledge necessary to effectively manage a digital product from conception to launch, ultimately enhancing their career prospects in digital product management. Course Description: This course dives deep into the intricacies of digital product management, beginning with the basics and progressing through advanced concepts. Learners will explore market research, customer analysis, and strategy formulation to ensure product success. Modules also cover the creation of product roadmaps, understanding different development methodologies, and the use of analytics to measure product performance. Legal considerations and marketing strategies are also key components, offering a well-rounded understanding of the product management process. By the end of the course, learners will have the expertise needed to manage a digital product from ideation to its eventual market entry and beyond. Digital Product Management Curriculum: Module 01: Basics of Digital Product Management Module 02: Understanding Market and Customers Module 03: Strategy Development Module 04: Roadmap Module 05: Development Methodologies Module 06: Analytics and Metrics Module 07: Marketing Module 08: Legal Aspects (See full curriculum) Who is this course for? Individuals seeking to build a career in digital product management. Professionals aiming to enhance their product management skills. Beginners with an interest in managing digital products or services. Those looking to transition into a digital-focused career. Career Path: Digital Product Manager Product Development Manager Digital Marketing Specialist Project Manager in Tech Companies Product Strategist E-commerce Manager

Duration 4 Days 24 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Describe how Tanzu Kubernetes Grid fits in the VMware Tanzu portfolio Describe the Tanzu Kubernetes Grid architecture Deploy and manage Tanzu Kubernetes Grid management and supervisor clusters Deploy and manage Tanzu Kubernetes Grid workload clusters Deploy, configure, and manage Tanzu Kubernetes Grid packages Perform basic troubleshooting During this four-day course, you focus on installing VMware Tanzu© Kubernetes Grid? in a VMware vSphere© environment and provisioning and managing Tanzu Kubernetes Grid clusters. The course covers how to install Tanzu Kubernetes Grid packages for image registry, authentication, logging, ingress, multipod network interfaces, service discovery, and monitoring. The concepts learned in this course are transferable for users who must install Tanzu Kubernetes Grid on other supported clouds. Course Introduction Introductions and course logistics Course objectives Introducing VMware Tanzu Kubernetes Grid Identify the VMware Tanzu products responsible for Kubernetes life cycle management and describe the main differences between them Explain the core concepts of Tanzu Kubernetes Grid, including bootstrap, Tanzu Kubernetes Grid management, supervisor, and workload clusters List the components of a Tanzu Kubernetes Grid instance VMware Tanzu Kubernetes Grid CLI and API Illustrate how to use the Tanzu CLI Define the Carvel Tool set Define Cluster API Identify the infrastructure providers List the Cluster API controllers Identify the Cluster API custom resource definitions Authentication Explain how Kubernetes manages authentication with Management clusters Explain how Kubernetes manages authentication with supervisor clusters Define Pinniped Define Dex Describe the Pinniped authentication workflow Load Balancers Illustrate how load balancing works for the Kubernetes control plane Illustrate how load balancing works for application workload Explain how Tanzu Kubernetes Grid integrates with VMware NSX Advanced Load Balancer List load balancing options available on public clouds VMware Tanzu Kubernetes Grid on vSphere List the requirements for deploying a supervisor cluster List the steps to install a Tanzu Kubernetes Grid supervisor cluster Summarize the events of a supervisor cluster creation List the requirements for deploying a management cluster List the steps to install a Tanzu Kubernetes Grid management cluster Summarize the events of a management cluster creation Demonstrate how to use commands when working with management clusters VMware Tanzu Kubernetes Grid on Public Clouds List the requirements for deploying a management cluster on AWS and Microsoft Azure List the configuration options to install a Tanzu Kubernetes Grid a management cluster on AWS and Azure Tanzu Kubernetes Workload Clusters List the steps to build a custom image Describe the available customizations Identify the options for deploying Tanzu Kubernetes Grid clusters Explain the difference between the v1alpha3 and v1beta1 APIs Explain how Tanzu Kubernetes Grid clusters are created Discuss which VMs compose a Tanzu Kubernetes Grid cluster List the pods that run on a Tanzu Kubernetes Grid cluster Describe the Tanzu Kubernetes Grid core add-ons that are installed on a cluster Tanzu Kubernetes Grid Packages Define the Tanzu