3386 Exercises courses

Every Saturday at 9:20 – 10:00 or 11:15 – 11:55 Drum kit playing has developed much over the years. At M&L Music School we equip our drummers with the necessary skills to play traditional and/or contemporary drum kit playing, teaching good technique from the beginning. We accommodate both beginners to advanced and we can offer Trinity Guildhall and Rock School grades depending on the level of playing and preferred style of Music. Our classes consist of stick technique, foot technique, coordination, rhythm imitations, tempo exercises, drum kit beats, sight-reading, fills, improvisation, and drum kit pieces. Group drumming classes provide an opportunity for “synchronicity” and create a sense of connectedness. Book first lesson here: https://mandlschoolofperformingarts.com/book-first-lesson/

This course aims to equip you with the skills to create an operational mobile Instagram app feed using React Native and ChatGPT. Additionally, it offers comprehensive resources to develop a well-rounded project that you can showcase as a prototype upon completion. You will use all the latest and trending tools for application development from scratch.

The course is crafted to reflect the in-demand skills in the marketplace that will help you in mastering the key concepts and methodologies of RL and deep RL, along with several practical implementations. This course will help you know the theory and practical aspects of reinforcement and deep reinforcement learning.

This bundle course has been specially designed to equip our learners with a more in-depth understanding of lettings negotiating by providing them with essential functional maths skills required for this role. By combining these related courses, learners will be able to apply their practical knowledge in the real world, to take their professionalism to the next level. Take steps to become a certified lettings negotiator and be equipped with the skills and practical knowledge to advise clients and support landlords in renting their properties with the Lettings negotiator Diploma. This beginners training program is designed to provide an insight into lettings management, exploring the role of a lettings negotiator and lettings agent in detail. You will learn about the different types of agents, how to carry out a property valuation, build a relationship with clients and much more. Possessing excellent maths skills is essential for anyone who wishes to work in the property market. The Functional Maths Training Course is designed to provide aspiring lettings negotiators with the necessary skills to master everyday maths problems related to lettings management. You will learn how to calculate overall profit and loss, develop crucial problem-solving skills and gain confidence in working with decimals, fractions and percentages. This training program includes practical exercises that can be applied in real-world scenarios and is an opportunity to learn valuable transferable skills. Learning Outcomes: Learn the fundamental principles and practices of lettings management Familiarise with the lettings agency agreements guideline Understand the differences between a lettings agent and estate agent Explore the day-to-day role and responsibilities of a lettings agent Develop a solid understanding of the property valuation process Gain advanced knowledge of functional maths and apply your new skills to everyday situations Develop your skills in logical thinking and problem-solving Learn how to work with decimals, percentages, fractions and much more Gain a solid understanding of ratios and proportion through practical exercises Understand how to calculate overall profit and loss Who is This Course for? This bundle course is ideal for aspiring lettings negotiators, or lettings agents who are new to the field and wish to gain the relevant skills and knowledge to take their career to the next level. This course is also ideal for anyone who works in the real estate industry and wishes to develop their skills in everyday maths. Method of Assessment: Upon completion of the course, you will be required to sit for an online multiple-choice quiz based assessment, which will determine whether you have passed the course (60% pass mark). The test will be marked immediately and results will be published instantly. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career Path This bundle course is the ultimate package training certification for those who are interested in a career in property. On successful completion, you will have the opportunity to work in a wide range of related industries, in roles such as: Lettings Negotiator Lettings Agent Manager Estate Agent or Lettings Manager Course Curriculum **Letting Agent** Lettings Management Introduction to Lettings Management 00:20:00 Necessary Documents for Lettings Management 01:30:00 Lettings Agency Agreements Guideline 00:15:00 Types of Agents 00:15:00 Knowing Your Clients 00:30:00 Lettings Management Agent Services 00:20:00 Property Valuation 00:30:00 Property Negotiation 00:30:00 Property Management 00:30:00 Lettings Management Laws 00:30:00 Letting Agent Code of Practice Introduction to Letting Agent Code of Practice 00:20:00 Overarching Standards of Practice 00:30:00 Lettings 00:30:00 Management and Maintenance 00:20:00 Ending the Tenancy and Communications & Resolving Complaints 00:15:00 Arrangements 00:15:00 Being a Lettings Negotiator Home Loans 00:15:00 Knowing When You're Ready To Buy 00:15:00 Is Your Lake Home For Sale? 01:00:00 Legal System & Lettings Management UK An Introduction to the UK legal system 00:15:00 Different Types of Investment Structures 00:15:00 Title & Registration 00:15:00 Finance in Lettings Management 00:15:00 Investment Purchase Procedure 00:15:00 Acquisition Costs 00:15:00 Land Usage 00:15:00 Planning & Environment 00:15:00 Investment Structure & Key Legislations 00:15:00 **Functional Skills (Maths)** Integers ( Directed Numbers) Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 4 Addition and Subtractions of Integers 00:07:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fraction 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51 To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Explore the intricacies of medical gas safety with our comprehensive course, 'Medical Gas Safety 101.' Master safety protocols, handling guidelines, and administration techniques to minimize risks in healthcare settings. Enhance your skills through hands-on simulations and gain the expertise needed to ensure patient safety and regulatory compliance. Join us for a transformative learning experience in the dynamic field of medical gas management

