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Enhance your British Sign Language skills with our interactive BSL Level 2 course. Perfect for advancing from basic BSL, this course covers advanced grammar, vocabulary, and effective signing techniques. Led by a 20-year experienced instructor, you'll gain confidence in everyday conversations and emotional signs, preparing you for fluent communication with the deaf community. Enrol now and elevate your BSL proficiency!

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 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 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

Discover the art of furniture restoration and interior decorating with our comprehensive course. Master wood finishing techniques, explore historical furniture periods, and develop skills in room analysis and decor selection. Perfect for aspiring restorers, decorators, and DIY enthusiasts.

Learn all about Microsoft identity and Azure security the right way with tons of lab exercises. A course that aims to prepare students for the prestigious SC-300: Microsoft Identity and Access administrator exam. The course adheres to the new curriculum and objectives.

Overview of Diary Management In today’s busy work life, being good at Diary Management can make a big difference in how well you work. Knowing how to plan your schedule, take clear notes, and manage tasks helps you stay ahead and organised. In the UK, over 4.5 million people work in admin jobs, and Diary Management is one of the most needed skills. Whether you manage your own calendar or help someone else with theirs, these skills help keep work smooth and stress levels low. This Diary Management course will teach you how to organise your time better and get more done during the day. You’ll learn simple and useful methods for taking notes, booking appointments, and using the right tools to plan your tasks. These techniques can help reduce work stress by up to 30% and improve your daily performance. The course also shows how to use digital tools and scheduling software to avoid missing anything important. By the end of this Diary Management course, you will feel more confident in handling schedules and tasks. Diary Management helps you become more reliable, stay on top of your work, and support your team better. These skills are useful in any job and can make you a key part of any business. Start becoming more organised and in control today. This Diary Management course will help you to learn: Understand the basic rules of good Diary Management Learn how to take clear and organised notes Use smart ways to plan your day and manage your time well Set up systems to track and finish your tasks Use note-taking apps that suit different needs Set up Diary Management tools to help you work better and faster Who is this course for? Admin staff who want to get better at handling calendars, meetings, and daily tasks – for themselves or their bosses Personal and executive assistants who need clear systems for managing diaries Office managers who deal with many people’s schedules and want to keep good records Business people who want to manage their time better and get more done Anyone who wants to learn both paper and digital ways to plan notes, tasks, and appointments Process of Evaluation After studying the Diary Management Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Diary Management Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don't need any educational qualification or experience to enrol in the Diary Management course. Career Path This Diary Management Course will lead you to many different career opportunities. Here are a few prospects: Executive Assistant – earn around £25K to £45K a year Personal Assistant – earn around £22K to £38K a year Office Manager – earn around £28K to £42K a year Admin Coordinator – earn around £21K to £32K a year Virtual Assistant – earn around £18K to £35K a year Course Curriculum Module 01: Introduction To Diary Management Introduction to Diary Management 00:35:00 Module 02: Taking And Organising Notes Taking and Organising Notes 00:25:00 Module 03: Scheduling And Time Optimisation Scheduling and Time Optimisation 00:15:00 Module 04: Keeping Track Of Tasks Keeping Track of Tasks 00:20:00 Module 05: Note-Taking Programs Note-Taking Programs 00:30:00 Module 06: Diary Management Programs Essential Diary Management Tools 00:20:00 Module 07: Diary Management Tricks And Optimisation Diary Management Tricks and Optimisation 00:20:00

