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This Level 3 anatomy & physiology (or A & P as it is commonly known) is a perfect course for those who are looking to build upon their existing knowledge of skincare, but is also open to complete beginners. Please confirm dates and availability with us prior to purchasing Who Is This Course Suitable For? Pre-requisites None required. Course Content You will cover: Skin, nails and hair The skeletal system The muscular system The nervous system The endocrine system The respiratory system The cardiovascular system The lymphatic system The digestive system You will have 1 Assignment and 1 Exam Course Duration & Cost No date required, please go ahead and BOOK, we will email across all relevant home studying information directly to your email address You have a minimum of 6 weeks to study for the exam and a maximum of one year This course is ALL home studying You will need inform us when you feel you are ready to sit your exam, we can take a look at a few assessment dates for you at our Leicester centre. Remote (Webcam) Exams If you cannot attend our assessment Centre we can arrange for you to take your final assessment remotely via webcam. Dates for remote exams are flexible and can be booked in with our team when you have completed your online coursework. £330 Categories: ofqual

Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

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

The essential course for those starting from zero who want a private lesson guidance. You will leave shooting in manual mode and composing a frame like a pro.

Learn how to work with and connect multiple data sets to effectively analyse and report on data. Course overview Duration: 1 day (6.5 hours) Within Excel you have some powerful features to enable you to connect and analyse multiple data sources. Power Query enables you to import and manipulate your data, Power Pivot enables you to connect multiple data sources and create pivot tables and pivot charts from them. This course is an introduction to Power Query and Power Pivot in Excel to get you started on creating a powerful reporting capability. Knowledge of working with Excel workbooks and relational databases would be an advantage. Objectives By the end of the course you will be able to: Import data from multiple data sources Edit and transform data before importing Add extra columns of data Append data Merge data from other tables Create data models Build data relationships Build Pivot Tables Build Pivot Charts Use Slicers and Timeline Filters Content Importing data Data sources Importing data Transforming data Editing your data Setting data types Removing columns/rows Choosing columns to keep Setting header rows Splitting columns Appending queries Appending data from other tables Adding text Columns from example Custom columns Conditional columns Merge queries Setting up and using merge queries Merging in columns of data Creating a data model The data model Multiple data tables Connecting tables Building relationships Relationship types Building visuals from multiple tables Analysing information using pivot tables Creating and modifying a Pivot Table Recalculating the Pivot Table Filtering the Pivot Table Searching the Pivot Table Drilling down to underlying data Customising field names Changing field formatting Pivot charts, slices and timelines Creating Pivot Charts Adding and using Slicers

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

This qualification is designed for Water Network Field Managers, Operational Managers, Project Managers, Department Heads, and other practising Senior and Middle Managers. The qualification will develop your technical skills and understanding of the Management of demand Management & Leakage and improve your performance. It will encourage strategic thinking at this level of management to foster business improvement. Main themes Understand the role demand management plays in the water industry sustainability plan Understand the range of demand management tools available and their effectiveness Understand the application of leakage strategies, the economic value and the external influences Understand data handling, meaningful leakage calculations and the interpretation of leakage data Understand various leakage control methods used and their respective effectiveness and economic cost-benefit Understand network repair and maintenance methods and the provision of these services Instructions This online course will be delivered using CISCO Webex. You will need a suitable device with a camera and microphone like a laptop. If you have any questions about what is required, please contact us on enquiries@learninganddevelopment.associates. Qualification All learners taking the qualification will need to produce identification to enable ProQual registration. This can take the form of a: Passport Driving Licence Construction Skills Certification Scheme Card (CSCS Card) Construction Plant Competence Scheme Card (CPCS Card) If none of the above are available to the learner, a photograph with a statement confirming their identity, dated and signed, along with a utility bill, would be acceptable.

Digital Wellbeing Training

This 1 hour on-line training seminar provides an opportunity for employers, HR managers, supervisors, and team leaders to learn how domestic abuse can impact on an employee and the business as well as the next steps to support your staff and protect your business.

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