270 Aesthetics courses delivered Online

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 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.

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Brazilian BBL Non-Surgical Buttock Enhancement-basic course What is Non-Surgical BBl? A non-surgical Brazilian Bum Lift is a safe and non-invasive way to lift the sculpt the shape of your bum. Using our specialist equipment, focused heating causes the contraction of the fibres in your bum, resulting in an immediate tightening of your skin in this area. This Lipofirm technology used in our treatments brings increased smoothness and softness to the skin, in addition to the tightening and lifting that will help you to feel so much better about an area you may not be comfortable with. Course content: Health and safety Sterilisation and disinfecting The appearance of the therapist Ergonomics About Brazilian bum lift enhancement Electricity Skin laxity Epidermis & dermis Hypodermis Weight gain Subcutaneous fat White and brown adipocytes Cellulite Mechanical lymphatic drainage Electrical muscle stimulation Skin tightening - radiofrequency Fat reduction - radiofrequency Contra-actions Contra-indications Aftercare Treatment protocol for bum lift - please note, this is a basic bum lift course. If you wish to learn about massage and more advanced techniques you can join our advanced course once you complete the basic one. Training Kit(if purchased) Machine 3x suction cups 150ml, 90ml,80ml Certificate You will receive an end of course certificate which is accredited by the cpd group and allows you to work on public How do Online Courses work? http://www.kbhtrainingacademy.com/online-courses Duration of Course? You will have 3 months to complete the course before it expires Will I require a model? Yes, usually 1 model is required to complete all of the required case studies Are there video tutorials? Yes, you will have links to YouTube and training videos to watch the treatment being performed Do I Need Experience Before Booking a Course? We’re pleased to offer courses to people with lots of different experiences. However, previous experience nor qualifications are not necessary if you would like to enrol on our Course. Do you offer finance? http://www.kbhtrainingacademy.com/finance

Explore offline-first app development with Angular, Ionic, PouchDB, and CouchDB. Sync data effortlessly, design for web and mobile, and deploy with ease for a seamless user experience. Learn data synchronization, advanced features such as RxJS and custom pipes, implement state machines with XState, and build scalable, multi-platform web apps.

Start on a journey to master modern web design. Craft stunning digital experiences with our Diploma in Modern Web Designing Course.

Overview Visual Merchandising Diploma opens doors to the captivating world of retail aesthetics. In an era where online shopping dominates, brick-and-mortar stores are reinventing themselves to offer unique experiences. The UK retail sector, valued at £358 billion in 2020, is constantly evolving, and visual merchandising plays a crucial role in this transformation. Our Visual Merchandising Diploma equips you with the skills to create eye-catching displays, optimize store layouts, and craft immersive brand experiences. From mastering exterior design to understanding the intricacies of in-store aesthetics, this course covers it all. With the rise of experiential retail, the demand for skilled visual merchandisers is soaring. This Visual Merchandising Diploma is your pathway to a creative career where artistry meets commerce. You'll gain the expertise to design window displays for high-street brands or curate in-store experiences for luxury boutiques. Join us and become a key player in the visual revolution reshaping the retail landscape. Your future in Visual Merchandising starts here with our comprehensive Visual Merchandising Diploma. In this Visual Merchandising Diploma course, you will: Sharpen your skills to help you advance your career. Acquire a comprehensive understanding of various related topics and tips from industry experts. Learn in-demand knowledge and skills in high demand among UK employers, which will help to kickstart your career. Enrolling in the Visual Merchandising course can assist you in getting into your desired career faster than you ever imagined. So without further ado, start now! Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Visual Merchandising Diploma course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Visual Merchandising Diploma is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Visual Merchandising Diploma course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Visual Merchandising Diploma Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Visual Merchandising Diploma Module 01: Introduction to Visual Merchandising Module 01: Introduction to Visual Merchandising 00:19:00 Assessment Module 01 Module 01 Final Quiz Exam - Visual Merchandising Diploma 00:10:00 Module 02: Store Layouts Module 02: Store Layouts 00:23:00 Assessment Module 02 Module 02 Final Quiz Exam - Visual Merchandising Diploma 00:10:00 Module 03: Exterior Design Module 03: Exterior Design 00:23:00 Assessment Module 03 Module 03 Final Quiz Exam - Visual Merchandising Diploma 00:10:00 Module 04: In-Store Design Module 04: In-Store Design 00:17:00 Assessment Module 04 Module 04 Final Quiz Exam - Visual Merchandising Diploma 00:10:00 Module 05: Mannequins in Visual Merchandising Module 05: Mannequins in Visual Merchandising 00:23:00 Assessment Module 05 Module 05 Final Quiz Exam - Visual Merchandising Diploma 00:10:00 Module 06: Display Fixtures Module 06: Display Fixtures 00:24:00 Assessment Module 06 Module 06 Final Quiz Exam - Visual Merchandising Diploma 00:10:00 Module 07: The Role of a Visual Merchandiser Module 07: The Role of a Visual Merchandiser 00:18:00 Assessment Module 07 Module 07 Final Quiz Exam - Visual Merchandising Diploma 00:10:00 Module 08: Challenges of Modern Visual Merchandising Module 08: Challenges of Modern Visual Merchandising 00:22:00 Assessment Module 08 Module 08 Final Quiz Exam - Visual Merchandising Diploma 00:10:00 Recommended Readings Recommended Readings - Visual Merchandising Diploma 1 week, 1 day Optional Assignment Optional Assignment - Visual Merchandising Diploma 1 week, 1 day Feedback Learner Feedback 00:00:00

