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Venture into the dynamic world of credit control, focusing on contemporary tools and technologies to ensure financial stability in any enterprise.

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes * Develop a foundational understanding of R's role in data science and proficiency in RStudio. * Gain fluency in R programming basics, enabling the handling of complex data tasks. * Acquire skills in managing various R data structures for efficient data analysis. * Master relational and logical operations for advanced data manipulation in R. * Learn to create functions and utilize R packages for expanded analytical capabilities. WHY CHOOSE THIS R PROGRAMMING FOR DATA SCIENCE COURSE? 1. Unlimited access to the course for a lifetime. 2. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. 3. Structured lesson planning in line with industry standards. 4. Immerse yourself in innovative and captivating course materials and activities. 5. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. 6. Flexibility to complete the Course at your own pace, on your own schedule. 7. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. 8. Unlock career resources for CV improvement, interview readiness, and job success. WHO IS THIS R PROGRAMMING FOR DATA SCIENCE COURSE FOR? * Beginners in data science eager to learn R programming. * Data analysts and scientists looking to enhance their skills in R. * Researchers in various fields requiring advanced data analysis tools. * Statisticians seeking to adopt R for more sophisticated data manipulations. * Professionals in finance, healthcare, and other sectors needing data-driven insights. CAREER PATH * Data Scientist (R Expertise): £30,000 - £70,000 * Data Analyst (R Programming Skills): £27,000 - £55,000 * Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 * Quantitative Analyst (R Knowledge): £40,000 - £80,000 * Research Analyst (R Usage): £25,000 - £50,000 * Business Intelligence Developer (R Familiarity): £32,000 - £65,000 PREREQUISITES This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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. CERTIFICATION After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. COURSE CURRICULUM Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

Register on the Financial Controller Training today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Financial Controller Training is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! WHAT YOU GET WITH THE FINANCIAL CONTROLLER TRAINING * Receive a e-certificate upon successful completion of the course * Get taught by experienced, professional instructors * Study at a time and pace that suits your learning style * Get instant feedback on assessments  * 24/7 help and advice via email or live chat * Get full tutor support on weekdays (Monday to Friday) COURSE DESIGN The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of * Video lessons * Online study materials CERTIFICATION Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. WHO IS THIS COURSE FOR: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. REQUIREMENTS: The online training is open to all students and has no formal entry requirements. To study the Financial Controller Training, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. COURSE CONTENT Module 01: The Concept of Financial Controller The Concept of Financial Controller 00:28:00 Module 02: Financial Statement Financial Statement 00:34:00 Module 03: Financial Analysis Financial Analysis 00:44:00 Module 04: Ratio Analysis Ratio Analysis 00:42:00 Module 05: Planning, Budgeting and Forecasting Planning, Budgeting and Forecasting 00:47:00 Module 06: Budgetary Control Budgetary Control 00:54:00 Module 07: Internal Control and Cash Internal Control and Cash 01:05:00 Module 08: Strategic Management Decision Strategic Management Decision 01:05:00 Module 09: Financial Audit Financial Audit 00:48:00 FREQUENTLY ASKED QUESTIONS Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

OVERVIEW This comprehensive course on R Programming for Data Science will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This R Programming for Data Science comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. HOW WILL I GET MY CERTIFICATE? