5313 Courses in Cardiff delivered Live 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

Equality is everyone’s right and everyone’s responsibility’. This training promotes the requirements of the Equality and Diversity Act. This session will strengthen understanding of Equality & Diversity.

Explore the key features of Falls Awareness including common causes of falls in care & work environment including risk assessing for slips, trips and falls and being aware issues arising from medications and illnesses that can increase risk of falls.

This course follows the Institute of Occupational Safety and Health's syllabus. A one-day programme, it is suitable for all people at all levels in the workplace and gives a basic introduction to the principles of environmental management. On successful completion of the course, participants will be able to: Understand the terms 'environment' and 'pollution' Understand the terms 'hazard' and 'risk' related to the environment Better appreciate environmental issues generally, and specifically in respect of their organisation Identify hazards to the environment from working practices Outline the procedures/controls necessary to prevent damage to the environment 1 What is the environment? - putting the environment in context Key environmental issues and how we contribute Definition of the environment 2 Working with the environment What is pollution? Sources, receptors and pathways Environmental consequences workshop - identifying the environmental consequences of our working practices Environmental risk assessment Effective control mechanisms 3 Protecting the environment - Environmental Management Systems What is an Environmental Management System (EMS)? What are the benefits of having an EMS? EMS structure and models Identifying what elements of EMS your company has and how they work Roles and responsibilities 4 Choice of module Option 1: Organisation-specific moduleThis module can be used to introduce environmental concepts that are specific to your activities and operations, and will be compiled through discussion with your organisation Option 2: Environmental best practiceIf no organisation-specific module is required, or if participants from a number of organisations attend, generic operational environmental best practices can be covered instead. Areas covered include waste management, fuel storage and use, hazardous materials, emissions to air and water and environmental incidents

Discover the more complex features of Word for long document creation. Course overview Duration: 1 day (6.5 hours) Our Word Document Production (Part 2) course shows you some of the more advanced features of Word that are key for long document creation. This course will enable you to create longer, more complex documents with ease, including adding cross references, headers and footers and a table of contents. This course is aimed at existing Word users who have attended our Word Document Production (Part 1) course or have equivalent knowledge and who want to extract the most out of the package. Objectives  By the end of the course you will be able to: Create, amend and use templates Use styles for easy formatting Work with section breaks Manage linked headers and footers Insert pictures and objects Add cross references Create a table of contents Use tracked changes Content Creating templates Creating templates Using templates Amending templates Using styles in templates Adding styles to a template Using Heading Styles Managing Styles Applying template style changes directly from a document Copying styles between templates Working with different types of section break Next page section breaks Odd and even section breaks Inserting page numbers, headers and footers Creating custom headers and footers Inserting fields Using Section breaks Dynamic linking between Sections Page numbering in Sections Graphics Inserting pictures Inserting objects from other packages Object text wrapping options Picture options Adding cross references Creating cross references Creating a table of contents Generating a table of contents Setting table of contents styles Updating a table of contents Track changes Setting track changes Accepting and rejecting changes Viewing comments The reviewing pan

Learn the skills and mindset to become a business partner, align your expertise with the organisational goals, drive growth, and shape the future of your company. Course overview Duration: 1 day (6.5 hours) This is a highly interactive and practical course which will help you to understand the role of Business Partnering and the key skills needed to be successful in the role. The course is designed specifically to give you an opportunity to explore the role and test a range of techniques to improve your strategic working as well as your influencing and relationship building skills. This course is aimed at individuals who work cross-functionally and with other people to achieve business results and is particularly helpful for those who engage frequently with senior managers and executives. Objectives  By the end of the course you will be able to: Describe the role of Business Partner and the benefit to the business Develop stronger engagement with all internal and external stakeholders Influence without authority Build positive relationships Handle robust conversations Be forward thinking, not reactive Act as a change agent Communicate with confidence and credibility Content Understanding the role of the Business Partner What is Business Partnering from an individual, departmental and business view Using a psychometric test to look at where your strengths are and how you can use them effectively in the role Developing Relationships Creating a powerful first impression. Communication skills Understanding different communication styles Being more proactive in developing key relationships Stakeholder engagement Presenting ideas in a confident and articulate way Understanding and developing trust Connecting with people Networking Influencing and Negotiating Influencing and persuading others Dealing with conflict and difficult conversations Becoming a trusted advisor/Business Partner Advanced questioning skills and techniques to get to the root of a problem Strategic Thinking Develop the mind-set and strategic capability to play a more proactive leading role in the business