Kubernetes Grid packages Explain the difference between Auto-Managed and CLI-Managed packages Define packages repositories Configuring and Managing Tanzu Kubernetes Grid Operation and Analytics Packages Describe Cert-Manager Describe the Harbor Image Registry Describe Fluent Bit Identify the logs that Fluent Bit collects Explain basic Fluent Bit configuration Describe Prometheus and Grafana Configuring and Managing Tanzu Kubernetes Grid Networking Packages Describe the Contour ingress controller Demonstrate how to install Contour on a Tanzu Kubernetes Grid cluster Describe ExternalDNS Demonstrate how to install Service Discovery with ExternalDNS Describe Multus CNI Tanzu Kubernetes Grid Day 2 Operations List the load balancer configuration options in vSphere to load balance applications Demonstrate how to configure Ingress with the NodePortLocal Mode Explain how to install VMware Tanzu Application Platform Describe life cycle management in Tanzu Kubernetes Grid Explain how backup and restore are implemented in Tanzu Kubernetes Grid Describe Velero and Restic List the steps to back up a Workload cluster using Velero and Restic Troubleshooting Tanzu Kubernetes Grid Discuss the various Tanzu Kubernetes Grid logs Identify the location of Tanzu Kubernetes Grid logs Explain the purpose of crash diagnostics Demonstrate how to check the health of a Tanzu Kubernetes Grid cluster Explain packages cleanup procedures Explain management recovery procedures Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Tanzu Kubernetes Grid: Install, Configure, Manage [V2.0] 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 VMware Tanzu Kubernetes Grid: Install, Configure, Manage [V2.0] 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 Experienced system administrators or network administrators, software and DevOps engineers Overview By the end of the course, you should be able to meet the following objectives: Describe VMware NSX Advanced Load Balancer architecture Describe VMware NSX Advanced Load Balancer components and main functions Explain VMware NSX Advanced Load Balancer key features and benefits Describe and leverage VMware NSX Advanced Load Balancer REST API Describe and leverage VMware NSX Advanced Load Balancer SDKs with extended focus on Python SDK Leverage REST API and SDK features and functions to provision application delivery components Describe and leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations Describe and leverage VMware NSX Advanced Load Balancer Github, Docker (avinetworks/avitools), Ansible Galaxy and other open source resources to accelerate the automation planning and implementation Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to provision infrastructure components Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to automate and streamline application delivery services provisioning This three-day, fast-paced course provides comprehensive training on how to automate infrastructure and application components of VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key application delivery features of NSX Advanced Load Balancer (Avi Networks) features and functionality offered in VMware NSX Advanced Load Balancer 18.2 release and focuses on how to plan and implement automation of infrastructure and application components leveraging REST API, SDK or automation solutions such as Ansible, Terraform or similar. Access to a software-defined data center environment is provided through hands-on labs to reinforce the skills and concepts presented in the course. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases, and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and functions Virtual Services Configuration Concepts Explain Virtual Service components Explain Virtual Service types Explain and configure basic virtual services components such as Application Profiles, Network Profiles,Pools and Health Monitors Pools Configuration Concepts Explain and deep dive on Pool configuration options Describe multiple load balancing algorithms Explain multiple Health Monitor types Explain multiple Persistent profiles Explain and configure Pool Groups Leveraging NSX Advanced Load Balancer REST API Explain NSX Advanced Load Balancer automation vision Explain and introduce NSX Advanced Load Balancer REST API Describe NSX Advanced Load Balancer REST API methods and capabilities Describe NSX Advanced Load Balancer REST API session handling properties such authentication, API versioning and tenancy model Deep dive on NSX Advanced Load Balancer REST API Object Model Explain and investigate NSX Advanced Load Balancer REST API leveraging browser and command line utilities Explain and interact with NSX Advanced Load Balancer REST API leveraging browser, Postman and Curl Explain Swagger-based API Documentation Explain and leverage NSX Advanced Load Balancer Inventory API Explain and leverage NSX Advanced Load Balancer methods such as GET, PUT, POST and PATCH and associated queries, filters and parameters Deep dive