352 Analytics courses in Whetstone delivered Live Online

ITIL® 4 Specialist: Create, Deliver and Support: Virtual In-House Training The ITIL® 4 Specialist: Create, Deliver, and Support module is part of the Managing Professional stream for ITIL® 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: Create, Deliver, and Support exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. What You Will Learn The learning objectives of the course are based on the following learning outcomes of the ITIL® 4 Specialist: Create, Deliver, and Support exam specification: Understand how to plan and build a service value stream to create, deliver, and support services Know how relevant ITIL® practices contribute to the creation, delivery, and support across the SVS and value streams Know how to create, deliver, and support services Organization and Culture Organizational Structures Team Culture Continuous Improvement Collaborative Culture Customer-Oriented Mindset Positive Communication Effective Teams Capabilities, Roles, and Competencies Workforce Planning Employee Satisfaction Management Results-Based Measuring and Reporting Information Technology to Create, Deliver, and Support Service Integration and Data Sharing Reporting and Advanced Analytics Collaboration and Workflow Robotic Process Automation Artificial Intelligence and Machine Learning CI / CD Information Model Value Stream Anatomy of a Value Stream Designing a Value Stream Value Stream Mapping Value Stream to Create, Deliver, and Support Services Value Stream for Creation of a New Service Value Stream for User Support Value Stream Model for Restoration of a Live Service Prioritize and Manage Work Managing Queues and Backlogs Shift-Left Approach Prioritizing Work Commercial and Sourcing Considerations Build or Buy Sourcing Models Service Integration and Management

Duration 2 Days 12 CPD hours This course is intended for This course is intended for business users who have been using Power BI to build analytic solutions and are ready to take advantage of the power and flexibility that DAX provides. Learning DAX is a very common 'next step' for experienced Power BI users. Overview At course completion, you should be able to describe DAX syntax, data types, and errors use DAX to create calculated columns, measures, and tables explain how DAX calculations are evaluated, along with the differences between row context and filter context configure and use Time Intelligence to perform common time-based calculations, for example to-date calculations, year-over-year analysis, moving averages, etc. create calculated columns and measures that use data from multiple tables in the data model write measures that handle error conditions gracefully use DAX to enhance the Power BI user experience use DAX Studio to connect to a Power BI data model and execute simple queries Welcome to Introduction to DAX for Power BI. This two-day instructor-led course is intended for business users who have been using Power BI and want to use DAX to create custom calculations in their data models. In this class, you will be introduced to using Data Analysis Expressions (DAX), which is the expression language that is used to create custom calculations in the Power BI Data model. The course covers some of the theoretical underpinnings of the data model and the DAX language, but the emphasis is on using DAX to solve common business problems. You will learn how to write your own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code. MODULE 1: GETTING STARTED WITH DAX INTRODUCTION TODAX CREATING OBJECTS WITHDAX CONTEXT AND RULES OF EVALUATION VARIABLES,COMMENTS,AND TESTING MODULE 2: PERFORMING BASIC CALCULATIONS GETTING STARTED IMPLICIT MEASURES ADDING QUICK MEASURES WORKING WITH DAX DATA TYPES . DOING BASIC MATH USING LOGIC IN YOUR CALCULATIONS USING THE IF() FUNCTION NESTED IF() USING THE SWITCH() FUNCTION ADVANCED SWITCH() LOGICAL OPERATORS & FUNCTIONS: ||, OR(), &&, AND(), NOT() AGGREGATING AND SUMMARIZING DATA THE SUM() FUNCTION MODULE 3: WORKING WITH CONTEXT IN THE DATA MODEL CONTEXT DEFINED DATA MODELING BASICS INTRODUCTION TO DIMENSIONAL MODELING RELATIONSHIPS AND THEIR EFFECT ON THE EVALUATION CONTEXT GETTING DATA FROM OTHER TABLES USING RELATED() AND RELATEDTABLE LOOKING UP DATA WITHOUT USING RELATIONSHIPS MODIFYING THE CONTEXT USING CALCULATE() MODULE 4: PERFORMING MORE ADVANCED CALCULATIONS THE DAX ITERATOR FUNCTIONS USING TABLE MANIPULATION FUNCTIONS MODULE 5: WORKING WITH TIME PERFORMING DATE CALCULATIONS WORKING WITH DATE TABLES GENERATING A DATE TABLE WITH THE CALENDAR() FUNCTION DEFINING CUSTOM OPERATING PERIODS YTD, QTD, AND MTD CALCULATIONS CUSTOM TO-DATE CALCULATIONS FINDING YEAR-OVER-YEAR CHANGE FINDING MOVING AVERAGES MODULE 6: ENHANCING THE USER EXPERIENCE CONTROLLING VISIBILITYOF YOUR MEASURES USING WHAT-IF PARAMETERS ADDING BANDING USING DAX TO PROVIDE ROW-LEVEL SECURITY

