4324 Operations courses in Gerrards Cross delivered Online

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Explore endless possibilities and achieve tangible results with our wide range of online courses, prepared to suit every interest and skill level. Each course is thoughtfully designed for flexibility and useful application, ensuring you can learn and grow at your own pace from anywhere and transform your talents to accomplish your goals. Whether you're advancing your career, pursuing a passion, or seeking new opportunities, our courses will assist you in reaching your goals. Our HR Project Manager package, with the latest digital study materials and innovative learning methods, will give you in-depth knowledge of this domain. As an HR Project Manager, you have endless opportunities if you have the right knowledge and skills. Therefore, to make your career journey successful, we designed this bundle as a one-stop solution for you. Join us today and take the next step in your personal and professional journey with confidence and convenience. Start shaping your future now. Moreover, you will keep yourself up to date with the current situation in the area of your interest. This 20-in-1 Ultimate HR Project Manager bundle consists of the following Courses: Course 01: HR Management Course 02: HR Virtual Interview Techniques Course 03: Managing Online Meetings Course 04: Decision-Making in High Stress Course 05: Supporting a Grieving Employee Course 06: Working from Home Essentials Course 07: HR Crisis Communication Training Course 08: Employment Law for HR Course 09: Operations Management Course 10: Emotional Intelligence and Human Behaviour Course 11: Administrative Management Course 12: Managing Budgets Course 13: Business Analysis Course 14: Business Ethics for the Office Course 15: Diploma in Management Skills Course 16: Goal Setting & Accomplishment Course 17: Team Management Advanced Training Course 18: Talent Management Course 19: Creative Thinking and Innovation Course 20: Ethical Leadership Principles Additionally, you will get 5 other career-guided courses in this HR Project Manager bundle: Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Course 04: Video Job Interview for Job Seekers Course 05: Create a Professional LinkedIn Profile So, stop scrolling down and enrol in this HR Project Manager bundle to procure the skills and aptitude with Apex Learning to outshine all your peers. Learning Outcomes of HR Project Manager Bundle This career-oriented bundle will help you to Gain the ability to excel in the role of HR Project Manager Know your responsibilities as HR Project Manager and convey your experience to others Gain excellent interpersonal and communication skills Know the pros and cons of working as an HR Project Manager Adhere to the regulations around this area Gain time and risk management skills to ensure efficiency Manipulate technological advancement to become more effective Maintain moral standards and set an example for your peers CPD 250 CPD hours/points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this HR Project Manager bundle. Requirements This HR Project Manager course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificate for the title course (HR Management) for absolutely free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

This course embarks on a journey through advanced strategies in Customer Relationship Management (CRM), exploring pivotal concepts and methods essential for effective implementation. Upon successful completion, participants will gain proficiency in the following areas:   Explore CRM models driving loyalty and engagement to shape successful customer relationships. Delve into managing interactions, fostering enduring relationships via empathetic communication and issue resolution. Uncover the customer lifecycle stages, gaining insights into navigation and optimization from awareness to loyalty. Explore CLV's (Customer Lifetime Value) importance, its calculation, and leveraging for strategic business decisions. This course delves into advanced CRM strategies, including diverse models fostering loyalty and engagement. It covers managing interactions, navigating customer lifecycles, and leveraging Customer Lifetime Value (CLV) for strategic decision-making. This course delves deeply into CRM strategies, including advanced models, customer interaction management, and customer lifecycle value, aiming to equip professionals with vital skills for business success. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Exploring Advanced Strategies in Customer Relationship Management (CRM) Self-paced pre-recorded learning content on this topic. Exploring Advanced Strategies In Customer Relationship Management Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CRM Manager Relationship Marketing Manager Customer Experience Manager Sales Operations Manager Customer Retention Specialist Business Development Manager Account Manager Customer Success Manager CRM Implementation Consultant Marketing Automation Specialist Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

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The course aim is to provide the learner with essential conceptual and practical inputs on how change is managed in an organization including understanding the basics of change management, overcoming resistance to change, and getting people on board for change success. The learner will be able to relate to change management with a practical case study. After the successful completion of this course, the learner will be able to. Understand Organisational Change Understand Organisational Change Management (OCM) Change Management Models 1. Lewin's Change Management Model 2. McKinsey 7-S Model 3. Kotter's 8 Step Change Model Who is Change Agent? What is Change Leadership? Acquiring Change Agent and Change Leadership Skills Steps of Strategic Change Case Study - Domino's Pizza VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding Organisational Strategic Change Management Self-paced pre-recorded learning content on this topic. Quiz: Understanding Organisational Strategic Change Management Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the knowledge of the learner in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Learning and Development Manager Strategy Manager Change Manager Organizational Behaviour Specialist Operations Manager Team Lead Average Completion Time 2 Weeks Accreditation 1 CPD Hour Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

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Duration 1 Days 6 CPD hours This course is intended for System administrators and security operations personnel, including analysts and managers Overview By the end of the course, you should be able to meet the following objectives: Manage and configure the Carbon Black App Control sever based on organizational requirements. Implement rules to support business processes and automatic approvals. Identify scenarios and use cases for Custom rules and Event rules. Describe common troubleshooting scenarios for the Carbon Black App Control server. Describe common troubleshooting scenarios for the Carbon Black App Control Windows agent. This course teaches you how to configure and scope the rules within VMware Carbon Black© App ControlTM product to maintain the system according to your organization?s security posture and organizational policies. Additionally, this course covers troubleshooting both the server and the agent for Carbon Black App Control and how to identify issues that impact normal operations. This course provides an in-depth, technical understanding of the Carbon Black App Control product through comprehensive coursework and hands-on scenario-based labs. Course Introduction Introductions and course logistics Course objectives Custom Rules Basics Execute / Write action rules Precedence Paths tom Rules Best Practices Rule Triad Rule multiplication Rule Types Custom rule type overview Optimizing Custom Rules Evaluating events Event Rules Creating and editing Testing before implementing Creating and editing Testing before implementing Server versus agent issues Server Capabilities Tools, logs, common issues, scenarios Agent Capabilities Tools, logs, common issues, scenarios