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We develop tailored courses that cater to your organisation's specific workplace wellbeing goals. If you can't find what you're searching for, don't hesitate to contact us. Many of the services and courses we currently offer were developed as solutions to a client's specific requirements. Since 2019,

Unlock the power of data with our comprehensive course on Business and Data Analysis with SQL. Learn essential SQL skills to extract meaningful insights, make data-driven decisions, and drive business success. Whether you're a beginner or looking to enhance your expertise, our course empowers you with the tools and knowledge needed to excel in the dynamic world of data analysis. Enroll now to master SQL for business intelligence and elevate your analytical skills to new heights.

Are you looking to enhance your Livestock Manager and Poultry Farming skills? If yes, then you have come to the right place. Our comprehensive course on Livestock Manager and Poultry Farming will assist you in producing the best possible outcome by mastering the Livestock Manager and Poultry Farming skills. The Livestock Manager and Poultry Farming course is for those who want to be successful. In the Livestock Manager and Poultry Farming course, you will learn the essential knowledge needed to become well versed in Livestock Manager and Poultry Farming. Our Livestock Manager and Poultry Farming course starts with the basics of Livestock Manager and Poultry Farming and gradually progresses towards advanced topics. Therefore, each lesson of this Livestock Manager and Poultry Farming course is intuitive and easy to understand. Why would you choose the Livestock Manager and Poultry Farming course from Compliance Central: Lifetime access to Livestock Manager and Poultry Farming course materials Full tutor support is available from Monday to Friday with the Livestock Manager and Poultry Farming course Learn Livestock Manager and Poultry Farming skills at your own pace from the comfort of your home Gain a complete understanding of Livestock Manager and Poultry Farming course Accessible, informative Livestock Manager and Poultry Farming learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Livestock Manager and Poultry Farming Study Livestock Manager and Poultry Farming in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Livestock Manager and Poultry Farming Course Livestock Manager Curriculum Breakdown of the Livestock Manager Course Introduction to Livestock Management Basics of Animal Husbandry Housing and Infrastructure Nutrition and Feed Management Reproduction and Breeding Health and Disease Management Ethical and Sustainable Livestock Management Business and Marketing in Livestock Management Diploma in Poultry Farming Course Outline: Introduction to Poultry Farming. Poultry Nutrition Diseases Vaccination Layers Broilers Ducks Turkey Incubation Brooding Housing and the Environment Record Keeping, Economics and Marketing Insect and Pest Control Procurement & Purchasing Management Negotiation Techniques Safety and Awareness CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Livestock Manager course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Livestock Manager. It is also great for professionals who are already working in Livestock Manager and want to get promoted at work. Requirements To enrol in this Livestock Manager course, all you need is a basic understanding of the English Language and an internet connection. Career path Livestock Farm Manager: £25,000 to £45,000 per year Agricultural Consultant: £30,000 to £50,000 per year Livestock Nutritionist: £25,000 to £40,000 per year Livestock Sales Representative: £20,000 to £40,000 per year Livestock Geneticist: £30,000 to £50,000 per year Livestock Supply Chain Manager: £35,000 to £60,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

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Register on the Media and Art today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Media and Art is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Media and Art Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Media and Art, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Media Studies Module 01: Introduction to Media Studies Introduction to Media Studies 00:16:00 Module 02: Media Forms and The Influence of Media Media Forms and The Influence of Media 00:20:00 Module 03: Advertising and Communication Advertising and Communication 00:32:00 Module 04: Visual Media, Film and Cultural Studies Visual Media, Film and Cultural Studies 00:20:00 Module 05: Media Audiences and Institutions Media Audiences and Institutions 00:20:00 Module 06: New Media and Globalisation New Media and Globalisation 00:16:00 Section 02: Fine Art Module 07: Introduction to Fine Art Introduction to Fine Art 00:16:00 Module 08: Forms of Fine Art Forms of Fine Art 00:24:00 Module 09: History of Fine Art History of Fine Art 00:44:00 Module 10: Art Movements and Genres Art Movements and Genres 00:36:00 Module 11: Modern and Contemporary Art Modern and Contemporary Art 00:52:00 Module 12: Art Exhibitions and Art Galleries Art Exhibitions and Art Galleries 00:20:00 Module 13: New Media Art New Media Art 00:20:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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

