3927 Analyst courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This course is appropriate for anyone needing to interface with an Oracle database or those needing a general understanding of Oracle database functionality. That would include end users, business analysts, application developers and database administrators. Overview Working in a hands-on learning environment led by our expert pracitioner you'll learn how to: Add Data, Retrieve, Sort and Organize a SQL Database Combine Data, Set Operators and Subqueries Manipulate Data and Data Definition Languages in SQL Work with Data Dictionary Views and Create Sequences, Indexes and Views Use Database Objects and Subqueries Perform Data and access control Perform other Advanced Level Database operations. Oracle 19C SQL Programming Fundamentals Is a three-day, hands-on course designed to equip you with the fundamental skills needed to set up, run and manage SQL databases using Oracle Database Technology. You will also be discovering all the tools and concepts required to organize data efficiently. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will develop a practical approach to Oracle Database Technology. Throughout the course, you will learn the key elements of a database, and the way Oracle systems facilitate their induction in the system. You?ll also learn the tools and strategies you can implement to store, retrieve, compare and organize data according to your requirements. You?ll also explore the process of creating simple to complex reports from existing data. By the end of this course, you will also have hands-on knowledge of SQL systems that are required to proceed to other advanced to professional programs. Adding Data, Retrieving, Sorting and Organizing a SQL Database The building blocks of a database. How to add data to the database. The process of retrieving data using SQL functions. Multiple methods of sorting and organizing data. Using SQL functions to get the required simple to complex output. Various strategies for using functions and conditions to organize data. Combining Data, Set Operators And Subqueries Consolidating data using multiple functions and group operators. Fetching intelligent data reports using simple functions. Fetching data from multiple sources in the tables. Using Subqueries to compile data as required. Using Set operators to create smart data reports. Data Manipulation and Data Definition Languages in SQL Describing and managing data transaction using Data Definition Language. Categorize and review data tables using Data Definition Language. Data Dictionary Views and Creating Sequences, Indexes and Views How to manage and query Data Dictionary Views. The process of creating and using Sequences. How to create various types of Synonyms and Indexes. Creating simple and complex views and retrieving data. Understanding and using Database Objects and Subqueries Core concept and application of Schema Objects. Fetching required data with Subqueries. Using Subqueries to organize Data in SQL. Data and access control Assigning and revoking data access. Managing data access control according to user levels. Performing Advanced Level Database operations. Using advanced functions and performing data queries. Creating and managing time zone-based databases.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 1 Days 6 CPD hours This course is intended for This course is intended for organizations that would like to improve the team productivity of their employees and individuals, who take the role of Project Managers, Business Analysts, Team Leaders, Scrum Masters, Product Owners, Managers, and any team members. Overview The key to the success of an IT organization is its employees. The more highly productive the people in the organization are, the greater the business goals the organization can achieve. By completing this course, the IT organization gains: trained employees who know the main characteristics of high-performance teams and already have ideas about what to change in their work and behavior to contribute to greater productivity of the team as a whole; a quantum leap in business results thanks to increased employee motivation, customer satisfaction, and improved communication in teams; long-term benefit expressed in the transfer of knowledge that the people of the trained team can share with other members of the organization. A skill that almost every organization looks for in a new job candidate is the ability to work in a team. If an individual is an expert in a certain field and is invited to work on a large project that includes other experts, it is very important to know how to work successfully in this team. By completing this course the individual will: learn the differences between an ordinary team and a high-performing one; know how to increase your personal productivity; be able to determine problems that prevent the team from achieving outstanding results. This course represents highly effective training on developing teamwork skills and teaches students how to interact effectively with other team members. Also, students will learn how to increase their work productivity and resolve and/or avoid conflict situations. Course Outline What is a team and are we really a team? How to improve team performance? The importance of trust and psychological security. How to approach disagreements and conflicts in the team? How to encourage initiative and commitment in the team? How are self-organized teams created and what are their specifics? How to focus on the results we want to achieve? Each topic includes discussions and exercises. Additional course details: Nexus Humans High-Performing Teams 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 High-Performing Teams 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 Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 2 Days 12 CPD hours This course is intended for The primary audience for this course is as follows: System Engineers System Administrators Architects Channel Partners Data Analysts Overview Upon completing this course, you will be able to meet these overall objectives: Describe how harnessing the power of your machine data enables you to make decisions based on facts, bot intuition or best guesses. Reduce the time you spend investigating incidents by up to 90%. Find and fix problems faster by learning new technical skills for real world scenarios. Get started with Splunk Enterprise, from installation and data