806 Modeling courses

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

About this Training Course This 3 full-day course will provide insights into many aspects of operating the modern refinery as a business. This will include technical information on refining processes, crude oils and processing options, the place of the refinery in the value chain, refinery cost structure and management, optimization and profit margin, energy and oil loss reduction. This course will also address important management tools and techniques used for economic evaluations in refineries including future trends. This course will include presentations, simulations, a trading game, and exercises. This is an interactive session where participants can propose relevant topics upfront to discuss during class. This course can be further tailored for inexperienced or experienced personnel. Further customization can also include addressing a specific refinery, plant or unit. The option for post-course consultancy or help-desk support is also available. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives By participating in this highly intensive course, participants will be able to: Understand the main functions in refining processes, configurations and its operating characteristics Analyse the choice of crude, processing options and desired products and product quality parameters Closely review refinery economics and planning, margins, costing & valuation including trading Apply the methodology of refinery optimization and product improvement Gain an application of analytical tools to refinery management, supply chain and their economic drivers Appreciate the current challenges, opportunities and future trends impacting the refining industry Target Audience This course will benefit all refinery technical personnel, operations' process engineers and process managers, technical services engineers and managers, refinery planners, newly-hired refinery personnel and current semi-technical personnel who require introductory training to acquire the broader perspective of refinery economics and supply. Course Level Basic or Foundation Trainer Your expert course leader is a passionate world-class expert with 35 years of international experience in Crude Oil, Refinery Planning and Masterplanning, Process Modelling, LP Modelling and Optimization Best Practices. He has a sound understanding of refinery processes and economics. After retiring from Shell in 2020, he is now a principal consultant for Crude Oil & Refinery Modelling. He enjoys dealing with challenging technical problems and opportunities to deliver value through practical solutions. He has a hands-on mentality, is flexible and builds strong relationship with clients. During his career, he coached many engineers and delivered countless inhouse and external courses on crude oil, hydrocracking and general refinery processes and economics at the Shell Open University and many other client locations. He authored and co-authored several publications and presentations at international conferences and has three patents to his name. He understands how to deliver outstanding services in sometimes difficult cultural and commercial situations, having worked for clients around the world. He works effectively in multi-disciplinary teams, has strong analytical and problem-solving skills as well as excellent consulting, facilitation and interpersonal and multilingual skills. He has an MSc in Chemical & Agricultural Engineering (cum laude) and a BSc in Chemical & Agricultural Engineering from the University Ghent, Belgium. He is currently the Principal Consultant for Crude Oil & Refinery Modeling at Petrogenium, the international, independent, technical consultancy in oil refining, petrochemicals, oil & gas production & renewable resources. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

This course starts with the basics of data science and gradually moves towards explaining the concepts of machine learning and various data science algorithms.

Facilitation Skills for Business Analysts: Virtual In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP™). Business analysts are communicators who bridge the gap between people with business needs and knowledge and the people who will provide solutions. Business analysts are continuously involved in communications with stakeholders and developers as they create the solution to business problems. They participate in information-gathering sessions including interviewing, joint requirements definition, and Joint Application Design (JAD) workshops which are used to streamline information gathering and get immediate validation from user representatives. The business analyst is also involved with negotiating the solution with the stakeholders, upper-level management, and the developers, mediating among the groups when disagreements take place, and influencing the results of decisions during the solution cycle. This course teaches the methods needed to organize and run information-gathering events. It combines the basics of graphic decision making and modeling with facilitation, communication, and meeting management skills. What you will Learn At the end of this program, you will be able to: Identify the major touch points between key BABOK® Guide knowledge areas and business analysis communication Describe the facilitation skills that are most supportive of those intersections Improve your ability to apply these skills in the context of your business analyst functions Foundation Concepts The role of the Business analyst (BA) An Introduction to the BABOK® Guide Business analyst roles and the product / project life cycle (PLC) Facilitation skills for the business analyst The BABOK® Guide and Communication An introduction to the communication process Addressing basic communications challenges Planning business analysis communication Communication and BABOK® Guide tasks Targeted Elicitation Techniques Synergy between communication and targeted elicitation techniques Preparing for elicitation Cornerstone targeted technique: interviews Other targeted elicitation techniques Related general communication skills Group Elicitation Techniques Synergy between requirements communication and group elicitation techniques Cornerstone group elicitation technique - requirements workshops Other group elicitation techniques Related general communication skills - meeting management best practices Related general communication skills - facilitating best practices Process / Model-Based Elicitation Techniques Synergy between requirements communication and process / model-based elicitation techniques Process / model-based elicitation techniques Related interpersonal skills - problem solving and decision making Investigative Elicitation Techniques Synergy between requirements communication and investigative elicitation techniques Cornerstone investigative elicitation technique - document analysis Other investigative elicitation techniques Summary of elicitation techniques by usage in the requirements process Using Presentations, Structured Walkthroughs, and Influencing Structured walkthroughs, presentations, and influencing within BABOK® Guide tasks Cornerstone technique - structured walkthroughs General communication skill - presenting Related interpersonal skill - influencing Special Facilitation Skills - Negotiating and Mediating Negotiating Mediating