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Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

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Duration 2 Days 12 CPD hours Overview - You will learn advanced Adobe Captivate concepts. - You will learn to create highly interactive software simulation and to control the text that appears in the recording?s text captions by editing Captivates text capture templates. - You will create responsive lessons (using Fluid Boxes and Breakpoints) that automatically reflow to fit just about any kind of display including desktops, laptops, tablets, and smart phones. - Learn new features that Captivate now supports; such as, Virtual Reality with 360-degree images and videos along with interactive videos. - Fine-tune your Captivate production skills by leveraging object styles, master slides, themes, and advanced actions. - Engage your learners by adding variables, widgets, and learner interactions (including drag and drop) to your eLearning. - Learn to create object styles, apply them globally, and import and export them. Knock large projects down to size by learning to create branch groups. - Create branching scenarios that allow learners to plot their own path through your course. - You will also learn to create templates. - Ensure your eLearning can be used by people with disabilities by adding such 508-compliant features as accessibility text, keyboard shortcuts, and closed captions. - Enable Captivates reporting features and, along the way, learn about Learning Management Systems, SCORM, SCOs, Manifests, and content packages. A course that teaches the higher-end, more advanced functionality of Adobe Captivate 2019. 1 - INTERACTIVE SOFTWARE SIMULATIONS AND CAPTION PRE-EDITING Rehearse a Script Set Recording Preferences Record a Simulation Edit a Text Capture Template 2 - OBJECT STYLES, PROJECT SHARING, AND BRANCHING Create a New Style Apply an Object Style Globally Export and Import an Object Style Name a Slide Copy/Paste Project Assets Use Buttons to Create a Branch Explore the Branching View Create a Branch Group 3 - VARIABLES AND WIDGETS Add Project Information Insert a System Variable Edit a System Variable Create a User Variable Use a Variable to Gather Learner Data Insert and Format a Widget 4 - INTERACTIVE VIDEOS AND VIRTUAL REALITY Insert an Interactive Video Add Bookmarks Add Slide Overlays Create a Virtual Reality Project Add a Text Hotspot Add an Audio Hotspot Add a Quiz to a Virtual Reality Project 5 - INTERACTIONS Insert a Process Circle Create a Basic Drag and Drop Interaction Manage Drag and Drop Buttons and Write Captions Create a ?Trick? Retry Slide Explore an Advanced Drag and Drop Project Create an Advanced Drag and Drop Interaction Change the States of a Smart Shape Use States to Swap Images 6 - ACCESSIBLE ELEARNING Set Document Information Enable Accessibility Add Accessibility Text to Slides Import Slide Audio Add Shortcut Keys Add Closed Captions Set a Tab Order 7 - ADVANCED ACTIONS Use a Completed Action Name Objects Create a Mask Control Object Visibility Create a Standard Advanced Action, Attach an Action to a Button Group Timeline Objects Create a Variable Create a Conditional Action Create Decision Blocks 8 - PROJECT TEMPLATES AND MASTER SLIDES Work with the Main Master Slide Work with Content Masters Apply a Master to Filmstrip Slides Edit a Master Apply a Theme Create a Custom Theme Review a Template Create a Project Based on a Template Create a Project Template 9 - RESPONSIVE PROJECTS Customize Breakpoints Save a Standard Project As Responsive Insert and Name Fluid Boxes Resize Fluid Boxes Add Content to Fluid Boxes Switch Modes Use the Position Inspector Modify a Single Breakpoint Exclude from View Add a New Breakpoint Position and Link Objects Edit Breakpoint Object Styles 10 - REPORTING RESULTS Set Quiz Reporting Options Create a Manifest File Report a Button Interaction Adjust Slide Object Interaction Preview in SCORM Cloud Publish a Content Package Create an Inquisiq LMS Account Create an LMS Course Attach a Lesson to a Course Test an eLearning Course Additional course details: Nexus Humans Adobe Captivate 2019 - Beyond The Essentials training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Adobe Captivate 2019 - Beyond The Essentials course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.