onboarding to running search queries to creating simple reports and dashboards. Accelerate time to value with turnkey Splunk integrations for dozens of Cisco products and platforms. Ensure faster, more predictable Splunk deployments with a proven Cisco Validated Design and the latest Cisco UCS server. This course will cover how Splunk software scales to collect and index hundreds of terabytes of data per day, across multi-geography, multi-datacenter and cloud based infrastructures. Using Cisco?s Unified Computing System (UCS) Integrated Infrastructure for Big Data offers linear scalability along with operational simplification for single-rack and multiple-rack deployments. Cisco Integrated Infrastructure for Big Data and Splunk What is Cisco CPA? Architecture benefits for Splunk Components of IIBD and relationship to Splunk Architecture Cisco UCS Integrated Infrastructure for Big Data with Splunk Enterprise Splunk- Big Data Analytics NFS Configurations for the Splunk Frozen Data Storage NFS Client Configurations on the Indexers Splunk- Start Searching Chargeback Reporting Building custom reports using the report builder Application Containers Understanding Application Containers Understanding Advanced Tasks Task Library & Inputs CLI & SSH Task Understanding Compound Tasks Custom Tasks Open Automation Troubleshooting UCS Director Restart Module Loading Report Errors Feature Loading Report Registration REST API- Automation UCS Director Developer Tools Accessing REST using a REST client Accessing REST using the REST API browser Open Automation SDK Overview Open Automation vs. Custom Tasks Use Cases UCS Director PowerShell API Cisco UCS Director PowerShell Console Installing & Configuring Working with Cmdlets Cloupia Script Structure Inputs & Outputs Design Examples Additional course details: Nexus Humans Cisco Splunk for Cisco Integrated Infrastructure (SPLUNK) 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 Splunk for Cisco Integrated Infrastructure (SPLUNK) 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 designed for individuals who are (or will soon be) supporting a Salesforce implementation in a decision-making capacity. This includes, but is not limited to, business analysts, IT managers, project managers, executive leaders, and executive sponsors. This class is not recommended for individuals tasked with solution-building. Overview When you complete this course, you will be able to: Identify key stakeholders needed for a successful Salesforce implementation. Describe the Salesforce data model as it relates to Customer 360, Salesforce Clouds, and the Salesforce Platform. Communicate the appropriate security measures needed to control org and data access. Discuss which standard or custom objects and applications should be implemented based on specific requirements and use cases. Effectively strategize how to migrate data into your Salesforce org while maintaining high data quality. Understand Salesforce automation tools and how they solve for various business challenges. Analyze Salesforce data with Reports and Dashboards. Navigate the key phases and milestones of a Salesforce implementation. Explore Salesforce features and functionality and gain the knowledge to make Salesforce implementation decisions with confidence. In this 3-day, heavily discussion-based class, learn about standard and custom objects and applications, data management, data visualization, flow automation tools, security mechanisms, and more. Successfully navigate the key phases and milestones of a Salesforce implementation, effectively communicate business needs, and provide directives to team members tasked with solution-building to deliver a robust Salesforce solution that achieves business goals. Salesforce Data Model Discover the Customer 360 Platform Examine Salesforce Clouds Navigate the Salesforce Platform Review the Salesforce Platform Data Model Understand Data Visualization Security & Access Create Users Access the Org Control Data Objects & Applications Review Standard Objects Understand Custom Objects Explore Standard Applications Discover Custom Applications Salesforce Customizations Work with Fields Design Page Layouts Understand Record Types Review Dynamic Capabilities Successful Data Management Determine Data Strategy Create Data Ensure Data Quality Process Automation Streamline Business Processes Using Automation Tools Learn Purpose-Driven Automation Automate With Flow Data Analysis Using Reports & Dashboards Organize Reports and Dashboards Build Reports Create Dashboards Create an Analytics Strategy Adoption & Continued Improvement Adopt Your Implementation Evaluate Continued Improvements Additional course details: Nexus Humans Understand and Drive Your Salesforce Implementation ( BSX101 ) 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 Understand and Drive Your Salesforce Implementation ( BSX101 ) 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 2 Days 12 CPD hours This course is intended for People working in an organization aiming to improve performance, especially in response to digital transformation or disruption. Any roles involved in the creation and delivery of products or services: Leadership and CXO, especially CIO, CTO, CPO, and CVO Transformation and evolution leads and change agents Value stream architects, managers, engineers Scrum Masters, agile and DevOps coaches and facilitators Portfolio, product and project managers, and owners Business analysts Architects, developers, and engineers Release and environment managers IT Ops, service and support desk workers Customer experience and success professionals Overview After completing this course, students will be able to: Describe the origins of value stream management and key concepts such as flow, value, and delivery Describe what value stream management is, why it's needed and the business benefits of its practice Describe how lean, agile, DevOps, and ITSM principles contribute to value stream management Identify and describe value streams, where they start and end, and how they interconnect Identify value stream roles and responsibilities Express value streams visually using mapping techniques, define current and target states and hypothesis backlog Write value stream flow and realization optimization hypotheses and experiments Apply metrics such as touch/processing time, wait/idle time, and cycle time to value streams Understand flow metrics and how to access the data to support data-driven