Our course empowers you to handle workplace issues effectively and fairly. Learn best practices, procedures, and communication skills to maintain a harmonious and compliant workplace. Course overview Duration: 1 day (6.5 hours) This course will enable participants to manage disciplinary and grievance issues effectively. The emphasis is on the use of a structured approach where positive action and problem-solving is highlighted as a priority. The course will build knowledge, skill and confidence in handling these areas objectively, fairly and appropriately in line with policies/procedures, best practice and legal requirements. Objectives  By the end of the course you will be able to: Describe the purpose of disciplinary and grievance procedures and how these relate to relevant laws and other procedures Know your role as managers in fairly and consistently applying the procedures at the informal and formal stages Explain the grounds for disciplinary or grievance action and the need to collect, assess and present evidence Describe the structure and roles of disciplinary meetings Explain of the basis for reaching fair and reasonable decisions and possible remedies and penalties Describe the grounds and procedure for appeals Content Disciplinary Procedures Employment Contract – what an employee and employer expect and how to manage when broken. Natural Justice – ensuring ‘fair play’. Misconduct v Capability - what is the difference and which process should be used to manage both. Informal v Formal Action – understanding the processes for both informal and formal disciplinary actions. Suspensions – when, why and how to suspend an employee. Investigations – how to undertake a robust investigation and what to include in the report. Disciplinary Meeting – how to conduct the meeting, the different roles involved. Appeals – understanding how people can appeal and the process to appeal. Grievance Procedures What the law requires – what are the legal requirements for handling a grievance. Informal v Formal Action – understanding the processes for both informal and formal grievance procedures. Conducting the hearing – how to undertake a robust hearing and who should be involved. Appeals - how can people appeal and what is the process.

To explore the factors which affect and influence feacal continence when supporting individuals in order to effectively manage bowel incontinence.

A question of trust. Leadership implies followership. And that means trust. Because who's going to follow a leader they don't trust? This programme takes a values-driven approach to leadership. It gets current and aspiring leaders to hold up the mirror to themselves and to see their reflections as leaders of people. It asks them whether what they see justifies their view of themselves as leaders. It helps them understand just what it takes to be an effective leader. And it does so in a highly practical, constructive manner. It helps the course participants to truly understand the core skills of effective leadership. It focuses on the difference between leadership and management, defining what high performing teams do and how they do it. It helps people to see their teams from different perspectives, allowing them to adapt their styles to maximise team outputs. And it explores concepts such as emotional intelligence, authentic leadership and the RAIV approach (relationships-achievement-independence-vocation) to help explore underlying values and use them to drive effective leadership. Because what worth do our values have unless we put them into practice? The course will help you:• Appreciate the key skills a leader needs to be effective• Understand what the organisation expects of you as a leader• Recognise your leadership style and the impact it has on others• Consider your role models - who inspires you?• See leadership from the 'followers' perspective - how do you like to be led?• Discover what holds you back - limiting beliefs• Examine your core values -do they support your ambition?• Explore the concept of Emotional Intelligence - how do we manage ourselves?• Discover how to lead through change• Explore the concept of 'Authentic Leadership' - consider how it can work for you• Practice some of the skills essential to motivating and influencing for success• Use the RAIV approach to generating enthusiasm and commitment• Plan how best to 'walk the leadership talk' - in your role, in your organisation Above all, this course will help you put theory into practice, values into actions, in a mature, considered, effective way. Day 1 1 Welcome and introduction Participants are welcomed to the programme and invited to share their personal objectives and people challenges Participants given an action plan template to complete throughout the workshop Participants required to bring an inspirational quote to share with the group 2 What is leadership? The concept of 'leadership' The role of a leader Skills assessment for all participants# Leadership v Management Assess your team effectiveness 3 Your leadership style Leadership questionnaire You and your role models Push v Pull styles of leadership Empowerment v Control Team goals and role profiling Day 2 1 You, the leader Your core values Your communication style Situational leadership The Emotional Bank Account Buy Me Today 2 Are you Emotionally Intelligent? (EI) What is emotional intelligence? Self-assessment exercise Manage your emotions Nine strategies for promoting EI 3 Leading through change Identify the major changes affecting you / your team Types of change The roles of resistance How safe are you to talk to? Forcefield Analysis Day 3 1 Authentic Leadership (AL) What is AL? Managing perceptions is managing their truth A leadership challenge 2 Motivating and influencing for success What motivates you? Motivational theory Leading by example Influencing skills required Influencing styles The influence challenge! 3 Creating enthusiasm and commitment The RAIV approach (relationships-achievement-independence-vocation) Building self-worth What drives your team? Your leadership legacy Your commitment to leadership

Look at some of the more advanced planning features available in Project. Course overview Duration: 1 day (6.5 hours) Our Project – Advanced Planning and Control course looks at advanced planning and resourcing techniques in Microsoft Project and how to customise your schedule to give better visibility and flexibility. The course is designed for experienced users of Project who have attended our Project Planning and Control introduction course or have equivalent knowledge. You must be confident using Project to build and resource schedules and create task dependencies. Objectives  By the end of the course you will be able to: Work with different types of task Amend resource load on a task Work with multiple resource rates Create custom tables Add custom fields Create calculated fields Add drop down lists in fields Filter and extract information Create new views Export information Content Advanced planning techniques Splitting tasks Task types Spreading work across activities Advanced resourcing techniques Resource types Assignment views Effective dates Work contours Overtime work Using multiple resource rates Creating custom tables Customising tables Adding fields Creating custom fields Adding text, number, date and time fields Using flag fields Defining pick lists Renaming custom fields Creating calculated fields Creating formulas Using graphical indicators Uploading and tracking progress Completing work Completing work per resource Updating tasks Updating the project Working with the status date Rescheduling work Viewing baseline against schedule Project overview statistics Working with filters Building standard filters Building interactive filters Task and resource filters Using highlight filters Creating custom views Creating customised views Customising text styles Using grouping techniques Exporting information Exporting to Excel