on NSX Advanced Load Balancer PATCH method Explain and leverage NSX Advanced Load Balancer Analytics API Explain and leverage NSX Advanced Load Balancer MACRO API NSX Advanced Load Balancer Software-Defined Kits (SDKs) and ControlScripts Introduce NSX Advanced Load Balancer SDKs Describe, install and leverage NSX Advanced Load Balancer Python SDK Deep dive on NSX Advanced Load Balancer Python SDK Describe and leverage Golang SDK Leverage NSX Advanced Load Balancer open source resources such as Github, etc to accelerate SDKs adoption Describe NSX Advanced Load Balancer Events and Alerts framework Introduce ControlScripts foundations Leverage ControlScripts to automate configuration changes and alerts remediation Automating NSX Advanced Load Balancer Application Delivery Services with Ansible and Terraform Introduce NSX Advanced Load Balancer Configuration Orchestration and Management vision Introduce and explain Ansible foundations Describe Ansible and NSX Advanced Load Balancer Ansible capabilities Deep dive and implement NSX Advanced Load Balancer Ansible Core configuration modules (avinetworks/avisdk) Deep dive and implement Ansible NSX Advanced Load Balancer Declarative configuration role (avinetworks/aviconfig) Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Ansible playbooks Explain application delivery configuration automation approach and models Apply configuration automation models with Ansible Introduce and explain Terraform foundations Describe Terraform and NSX Advanced Load Balancer Terraform capabilities Deep dive and implement NSX Advanced Load Balancer Terraform Provider Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Terraform plans Apply configuration automation models with Terraform Automating NSX Advanced Load Balancer Infrastructure with Ansible and Terraform Introduce NSX Advanced Load Balancer infrastructure Automation vision Describe infrastructure deployment approach and capabilities Describe Ansible and NSX Advanced Load Balancer Ansible Infrastructure deployment approach and capabilities Describe Terraform and NSX Advanced Load Balancer Terraform deployment approach and capabilities Leverage Terraform to deploy Controllers and perform system configuration, including control plane cluster setup Leverage Terraform to provision Cloud, Service Engine Groups and Service Engine components Describe and leverage Ansible roles to deploy Controllers and perform initial system configuration, including control plane cluster setup Leverage Ansible declarative and core roles to provision Cloud, Service Engine Groups and Service Engine components Describe and implement combined Terraform + Ansible model to streamline NSX Advanced Load Balancer solution deployment

Learn how to work with data using Python (the coding language) as a tool. Learn how data is structured and how to manipulate it into a usable, clean form ready for analysis. Work on a small real-life project from conception to solution, in a team or on your own.

LinkedIn Marketing Masterclass Course Overview The LinkedIn Marketing Masterclass provides a comprehensive understanding of using LinkedIn as a powerful marketing tool. This course covers everything from creating an optimised LinkedIn profile to developing advanced content strategies, running targeted ad campaigns, and measuring marketing success. It aims to equip learners with the skills to enhance their personal or business brand, increase engagement, and drive traffic to their services or products. By the end of the course, learners will be confident in navigating LinkedIn’s features and tools to generate quality leads and achieve their marketing goals. Course Description This course delves into a variety of key topics, including building a strong LinkedIn presence, understanding LinkedIn’s algorithm, creating effective posts and articles, and leveraging LinkedIn’s advertising platform. Learners will also explore strategies for growing their network, using LinkedIn Analytics to track performance, and mastering the art of personal branding. Throughout the course, participants will gain expertise in developing LinkedIn-specific content strategies, using advanced targeting options for ads, and building a network that supports career or business objectives. By the end, learners will be equipped to maximise their LinkedIn efforts and achieve measurable results. LinkedIn Marketing Masterclass Curriculum: Module 01: Introduction to LinkedIn Marketing Module 02: Setting Up a Strong LinkedIn Profile Module 03: Building Your Network and Connections Module 04: Creating Compelling LinkedIn Content Module 05: Leveraging LinkedIn for Lead Generation Module 06: Using LinkedIn Ads to Boost Visibility Module 07: Understanding LinkedIn Analytics Module 08: Advanced LinkedIn Strategies for Business Growth (See full curriculum) Who is this course for? Individuals seeking to enhance their personal or business brand on LinkedIn. Professionals aiming to advance their careers or establish authority in their industry. Beginners with an interest in using LinkedIn for marketing or networking. Business owners and marketers wanting to utilise LinkedIn as a marketing channel. Career Path Social Media Manager Digital Marketing Specialist Content Strategist LinkedIn Ad Campaign Manager Brand Manager Business Development Executive

