3519 Courses

Elevate your skincare knowledge with our comprehensive course on Skincare and Skin Disease Awareness. From understanding skin structure to crafting personalized routines, delve into the science of skincare, tackle common dermatological conditions, and embrace a holistic approach for healthier, radiant skin. Uncover the secrets of effective skincare, combat aging effects, and gain insights into managing eczema, skin infections, and acne-prone skin. Join us on a journey to nurture your skin with evidence-based practices and unlock the key to lasting skin health. Enroll now for a beautiful and informed skincare experience.

Level 4 QLS Endorsed Course | CPD Accredited | Free PDF Certificate | Lifetime Access | Tutor Support

Overview Are you ready to develop your career to the next level? Interested to kickstart a rewarding career as a warehouse manager? This Warehouse course is ideal for ambitious candidates just like you who are looking to reach the very top of their career ladder! You'll learn the functions and objectives of warehousing operations, get to know the different types of warehouses and master the art of effective warehouse management. No need for prior experience or professional background. It's high time to consider a career in warehouse management! How will I get my certificate? At the end of the course there will be a written assignment test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Warehouse. It is available to all students, of all academic backgrounds. Requirements Our Warehouse is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 19 lectures • 07:45:00 total length •Fundamentals of Warehouse Management: 00:30:00 •Warehousing: Function, Benefits and Types of Warehousing: 00:30:00 •Core Functions Of A Warehouse Management System: 00:15:00 •Challenges Of Warehouse Management: 00:30:00 •Technology In The Warehouse: 00:45:00 •Supply Chain Management Concepts: 00:30:00 •Warehouse Management Technologies to Adopt: 00:15:00 •Order Picking in the Warehouse: 00:15:00 •Managing Warehouse Inventory: 00:15:00 •Organize the Storage of Inventory in a Warehouse: 00:15:00 •Inventory Management Techniques: 00:30:00 •Inventory Control Flow of Processing: 01:00:00 •Logistics and Supply Chain In A Warehouse: 00:30:00 •Inventory Classification In The Warehouse: 00:15:00 •The Role Of Human Resource management In A Warehouse: 00:30:00 •Warehouse Safety: 00:30:00 •Warehouse Cost Management: 00:15:00 •Improve Warehouse Efficiency and Reduce Costs: 00:15:00 •Assignment - Warehouse Management Training Level 5: 00:00:00

Excel Intermediate Course, 1-Day. This course covers the essential Excel Intermediate, in our interactive, instructor led Live Virtual Classroom. You already know your way around Excel e.g. you understand some of the functionality on the Home Ribbons, can move around and format cells. etc. In the Excel intermediate course we cover in-depth functions and Formulae so that you will be able to create fantastic spreadsheets like budgets, forecasts, and more. You will be able to understand and unravel the complicated formulae created by your colleagues. During the course you will excellent spreadsheets so that you have examples to take away. Location: Instructor-led, Online. Our Style: Hands-on, Practical Course. Group Size: Max 4 people per group. Qualification: PCWorkshops Excel Intermediate Certification Hours: 1 Day, 10am-5pm Excel Intermediate Course, Course Outline. Working with Functions and Formulas The Function Wizard Using Functions in Excel: The 5 Popular functions If-else function Working with Names and Ranges Copying formulae Creating Formulae in Excel, general calculations. Lookups: Vlookup, Hlookup, Index, Match. Formatting a Range as a Table: Properties and behaviour of a table. Managing Tables: Working with Tables. Working with Tables: Working with Records and Fields. Filters and Sorting, Freeze panes, split, protecting and unprotecting. Using Excel as a Database: Advanced filter: copy only specified rows and columns from a large data set, auto mate this selective copy. Pivot-tables: Create Pivot Table, Refresh Data. Amend, Filter, Sort, Format Pivot Tables, Add additional Pivot formulae. Pivot Charts: Excel Pivot Charts and Sparklines. Examples and exercises with Pivot Charts and Sparklines. Other Excel Courses Inlcuded with the Excel Intermediate Course PCWorkshops Excel Intermediate Certificate on completion Excel Intermediate Notes Excel Code Examples Practical Excel Intermediate exercises Personal attention in a small group of up to 4 delegates Book the Excel Intermediate Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments

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

Ready to make JavaScript less of a mystery and more of a skill you actually understand? This Level 2 Diploma in JavaScript is a refreshing take on learning one of the most widely-used programming languages on the internet. Whether you're aiming to build dynamic websites or improve your coding fluency, this course delivers clarity and confidence without overwhelming you with jargon. It takes you through JavaScript’s essential concepts—like variables, functions, objects, loops, and logic—with a rhythm that’s structured for those who enjoy learning with purpose. Written with a modern developer's mindset in mind (but no flashy nonsense), this course avoids empty filler and gets straight to the core of what you need to know. Whether you're enhancing your knowledge or brushing up on what you forgot last Tuesday, each module builds logically on the last, encouraging solid, repeatable understanding. If JavaScript ever felt like an unsolvable puzzle, this diploma gives you the pieces in the right order—so things actually click. Learning outcomes: Upon completing the JavaScript Basics course, learners will be able to: Understand the fundamentals of JavaScript programming, including data types, variables, and functions. Create basic JavaScript programs to perform simple tasks, such as manipulating HTML elements and responding to user interactions. Develop a strong understanding of JavaScript scope and how to work with objects and arrays. Write more complex JavaScript programs using advanced programming concepts such as loops, conditionals, and events. Implement string manipulation and data validation in their JavaScript code. The JavaScript Basics course is designed to provide learners with a foundational understanding of JavaScript programming. This course is perfect for beginners who are interested in learning the basics of JavaScript, as well as developers who want to refresh their knowledge of the language. The course covers everything from the basics of JavaScript syntax to more advanced programming concepts such as events and loops. Learners will also gain practical experience by working on real-world examples and projects. This course is taught by industry experts who have years of experience in JavaScript development. They will provide learners with a comprehensive understanding of JavaScript programming and how it can be used to create interactive and dynamic web applications. The course is designed to be self-paced, allowing learners to work at their own speed and learn at their own convenience. ⊱⊱Level 2 Diploma in JavaScript Course Curriculum Section 01: JavaScript Introduction Section 02: JavaScript Examples Section 03: JavaScript Data Types Section 04: JavaScript Objects and Functions Section 05: Java Script Scope Section 06: JavaScript Events and String How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Beginners who want to learn the fundamentals of JavaScript programming. Developers who want to refresh their knowledge of JavaScript. Individuals who want to create dynamic and interactive web applications. Students who want to prepare for a career in web development. Professionals who want to expand their skillset and stay competitive in the job market. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Web Developer Front-End Developer Full-Stack Developer JavaScript Developer Software Engineer Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Javascript Asynchronous Basics is a course that will assist you to become a front-end developer with thorough and

Become an expert in Microsoft Excel with our comprehensive online training program. Learn formulas, charts, pivot tables, data analysis, macros, and more. Develop in-demand Excel skills through hands-on exercises and project work. Gain proficiency in this powerful software to advance your career or improve productivity.

In this course, we'll learn how to visualize data with real weather data downloaded from the US National Weather Service using the R programming language and RStudio. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. An Overview of Python Why Python? Python in the Shell Python in Web Notebooks (iPython, Jupyter, Zeppelin) Demo: Python, Notebooks, and Data Science Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences, Arrays, Dictionaries and Sets About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with Dictionaries Working with Sets Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Functions Defining functions Parameters Global and local scope Nested functions Returning values Essential Demos Sorting Exceptions Importing Modules Classes Regular Expressions The standard library Math functions The string module Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Python and Data Science Data Science Essentials Pandas Overview NumPy Overview SciKit Overview MatPlotLib Overview Working with Python in Data Science Additional course details: Nexus Humans Python for Data Science: Hands-on Technical Overview (TTPS4873) 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 Python for Data Science: Hands-on Technical Overview (TTPS4873) 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.