conversations and decisions Examine value realization metrics and aligning to business outcomes, and how to sense and respond to them (outcomes versus outputs) Architect a DevOps toolchain alongside a value stream and data connection points Design a continuous inspection and adaptation approach for organizational evolution The Value Stream Management Foundation course from Value Stream Management Consortium, and offered in partnership with DevOps Institute, is an introductory course taking learners through a value stream management implementation journey. It considers the human, process, and technology aspects of this way of working and explores how optimizing value streams for flow and realization positively impacts organizational performance. History and Evolution of Value Stream Management and its Application Value stream management?s origins Definitions of value stream management Flow Lean and systems thinking and practices Agile, DevOps and other frameworks Research and analysis Identifying Value Streams What is a value stream? Identifying value streams Choosing a value stream Digital value streams Value stream thinking Mapping Value Streams Types of maps Value stream mapping The fuzzy front end Artifacts 10 steps to value stream mapping Mapping and management VSM investment case Limitations of value stream mapping Connecting DevOps Toolchains CICD and the DevOps toolchain Value stream management processes Value stream management platforms DevOps tool categories Building an end-to-end DevOps toolchain Common data model and tools integrations Value Stream Metrics The duality of VSM Downtime in technology Lean, DORA and Flow metrics Definition of Done Value metrics Benefits hypotheses Value streams as profit centers KPIs and OKRs Inspecting the Value Stream 3 Pillars of Empiricism Organizational performance Visibility When to inspect Data and discovery Insights and trends Organizing as Value Streams Value stream alignment Team types and topologies Project to product Hierarchy to autonomy Target Operating Model Value stream people Value stream roles Value stream funding Evolving Value Streams Why now? Transitions VSM capability matrix VSM culture iceberg Learning Making local discoveries global improvements Managing value stream interdependencies

Duration 5 Days 30 CPD hours This course is intended for This class is ideal for experienced Salesforce Administrators, business analysts, and implementation specialists looking to gain a greater technical understanding of Salesforce CPQ Administration. It's also designed for experienced administrators, solution architects, implementation consultants, and developers looking to understand the full capabilities of Salesforce CPQ in order to formulate solutions for their business. This class is also a great foundation builder for anyone looking to earn the Salesforce CPQ Specialist credential. Overview When you complete this course, you'll be able to: Set Up Products, Bundles, and Product Rules Build Price Rules to Automatically Populate Field Values While Quoting or Configuring a Bundle Set Up Appropriate System Discounts and Pricing Methods Configure Dynamic Output Document Generation Manage Subscription Products (Including the Processes for Renewing and/or Amending Them) Formulate Sound Solutions to Common CPQ Business Requirements Make Significant Progress in Preparing for the Salesforce Certified CPQ Specialist Exam Discover how to configure an end-to-end Salesforce CPQ solution with out-of-the-box functionality. In this 5-day class, our CPQ experts will give you an in-depth look at Salesforce CPQ and its applications. You?ll learn how to set up and manage products, configure discount and pricing methods, create and manage subscriptions, and formulate solutions to meet common CPQ business requirements so you can successfully implement a Salesforce CPQ solution for your company. Course Introduction Review Course Objectives Set Learner Expectations Review Housekeeping Rules Explore Additional Course Resources Review Exam Quick Facts Introduction to CPQ Understand the Business Case for CPQ Watch an End-to-End Solution Demo Build a Quote Object Model Foundations Get Familiar with Products, Price Books, and Price Book Entries Review Product Fields Integral to Basic Salesforce CPQ Functionality Product Selection Modify Out-of-the-Box Button Behavior for Product Selection Review Guided Selling Bundle Configuration Define and Build Product Bundles Enforce Business Logic with Product Features Option Selection Guidelines Enforce Business Logic with Option Constraints Product Rules Define Product Rules Enforce Business Logic with Product Rules (Including Validation Rules, Alert Rules, Selection Rules, and Dynamic Bundles) Build Product Rules Using Supporting Objects (Including Error Conditions, Product Actions, Summary Variables, Configuration Rules, and Configuration Attributes) Pricing Methods Discover Pricing Waterfall Default Flows Review List Pricing, Cost Plus Markup, and Block Pricing Use Contracted Pricing for Negotiated Prices Subscription Pricing Configure Subscription and Proration Pricing Methods Understand How Subscription Pricing Methods Affect List and Regular Price Discounting Compare Discounting Strategies Build a Discount Schedule Price Rules Set Values for Quote and Quote Line Fields Declaratively Review CPQ Advanced Quote Calculator Calculation Events and Conditions Understand Price Action Sources (Including Static Values, Summary Variables, Formulas, and Lookup Tables) Create Lookup Queries to Outsource Evaluation to a Lookup Object Advanced Approvals Compare and Contrast the Advanced Approval Package Versus Native Approvals Define Approvers, Approval Chains, Approval Variables, and Approval Rules to Meet Specific Business Requirements Quote Templates Generate Dynamic Output Documents Create Conditional Template Content Localization and Multicurrency Make Accommodations for Localization Define Localization and How It Works in CPQ Orders Review Business Purposes of an Order Define the Data Model for Orders Define Data Requirements to Generate Orders Contracts, Renewals, and Amendments Generate New Contracts to Manage Active Subscriptions Related to an Account Review Amendment and Renewal Processes Review Renewal Pricing Methods Capstone Class Project: Troubleshoot Common Scenarios in Salesforce CPQ Design a Solution

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.

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.