51110 Courses in Cardiff delivered Online

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

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

Laughter Yoga Leader Training, Certified to Laughter Yoga international. Excellent for physical and mental wellbeing.

What important conversations are your team members avoiding? Side-stepping difficult conversations can trap a team in unresolved problems, strained relationships, and missed chances for growth, which blocks progress and cultivates a lack of trust. But many people avoid difficult conversations or handle them poorly because they’re afraid to address uncomfortable issues and feel unprepared to respond to the emotional reactions that inevitably arise. Navigating Difficult Conversations: Turn Tension Into Progress takes a targeted approach to helping people to manage emotional tension and conduct conversations in a way that enables all parties to stay engaged in collaborative dialogue. Participants will shift their mindset from fearing and avoiding difficult conversations to seeing them as the way to make progress on important issues. And they’ll develop the skills to build trust and respect in every relationship as they navigate sensitive topics. Who Should Attend? This programme is for anyone who finds the thought if having a challenging or difficult conversation, something to be very nervous of, even to the point of avoiding the issue. We recommend that participants have first attended our Aspire programmes, Management Essentials and Performance Coaching, as they provide a strong foundation to the topic, which this session then builds upon. In Navigating Difficult Conversations participants will discover how to balance Courage and Consideration throughout the conversation by: Sharing their Purpose—the issue they need to make progress on—and Positive Intent—how they want the other person to benefit from the conversation Responding to emotional reactions using the skills: Pause, Don’t Panic Observe, Don’t Judge Ask, Don’t Assume Outcomes This module will help participants: Create a strong foundation for difficult conversations by setting a clear and collaborative tone that balances their own and others’ needs. Understand that emotional reactions are a natural, human response—and notice them as a signal that the conversation needs an adjustment to stay on track. Practice a range of tactics to respond in the moment to help everyone stay engaged and make progress.

If you're looking to move to the next level in your career in sales, then understanding how to maximise your sales results, using a consultative and structured approach, will be key to your success. In order to develop the competitive advantage that enables you to stand out from the crowd, it is important to understand the tools and techniques to take your selling to new heights and build the confidence to apply them in work-based scenarios. We have developed this programme to be practical, fun and interactive. Learners will gain a range of practical skills that they can take back and apply to the workplace straight away, that will have a positive impact on sales and customer satisfaction. This course will help participants: Develop a structured and client-focused approach to creating high quality sales opportunities and account growth Learn persuasion and influencing skills to better define needs and develop opportunities Understand how to have better sales conversations, presentations, and proposals - leading to higher order value and increased sales Develop advanced sales questioning skills and techniques; understand the importance of listening Understand how to add value at all stages; plus gaining competitive advantage Develop proven ways to overcome and reduce price pressure Know when to use options and upselling when presenting products and solutions Develop techniques and skills for improved negotiation and closing 1 Advanced Selling - How to Increase your sales results Review of pre-course data and questionnaire The AVC model of increasing your sales results Creating a sales growth plan to achieve higher sales targets Mapping the accounts and products for targeted growth 2 The Four Cs to structure a sales call Research before the meeting or call; setting objectives, planning and preparation How to gain instant rapport and taking control - including online meetings Qualifying and initial questioning skills Creating an agenda and first-meeting structure: Four Cs Planning and practice sessions 3 Building bigger and better sales opportunities How to use questions to 'build' more opportunities Learning and using high-impact and third-level questions Advanced sales questioning techniques: five questioning techniques Qualifying and gaining commitment to the next stage Planning and practice sessions - advanced questioning skills 4 Presentation and persuading skills best practice Compelling benefits and reducing perceived risk - key messages to deliver Helping the customer choose your proposition by using options Professional and effective presentation skills Writing compelling sales proposals that improve your conversion rate Planning and practice session - presenting your solution 5 Overcoming concerns and client questions Proven techniques for answering client objections and concerns How to isolate, prioritise and answer objections, including price Overcoming delay and procrastination Planning and practice session - answering client concerns 6 Gaining commitment and closing the sale Knowing when to close for commitment How to ask for commitment professionally and effectively Key negotiation skills around the closing process - getting to 'yes' Checklist of closing and negotiation skills Practice session

