2789 Intelligence courses in Nottingham delivered Online

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

This course aims to provide a solid foundation for educators to stay current with the latest advancements in AI (ChatGPT) and prepare them to integrate these cutting-edge tools into their everyday teaching practices, transforming the educational experience for both them and their students.

Teacher Training Diploma Level 5 course equips learners with essential teaching skills and knowledge to excel in the education sector. It provides comprehensive insights into effective teaching methodologies, psychology in teaching, and strategies for managing diverse classroom situations.

This video course will teach you the basics of Structured Query Language (SQL), such as writing SQL queries, creating and updating tables, and importing and exporting data from comma separated values (CSV) and Excel files. You'll also learn about the SQL and database skills you need to become a self-sufficient digital analyst or marketer who can extract marketing data from the backend without assistance.

The Fintech Frontier: Why FDs Need to Know About Fintech,” the podcast where we delve into the world of financial technology There are numerous areas where fintech can make a significant impact. For example, payment processing and reconciliation can be streamlined through digital payment solutions and automated tools. Data analytics and artificial intelligence can enhance financial forecasting, risk management, and fraud detection. Blockchain technology can revolutionize supply chain finance and streamline processes involving multiple parties. By understanding the capabilities of these fintech solutions, FDs can identify areas for improvement and select the right technologies to optimise their financial operations. Additionally, fintech can greatly enhance financial reporting and analysis. Advanced data analytics tools can extract meaningful insights from vast amounts of financial data, enabling FDs to make data-driven decisions and identify trends and patterns. Automation of repetitive tasks, such as data entry and reconciliation, reduces the risk of errors and frees up valuable time for FDs to focus on strategic initiatives. The adoption of cloud-based financial management systems also provides flexibility, scalability, and real-time access to financial data, empowering FDs to make informed decisions on the go. With the rapid pace of fintech advancements, how can FDs stay up to date and navigate the evolving fintech landscape? Continuous learning and engagement with the fintech community are key. Attend industry conferences, participate in webinars and workshops, and engage with fintech startups and established players. Networking with professionals in the field, joining fintech-focused associations, and following relevant publications and blogs can help FDs stay abreast of the latest fintech developments. Embracing a mindset of curiosity and adaptability is crucial in navigating the ever-changing fintech landscape. I would also encourage FDs to foster partnerships and collaborations with fintech companies. Engage in conversations with fintech providers to understand their solutions and explore potential synergies. By forging strategic partnerships, FDs can gain access to cutting-edge technologies and co-create innovative solutions tailored to their organisation’s unique needs. As we conclude, do you have any final thoughts or advice for our FD audience regarding fintech? Embrace fintech as an opportunity, not a threat. Seek to understand its potential and how it can align with your organisation’s goals and strategies. Be open to experimentation and pilot projects to test the viability of fintech solutions. Remember that fintech is a tool to enhance and optimize financial processes, and as FDs, we have a crucial role in driving its effective implementation. https://www.fdcapital.co.uk/podcast/the-fintech-frontier-why-fds-need-to-know-about-fintech/ Tags Online Events Things To Do Online Online Conferences Online Business Conferences #event #fintech #knowledge #fds #frontier

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? 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 Python Data Science with Numpy, Pandas and Matplotlib 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 Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib 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 Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00

A beginner's level course that will help you learn data engineering techniques for building metadata-driven frameworks with Azure data engineering tools such as Data Factory, Azure SQL, and others. You need not have any prior experience in Azure Data Factory to take up this course.