Green thumbs are optional, but structure is a must. The Gardening and Horticulture Mini Bundle digs into gardening principles, horticultural knowledge, floristry techniques, agriculture basics, and COSHH—without leaving you to water it blindly. From flower arranging to field planning, this bundle teaches plant-focused organisation with a keen eye on environmental detail and safety. Whether you’re designing a garden or pruning a spreadsheet of soil types, it’s structured greenery at its finest. Learning Outcomes: Understand gardening routines for structured plant care and design. Explore horticultural methods used in plant development and study. Study floristry techniques relevant to decorative plant arrangements. Learn agricultural basics with environmental and soil considerations. Apply COSHH awareness in gardening and horticultural settings. Organise plant-based projects with clear, structured knowledge. Who is this Course For: Beginners learning plant care and garden planning techniques. Florists expanding into structured horticultural knowledge areas. Admin staff supporting agricultural or botanical teams. Hobbyists interested in plant structure and organisation. Nursery or garden centre support staff seeking plant insight. Professionals exploring decorative plant arrangement basics. Individuals working in safe plant and chemical environments. Gardeners seeking a structured understanding of their field. Career Path: Horticultural Technician (Entry-Level) – £23,500/year Gardening Assistant – £22,000/year Florist (Junior) – £21,500/year Agricultural Support Worker – £24,000/year Environmental Plant Officer – £26,500/year COSHH Safety Administrator (Horticulture) – £25,000/year

Overview This comprehensive course on Italian Language for Beginners will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Italian Language for Beginners comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Italian Language for Beginners. It is available to all students, of all academic backgrounds. Requirements Our Italian Language for Beginners is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 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 11 sections • 70 lectures • 04:29:00 total length •Introduction: 00:05:00 •Lesson 1a: 00:03:00 •Lesson 1b: 00:04:00 •Lesson 1c: 00:04:00 •Lesson 1d: 00:04:00 •Lesson 2a: 00:03:00 •Lesson 2b: 00:04:00 •Lesson 2c: 00:03:00 •Lesson 2d: 00:03:00 •Lesson 2e: 00:04:00 •Lesson 3a: 00:03:00 •Lesson 3b: 00:03:00 •Lesson 3c: 00:04:00 •Lesson 3d: 00:03:00 •Lesson 3e: 00:05:00 •Lesson 3f: 00:04:00 •Lesson 4a: 00:03:00 •Lesson 4b: 00:03:00 •Lesson 4c: 00:03:00 •Lesson 4d: 00:03:00 •Lesson 4e: 00:03:00 •Lesson 4f: 00:03:00 •Lesson 4g: 00:05:00 •Lesson 5a: 00:03:00 •Lesson 5b: 00:03:00 •Lesson 5c: 00:03:00 •Lesson 5d: 00:03:00 •Lesson 5e: 00:03:00 •Lesson 5f: 00:03:00 •Lesson 5g: 00:03:00 •Lesson 5h: 00:03:00 •Lesson 5i: 00:03:00 •Lesson 5j: 00:03:00 •Lesson 6a: 00:03:00 •Lesson 6b: 00:03:00 •Lesson 6c: 00:03:00 •Lesson 6d: 00:03:00 •Lesson 6e: 00:03:00 •Lesson 6f: 00:03:00 •Lesson 6g: 00:05:00 •Lesson 7a: 00:03:00 •Lesson 7b: 00:03:00 •Lesson 7c: 00:03:00 •Lesson 7d: 00:03:00 •Lesson 7e: 00:03:00 •Lesson 7f: 00:03:00 •Lesson 7g: 00:03:00 •Lesson 7h: 00:04:00 •Lesson 8a: 00:03:00 •Lesson 8b: 00:03:00 •Lesson 8c: 00:03:00 •Lesson 8d: 00:04:00 •Lesson 8e: 00:03:00 •Lesson 8f: 00:03:00 •Lesson 8g: 00:03:00 •Lesson 8h: 00:03:00 •Lesson 8i: 00:04:00 •Lesson 8j: 00:03:00 •Lesson 8k: 00:03:00 •Lesson 8l: 00:03:00 •Lesson 8m: 00:03:00 •Lesson 8n: 00:04:00 •Lesson 9a: 00:03:00 •Lesson 9b: 00:03:00 •Lesson 9c: 00:03:00 •Lesson 9d: 00:03:00 •Lesson 9e: 00:03:00 •Lesson 9f: 00:03:00 •Lesson 9g: 00:04:00 •Resources - Italian Language for Beginners: 00:42:00