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. WHO IS THIS COURSE FOR? There is no experience or previous qualifications required for enrolment on this R Programming for Data Science. It is available to all students, of all academic backgrounds. REQUIREMENTS Our R Programming for Data Science is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. CAREER PATH Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. COURSE CURRICULUM 23 sections • 129 lectures • 06:25:00 total length •Introduction to Data Science: 00:01:00 •Data Science: Career of the Future: 00:04:00 •What is Data Science?: 00:02:00 •Data Science as a Process: 00:02:00 •Data Science Toolbox: 00:03:00 •Data Science Process Explained: 00:05:00 •What's Next?: 00:01:00 •Engine and coding environment: 00:03:00 •Installing R and RStudio: 00:04:00 •RStudio: A quick tour: 00:04:00 •Arithmetic with R: 00:03:00 •Variable assignment: 00:04:00 •Basic data types in R: 00:03:00 •Creating a vector: 00:05:00 •Naming a vector: 00:04:00 •Vector selection: 00:06:00 •Selection by comparison: 00:04:00 •What's a Matrix?: 00:02:00 •Analyzing Matrices: 00:03:00 •Naming a Matrix: 00:05:00 •Adding columns and rows to a matrix: 00:06:00 •Selection of matrix elements: 00:03:00 •Arithmetic with matrices: 00:07:00 •Additional Materials: 00:00:00 •What's a Factor?: 00:02:00 •Categorical Variables and Factor Levels: 00:04:00 •Summarizing a Factor: 00:01:00 •Ordered Factors: 00:05:00 •What's a Data Frame?: 00:03:00 •Creating Data Frames: 00:20:00 •Selection of Data Frame elements: 00:03:00 •Conditional selection: 00:03:00 •Sorting a Data Frame: 00:03:00 •Additional Materials: 00:00:00 •Why would you need lists?: 00:01:00 •Creating a List: 00:06:00 •Selecting elements from a list: 00:03:00 •Adding more data to the list: 00:02:00 •Additional Materials: 00:00:00 •Equality: 00:03:00 •Greater and Less Than: 00:03:00 •Compare Vectors: 00:03:00 •Compare Matrices: 00:02:00 •Additional Materials: 00:00:00 •AND, OR, NOT Operators: 00:04:00 •Logical operators with vectors and matrices: 00:04:00 •Reverse the result: (!): 00:01:00 •Relational and Logical Operators together: 00:06:00 •Additional Materials: 00:00:00 •The IF statement: 00:04:00 •IFELSE: 00:03:00 •The ELSEIF statement: 00:05:00 •Full Exercise: 00:03:00 •Additional Materials: 00:00:00 •Write a While loop: 00:04:00 •Looping with more conditions: 00:04:00 •Break: stop the While Loop: 00:04:00 •What's a For loop?: 00:02:00 •Loop over a vector: 00:02:00 •Loop over a list: 00:03:00 •Loop over a matrix: 00:04:00 •For loop with conditionals: 00:01:00 •Using Next and Break with For loop: 00:03:00 •Additional Materials: 00:00:00 •What is a Function?: 00:02:00 •Arguments matching: 00:03:00 •Required and Optional Arguments: 00:03:00 •Nested functions: 00:02:00 •Writing own functions: 00:03:00 •Functions with no arguments: 00:02:00 •Defining default arguments in functions: 00:04:00 •Function scoping: 00:02:00 •Control flow in functions: 00:03:00 •Additional Materials: 00:00:00 •Installing R Packages: 00:01:00 •Loading R Packages: 00:04:00 •Different ways to load a package: 00:02:00 •Additional Materials: 00:00:00 •What is lapply and when is used?: 00:04:00 •Use lapply with user-defined functions: 00:03:00 •lapply and anonymous functions: 00:01:00 •Use lapply with additional arguments: 00:04:00 •Additional Materials: 00:00:00 •What is sapply?: 00:02:00 •How to use sapply: 00:02:00 •sapply with your own function: 00:02:00 •sapply with a function returning a vector: 00:02:00 •When can't sapply simplify?: 00:02:00 •What is vapply and why is it used?: 00:04:00 •Additional Materials: 00:00:00 •Mathematical functions: 00:05:00 •Data Utilities: 00:08:00 •Additional Materials: 00:00:00 •grepl & grep: 00:04:00 •Metacharacters: 00:05:00 •sub & gsub: 00:02:00 •More metacharacters: 00:04:00 •Additional Materials: 00:00:00 •Today and Now: 00:02:00 •Create and format dates: 00:06:00 •Create and format times: 00:03:00 •Calculations with Dates: 00:03:00 •Calculations with Times: 00:07:00 •Additional Materials: 00:00:00 •Get and set current directory: 00:04:00 •Get data from the web: 00:04:00 •Loading flat files: 00:03:00 •Loading Excel files: 00:05:00 •Additional Materials: 00:00:00 •Base plotting system: 00:03:00 •Base plots: Histograms: 00:03:00 •Base plots: Scatterplots: 00:05:00 •Base plots: Regression Line: 00:03:00 •Base plots: Boxplot: 00:03:00 •Introduction to dplyr package: 00:04:00 •Using the pipe operator (%>%): 00:02:00 •Columns component: select(): 00:05:00 •Columns component: rename() and rename_with(): 00:02:00 •Columns component: mutate(): 00:02:00 •Columns component: relocate(): 00:02:00 •Rows component: filter(): 00:01:00 •Rows component: slice(): 00:04:00 •Rows component: arrange(): 00:01:00 •Rows component: rowwise(): 00:02:00 •Grouping of rows: summarise(): 00:03:00 •Grouping of rows: across(): 00:02:00 •COVID-19 Analysis Task: 00:08:00 •Additional Materials: 00:00:00 •Assignment - R Programming for Data Science: 00:00:00

Begin your sales journey with the ‘Diploma in Sales’ course. From sales skills development to market understanding, presentation techniques, and future trends, this course provides a foundational blueprint for success in the sales arena.

