52285 Courses in Liverpool delivered Online

Conflict is a word that conjures up many emotions. It is something that most people would prefer to avoid, if possible. Work can be an emotive place. Positive relationships can make your life at work exciting, motivating and challenging, whilst relationships that do not hold value to you could make your life very difficult and stressful, especially if there is conflict between you and your manager. This course is essential for people who want to understand where conflict can be used to positive effect and how to manage conflict in your working relationships and see it as something positive that can stimulate the environment. Research has shown that relationships at work are an extremely high motivational factor, and for a lot of people it has a higher importance that salary! Therefore, it is essential that we invest in relationships and search out new ways to make them better in order to have a more positive influence on our surroundings. By understanding why other people are in conflict we can manage the conversation a lot better, with outcomes managed more effectively so the 'conflict' will add value to the organisation. This participative event will cover a wide variety of exercises and personal stories, and leave course participants with a clear strategy to identify when they are in conflict with someone and how they will structure their approach to get to a satisfactory outcome. This is a workshop that targets anyone where conflict needs to be managed and cannot seem to resolve it, whether internally or externally. At the end of the day, participants will: Know their key relationships and the strength of those relationships Complete the Strengths Deployment Inventory (SDI) to identify where you deploy your strengths Understand what is important to you and your key stakeholders Know how motivational value systems can influence behaviour Tailor your communication style to match that of your opposite party Know conflict strategies to resolve conflict in others Learn to be more assertive when challenging Achieve key personal, departmental and organisational objectives 1 Where are you now? How effective are your current working relationships? Can I work effectively without the input from others? Who do you need to be a success? 2 The Strengths Deployment Inventory (SDI) Completion of the SDI questionnaire An understanding of the theory A 'trip around the triangle' Predicting relationship interaction Your scores and what they mean in your relationships 3 Conflict theory What is conflict? The 3 flags of conflict What are your conflict triggers? Your conflict scores plotted The conflict sequence 4 Conflict resolution strategies Early warning signs Most productive behaviours Least productive behaviours Preventable / unwarranted conflict Review of the dynamic triangle Review of the day, personal learning and action planning

Discover the powerful schedule and cost risk analysis features of PRA. Course overview Duration: 2 days (13 hours) Our Primavera Risk Analysis course gives a detailed introduction to the schedule and risk analysis features of Primavera Risk Analysis. It shows the powerful features of the tool and give hands on practice throughout the course to ensure you can confidentially put your new skills into practice back in the workplace. This course is designed for new users of Primavera Risk Analysis, and no previous experience is required. You should however be familiar with risk management processes and terminology. Objectives  By the end of the course you will be able to: Import schedules into PRA Add three point estimates onto plans Perform schedule and cost analysis Use templated quick risk Run risk analysis Interpret results from the Risk Histogram and Tornado graph Add task percentiles to a Gantt chart Set up a risk register Add qualitative and quantitative risks Link risk to activities in the plan Create reports Use the Distribution Analyser Content Importing schedules Importing MSP and Primavera Schedules Running import checks Checking schedule integrity Schedule risk analysis 3 point estimating Entering uncertainly Different distributions Using quick risk Updating plan Importing plans with 3 point estimates Cost/Resource uncertainty Resource loadings Creating 3 point cost estimates Resource distributions and escalations Simple cost estimates Templated quick risk Setting up and applying templated quick risk Assessing risk at WBS level Running risk analysis Running risk analysis Interpreting results on the Risk Histogram Setting analysis options Task percentiles Setting task percentile options Including task percentiles on the Gantt chart Tornado graph Creating a Tornado graph Viewing sensitivity Analysing sensitivity against activities Setting up the risk register Setting Schema levels Defining criteria and tolerances Setting up a Risk Breakdown Structure (RBS) Working with manageability and proximity Saving scoring matrices Adding custom fields Exporting data Exporting to Excel, Word and PowerPoint Qualitive risks Setting risk IDs Adding risk cause, description and effect Setting up risk details Entering mitigation actions Quantitative risks Linking risks to activities Adding schedule and cost impacts Defining how multiple risks impact Correlation Migrating your plan Adding mitigation actions to your plan as tasks Linking tasks to mitigation actions Actioning your risk register Progressing risks Importing progressed plans Linking register to progressed plans Risk history The Waterfall chart Saving and reporting Exporting the risk register Running reports Creating new reports Building and comparing risk plans Using the distribution analyser Comparing dates and cost