The Building Surveying: 8 in 1 Premium Courses Bundle breaks down the theory behind planning, inspecting, and managing structural projects. From understanding AutoCAD to navigating CDM regulations, the bundle gives structure to your learning—without a single brick in sight. You’ll explore the roles of land, building, and quantity surveying, while learning the key components of drawing, estimating, and construction documentation. Whether you're prepping for a role in surveying or simply want to decode the inner workings of a construction site, this one’s designed to keep things built on clarity. Learning Outcomes Learn key responsibilities of a modern building surveyor. Understand project estimation and structured cost calculation methods. Study CDM regulations within UK construction site frameworks. Explore AutoCAD and drawing principles used in planning stages. Examine how quantity and land surveying roles interconnect. Understand Construction Industry Scheme requirements and procedures. Who is this Course For Aspiring surveyors wanting structured online learning and insight. Civil engineering students seeking extra construction knowledge. Professionals shifting toward building cost and planning roles. New entrants to CAD and construction documentation processes. Construction enthusiasts exploring drawing and land estimation. Admin staff needing deeper insight into construction regulations. Site planners reviewing CDM duties and documentation. Project assistants involved in surveying-based reporting and costs. Career Path Building Surveyor – Average salary: £42,000/year Quantity Surveyor – Average salary: £40,000/year Land Surveyor – Average salary: £37,000/year Construction Estimator – Average salary: £38,000/year CDM Coordinator – Average salary: £36,000/year AutoCAD Technician (Surveying) – Average salary: £32,000/year

Whether you’re updating a spreadsheet, writing a formal letter, or creating a PowerPoint worthy of applause, this Microsoft Office Specialist (MOS) bundle has your digital desk drawer sorted. From MS Word to SQL, each module is designed to sharpen your command of the Office suite and its closely linked technologies. You'll learn to glide through Excel formulas, structure Access databases, interpret dashboards with Power BI, and manage projects with confidence in MS Project. It's not about just knowing where the buttons are—it’s about knowing what to do with them. Learning Outcomes: Navigate Microsoft Office tools with confidence and accuracy. Build and analyse data using Excel and Power BI. Create structured databases using MS Access. Write, edit and format documents professionally in Word. Prepare and present slides with clarity in PowerPoint. Organise communication and schedules using Outlook effectively. Who is this Course For: Office workers looking to improve everyday digital workflow. Admin assistants needing structured Microsoft Office training. Professionals handling reports, data, and communications. Beginners aiming to develop foundational Microsoft Office skills. Jobseekers wanting up-to-date tech proficiency. Small business owners managing documents and communication. Team leaders coordinating tasks via Outlook or MS Project. Anyone curious about Power BI and data presentation. Career Path: Administrative Assistant – £21,000–£28,000 per year Data Entry Clerk – £20,000–£25,000 per year Office Manager – £28,000–£40,000 per year Project Administrator – £25,000–£32,000 per year Business Analyst (with Power BI) – £38,000–£52,000 per year IT Support Assistant – £22,000–£30,000 per year

Behind every shelf and stockroom lies an organised process—and someone who understands it. The Retail Management 8-in-1 bundle offers essential training in supply chains, logistics, operations, and that all-important customer service finesse. Whether you're dealing with a spreadsheet or a shopping centre meltdown, it pays to be prepared. You’ll build fluency in retail systems, understand how to manage people and products, and gain the communication skills to handle queries without sighing. Modules cover everything from manual handling to stock data, ensuring you don’t just know what’s on the shelf—but why it’s there. Learning Outcomes: Understand retail and supply chain operations end to end. Communicate effectively in customer-facing situations. Use Excel to organise, calculate, and review store data. Handle product storage and logistics principles confidently. Apply manual handling principles in retail environments. Support day-to-day retail operations with structured tools. Who is this Course For: Store supervisors wanting formal retail training. Retail staff preparing for team leader roles. Warehouse workers learning supply management basics. Customer service reps aiming for progression. Jobseekers entering retail and store operations. Admin staff in retail needing stock control knowledge. Delivery coordinators supporting shop-floor logistics. Business owners managing retail or eCommerce shops. Career Path: Retail Manager – £26,000–£40,000 per year Stock Controller – £22,000–£30,000 per year Customer Service Manager – £28,000–£38,000 per year Warehouse Team Leader – £26,000–£35,000 per year Supply Chain Assistant – £23,000–£30,000 per year Retail Operations Coordinator – £25,000–£32,000 per year