Duration 2 Days 12 CPD hours This course is intended for This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel. To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and function Overview #NAME? Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways. Microsoft© Excel© is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis and create diverse and robust data-backed visualizations to show insights, trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action. 1 - DATA ANALYSIS FUNDAMENTALS Introduction to Data Science Create and Modify Tables Sort and Filter Data 2 - VISUALIZING DATA WITH EXCEL Visualize Data with Charts Modify and Format Charts Apply Best Practices in Chart Design 3 - ANALYZING DATA WITH FORMULAS AND FUNCTIONS Analyze Data with Formulas and Named Ranges Analyze Data with Functions Implement Data Validation, Forms, and Controls Create Conditional Visualizations with Lookup Functions 4 - ANALYZING DATA WITH PIVOTTABLES Create a PivotTable Analyze PivotTable Data 5 - PRESENTING VISUAL INSIGHTS WITH DASHBOARDS IN EXCEL Visualize Data with PivotCharts Filter Data Using Slicers and Timelines Create a Dashboard in Excel 6 - CREATING GEOSPATIAL VISUALIZATIONS WITH EXCEL Create Map Charts in Excel Customize Map Charts in Excel 7 - PERFORMING STATISTICAL ANALYSIS Visualize Trendlines and Sparklines with Excel Analyze Data with the Data Analysis ToolPa 8 - GETTING AND TRANSFORMING DATA Connect to Data with Queries Clean and Combine Data Shape and Transform Data 9 - MODELING AND ANALYZING DATA WITH POWER PIVOT Install Power Pivot in Excel Create Data Models with Power Pivot Create Power Pivots Perform Advanced Data Analysis and Visualization 10 - PRESENTING INSIGHTS WITH REPORTS (OPTIONAL) Plan a Report Create a Report