Welcome to the world of cost control and management, where every penny counts! Our Cost Control Process and Management course is your gateway to mastering the art of managing and optimizing expenses in any business setting. As you embark on this journey, you'll explore the fundamentals of cost control, understanding how it plays a pivotal role in driving profitability and efficiency. Delve into the intricacies of the cost control process, where you'll learn essential techniques for monitoring costs, conducting production control, and implementing checks to keep your finances on track. By the end of this course, you'll be equipped with the skills and knowledge to ensure that every pound spent is a pound well-invested. Learning Outcomes * Gain a comprehensive understanding of the principles and fundamentals of cost control. * Explore the cost control process, from budgeting to variance analysis. * Learn how to conduct effective production control and quality tests to optimize costs. * Master the art of monitoring expenses using detailed reports and checklists. * Acquire the skills needed to make data-driven decisions that positively impact a business's bottom line. WHY CHOOSE THIS COST CONTROL PROCESS AND MANAGEMENT COURSE? 1. Unlimited access to the course for a lifetime. 2. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. 3. Structured lesson planning in line with industry standards. 4. Immerse yourself in innovative and captivating course materials and activities. 5. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. 6. Flexibility to complete the Course at your own pace, on your own schedule. 7. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. 8. Unlock career resources for CV improvement, interview readiness, and job success. WHO IS THIS COST CONTROL PROCESS AND MANAGEMENT COURSE FOR? * Aspiring entrepreneurs aiming to manage their businesses' financial health. * Business professionals looking to enhance their financial management skills. * Students and graduates seeking to specialize in cost control and management. * Anyone interested in understanding the art of optimizing expenses in any business context. * Finance enthusiasts eager to make a significant impact on profitability and efficiency. CAREER PATH * Cost Analyst: £25,000 - £45,000 * Financial Controller: £35,000 - £75,000 * Operations Manager: £30,000 - £65,000 * Management Accountant: £28,000 - £55,000 * Financial Manager: £40,000 - £80,000 * Chief Financial Officer (CFO): £65,000 - £150,000 PREREQUISITES This Cost Control Process and Management does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Cost Control Process and Management 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. CERTIFICATION After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. COURSE CURRICULUM Introduction & Fundamentals Introduction and Fundamental Terms 00:09:00 Fundamental terms - Perishable / Non Perishable cost, Inventory Terms 00:05:00 Qualities of Good Cost Controller 00:07:00 Cost Control process Cost Control Process and Controls related to Purchasing 00:10:00 How to estimate Kitchen food Order Process Simplified 00:06:00 How to Setup Store PAR for to identify re-order levels 00:06:00 Basic Receiving Process Controls 00:07:00 Basic Store Process controls 00:08:00 Production Control and Tests Production Controls 00:05:00 Recipe Card & Controls 00:08:00 Buffet Costing and Menu Pricing 00:08:00 Test and Checks in Cost Control Butcher test 00:09:00 Bar Spot Checks and Recipe Testing 00:06:00 Production Control Via Menu Engineering 00:08:00 Slow and Non Moving Inventory 00:03:00 Monitoring via reports and Checklist Daily & Monthly Food Cost Reports 00:11:00 Menu Engineering Reports 00:09:00 Cost Control Checklist 00:03:00 Assignment Assignment - Cost Control Process and Management 00:00:00

The 12 day live training course for BCS International Diploma in Business Analysis will help build your career as a business analyst, business architect, data analyst, enterprise analyst, management consultant...