Gain practical skills in influencing and decision-making, perfect for anyone working in team-based or project-focused environments, with interactive, hands-on learning. Course overview Duration: 1 day (6.5 hours) This is a highly interactive and practical course which will help you to use influencing and decision making techniques. This workshop has been specifically designed to give you an opportunity to learn and test a range of influencing and decision making models and techniques. The course is aimed at anyone who interacts with others on a regular basis, especially those in project management disciplines, multi disciplinary, matrix type organisations where healthy debate and challenge are key to achieving optimum resolutions. Objectives By the end of the course you will be able to: Utilise a variety of new techniques to enhance your influencing skills Recognise the impact of non-verbal communication and use it to enhance influencing behaviours Use language skills necessary to get your message across in an influential way Apply different techniques for dealing with aggression Understand VUCA – Volatility, Uncertainty, Complexity & Ambiguous Use Perception, Bias, Decision Making and Judgement Understand personal preferences and approaches to Decision Making Speed read others approach to decision making Apply Mindsets, Skillsets and Toolsets for decision making Content What is influencing? Sources of power Influencing skills Choosing the right approach Developing Skills Communication skills – the language of influence Different influencing techniques and when to use them Having the confidence to challenge Dealing with confrontation and challenges in a confident manner The Decision Lifecycle – Personal Preferences Understand the human facts that influence decision making Understanding personal preferences and approaches to Decision Making Understand the impact of Perception, Bias and judgement in decision making Speed reading others approach to decision making Frameworks to provide context for decision making Understand the business factors that influence decision making - VUCA The Cynefin Framework – decision making in complex situations Understanding which business context, you operate in – simple, complicated, complex or chaotic Understanding how to decide in complexity Practical Practical exercises Case studies Personal action planning

Basic Electrician Course Have you taught to gain the core knowledge and practical abilities of electrical principles and applications? If so, then our on Basic Electrician will be the perfect guide of yours. Fundamental concepts like circuit analysis, voltage, current, resistance, and Ohm's law are taught to Basic Electrician participants. This Basic Electrician course also explains basic electrical components such as resistors, capacitors, and inductors. Moreover, through this Basic Electrician course, you can understand the function and application of Basic Electrician appliances. Safety protocols for working with electricity are emphasised in our Basic Electrician: Basic Electrician course, including proper use of tools and protective equipment. In order to supplement theoretical knowledge and provide students with the skills necessary to diagnose fundamental electrical problems, this Basic Electrician: Basic Electrician course incorporates practical demonstrations and exercises. Special Offers of this Basic Electrician Course This Basic Electrician: Basic Electrician Course includes a FREE PDF Certificate Lifetime access to this Basic Electrician: Basic Electrician Course Instant access to this Basic Electrician: Basic Electrician Course Get FREE Tutor Support to this Basic Electrician: Basic Electrician Course Basic Electrician Course Unlock your potential with our Basic Electrician: Basic Electrician course! Gain core knowledge and practical abilities in electrical principles with Basic Electrician: Basic Electrician training. Learn essential concepts like circuit analysis, voltage, current, resistance, and Ohm's law in our Basic Electrician: Basic Electrician program. Discover how resistors, capacitors, and inductors work, and understand the function of key appliances in Basic Electrician: Basic Electrician. Safety protocols and proper tool usage are emphasized throughout the Basic Electrician: Basic Electrician course. With hands-on exercises, develop the skills to diagnose electrical issues confidently. Enroll now in Basic Electrician: Basic Electrician and power up your career! Who is this course for? Basic Electrician Course Beginners, maintenance workers, apprentices, and anybody interested in learning the fundamentals of electrical systems are the target audience for this basic electricity course. Requirements Basic Electrician Course To enrol in this Basic Electrician Course, students must fulfil the following requirements. To join in our Basic Electrician Course, you must have a strong command of the English language. To successfully complete our Basic Electrician Course, you must be vivacious and self driven. To complete our Basic Electrician Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Basic Electrician Course. Career path Basic Electrician Course Employment in electrical installation, maintenance, and technician professions, as well as entry-level work in allied businesses, can be attained through completion of the basic electricity course.