Duration 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports. Overview Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets? Lesson 1: Exploring Tableau Reports Topic A: Data Analysis Workflow with Tableau Topic B: Explore Views Topic C: Edit Workbooks Lesson 2: Analyzing Data to Get Answers and Insights Topic A: Configure Marks with the Marks Card Topic B: Ask New Questions by Changing Aggregation Topic C: Find Answers with Calculations Topic D: Answer Questions with Table Calculations Lesson 3: Sorting and Grouping Data for Analysis and Reporting Topic A: Sort Data Topic B: Group Data Lesson 4: Filtering Views Topic A: Filter Data to Refine Analysis Topic B: Create Interactive Filters for Reports Lesson 5: Preparing Reports Topic A: Format and Annotate Views to Tell Your Story Topic B: Emphasize Data in Reports Topic C: Animate Visualizations for Clarity Lesson 6: Troubleshooting, Sharing, and Collaborating Topic A: Troubleshoot Data Issues Topic B: Collaborate in Tableau Online Topic C: Collaborate with Non-Tableau Users

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: IT Staff and Managers Network and systems personnel and engineers Small to mid-sized organizations that require fundamental knowledge on networking terms/concepts and configuration guidance for Meraki equipment. This also includes organizations looking to implement remote sites, provide a guest wireless solution, and collect user analytics. Overview Following completion of this course, students will understand, Install, Configure, Monitor, and Troubleshoot the following: Navigate and Configure the dashboard Add MX/MS devices to the Dashboard Understand and Configure Configuration Templates Understand and Configure Group Policies Manage/Configure/Integrate Users and Radius Policies Configure, Monitor, and Troubleshoot MS Switches Troubleshoot devices and Connectivity This 3-day Cisco course provide students with the skills to configure, optimize, and troubleshoot a Cisco Meraki solution. Students will learn how to install and optimize Meraki MS Switches. Students will also learn how to configure the Meraki Dashboard. Student will troubleshoot and configure the Meraki environment and learn how to diagnose and resolve user and Network issues that may arise. Introduction to Meraki The Meraki Mission Cisco Meraki: Bringing the Cloud to Enterprise Networks Cloud-Managed Networking Architecture Benefits of a Cloud-Based Solution The Meraki Full Stack: New and Unique Value Proposition Meraki Deployment ? How it works Why Customers Choose Meraki Meraki MS Switches Overview Meraki API Overview Meraki Licensing Enterprise Support Cisco Meraki Documentation Cloud Management with the Meraki Dashboard The Meraki Dashboard Dashboard: Organizational Structure Out-of-band Cloud Management Loss of Connectivity to the Cisco Meraki Cloud Meraki Dashboard Logins Create Dashboard Accounts and Organization MSP Logins - Manage Multiple Organizations Modify an Organization View Organizations Health Meraki Dashboard Best Practices Dashboard Search Meraki Help Organizational Wide Settings Configure Monitor Create and Manage Configuration Templates Network-Wide Settings Configure Meraki Switching MS Switch Platforms and Features MS Feature: Multi-gigabit Ethernet Cisco Meraki MS Access Switches Cisco Meraki MS Aggregation Switches Using Tags to search, monitor and configure Meraki Switches Meraki Switch Configuration Port Configuration Meraki Switch Monitoring Troubleshooting Tools Managing Firmware Upgrades

Duration 3 Days 18 CPD hours This course is intended for Anyone interested in getting an overview of SAP S/4HANA Overview This course will prepare you to: Explain how SAP S/4HANA supports the digital transformation Navigate in SAP S/4HANA using SAP Fiori UX and other client technologies Describe system-wide concepts such as organizational elements or master data Describe key business processes of SAP S/4HANA Enterprise Management and SAP S/4HANA LoB solutions Describe integration scenarios between SAP S/4HANA and SAP Cloud solutions Explain SAP S/4HANA embedded analytics capabilities and additional BI/BW tools Gain basic knowledge about SAP Activate to accelerate SAP S/4HANA adoption This course provides an overview of SAP S/4HANA for learners who do not yet have specific SAP background knowledge and want to build SAP S/4HANA skills. Module 1 SAP S/4HANA Overview Module 2 Navigation Module 3 System-wide concepts Module 4 Logistics capabilities Module 5 Finance capabilities Module 6 Human Resources capabilities Module 7 SAP Activate Additional course details: Nexus Humans S4H00 SAP S/4HANA Overview 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 S4H00 SAP S/4HANA Overview 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 The primary audience for this course are Business Process Owners/Team Leads/Power Users, Industry Specialists, and Program/Project Managers. Overview Explain Maintenance and Repair business processesExecute maintenance tasksDefine relevant organizational elements used in Plant Maintenance In this course, students learn how to describe the maintenance and repair business processes within SAP ERP. This foundation knowledge is mandatory in order for students to have the confidence to complete the subsequent configuration courses. Plant Maintenance Organization Outlining EAM Processes and SAP Solution Portfolio Outlining the SAP User Interfaces and Roles Executing Maintenance Tasks with NetWeaver Business Client (NWBC) Checking Organizational Levels in Plant Maintenance Technical Objects Checking Functional Locations Managing Equipment Checking Linear Asset Management (LAM) Assigning Bills of Material (BOMs) to Technical Objects Breakdown Maintenance Planning Breakdown Maintenance Processing a Breakdown Maintenance Order Corrective Maintenance Outlining Corrective Maintenance Processing External Services Creating Notifications of Maintenance Requirements Creating Maintenance Orders Planning of Maintenance Orders Planning of Maintenance Orders for Operation Account Assignment (OAA) Selecting Maintenance Orders Planning for Maintenance Orders Scheduling Maintenance Executing Maintenance Tasks with SAP GUI Completing Notifications and Orders Confirm and Technically Complete an Order Creating a Shift Report Refurbishment of Spare Parts Checking Prerequisites in Materials Management (MM) Refurbishing Spare Parts Internally Refurbishing Spare Parts Externally Preventive Maintenance Outlining Preventive Maintenance Checking the Maintenance Task List Creating Maintenance Plans Scheduling Maintenance Plans Project-Oriented Maintenance Outlining Project-Oriented Maintenance Supplementary Processes for SAP Enterprise Asset Management Outlining Mobile Applications for SAP Enterprise Asset Management (SAP EAM) Using Visual Enterprise Documents Describing Basic Maintenance Processing Outlining Pool Asset Management (PAM) Outlining SAP Work Clearance Management (WCM) Applying Worker Safety Report and Analysis of Information for SAP Enterprise Asset Management (EAM) Analyzing Maintenance History with the Logistic Information System (LIS) Evaluating Plant Maintenance with SAP Business Warehouse (SAP BW) Outlining Rapid Deployment Solution EAM Analytics SAP Enterprise Asset Management Customizing Implementation Outlining SAP Enterprise Asset Management Customizing Implementation

Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

OVERVIEW Prerequisites—this is a day of supervised revision for anyone who wishes to take the PL-300 exam so we expect you to have attended a PL-300 course, either taught or on your own, before attending this day of revision. We are happy for attendees to join the course if you have taken the PL-300 with us or with another provider. In the morning we look at questions from the PL-300 exam, grouped by subject area. For each question we show you the correct answer and then explain why that is the correct answer. After lunch everyone tries a practice exam under exam conditions and we finish the day with clarification on the subjects or specific questions that the class is finding hard. The cost of the course includes a free voucher to take the exam, so please don’t buy your own separately. If you do so we cannot reimburse you with the cost of the exam. COURSE BENEFITS: Discover the parts of the course on which to focus most attention Become familiar with the styles and formats of the exam questions Alert yourself to some of the particularly tricky questions Familiarise yourself with the style of the 'case study' question Practice an exam under real exam conditions Get a feel for the time you need to devote to the normal questions and to the case study WHO IS THE COURSE FOR? Power BI report developers who need PL-300 Certification to apply for a job Business Intelligence specialists who wish to enhance their career prospects with a PL-300 Certification Anyone who wishes to maximise their chances of passing the PL-300 Power BI Data Analyst exam COURSE OUTLINE Module 1 Structure Of The Exam Registration for the exam and setup of your workspace The percentage of marks devoted to each subject area Types of questions used in the exam Advised timing for the normal questions and for the case study question Module 2 Individual Exam Question Practice The exam questions are divided into subject areas and for each question… We consider the question and try to answer it We view the answer Where necessary, we look at an in-depth explanation of why that is the correct answer Examine case study questions and how to treat these differently from the normal questions Module 3 Practice Exam Under Exam Conditions Attendees take a practice exam Attendees receive a mark, broken down into subject areas Module 4 Exam Question Practice Focussed On Tricky Areas Together, based on the results of attendees’ exam results we decide which areas on which to focus More practice on individual exam questions using the same style as in Module 2

Duration 1 Days 6 CPD hours This course is intended for This course is ideal for any administrator with an interest in furthering the development of their Salesforce CRM administration, Sales and Service Cloud management, and process automation skills, and who ultimately wants to succeed at the Salesforce Certified Advanced Administrator exam. Overview When you complete this course, you will be able to:Configure data and application security.Describe Sales Cloud and Service Cloud applications.Implement business logic and process automation.Build advanced reports and dashboards.Apply data management best practices. This course will help hone your knowledge of of next-level techniques to administer and manage Salesforce?s CRM capabilities through guided scenarios, lecture, and discussion. Salesforce Security and Custom Objects Restricting and extending object, record, and field access Determining appropriate sharing solutions Territory Management Data relationships Automation, Change Management, and Auditing Process automation tools and best practices Change management options Sandboxes Deployment tools Auditing and monitoring Analytics and Data Management Creating reports Report types Dashboards Data quality features and policies Sales, Service, and Content Applications Products, price books, schedules and quotes Forecasting Salesforce Knowledge Entitlements Service Cloud console toolkit Content management Wrapping Test preparation Practice exam Additional course details: Nexus Humans Salesforce Certification Preparation for Advanced Administrator (CRT211) 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 Certification Preparation for Advanced Administrator (CRT211) 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.