43370 Courses

Receptionist with Agenda Organisation and Time Management Diploma Elevate your Receptionist skills with our comprehensive Receptionist with Agenda Organisation and Time Management Diploma. Master customer service, office administration, and time management as a professional Receptionist. Secure your spot to become an indispensable Receptionist today. Learning Outcomes: Identify the core roles and responsibilities of a Receptionist. Apply customer service techniques specific to a Receptionist role. Manage office administration tasks as a proficient Receptionist. Implement effective scheduling and time management as a Receptionist. Utilise productivity tools to enhance your Receptionist efficiency. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Receptionist with Agenda Organisation and Time Management Diploma: The Role and Responsibilities of a Receptionist: Understand the scope and duties that come with being a Receptionist. Customer Service Skills for a Receptionist: Develop exceptional customer service skills crucial for a Receptionist. Office Administration: Hone administrative skills and learn how to manage the front desk like a seasoned Receptionist. Scheduling and Time Management: Acquire the art of scheduling and time management to excel as a Receptionist. The Psychology of Time Management: Gain a psychological perspective on time management for a more effective Receptionist role. Productivity Techniques And Tools: Learn various productivity techniques and tools to elevate your performance as a Receptionist.

Date: Thursday 25th May Time: 4pm Location: Studio A - Landor Road Event Details: Matt Jones is a British producer and screenwriter who has worked on several television networks across the UK. Beginning his career writing for Doctor Who Magazine in 1995, he got his big break when he became a screen writer for the Channel 4 series Queer as Folk. Matt will share his experience as a television screenwriter and producer, covering: Writing for Television What producers look for How to write a pitch How to pitch in a room Some of the projects Matt has worked on: Skins - producer Shameless - producer Doctor Who - writer The Split - writer This is a free event that all students are welcome to attend (but tickets are limited so be quick!)

Investigate and recognise the role of project sponsor and the importance of the relationship between sponsor and project manager and how this can be improved. Course overview Duration: 1 day (6.5 hours) This workshop is designed to investigate, understand and develop the role of the project sponsor. By taking elements of effective governance from the guidance published by the APM (Association for Project Management) and Axelos Managing Successful Programmes, an improved project sponsor capability can be developed. The workshop will also explore the importance of the relationship between sponsor and project manager and how this can be improved. Whilst predominately designed for the project sponsor role, there is provision for a discussion with project manager representatives to agree an action plan to improve the delivery of projects within an organisation. Objectives  By the end of the course you will be able to: Describe and commit to the role of the Project Sponsor Identify the key principles of governance that can contribute to success Describe the environment in which the projects are delivered Explain the financial and resource constraints within the project environment Define the criteria used for project selection Identify the expectations of key stakeholders and develop a clear communication plan to engage with them Identify and resolve areas of conflict Describe the relationship with the Project Manager Create an effective environment and relationship for project success Content Introduction The Project Environment The Principles of Governance The background to the training Roles The Project Sponsor The Project Manager The Project Board Sponsor responsibilities Defining Project Selection Criteria and Prioritisation Business Case and Justification Finance and Funding Resourcing the projects Stakeholder Engagement Project Governance Resolving conflict between stakeholders Benefits Realisation Capitalising the lessons learned during project reviews Delivering success The relationship with the Project Manager and team Action Plan for the future The workshop will use case studies drawn from previous client projects, both successful and less successful.

This course will explore ways to support and enhance the quality of care provided to the individual approaching end of life, their families and their carers.

Elevate your understanding of the animal kingdom with our comprehensive Animal Science course. Covering genetics, health, breeding, production, and technological advancements in meat and dairy, this course offers a holistic view of modern animal science. Don’t miss the chance to gain valuable insights into animal husbandry, veterinary care, and innovative production systems.

This course is an introduction to Chatta for early years teachers and practitioners. It’s a practical course which includes activities you will teach with your class, full access to Chatta’s award winning software, full support every step of the way and a huge bank of template resources to use straight away. Chatta can become a central, high-impact, simple and transformative aspect of your teaching. This course is designed to make your next steps as a teacher the most empowering, accessible and lasting new direction you’ve known as a teacher/early years practitioner.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 1 Days 6 CPD hours This course is intended for This class is designed for administrators preparing to take the Salesforce Marketing Cloud Administrator exam who are able to configure Marketing Cloud products using industry and product best practices. You should be generally familiar with data structure in subscriber data management. You should also be able to thoroughly navigate Setup, troubleshoot account configuration, and manage user requests. Overview When you complete this course, you will be able to: Recall exam objectives. Discuss product features and functionality covered on the exam. Assess your exam readiness by answering practice questions. Familiarize yourself with additional resources necessary to prepare for the exam. Take the next step in your career and become a Salesforce Certified Marketing Cloud Administrator. In this 1-day, expert-led certification prep class, boost your exam readiness with a detailed exam overview, exam resources, and practice exam questions to test your knowledge. This course includes a voucher to sit for the Salesforce Marketing Cloud Administrator exam. Course Outline Exam Overview Digital Marketing Proficiency Review Governance and Compliance in Relation to Digital Marketing Review Security Best Practices for Date, Permissions, and PII Review Marketing Cloud Product Inventory and Offerings Subscriber Data Management Review the Contact Model Review Data Quality Evaluation Review Preference and Profile Center Setup Review Business Units, Users, and Security Configuration Review Integrations Configuration Review Features in Setup Home Review Marketing Cloud Extension Products Channel Management Review Mobile Studio Configuration Review Email Studio Configuration Review Social Studio and Advertising Configuration Review Journey Builder Concepts and Use Cases Maintenance Review Data Extraction and Report Generation Solutions Review Monitoring and System Availability Review Additional Marketing Cloud Product Benefits Practice Exam and Wrap-up Complete a Practice Exam Review Next Steps