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 5 Days 30 CPD hours This course is intended for This course is recommended for IT Professionals and Consultants. Overview Identify risks and areas for improvement in a Citrix Virtual Apps and Desktops environment by assessing relevant information in an existing deployment. Determine core Citrix Virtual Apps and Desktops design decisions and align them to business requirements to achieve a practical solution. Design a Citrix Virtual Apps and Desktops disaster recovery plan and understand different disaster recovery considerations. This advanced 5-day training course teaches the design principles for creating a Citrix Virtual Apps and Desktops virtualization solution. In this training, you will also learn how to assess existing environments, explore different scenarios, and make design decisions based on business requirements. This course covers the Citrix Consulting approach to design and covers the key design decisions through lectures, lab exercises, and interactive discussions. You will also learn about additional considerations and advanced configurations for multi-location solutions and disaster recovery planning. This training will help you prepare for the Citrix Certified Expert in Virtualization (CCE-V) exam. Module 1: Methodology & Assessment The Citrix Consulting Methodology Citrix Consulting Methodology Use Business Drivers Prioritize Business Drivers User Segmentation User Segmentation Process App Assessment Introduction App Assessment Analysis Why Perform a Capabilities Assessment? Common Capabilities Assessment Risks Module 2: User Layer Endpoint Considerations Peripherals Considerations Citrix Workspace App Version Considerations Citrix Workspace App Multiple Version Considerations Network Connectivity and the User Experience Bandwidth and Latency Considerations Graphics Mode Design Considerations HDX Transport Protocols Considerations Media Content Redirection Considerations Session Interruption Management Session Reliability Feature Considerations Session Interruption Management Auto-Client Reconnect Feature Considerations Session Interruption Management ICA Keep-Alive Feature Considerations Module 3: Access Layer Access Matrix Access Layer Access Layer Communications Double-Hop Access Layer Considerations Citrix Cloud Access Layer Considerations Use Cases for Multiple Stores Define Access Paths per User Group Define Number of URLs Configuration and Prerequisites for Access Paths Citrix Gateway Scalability Citrix Gateway High Availability StoreFront Server Scalability StoreFront Server High Availability Module 4: Resource Layer - Images Flexcast Models VDA Machine Scalability VDA Machine Sizing with NUMA VDA Machine Sizing VDA Machine Scalability Cloud Considerations Scalability Testing and Monitoring Secure VDA Machines Network Traffic Secure VDA Machines Prevent Breakouts Secure VDA Machines Implement Hardening Secure VDA Machines Anti-Virus Review of Image Methods Citrix Provisioning Overall Benefits and Considerations Citrix Provisioning Target Device Boot Methods Citrix Provisioning Read Cache and Sizing Citrix Provisioning Write Cache Type Citrix Provisioning vDisk Store Location Citrix Provisioning Network Design Citrix Provisioning Scalability Considerations Citrix Machine Creation Services Overall Benefits and Considerations Citrix Machine Creation Services Cloning Types Citrix Machine Creation Services Storage Locations & Sizing Citrix Machine Services Read and Write Cache App Layering Considerations Image Management Methods Module 5: Resource Layer - Applications and Personalization Application Delivery Option Determine the Optimal Deployment Method for an App General Application Concerns Profile Strategy Profile Types Review Citrix Profile Management Design Considerations Citrix Profile Management Scaling Citrix Profile Management Permissions Policies Review Optimize Logon Performance with Policies Printing Considerations Module 6: Control Layer Pod Architecture Introduction Pod Architecture Considerations Citrix Virtual Apps and Desktops Service Design Considerations Implement User Acceptance Testing Load Balancing the Machine Running the VDA Citrix Director Design Considerations Management Console Considerations Change Control Delivery Controller Scalability and High Availability Control Layer Security Configuration Logging Considerations Session Recording Module 7: Hardware/Compute Layer Hypervisor Host Hardware Considerations Separating Workloads Considerations Workload Considerations VMs Per Host and Hosts Per Pool Citrix Hypervisor Scalability VM Considerations in Azure and Amazon Web Services Storage Tier Considerations Storage I/O Considerations Storage Architecture Storage RAID & Disk Type Storage Sizing LUNs Storage Bandwidth Storage in Public Cloud Datacenter Networking Considerations Securing Hypervisor Administrative Access Secure the Physical Datacenter Secure the Virtual Datacenter Module 8: Module 8: High Availability and Multiple Location Environments Redundancy vs. Fault Tolerance vs. High Availability Multi-Location Architecture Considerations Multi-Site Architecture Considerations Global Server Load Balancing Optimal Gateway Routing Zone Preference and Failover StoreFront Resource Aggregation StoreFront Subscription Sync Hybrid Environment Options Citrix Provisioning Across Site Site Database Scalability and High Availability Citrix Provisioning Across Sites Considerations Citrix Machine Creation Across Sites App Layering Across Sites Managing Roaming Profiles and Citrix Workspace App Configurations Across Devices Profile Management Multi-Site Replication Considerations Folder Redirections and Other User Data in a Multi-Location Environment Application Data Considerations Cloud-Based Storage Replication Options Multi-Location Printing Considerations Zone Considerations Active Directory Considerations Module 9: Disaster Recovery Tiers of Disaster Recovery Disaster Recovery Considerations Business Continuity Planning and Testing Citrix Standard of Business Continuity