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Server Administrators Systems Engineers Storage Administrators Technical Solutions Architects Integrators and Partners Consulting Systems Engineers Network Administrators Network Engineers Network Managers Architects Overview Upon completion of this course, the student will be able to meet these overall objectives: Understand, describe, and configure Cisco Intersight (on prem and SaaS models) Understand, describe, and configure Intersight Advanced features (IST, ICO, IWOM) Understand, describe, and configure IMM and UMM mode for UCS Understand, describe, and configure Cisco X-Series (FI, IFM, X210c Server, Adv Fabric Module) Create Intersight Pools, Policies, and Management for X-Series Design and operate Cisco UCS with Intersight Managed Mode Solutions This deep-dive training covers Cisco UCS X-Series server family and how Intersight can be the enablement platform for all UCS servers. We will cover Intersight features such as IWOM, IST, ICO, and programmability either On-Prem or in the Cloud. Attendees will learn the breadth of the physical X-Series (pools, policies, firmware, so much more) platform as well as maintaining existing infrastructure with Intersight Infrastructures Services. Also covered is how to manage physical, virtual, cloud platforms and deploy to any or all. SECTION 1: INTERSIGHT FOUNDATIONS * Intersight Architecture * Flexible Deployment Models * Cisco Intersight Infrastructure Service Licensing * Intersight Essentials License Tier * Intersight Advantage License Tier * Intersight Premier License Tier SECTION 2: MONITORING AND MAINTAINING UCS INFRASTRUCTURE WITH INTERSIGHT * Device Health and Monitoring * Standalone Management for UCS C-Series Servers * Server Compatibility (HCL), Advisories (CVEs), and Contract Status * Firmware Upgrades SECTION 3: DESIGNING & OPERATIONALIZING CISCO UCS SOLUTIONS WITH INTERSIGHT * Implementing Cisco Hyperflex with Intersight * Managing Cisco HyperFlex in vSphere Environment SECTION 4: CISCO UCS M5, M6, X OVERVIEW AND CONFIGURATION * Cisco UCS X-Series with Intersight Deployment * Architecture * X-Series Fabric Interconnects * Compute X-Series * Power/Cooling Efficiency * Cooling Capacity * Airflow * Thermal Policies * Future-Proof Cooling * Power Policies * Compute Series * Architecture ? C220 M6 * Architecture ? C240 M6 * Cisco VIC Offerings for M6 * GPU Offerings for X-Series * Management Options for C220 / C240 M6 Rack Servers * UCS 7th Generation Intel Rack Servers * Architecture ? C220 M7 * Architecture ? C240 M7 * Intel 4th Gen Intel© Xeon© SP Sapphire Rapids High Level Features * M7 Memory DIMMs * Architecture ? C225 M6 * Architecture ? C245 M6 SECTION 5: DESIGNING CISCO UCS LAN AND SAN CONNECTIVITY * LAN Connectivity Overview Gen 4 * End Host Mode * Requirements for Configuring VLANs in Cisco UCS Manager * Role of the vNIC in Abstracting MAC Addresses * Configuring Compute Node SAN Connectivity * Fibre Channel Switching * Fibre Channel Operating Modes * EHM and N-Port Virtualization * Configuring VSANs in Cisco UCS Manager * Creating VSANs and FCoE VLANs in Cisco UCS * Role of vHBAs when Abstracting WWNNs and WWPNs into a Service Profile * Configuring Manual Uplink Pinning and Recovery from Failure SECTION 6: CONFIGURING CISCO UCS-X IN IMM MODE * IMM and Domain Profiles * Domain Policy Concepts and Usage * Cisco Intersight Server Profiles * Creating and Deploying a UCS C-Series Server Profile ? Process Overview * Importing a Server Profile ? Process Overview * Upgrading Firmware * Cisco IMM Transition Tool * Thermal Policies * Power Policies SECTION 7: IMPLEMENTING CISCO UCS-X FIRMWARE UPDATES * Intersight Platform Firmware Operations Overview * Intersight Firmware Bundles * Cisco Stand-Alone Firmware Management * Cisco HX Firmware Management * UCS Managed Infrastructure Firmware Management * UCS Intersight Managed Mode Firmware Management * Hardware Compatibility List SECTION 8: INTERSIGHT WORKLOAD OPTIMIZER (IWO) * Intersight Workload Optimizer Overview * IWO Delivery and Tiers * Workload Optimizer ? What?s New? * IWO Value Proposition * Application Resource Management * IWO Market SECTION 9: INTERSIGHT CLOUD ORCHESTRATOR (ICO) * Sample Scenario * Workflow Designer * Validate and Execute a Workflow * ICO ? Intersight Cloud Orchestrator * Infrastructure Orchestration * Infrastructure as Code with ICO * Immutability with Intersight Cloud Orchestrator * Workflow Versions * Rollback Tasks (Task Designer) SECTION 10: INTERSIGHT API OVERVIEW * Intersight API Resources * SDKs / Ansible Modules * Use Case ADDITIONAL COURSE DETAILS: Nexus Humans Administering Cisco UCS X-Series Solutions with Intersight (INTUCSX) 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 Administering Cisco UCS X-Series Solutions with Intersight (INTUCSX) 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.

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Duration 2 Days 12 CPD hours This course is intended for This course is intended for Sales Representatives (SR), Sales Managers and End-users who have an interest in the Sales components of Dynamics 365. Students should have an existing working knowledge of either Microsoft Dynamics 365 or Microsoft Dynamics CRM. As a minimum, students should attend the prerequisite course Introduction to Microsoft Dynamics 365 Overview Understand the features and tools that exist in Microsoft Dynamics 365 for SR?s and Sales Managers. Be familiar with the stages of the Sales Order. Process in Microsoft Dynamics 365. Understand the fundamentals of Lead and Opportunity Management. Be able to track, manage, qualify Leads and convert to Opportunities and related customer records in Microsoft Dynamics 365. Know how to disqualify and cancel Leads, and convert Activity records to Leads and Opportunities. Understand how to collaborate on Opportunities with other SR?s and close Opportunity records as Won and Lost. Be able to track Competitors and Stakeholders. Understand how to view Resolution Activities. Add Products and Write-In Products to Opportunities. Build and maintain a repository of Products, Product Bundles and Product Families in the Product Catalog. Configure Unit Groups, Price Lists and Discount Lists. Work with Product Properties and view a Product Hierarchy. Create Quotes and add Products. Work with the Sales Order Process to convert Quotes to Orders and Invoices. Fulfill Orders and manage Invoice payments. Explore the Sales Reports and create a custom Sales Report using the Reporting Wizard in Microsoft Dynamics 365. Understand the significance of Sales Goal Management and Metrics in Microsoft Dynamics 365. Explore the Sales Charts and Dashboards and create a custom Sales Dashboard in Microsoft Dynamics 365. This course provides students with a detailed hands-on experience of the Salesfeatures and components of Microsoft Dynamics 365. INTRODUCTION * Sales Order Process Scenarios * An Introduction to Sales in Dynamics 365 * The Dynamics 365 Platform * Dynamics 365 Sales Fundamentals * Security Considerations * Where to get Help * Further Reading and Resources LEAD MANAGEMENT * The Lead Management Process * Working with Lead Records * Working with the Lead Form * Lead Assignment * Leads and Activities * Qualifying a Lead * Disqualifying a Lead OPPORTUNITIES MANAGEMENT * Introduction to Opportunities * The Opportunity Views * The Opportunity Form * Opportunity Sales Process * Closing an Opportunity * Resolution Activities PRODUCTS * Introduction to the Product Catalog * Adding Products * Configuring Unit Groups * Price Lists and Price List Items QUOTES, ORDERS AND INVOICES * Introduction to Order Processing * Adding Products to an Opportunity * Working with Quotes * Working with Orders * Working with Invoices SALES ANALYSIS * Introduction to Sales Analysis in Dynamics 365 * The Sales Reports * The Reporting Wizard * Working with Sales Charts * Working with Sales Dashboards * Working with Sales Goals and Metrics