Duration 1 Days 6 CPD hours This course is intended for This course is intended for working professionals in various job roles, both native and non-native English speakers, who use formal and informal written communications in the course of business, and who seek to improve their grammar usage. Overview In this course, you will develop the skills to coach for results. You will: Define coaching and determine how you want to coach. Build a foundation for coaching. Establish a coaching process. Execute a coaching plan. Coach teams and coach remotely. As a leader in your organization, you're expected to help people meet or exceed expectations and to help ensure productivity and profitability for the organization. Coaching is a leadership tool that is effective in improving performance and contributing to the goals of the organization. In this course, you will build a foundation for coaching, establish a coaching process, execute a coaching plan, and explore strategies for coaching in different business scenarios. Many different factors can affect employee performance. When performance problems arise, people need to be supported to get back on track and do their jobs well. Coaching is an effective way of confirming an employee's value while improving performance. Coaching contributes to employee retention because it offers the opportunity to grow, provides motivation, and supports learning. Coaching also enhances the image and effectiveness of managers and supervisors. Defining Yourself as a Coach Define Coaching Determine a Coaching Approach Developing Core Coaching Skills Evaluate Performance Develop Essential Interpersonal Skills Establishing a Coaching Process Initiate the Coaching Relationship Agree on a Coaching Plan Executing the Coaching Plan Coach Adjust the Coaching Plan Verify That Goals Have Been Met Coaching in Different Business Scenarios Coach a Team Coach Remotely
Duration 5 Days 30 CPD hours This course is intended for Network Administrators Network security Administrators Network Security Engineer Network Defense Technicians CND Analyst Security Analyst Security Operator Anyone who involves in network operations Overview A dedicated focus on IoT security Network virtualization practices for the remote workforce Enhanced Cloud Security & IoT and Operational Technology (OT) Modules Introduction to threat intelligence In-depth Attack Surface Analysis Certified Network Defender (CND) is a vendor-neutral, hands-on, instructor-led comprehensive network security certification training program. It is a skills-based, lab intensive program based on the security education framework and work role task analysis presented by the National Infocomm Competency Framework (NICF) as well as a job-task analysis and cybersecurity education framework by the National Initiative of Cybersecurity Education (NICE). The course has also been mapped to global job roles and to the Department of Defense (DoD) job roles for system/network administrators. The program prepares network administrators how to identify what parts of an organization need to be reviewed and tested for security vulnerabilities and how to reduce, prevent, and mitigate risks in the network. CND covers the protect, detect, respond and predict approach to network security. Course Outline Network Attacks and Defense Strategies Administrative Network Security Technical Network Security Network Perimeter Security Endpoint Security-Windows Systems Endpoint Security-Linux Systems Endpoint Security- Mobile Devices Endpoint Security-IoT Devices Administrative Application Security Data Security Enterprise Virtual Network Security Enterprise Cloud Network Security Enterprise Wireless Network Security Network Traffic Monitoring and Analysis Network Logs Monitoring and Analysis Incident Response and Forensic Investigation Business Continuity and Disaster Recovery Risk Anticipation with Risk Management Threat Assessment with Attack Surface Analysis Threat Prediction with Cyber Threat Intelligence
Overview of Data Analyst: Data Analysis in Excel Join our Data Analyst: Data Analysis in Excel course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Analyst: Data Analysis in Excel course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Analyst: Data Analysis in Excel course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This Data Analyst: Data Analysis in Excel Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Analyst: Data Analysis in Excel. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Analyst: Data Analysis in Excel course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Analyst: Data Analysis in Excel is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Analyst: Data Analysis in Excel course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Analyst: Data Analysis in Excel Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00
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This is an essential programme for any member of staff whose role requires a high level of attention to detail. The focus is specifically on the handling of text and data, whether at the input stage or when collating information into reports and documents for use by others. The session looks at both prevention and cure. For 'prevention', it focuses on understanding how common errors occur and on developing an awareness of the factors which influence our level of attentiveness. It introduces key psychological theories around attentiveness including the 'capacity' and 'bottleneck filter' models. And it looks at how working styles can affect attention to detail. For 'cure', the programme looks at how to minimise the effect of stress on concentration as well as introducing a number of tools and techniques for promoting accuracy - at both the input and the checking stages. Particular attention is paid to proof-reading techniques. By the end of the session, participants will: Appreciate why errors occur Understand how stress and other factors can affect focus and accuracy Know how to improve accuracy and reduce errors when handling text and data Be able to proof-read text and number-based documents more accurately 1 The importance of accuracy The impact of mistakes Why accuracy is so important Main reasons why errors occur 2 Attentiveness theory The 'capacity' and 'bottleneck filter' models Selective attention Chunking - big picture / little picture 3 Preparing for accuracy Working styles - how they affect detail-orientation Identifying and minimising the impact of stress on concentration 4 Practical strategies How to improve accuracy and reduce errors when inputting text Managing interruptions and distractions Proofing text and numbers
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