Learn to Drive Traffic into Sales through Digital Marketing Course Overview This course on "Learn to Drive Traffic into Sales through Digital Marketing" provides learners with the essential skills to effectively use digital marketing strategies to attract, engage, and convert online traffic into sales. Covering key areas such as SEO, social media marketing, content creation, and email marketing, the course equips learners with the knowledge to optimise digital campaigns and enhance business visibility. The course is designed for individuals seeking to master digital marketing techniques to increase online sales and drive business growth. By the end of the course, learners will have a comprehensive understanding of traffic generation strategies and how to convert them into tangible business results. Course Description In this course, learners will explore various digital marketing techniques aimed at driving traffic to websites and converting that traffic into sales. Topics include SEO fundamentals, social media marketing strategies, email marketing campaigns, and creating compelling content. The course provides a structured approach to understanding how to leverage these strategies effectively, using data analytics to track and improve performance. Learners will gain the ability to create digital marketing plans, monitor campaign success, and optimise strategies to enhance online sales. The course is designed for those who want to advance their digital marketing skills and improve conversion rates, whether for personal projects or within their professional roles. Learn to Drive Traffic into Sales through Digital Marketing Curriculum Module 01: Introduction to Digital Marketing Module 02: SEO Strategies for Traffic Growth Module 03: Social Media Marketing for Engagement Module 04: Email Marketing to Convert Leads Module 05: Creating Content that Converts Module 06: Analytics and Campaign Optimisation (See full curriculum) Who is this course for? Individuals seeking to increase their online sales through digital marketing. Professionals aiming to enhance their digital marketing knowledge and career prospects. Beginners with an interest in driving business growth via online channels. Entrepreneurs wanting to optimise their digital marketing efforts. Career Path Digital Marketing Specialist SEO Manager Social Media Manager Content Marketing Strategist Email Marketing Coordinator E-commerce Manager

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for those who provide site collection and site administration and are power users or IT professionals who are tasked with supporting or working within the SharePoint 2016 environment on premise and/or in Office 365. Overview After completing this course, students will be able to: - Design and implement a company portal structure using SharePoint 2016 objects including sites, libraries, lists and pages - Explain the role of security and permissions throughout SharePoint 2016 - Implement guidelines for consistency in building a company portal to aid in the day-to-day administration of content in SharePoint 2016 - Enhance the design and content of a company portal using SharePoint 2016 pages and web parts - Explain the importance of governance for the planning and managing future growth of the - SharePoint 2016 implementation - Identify options to integrate data from other systems such as Microsoft Office, as well as preserve existing data - Explain the role of social networking in SharePoint 2016 and its impact on collaboration This course is intended for power users and IT professionals who are tasked with working within the SharePoint 2016 environment and conduct site collection and site administration. Getting Started with SharePoint 2016 Exploring SharePoint 2016 Site Collection and Site Administrator Roles Defining SharePoint Terminology Navigating a SharePoint Site Interacting with the Ribbon Creating and Editing Basic Content What is Metadata? Versions of SharePoint Standard Enterprise O365 Building a Site Collection with Apps The Structure of SharePoint Creating a Site What does a site template come with? Defining SharePoint Apps Customizing Lists and Libraries Creating/Managing Lists and Libraries through SharePoint Designer Explaining Views on Lists and Libraries Creating Views in Lists and Libraries Modifying Navigation Turning Site Features On/Off Reorganizing a Site using Site Content and Structure feature Lab 1: Creating a Structured Company Portal Lab 2: Creating a List Using SharePoint Designer (Optional) Creating Consistency across Sites Defining Site Columns Defining Content Types Implementing a Taxonomy Using Templates to Promote Consistency