Designing a garden requires a professional garden designer who can provide good design and know how to maintain these aesthetics. This course can assure that you will be skilled in knowing gardening design methods after taking it. If you want to become a professional garden designer or landscape artist then this Level 3 Diploma in Garden Design and Maintenance is perfect for you. You will learn to improve your skills in design and organizing the landscape of your client's garden to reach their high expectations. Course Highlights The price is for the whole course including final exam - no hidden fees Accredited Certificate upon successful completion at an additional cost Efficient exam system with instant results Track progress within own personal learning portal 24/7 customer support via live chat Level 3 Diploma in Garden Design and Maintenance has been given CPD accreditation and is one of the best-selling courses available to students worldwide. This valuable course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then Level 3 Diploma in Garden Design and Maintenance is for you. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the full CPD accredited qualification. And, there are no hidden fees or exam charges. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. Furthermore, you can check the validity of your qualification and verify your certification on our website at anytime. So, why not improve your chances of gaining professional skills and better earning potential. Assessment and Certification At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path Not only does our CPD and CiQ accredited course look good on your CV, setting you apart from the competition, it can be used as a stepping stone to greater things. Further advance your learning, launch a new career or reinvigorate an existing one. On successful completion of this course, you have the potential to achieve an estimated salary of £20,000. The sky really is the limit. Course Curriculum Module 1: Gardening Basics Organic Gardening Basics 00:30:00 Having a Plan 00:30:00 Having the Right Tools 01:00:00 Making your Own Mulch 01:00:00 Natural Pest Control 00:30:00 Organic Fertilizer 01:00:00 Planting 01:00:00 Harvesting 01:00:00 What To Avoid 00:30:00 Benefits of Organic Gardening 01:00:00 Module 2: Organic Gardening Why Garden Organically? 01:00:00 Planning Your Organic Vegetable Garden 00:30:00 Growing Your Organic Vegetable Garden 00:30:00 Why Grow an Organic Herb Garden? 00:30:00 Growing an Organic Herb Garden 00:30:00 You Have Organically Grown Herbs, Now What? 01:00:00 Organic Garden Fertilizers 00:30:00 Organic Gardening Compost 00:30:00 Why Use Organic Pest Control? 01:00:00 How to Control Garden Pests Organically 00:30:00 How to Bring Your Organic Plants Indoors; for Easy Year Round Growth 00:30:00 Organic Container Gardening 01:00:00 Organic Hydroponic Gardening 00:30:00 Module 3: Attracting Butterflies WHY SHOULD YOU ATTRACT BUTTERFLIES? 01:00:00 A BUTTERFLY'S LIFE 01:00:00 PLANNING YOUR BUTTERFLY GARDEN 01:00:00 PLANTS TO ATTRACT BUTTERFLIES 01:00:00 Module 4: Garden Maintenance How to Take Care of your Garden 00:15:00 Beginning Garden Care for the New Homeowner 00:30:00 At Home Remedies for Garden Care 00:30:00 Common Garden Problems And Easy Garden Care Solutions 00:15:00 Dogs Beware: Garden Care for the Dog Friendly Home 00:30:00 Garden Care for all Flower and Vegetable Life 00:30:00 Garden Care for the New Neighbor 00:15:00 Garden Care in All Seasons 00:30:00 What to Look for in Plant Selection 00:15:00 Herb Garden Care: Types, Tricks and Tips for Success 00:30:00 How Not to Care for your Garden: Common Garden Care Mistakes to Avoid 00:15:00 How to Choose and Maintain Annuals 00:30:00 How to Make your Seedlings Grow 00:30:00 How to Make Garden Care a Fun Filled Family Activity 00:15:00 Winter Garden Care 00:30:00 Garden Care for All Corners of Your Yard 00:15:00 Must Have Garden Tools for the Proper Garden Care Year Round 01:00:00 Preparing for a Garden 00:30:00 Proper Care to Garden 00:15:00 So, You Want to Start a Garden? Garden Care 00:30:00 The Best Conditions and Home Remedy Secrets to Rose Garden Care 00:30:00 The Different Kinds of Plant Gardens and How to Care for Each Type 00:15:00 What Type of Garden are you Destined to Have? 00:30:00 Top Nine Garden Care Tips from the Experts 00:15:00 Mock Exam Mock Exam - Level 3 Diploma in Garden Design and Maintenance 00:30:00 Final Exam Final Exam - Level 3 Diploma in Garden Design and Maintenance 00:30:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Fat Freezing Course About The procedure freezes and kills fat cells in the part of your body that you're having treated. Course Content What is Fat Freezing Anatomy and physiology Health & Safety Consultations and Aftercare How to provide Fat Freezing Certificate You will receive an end of course certificate which is accredited by the cpd group and allows you to work on public How do Online Courses work? http://www.kbhtrainingacademy.com/online-courses Duration of Course? You will have 3 months to complete the course before it expires Will I require a model? Yes, you will have to complete 1 case of studies for this course Are there video tutorials? Yes, you will have links to YouTube and training videos to watch the treatment being performed Do I Need Experience Before Booking a Course? We’re pleased to offer courses to people with lots of different experiences. However, previous experience nor qualifications are not necessary if you would like to enrol on our Course. Do you offer finance? http://www.kbhtrainingacademy.com/finance