Overview This comprehensive course on CompTIA Security+ (SY0-601) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA Security+ (SY0-601) 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 CompTIA Security+ (SY0-601). It is available to all students, of all academic backgrounds. Requirements Our CompTIA Security+ (SY0-601) 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 164 lectures • 20:35:00 total length •Introduction to CompTIA Security+ SY0-601: 00:03:00 •About the CompTIA Security+ SY0-601 Exam: 00:03:00 •Defining Risk: 00:08:00 •Threats and Vulnerabilities: 00:07:00 •Threat Intelligence: 00:11:00 •Risk Management Concepts: 00:07:00 •Security Controls: 00:09:00 •Risk Assessments and Treatments: 00:06:00 •Quantitative Risk Assessments: 00:07:00 •Qualitative Risk Assessments: 00:04:00 •Business Impact Analysis: 00:09:00 •Data Types and Roles: 00:11:00 •Security and the Information Life Cycle: 00:09:00 •Data Destruction: 00:06:00 •Personnel Risk and Policies: 00:10:00 •Third-Party Risk Management: 00:09:00 •Agreement Types: 00:07:00 •Exam Question Review: 00:02:00 •Wiping Disks with the dd Command Lab: 00:06:00 •Ask Me Anything (AMA): 00:02:00 •Cryptography Basics: 00:16:00 •Data Protection: 00:09:00 •Cryptographic Methods: 00:07:00 •Symmetric Cryptosystems: 00:13:00 •Symmetric Block Modes: 00:08:00 •Asymmetric Cryptosystems: 00:13:00 •Diffie-Hellman: 00:07:00 •Hashing: 00:09:00 •Understanding Digital Certificates: 00:08:00 •Trust Models: 00:05:00 •Public Key Infrastructure: 00:04:00 •Certificate Types: 00:14:00 •Touring Certificates: 00:09:00 •Cryptographic Attacks: 00:05:00 •Password Cracking: 00:10:00 •Password Cracking Demo: 00:06:00 •Exam Question Review: 00:02:00 •SSH Public Key Authentication Lab: 00:09:00 •Ask Me Anything (AMA): 00:02:00 •Identification, Authentication, and Authorization: 00:08:00 •Enabling Multifactor Authentication: 00:05:00 •Authorization: 00:05:00 •Accounting: 00:05:00 •Authentication Methods: 00:14:00 •Access Control Schemes: 00:07:00 •Account Management: 00:13:00 •Network Authentication: 00:09:00 •Identity Management Systems: 00:06:00 •Exam Question Review: 00:02:00 •Creating LInux Users and Groups Lab: 00:06:00 •Ask Me Anything (AMA): 00:01:00 •Touring the CLI: 00:16:00 •Shells: 00:06:00 •The Windows Command Line: 00:05:00 •Microsoft PowerShell: 00:13:00 •Linux Shells: 00:12:00 •Python Scripts: 00:07:00 •Windows Command-Line Tools: 00:16:00 •Linux Command-Line Tools: 00:10:00 •Network Scanners: 00:05:00 •Network Scanning with Nmap: 00:09:00 •Network Protocol Analyzers: 00:08:00 •Using Wireshark to Analyze Network Traffic: 00:09:00 •Using tcpdump to Analyze Network Traffic: 00:08:00 •Log Files: 00:09:00 •Centralized Logging: 00:09:00 •Configuring Linux Log Forwarding: 00:08:00 •Exam Question Review: 00:03:00 •Lunux Shell Script Lab: 00:07:00 •Nmap Lab: 00:05:00 •Ask Me Anything (AMA): 00:02:00 •Malware: 00:14:00 •Weak Configurations: 00:12:00 •Common Attacks: 00:09:00 •Driver and Overflow Attacks: 00:08:00 •Password Attacks: 00:08:00 •Bots and Botnets: 00:06:00 •Disk RAID Levels: 00:10:00 •Securing Hardware: 00:11:00 •Securing Endpoints: 00:09:00 •Exam Question Review: 00:02:00 •Linux Software RAID Lab: 00:08:00 •Ask Me Anything (AMA): 00:02:00 •The OSI Model: 00:13:00 •ARP Cache Poisoning: 00:09:00 •Other Layer 2 Attacks: 00:05:00 •Network Planning: 00:07:00 •Load Balancing: 00:06:00 •Securing Network Access: 00:06:00 •Honeypots: 00:06:00 •Firewalls: 00:11:00 •Proxy Servers: 00:06:00 •Network and Port Address Translation: 00:07:00 •IP Security (IPsec): 00:09:00 •Virtual Private Networks (VPNs): 00:10:00 •Intrusion Detection and Prevention Systems (IDS/IPS): 00:13:00 •Exam Question Review: 00:03:00 •Linux Snort IDS Lab: 00:07:00 •Ask Me Anything (AMA): 00:01:00 •Wi-Fi Encryption Standards: 00:10:00 •RFID, NFC, and Bluetooth: 00:07:00 •Wi-Fi Coverage and Performance: 00:08:00 •Wi-Fi Discovery and Attacks: 00:12:00 •Cracking WPA2: 00:10:00 •Wi-Fi Hardening: 00:11:00 •Exam Question Review: 00:02:00 •WPA2 Cracking Lab: 00:06:00 •Ask Me Anything (AMA): 00:01:00 •Defining a Public Server: 00:01:00 •Common Attacks and Mitigations: 00:10:00 •Containers and Software-Defined Networking: 00:11:00 •Hypervisors and Virtual Machines: 00:08:00 •Cloud Deployment Models: 00:09:00 •Cloud Service Models: 00:08:00 •Securing the Cloud: 00:10:00 •Exam Question Review: 00:02:00 •Docker Container Lab: 00:04:00 •Ask Me Anything (AMA): 00:02:00 •Embedded Systems: 00:13:00 •Industrial Control System (ICS): 00:07:00 •Internet of Things (IoT) Devices: 00:10:00 •Connecting to Dedicated and Mobile Systems: 00:11:00 •Security Constraints for Dedicated Systems: 00:05:00 •Mobile Device Deployment and Hardening: 00:11:00 •Exam Question Review: 00:03:00 •Smartphone Hardening Lab: 00:03:00 •Ask Me Anything (AMA): 00:02:00 •Physical Security Overview: 00:01:00 •Physical Security: 00:10:00 •Keylogger Demo: 00:05:00 •Environmental Controls: 00:05:00 •Exam Question Review: 00:02:00 •Physical Security Lab: 00:03:00 •Ask Me Anything (AMA): 00:03:00 •DNS Security: 00:05:00 •FTP Packet Capture: 00:03:00 •Secure Web and E-mail: 00:02:00 •Request Forgery Attacks: 00:05:00 •Cross-Site Scripting Attacks: 00:07:00 •Web Application Security: 01:20:00 •Web App Vulnerability Scanning: 00:06:00 •Exam Question Review: 00:03:00 •OWASP ZAP Web App Scan Lab: 00:04:00 •Ask Me Anything (AMA): 00:02:00 •Testing Infrastructure Overview: 00:05:00 •Social Engineering: 00:06:00 •Social Engineering Attacks: 00:11:00 •Vulnerability Assessments: 00:09:00 •Penetration Testing: 00:10:00 •Security Assessment Tools: 00:12:00 •The Metasploit Framework: 00:08:00 •Exam Question Review: 00:02:00 •Hping3 Forged Packet Lab: 00:06:00 •Ask Me Anything (AMA): 00:02:00 •Incident Response Overview: 00:03:00 •Incident Response Plans (IRPs): 00:06:00 •Threat Analysis and Mitigating Actions: 00:08:00 •Digital Forensics: 00:12:00 •Gathering Digital Evidence: 00:10:00 •Business Continuity and Alternate Sites: 00:06:00 •Data Backup: 00:10:00 •Exam Question Review: 00:01:00 •Autopsy Forensic Browser Lab: 00:05:00 •Ask Me Anything (AMA): 00:02:00