Lab 1: Creating Site Columns and Content Types Lab 2: Implementing a Taxonomy Lab 3: Configuring the Content Organizer SharePoint Permissions Explaining Permissions and Security in SharePoint Creating SharePoint Groups Managing Permissions within SharePoint Sharing versus Traditional Security Sharing as different permission levels Lab 1: Managing Permissions in SharePoint Working with Pages and Web Parts Changing the Appearance of the Portal Editing a Page wiki web part Working with Web Parts and App Parts App Parts Content Search Web Part Relevant Documents Content query Table of Contents Pictures Web Part Connections Filter web parts Web parts with Targeting Audience Lab 1: Adding and Configuring Web Parts Lab 2: Connecting Web Parts Lab 3: Applying Themes to Your Company Portal Document and Records Management Basic Content Approval Versioning Check In/Out Holds Retention Policy Document ID Content Organizer Compliance Policy Center Site Template EDiscovery Records Center Lab 1: Working with Advanced Document Management Features Lab 2: Leveraging Records Management to Preserve Data Workflow Alerts Out of the Box Workflow Activating Workflow Features Approval Workflow Creating a Workflow in SharePoint Designer Lab 1: Creating an Approval Workflow from SharePoint Lab 2: Creating a Custom Workflow in SharePoint Designer (Optional) Office Integration Outlook Calendar Contacts Excel Word PowerPoint OneDrive for Business OneNote Access Lab 1: Importing and Exporting Excel Data with SharePoint Lab 2: Linking Outlook and SharePoint Creating Publishing Sites Why use a publishing site? Publishing Pages Enabling Web Content Management Managing the Structure of Web Content Navigating a Site Using Managed Metadata Lab 1: Creating a Rich Publishing Sit Lab 2: Configuring a Publishing Approval Process Lab 3: Implementing a Managed Navigation Site Bridging the Social Gap My Sites Configuring Social Features in SharePoint Posts, Tags and Mentions Creating a Community Site Lab 1: Designing a Social Experience in SharePoint 2016 Lab 2: Creating a Community Site Finding Information Using Search Exploring the Search Features in SharePoint Configuring Search Settings Search Analytics Search Visibility Lab 1: Configuring an Advanced Search Center Planning a Company Portal Using SharePoint Defining SharePoint Governance Working with Information Architecture Implementing Site Hierarchies Discussing the Execution of Governance Site Collection Administrator Settings Exploring Settings for Site Collection Administrators Exploring Settings for Site Administrators Site Closure Policies Additional course details: Nexus Humans 55234 SharePoint 2016 Site Collections and Site Owner Administration 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 55234 SharePoint 2016 Site Collections and Site Owner Administration 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.

Microsoft Power BI Masterclass 2021 Course Overview: The "Microsoft Power BI Masterclass 2021" provides learners with the skills to become proficient in data analysis and visualization using Power BI. This comprehensive course covers the core functionalities of Power BI, from data preparation and transformation to creating impactful reports and dashboards. Learners will gain valuable insights into data modelling, visualisation, and the use of DAX for advanced calculations. By the end of the course, participants will be able to apply their knowledge to real-world projects, improving their ability to communicate data-driven insights effectively. This course is ideal for professionals and beginners who want to leverage Power BI to unlock the potential of their data. Course Description: This masterclass delves into the essential features of Microsoft Power BI, guiding learners through every stage of data analysis. Starting with project setup and data transformation in the Query Editor, the course progresses to advanced topics such as DAX functions and data storytelling. Learners will explore how to build data models, create dashboards, and employ Python in Power BI to enhance their reports. The course also covers Power BI Service for cloud-based analytics, row-level security for data protection, and integrating additional data sources. With a focus on empowering users to communicate insights clearly, the course ensures learners gain the expertise to manage data efficiently, make informed decisions, and stay up to date with evolving tools and features. Microsoft Power BI Masterclass 2021 Curriculum: Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to advance their data visualization expertise. Beginners with an interest in data science or business analytics. Business analysts or data professionals looking to upskill in Power BI. Career Path: Data Analyst Business Intelligence Analyst Data Scientist Power BI Developer Reporting Analyst Data Visualisation Expert

Take things a step further and improve your knowledge of some of the more niche Excel techniques to help manage your data