Start Your Happiness Journey with Our Free Bonus Course Today! Join our Happiness Bonus Course and discover scientifically backed practices to cultivate joy, resilience, and well-being. Dive into modules covering neurotransmitters, mindfulness, gratitude, self-compassion, ACT, and more. Create your personalized happiness plan and balance peace, play, and purpose in your life. Don't wait for one day, start today! #HappinessCourse #Mindfulness #WellBeing #SelfCompassion #Resilience #Gratitude #ACT #Joy #MentalHealth #FreeCourse

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. 

Learn how create and structure enterprise projects and programmes. Course overview Duration: 2 days (13 hours) Our P6 Project Planning and Controls Fundamentals course is an intensive two day course aimed at experienced planners and project controllers who need to use Primavera to create and manage detailed plans. It includes creating EPS levels, projects, WBS levels and detailed activity and resource planning. Experience of project planning and scheduling techniques is essential. Objectives  By the end of the course you will be able to: Create a programme structure Create projects and set project properties Create programme milestones Create a Work Breakdown Structure (WBS) Create detailed plans including activities, links and resources Progress the schedule Manage actuals Customise layouts Use the reporting tools in Primavera Content Programme Management Creating EPS elements Defining the programme structure Navigating the EPS structure Finding programmes Project Management and WBS Creating projects Setting project properties Validating projects Assigning project codes Building a work breakdown structure Creating a WBS structure Creating WBS elements Work package management Top Down budgets Allocating top down budgets Budget change Programming milestones and activity planning Creating programme milestones Setting constraints Linking milestones Scheduling Using the schedule function Detailed activity planning Creating activities Relationship types Creating relationships Adding milestones Assigning activity codes Resourcing, workloads and baselining Resource types Creating resources Resource attributes Assigning resources Switching resources Split load resource assignment Reduced hours resource assignment Checking workload Reviewing workload Dealing with resource conflicts Assignments view Baselining Creating baselines Assigning baselines Working with layouts Creating layouts Customising columns Setting filters Sorting and grouping Changing the timescale Customising the Gantt Creating activity code breakdown structures Progressing the schedules Updating task status and remaining duration Setting the data date Monitoring and reporting Exporting and importing information Primavera standard reports Creating custom reports Creating portfolios Printing Printing your schedule Printing to other packages

Ideal for those already using Excel but who really want to get to grips with formulas and functions. Course overview Duration: 1 day (6.5 hours) Our Excel Mastering Formulas and Functions course looks at how to confidently use formulas and functions within Excel. It looks at how to correctly construct formulas and explains how to build common formulas such as working with percentages. It investigates a range of built in Excel functions and shows you how to use the formula auditing tools to help when things go wrong.  This course is aimed at existing users of Excel who want to further their skills. Participants should be able to confidently create and amend worksheets. Objectives By the end of the course you will be able to: Construct Formulas Use a range of common Functions Work with absolute and relative references in formulas Create percentage calculations Use named ranges in formulas Use the XLOOKUP command Create formulas with date and use date functions Use formulas in conditional formatting Use a range of Count functions Use the formula auditing tools Content Formulas vs Functions Constructing formulas Using functions Common Excel functions Using the function wizard vs the formula bar Formulas in tables Absolute vs relative references in formulas Using absolute references in formulas Using partial absolute referencing Range Naming Naming ranges Using range names in formulas Single and multi-cell ranges Working with percentages Creating formulas with percentages Percentage breakdowns Percentage increases Formatting as a percentage Using Lookups Using XLOOKUP to insert information from other spreadsheets Calculating with dates Calculating with dates Using date functions Using formulas in conditional formatting Using conditional formulas Using functions in conditional formatting Count functions COUNT COUNTA COUNTBLANK Formula auditing Using the auditing facility Tracing how formulas are made up Tracing precedents and dependants Evaluating formulas Error checking Showing formulas on a sheet