Description: Customer Service and Relation Management Diploma This Diploma in Customer Service and Relation Management aims to address the development of service industries and the need for customer-supplier relationship. This program equips one with knowledge and skills related to service marketing, customer service, customer relationship management, service design, service quality management, etc. Customer Relationship Management (CRM) is a business strategy for maximizing shareholder value through acquiring, enhancing and retaining desired customers. This course will examine the concepts, processes and technologies an organization uses to achieve superior performance through client intelligence. Aligning business activities around the client creates an opportunity to collect an extensive quantity of client-related descriptive and behavioural data, which shall be very useful. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Customer Service and Relation Management Diploma is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience or qualification required for this course, it is available for all students from any academic background. Requirements Our Customer Service and Relation Management Diploma is fully compatible with any kind of device. Whether using a Windows computer, Mac, smartphone or tablet, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course, you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Understanding Customer Service Understanding Customer Service FREE 00:17:00 Identifying Customer Expectations 00:06:00 Providing Excellent Customer Service 00:07:00 Focusing on the Customer 00:08:00 Customer Service and the Telephone 00:08:00 Handling Complaints 00:12:00 Enduring Stress 00:13:00 Business Communication Identifying Basic Communication Techniques FREE 00:09:00 Formal and Informal Communication 00:02:00 Describing Verbal and Non-verbal Communication 00:04:00 Understanding Body Language 00:05:00 Making Effective Presentations 00:10:00 Fundamentals of Productive Meetings 00:08:00 Written Communication 00:13:00 Electronic Communication 00:19:00 Creating Graphics for Business Communication 00:04:00 Communicating Static Information 00:03:00 Communicating Dynamic Information 00:03:00 Effectively Working for Your Boss Representing Your Boss 00:06:00 Communicating Your Boss's Decisions 00:03:00 Supporting Your Boss and Colleagues 00:04:00 Building a Partnership with Your Boss 00:13:00 Identifying Goals FREE 00:10:00 Energy Distribution 00:09:00 Time Logs 00:11:00 Personal World View 00:10:00 Strengths 00:09:00 A Building Your Toolbox 00:10:00 Establishing Your Action Plan 00:11:00 Customer Service What is Customer Service? 00:15:00 Who Are Your Customers? 00:15:00 Six Critical Elements 00:30:00 Understanding Leadership 00:30:00 Five Practices of Leadership 00:45:00 Asking the Right Questions 00:15:00 Close with Vocals 00:15:00 Closing Down the Voice 00:10:00 Cold and Warm Calls 00:15:00 Developing Your Script 00:45:00 Did You Hear Me? 00:15:00 It's More Than Just a Phase 00:15:00 Negotiation Techniques 00:15:00 News from Within 00:15:00 Perfecting the Script 00:15:00 Phone Tag and Getting the Call Back 00:15:00 Sales by Phone 00:10:00 Saying No 00:05:00 Staying Out of Voice Mail Jail 00:05:00 Stress Busting 00:05:00 Taking Messages99 00:05:00 This is My Mentor 00:05:00 To Serve and Delight 00:05:00 Who are Your Customers? 00:15:00 Building the Future 00:15:00 Checklist for Success 00:15:00 Considerations in Tool Selection 00:15:00 Customer Relationship Management 00:10:00 Evaluating and Reviewing Your Program 00:15:00 Homegrown vs. Application Service Provider 00:15:00 Requirement Driven Product Selection 00:15:00 Strategies for Customer Retention 00:15:00 The Development Team 00:15:00 What CRM Is and Who It Serves 00:15:00 Customer Relationship Management Training Customer Relationship Management 00:10:00 What CRM Is and Who It Serves 00:15:00 Checklist for Success 00:15:00 Requirement Driven Product Selection 00:15:00 Considerations in Tool Selection 00:15:00 Strategies for Customer Retention 00:15:00 Building the Future 00:15:00 Homegrown vs. Application Service Provider 00:15:00 The Development Team 00:15:00 Evaluating and Reviewing Your Program 00:15:00 Relationship with Customers Good Customer Relationship - Why is it Important? 01:00:00 Understanding Your Customers 01:00:00 How to Calculate Customer's Lifetime Value 00:30:00 How to Keep Your Customers Happy? 01:00:00 How to Get Your Customers to Say 'Wow!' 01:00:00 Proven Methods of Customer Retention 01:00:00 The Art of Customer Follow-up 01:00:00 Loyalty Marketing Program 00:30:00 Promotional Items to Enhance Customer Relations 01:00:00 Handling Customer's Complaints 01:00:00 How to Deal with Difficult Customers 00:30:00 Introducing the Seven Deadly Sins of Customer Service! 01:00:00 Customer Relationship Management (CRM) Software - The Benefits 01:00:00 Choosing a CRM Program 00:30:00 Customer Service over the Phone 01:00:00 Customer Relations and Dealing Module One - Getting Started 00:30:00 Module Two - The Right Attitude Starts with You 01:00:00 Module Three - Stress Management (Internal Stressors) 01:00:00 Module Four - Stress Management (External Stressors) 00:30:00 Module Five - Transactional Analysis 01:00:00 Module Six - Why are Some Customers Difficult 01:00:00 Module Seven - Dealing with the Customer Over the Phone 01:00:00 Module Eight - Dealing with the Customer In Person 01:00:00 Module Nine - Sensitivity in Dealing with Customers 01:00:00 Module Ten - Scenarios of Dealing with a Difficult Customer 01:00:00 Module Eleven - Following up With a Customer Once You Have Addressed Their Issue 01:00:00 Module Twelve - Wrapping Up 00:30:00 Becoming A Customer Service Professional Module One - Getting Started 00:30:00 Module Two: The Importance of Safety 00:15:00 Module Three - Establishing Your Attitude 01:00:00 Module Four - Identifying and Addressing Customer Needs 01:00:00 Module Five - Generating Return Business 01:00:00 Module Six - In-Person Customer Service 01:00:00 Module Seven - Giving Customer Service over the Phone 01:00:00 Module Eight - Providing Electronic Customer Service 01:00:00 Module Nine - Recovering Difficult Customers 01:00:00 Module Ten - Understanding When to Escalate 01:00:00 Module Eleven - Ten Things You Can Do to WOW Customers Every Time 01:00:00 Module Twelve - Wrapping Up 01:00:00 Mock Exam Mock Exam - Customer Service and Relation Management Diploma 00:20:00 Final Exam Final Exam - Customer Service and Relation Management Diploma 00:20:00 Certificate & Transcript Order Your Certificates and Transcripts 00:00:00

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Data Analysis Welcome 00:02:00 Agenda and Principles of Process Management 00:06:00 The Voice of the Process 00:04:00 Working as One Team for Improvement 00:04:00 Exercise: The Voice of the Customer 00:03:00 Tools for Data Analysis 00:07:00 The Pareto Chart 00:02:00 The Histogram 00:02:00 The Run Chart 00:03:00 Exercise: Presenting Performance Data 00:04:00 Understanding Variation 00:06:00 The Control Chart 00:06:00 Control Chart Example 00:04:00 Control Chart Special Cases 00:06:00 Interpreting the Control Chart 00:09:00 Control Chart Exercise 00:07:00 Strategies to Deal with Variation 00:05:00 Using Data to Drive Improvement 00:13:00 A Structure for Performance Measurement 00:06:00 Data Analysis Exercise 00:05:00 Course Project 00:03:00 Test your Understanding 00:16:00 Assessment Assessment - Data Analysis Diploma 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00