Duration 5 Days 30 CPD hours This course is intended for Network and security architects and consultants who design the enterprise and data center networks and NSX environments Overview By the end of the course, you should be able to meet the following objectives: Describe and apply a design framework Apply a design process for gathering requirements, constraints, assumptions, and risks Design a VMware vSphere virtual data center to support NSX requirements Create a VMware NSX Manager™ cluster design Create a VMware NSX Edge™ cluster design to support traffic and service requirements in NSX Design logical switching and routing Recognize NSX security best practices Design logical network services Design a physical network to support network virtualization in a software-defined data center Create a design to support the NSX infrastructure across multiple sites Describe the factors that drive performance in NSX This five-day course provides comprehensive training on considerations and practices to design a VMware NSX© environment as part of a software-defined data center strategy. This course prepares the student with the skills to lead the design of an NSX environment, including design principles, processes, and frameworks. The student gains a deeper understanding of the NSX architecture and how it can be used to create solutions to address the customer?s business needs. Course Introduction Introduction and course logistics Course objectives NSX Design Concepts Identify design terms Describe framework and project methodology Describe the role of VMware Cloud Foundation? in NSX design Identify customers? requirements, assumptions, constraints, and risks Explain the conceptual design Explain the logical design Explain the physical design NSX Architecture and Components Recognize the main elements in the NSX architecture Describe the NSX management cluster and the management plane Identify the functions and components of management, control, and data planes Describe the NSX Manager sizing options Recognize the justification and implication of NSX Manager cluster design decisions Identify the NSX management cluster design options NSX Edge Design Explain the leading practices for edge design Describe the NSX Edge VM reference designs Describe the bare-metal NSX Edge reference designs Explain the leading practices for edge cluster design Explain the effect of stateful services placement Explain the growth patterns for edge clusters Identify design considerations when using L2 bridging services NSX Logical Switching Design Describe concepts and terminology in logical switching Identify segment and transport zone design considerations Identify virtual switch design considerations Identify uplink profile and transport node profile design considerations Identify Geneve tunneling design considerations Identify BUM replication mode design considerations NSX Logical Routing Design Explain the function and features of logical routing Describe the NSX single-tier and multitier routing architectures Identify guidelines when selecting a routing topology Describe the BGP and OSPF routing protocol configuration options Explain gateway high availability modes of operation and failure detection mechanisms Identify how multitier architectures provide control over stateful service location Identify EVPN requirements and design considerations Identify VRF Lite requirements and considerations Identify the typical NSX scalable architectures NSX Security Design Identify different security features available in NSX Describe the advantages of an NSX Distributed Firewall Describe the use of NSX Gateway Firewall as a perimeter firewall and as an intertenant firewall Determine a security policy methodology Recognize the NSX security best practices NSX Network Services Identify the stateful services available in different edge cluster high availability modes Describe failover detection mechanisms Compare NSX NAT solutions Explain how to select DHCP and DNS services Compare policy-based and route-based IPSec VPN Describe an L2 VPN topology that can be used to interconnect data centers Explain the design considerations for integrating VMware NSX© Advanced Load Balancer? with NSX Physical Infrastructure Design Identify the components of a switch fabric design Assess Layer 2 and Layer 3 switch fabric design implications Review guidelines when designing top-of-rack switches Review options for connecting transport hosts to the switch fabric Describe typical designs for VMware ESXi? compute hypervisors with two pNICs Describe typical designs for ESXi compute hypervisors with four or more pNICs Differentiate dedicated and collapsed cluster approaches to SDDC design NSX Multilocation Design Explain scale considerations in an NSX multisite design Describe the main components of the NSX Federation architecture Describe the stretched networking capability in Federation Describe stretched security use cases in Federation Compare the Federation disaster recovery designs NSX Optimization and DPU-Based Acceleration Describe Geneve Offload Describe the benefits of Receive Side Scaling and Geneve Rx Filters Explain the benefits of SSL Offload Describe the effect of Multi-TEP, MTU size, and NIC speed on throughput Explain the available enhanced datapath modes and use cases List the key performance factors for compute nodes and NSX Edge nodes Describe DPU-Based Acceleration Define the NSX features supported by DPUs Describe the hardware and networking configurations supported with DPUs