Understand the needs and benefits arising from a structured project risk management approach, the process and supporting methods for identifying analysing and responding to risks. Course overview Duration: 2 day (13 hours) Our Project Risk Management course addresses risk management throughout the project lifecycle. This course is designed for project staff, including project leaders, sponsors, project team members, support staff and functional staff involved in project activity. The workshop is especially suited to teams working on bids, feasibility and project start up. The workshop covers the need and benefits arising from a structured project risk management approach, the process and supporting methods for identifying analysing and responding to risks, human behavioural factors affecting risk management performance, and organisational interfaces and governance requirements. Objectives  By the end of the course you will be able to: Describe success factors and benefits arising from effective risk management Explain human behaviour factors affecting risk management Establish the project context and conduct an initial risk assessment Define an appropriate strategy and produce a risk management plan Define risk identification strategies and apply appropriate identification methods Identify and record important risk information including ownership Establish risk probability and impact levels; produce probability impact charts and severity time charts Establish exposure levels and contingency requirements Explain the principles of quantitative analysis Define and evaluate response options Implement effective risk management process control Content Principles of risk management Terminology Purpose Success factors Benefits and overall process Human factors that impact on risk management Initiate Analyse and determine context factors relevant to risk management Develop a robust risk management strategy for the life of the project How to conduct an initial risk assessment and define an outline strategy Identification Development of a risk identification strategy Appropriate methods and their strengths and weaknesse Determine an appropriate strategy and identify risks in a given case study Animating text Slide titles Bullet points Applying animation to Slide Master Assessment Methods commonly used for assessing and prioritising risks Evaluating exposure and contingency requirement Demonstration of quantitative methods and exercises to assess risks and contingency levels Planning and implementing responses Appropriate methods for responding to risks Defining implementation and control plans Assigning ownership Defining appropriate plans Conducting net benefits analysis and examining effectiveness Manage process Organisational interfaces and specific requirements to ensure appropriate controls Improvements and compliance with governance requirements