Calling all aspiring screenwriters and creative minds! Join us for an exciting script pitching workshop led by tutor Gemma Mushington. This taster session is designed to unleash your imagination and guide you through the process of coming up with and pitching an original script idea. Gemma Mushington, a talented screenwriter with a BA in Film, Television, and Digital Production, brings her wealth of industry knowledge and experience to this workshop. She is signed with Casarotto Ramsay and was the proud winner of the Neal Street Productions Screenwriting Bursary in 2021. Gemma's impressive credentials also include writing an episode of CBBC's The Dumping Ground, which aired in May 2023. With her current role as our Module Leader for the Major Feature Film module on the BA Screenwriting course, Gemma is the perfect guide to help you develop your script ideas. During this engaging taster session, Gemma will lead you through an exercise focused on generating and refining your own original script idea. Learn the techniques and strategies used by professional screenwriters to create compelling narratives that captivate audiences. Gain valuable insights into the art of pitching as Gemma shares her expertise on how to effectively communicate your ideas and grab the attention of industry professionals. Whether you are a screenwriting student, a budding storyteller, or simply someone with a passion for creative writing, this workshop is a fantastic opportunity to explore the exciting world of script development. No prior experience is necessary, as Gemma will provide guidance and support throughout the session. Don't miss out on this chance to refine your scriptwriting skills and pitch your ideas with confidence. Reserve your spot now and prepare to unleash your creative potential with the guidance of tutor Gemma Mushington!

Increasing sales is the core of objective for all salespeople and it is vital they are given the tools and techniques to thrive in this highly competitive environment. The landscape within which salespeople operate is ever shifting, and now more than ever it is recognised that the key to successful selling is understanding the customer's needs and working collaboratively with them to achieve their objectives. This highly practical programme has been developed to support salespeople to develop their all-round sales skills using a customer-focused approach. The course will be fun and informal, using practical exercises to help new and experienced salespeople ensure they are equipped to deal with the challenges of selling. This course will help participants: Develop core sales skills such as building rapport, questioning and presenting benefits Identify the roles and goals of key contacts and recognize the importance of consultative selling Understand how to achieve sales by uncovering needs, matching benefits and promoting value Understand how to structure and control a customer interaction and set clear objectives for each account Develop techniques for handling objections, questions and staying positive Master the art of closing a sale and gaining agreement Understand tactical selling and how to build multiple contacts and relationships Develop skill and confidence in selling to both new prospects and existing customers 1 Consultative selling - key principles for success Recognise the importance of consultative selling and being client-focused Build the right processes to achieving sales targets - questions before features Assess your core sales skills; building rapport, asking questions, presenting features and benefits, closing 2 Consultative sales call skills How best to structure and control a customer meeting or call to be client-centric: Four Cs The importance of setting clear objectives for each call and account Setting the agenda and pre-call preparation Planning sessions 3 Your mission, message and meaning - comparative advantage Defining sales messages and USPs; positioning value and quality not price Knowing your target product and services and their value to the customer Understanding your customers buying role and qualifying the opportunity 4 An effective sales meeting - part 1 Opening the sales interview - and building rapport Gaining and retaining the full attention of the customer Probing and identifying real needs using effective sales questions Planning and practice sessions for consultative selling 5 An effective sales meeting - part 2 Matching customer needs and wants to products and services available Presenting your product or service using features, advantages, and benefits Recognising and responding to buying signals and other sales opportunities Planning and practice sessions 6 Closing the sale successfully Anticipating objections and seeing them as positives, including price objections Handling objections using proven methods and models How and when to ask for the sale professionally Follow up and follow-through Planning and practice sessions

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

Are you interested in studying a postgraduate degree with Central Film School? This event is aimed to help you learn more about Central Film School and the postgraduate courses we offer. We’ll also be providing you with some useful tips and guidance for applying to Central Film School. 

Are you interested in studying an undergraduate degree with Central Film School? This event is aimed to help you learn more about Central Film School and the undergraduate courses we offer. We’ll also be providing you with some useful tips and guidance for applying to Central Film School. 

This course looks at the key processes in supply chains and how they interact; the most common supply chain terms and how they are utilised to describe supply chain activities. It will cover the definitions of transport modes and how to select the most appropriate one; the role of logistics partners in the extended supply chain and the definition and use of Incoterms. PARTICIPANTS WILL LEARN HOW TO: Explain the term “Supply Chain” Define main activities in Transport & Freight Management Describe the key principles of Warehousing Interpret INCOTERMS COURSE TOPICS INCLUDE: Freight terminology & global trade terminology Warehouse, logistics and transport operations Transport modes Parties involved in international shipments INCOTERMS Freight calculations

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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