face to face training customised and bespoke. One to One Online or Face to Face

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Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Electric Vehicle Battery Management System? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Electric Vehicle Battery Management System there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Electric Vehicle Battery Management System course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Electric Vehicle Battery Management System does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electric Vehicle Battery Management System was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Electric Vehicle Battery Management System is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01 - Introduction Introduction 00:03:00 Section 02 - Passive Cell Balancing Passive Cell Balancing: Working Principle 00:09:00 Passive Cell Balancing: Hardware Circuit Design 00:06:00 Passive Cell Balancing: Balancing Current deciding factor 00:06:00 Passive Cell Balancing: Calculations 00:08:00 Passive Cell Balancing: Assignment 00:02:00 Section 03 - Voltage Measurement Voltage Measurement in Battery management system 00:02:00 Voltage Measurement: Hardware circuit design 00:04:00 Voltage Measurement: Component selection techniques 00:06:00 Section 04 - Current Measurement Current Measurement: Battery Pack 00:05:00 Current Measurement: Current Sense Resistor-based Hardware Circuit 00:09:00 Current Measurement: Assignment 00:02:00 Current Measurement: Sense Resistor and External amplifier 00:08:00 Current Measurement with Sense Resistor and External Amplifier: Assignment 00:02:00 Current Measurement: Hall Effect sensor 00:07:00 Current Measurement: Datasheet understanding 00:10:00 Current Measurement: Calculations 00:06:00 Current Measurement using Hall Sensor: Assignment 00:02:00 Section 05 - Temperature Measurement Temperature Measurement: In BMS 00:10:00 Temperature Measurement: Thermistor Calculation 00:13:00 Temperature Measurement: Assignment 00:02:00 Section 06 - Coulomb Counting Coulomb Counting - SoC Estimation 00:05:00 Coulomb counting: Calculation 00:03:00 Coulomb counting: Assignment 00:07:00 Section 07 - BMS IC Selection What parameters are taken to select your right BMS IC? 00:13:00 A tour to Texas Instrumentsfor BMS IC selection 00:09:00 A tour to Texas Instruments: Battery Protectors 00:10:00 A tour to Texas Instruments: Battery Monitors and Balancers 00:09:00 A tour to Texas Instruments: Fuel Gauge IC 00:13:00 Section 08 - MCU for BMS MCU for BMS: Basics 00:04:00 MCU for BMS: Selection Technique 00:07:00 MCU for BMS: Assignment 00:02:00 Section 09 - Lithium-ion Battery Cell Modeling Cell Modeling 1 00:02:00 Cell Modeling 2 00:02:00 Cell Modeling 3 00:09:00 Cell Modeling 4 00:08:00 Cell Modeling 5 00:14:00 Section 10 - UART Communication Communication Protocol 1 00:05:00 Communication Protocol 2.1 00:10:00 Communication Protocol 2.2 00:07:00 Communication Protocol 2.3 00:07:00 Communication Protocol 2.4 00:06:00 UART Demo 1 00:12:00 UART Demo 2 00:07:00 Section 11 - I2C Communication I2C communication protocol 1 00:06:00 I2C communication protocol 2 00:04:00 I2C communication protocol 3 00:06:00 I2C communication protocol 4 00:12:00 I2C communication protocol 5 00:04:00 I2C communication protocol 6 00:05:00 I2C communication protocol 7 00:14:00 I2C Demo 2 00:15:00 Section 12 - SPI Communication SPI Communication 1 00:06:00 SPI Communication 2 00:07:00 SPI Communication 3 00:06:00 Section 13 - CAN Communication CAN Communication 1.1 00:03:00 CAN Communication 1.2 00:04:00 CAN Communication 1.3 00:06:00 CAN Communication 1.4 00:07:00 CAN Communication 1.5 00:04:00 CAN Communication 1.6 00:06:00 CAN Communication 1.8 00:05:00 Section 14 - Power Management Power management 1 00:04:00 Power management 2 00:04:00 Power management 3 00:04:00 Power management 4 00:05:00 Section 15 - BMS Design for 12V application BQ76925 Datasheet: Part 1 00:09:00 BQ76925 Datasheet: Part 2 00:09:00 BQ76925 Datasheet: Part 3 00:14:00 BQ76925 Datasheet: Part 4 00:13:00 BQ76925 Reference Design: 1 00:10:00 BQ76925 Reference Design: 2 00:06:00 BQ76925 Reference Design: 3 00:06:00 BQ76925 Reference Design: 4 00:15:00 BQ76925 Reference Design: 5 00:05:00 BQ76925 Reference Design: 6 00:07:00 BQ76925 Reference Design: 7 00:06:00 Section 16 - Thank you Thank you 00:03:00 Downloadable Resources Resource - Electric Vehicle Battery Management System 00:00:00

This course is perfect for the beginner but also delves into building a SAS Model and intermediate topics. Learn SAS Data Step, SQL Step, Macros, SAS Model Building, Predictive Analytics, SAS and ML. If you are using SAS Enterprise Guide and want to learn how to code/program instead of using the point-and-click interface, this course is ideal!

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Program/Project Managers, Technology Consultants, and Users. In this course, students will gain SAP Netweaver Business Warehouse knowledge necessary for successful implementation and administration within a heterogeneous SAP NetWeaver BW system landscape. Data Warehousing Describing Data Warehouse Systems Describing Data Warehouse Architecture Using the Data Warehousing Workbench Master Data Modeling in SAP BW Describing InfoObjects Creating Characteristic InfoObjects The Loading of Master Data from SAP Data Sources Describing Data Flow Modeling a Master Data Flow Loading a Master Data Flow Modeling with the Graphical Data Flow Tool Loading of Transaction Data from SAP DataSources Describing the Core InfoProviders Creating a Key Figure InfoObject Creating a DataStore Object (DSO) Loading Transaction Data into a Data Store Object Describing the Extended Star Schema of an InfoCube Creating InfoCubes Loading Transaction Data into an InfoCube Master Data Loading from Flat File Data Sources Loading Data From a Flat File Describing the Data Flow in Detail Describing the Data Loading Process in Detail InfoProviders in SAP BW Explaining the InfoProviders Used in SAP BW ? Introduction Creating MultiProviders Usage of SAP BI Content Using BI Content Query Performance Optimization Optimizing Query Performance Monitoring Performance Creating and Filling Aggregates The SAP BW Administration Describing Administrative Tasks and Tools Administrating the InfoCubes Administrating the DataStore Objects Creating Process Chains