Duration 4.875 Days 29.25 CPD hours This course is intended for VMware vSphere: Install, Configure, Manage features intensive hands-on training that focuses on installing, configuring, and managing VMware vSphere. This course prepares you to administer a vSphere infrastructure for an organization of any size and forms the foundation for most otherVMware technologies in the software-defined data center. Overview Describe the software-defined data center (SDDC) Explain the vSphere components and their function in the infrastructure Describe the benefits and capabilities of VMware Skyline Install and configure ESXi hosts Deploy and configure VMware vCenter Server Appliance™ Use VMware vSphere Client™ to manage the vCenter Server inventory and the vCenter Server configuration Manage, monitor, back up, and protect vCenter Server Appliance Create virtual networks with vSphere standard switches Describe the storage technologies supported by vSphere Configure virtual storage using iSCSI and NFS storage Create and manage VMware vSphere VMFS datastores Use the vSphere Client to create virtual machines, templates, clones, and snapshots Create a content library and deploy virtual machines from templates in the library Manage virtual machine resource use Migrate virtual machines with VMware vSphere vMotion and VMware vSphere Storage vMotion Create and manage a vSphere cluster that is enabled with VMware vSphere High Availability and VMware vSphere Distributed Resource Scheduler ™ Discuss solutions for managing the vSphere life cycle Use VMware vSphere Lifecycle Manager™ to perform upgrades to ESXi hosts and virtual machines This is an official VMware IT Academy course with official courseware and labs. Course introduction Introductions and course logistics Course objectives Introduction to vSphere and the Software-Defined Data Center Explain basic virtualization concepts Describe how vSphere fits into the software-defined data center and the cloud infrastructure Explain how vSphere interacts with CPUs, memory, networks, and storage Recognize the user interfaces for accessing the vCenter Server system and ESXi hosts Describe the ESXi host architecture Navigate the Direct Console User Interface (DCUI) to configure an ESXi host Recognize ESXi host user account best practices Install an ESXi host Use VMware Host Client? to configure ESXi host settings Describe how to proactively manage your vSphere environment using VMware Skyline Virtual Machines Create and provision a virtual machine Explain the importance of VMware Tools? Install VMware Tools Identify the files that make up a VM Recognize the components of a VM Recognize virtual devices supported by a VM Describe the benefits and use cases for containers Identify the parts of a container system vCenter Server Describe the vCenter Server architecture Discuss how ESXi hosts communicate with vCenter Server Deploy and configure vCenter Server Appliance Use vSphere Client to manage the vCenter Server inventory Add data center, organizational objects, and hosts to vCenter Server Use roles and permissions to enable users to access objects in the vCenter Server inventory Back up vCenter Server Appliance Monitor vCenter Server tasks, events, and appliance health Use VMware vCenter Server© High Availability to protect a vCenter Server Appliance Configuring and Managing Virtual Networks Create and manage standard switches Describe the virtual switch connection types Configure virtual switch security, traffic-shaping, and load-balancing policies Compare vSphere distributed switches and standard switches Configuring and Managing Virtual Storage Identify storage protocols and storage device types Discuss ESXi hosts using iSCSI, NFS, and Fibre Channel storage Create and manage VMFS and NFS datastores Explain how multipathing works with iSCSI, NFS, and Fibre Channel storage Recognize the components of a VMware vSAN? configuration Virtual Machine Management Use templates and cloning to deploy new virtual machines Modify and manage virtual machines Create a content library and deploy virtual machines from templates in the library Use customization specification files to customize a new virtual machine Perform vSphere vMotion and vSphere Storage vMotion migrations Describe the Enhanced vMotion Compatibility feature Create and manage virtual machine snapshots Examine the features and functions of VMware vSphere© Replication? Describe the benefits of VMware vSphere© Storage APIs ? Data Protection Resource Management and Monitoring Discuss CPU and memory concepts in a virtualized environment Describe what overcommitment of a resource means Describe methods for optimizing CPU and memory usage Use various tools to monitor resource use Create and use alarms to report certain conditions or events vSphere Clusters Describe the functions of a vSphere DRS cluster Create a vSphere DRS cluster Monitor a vSphere cluster configuration Describe options for making a vSphere environment highly available Explain the vSphere HA architecture Configure and manage a vSphere HA cluster Examine the features and functions of VMware vSphere© Fault Tolerance Describe the function of the vSphere© Cluster Service vSphere Lifecycle Management Recognize the importance of vCenter Server Update Planner Describe how VMware vSphere© Lifecycle Manager? works Describe how to update ESXi hosts using baselines Validate ESXi host compliance using a cluster image Describe how to upgrade VMware Tools and VM hardware Describe VMware vSphere© Lifecycle Manager? and VMware vSAN? integration