Choosing the right flooring is a crucial part of any construction project, whether it’s a residential home, commercial building, or industrial facility. The flooring you select impacts not only the aesthetics but also the functionality, durability, and overall cost. This guide will help you navigate through different flooring estimating services options and provide valuable insights to help you make an informed decision. Why Flooring Matters in Construction Flooring is more than just a surface to walk on; it plays a significant role in a building’s design and usability. The type of flooring you choose can affect: Aesthetics: Enhances the overall look and feel of the space. Durability: Ensures the floor can withstand heavy traffic and usage. Maintenance: Influences the ease of cleaning and upkeep. Cost: Impacts the overall budget of the construction project. Popular Flooring Options for Construction There are many types of flooring materials to choose from, each offering unique benefits. Here are some of the most popular options: 1. Hardwood Flooring Hardwood flooring is a timeless choice that adds warmth and value to any space. It is known for its durability and classic appearance, making it popular in residential homes and high-end commercial spaces. Pros: Long-lasting, easy to clean, and enhances property value. Cons: Expensive, can be scratched easily, and may require periodic refinishing. Best for: Living rooms, bedrooms, and office spaces. 2. Laminate Flooring Laminate flooring is an affordable alternative to hardwood. It mimics the appearance of wood or stone while being more resistant to scratches and stains. Pros: Budget-friendly, easy to install, and resistant to wear and tear. Cons: Susceptible to water damage and cannot be refinished. Best for: Living rooms, bedrooms, and hallways. 3. Vinyl Flooring Vinyl flooring is a versatile and durable option that is water-resistant, making it a great choice for areas prone to moisture. It comes in various styles, including sheets, tiles, and planks. Pros: Water-resistant, low maintenance, and comfortable underfoot. Cons: Can fade in direct sunlight and may not be as eco-friendly. Best for: Kitchens, bathrooms, and basements. 4. Tile Flooring Tile flooring is a popular choice for its durability and wide range of design options. It includes materials like ceramic, porcelain, and natural stone, each offering unique benefits. Pros: Highly durable, easy to clean, and water-resistant. Cons: Cold underfoot and can be slippery when wet. Best for: Bathrooms, kitchens, and outdoor spaces. 5. Carpet Flooring Carpet flooring adds comfort and warmth to any space. It is available in various textures, colors, and styles, making it easy to match your design aesthetic. Pros: Soft underfoot, noise-reducing, and provides insulation. Cons: Prone to stains and requires regular vacuuming. Best for: Bedrooms, living rooms, and office spaces. Factors to Consider When Choosing Flooring When selecting flooring for your construction project, must hire a flooring takeoff services company and consider these key factors: Budget: Determine how much you’re willing to spend on flooring materials and installation. Traffic: Choose a material that can withstand the expected foot traffic in the area. Climate: Consider the local climate and moisture levels, as some flooring types are more suitable for humid conditions. Maintenance: Opt for flooring that matches your desired level of upkeep and maintenance. Tips for Installing Flooring in Construction Projects Proper installation is crucial for ensuring the longevity and appearance of your flooring. Here are some tips to help you get it right: Hire Professionals: For complex materials like hardwood and tile, hiring a professional installer ensures a high-quality finish. Prepare the Subfloor: Make sure the subfloor is clean, level, and dry before installation. Use Quality Underlayment: An underlayment adds comfort and soundproofing, especially for laminate and vinyl flooring. Allow Time for Acclimation: Some materials, like hardwood, need time to acclimate to the room’s temperature and humidity before installation. Conclusion Selecting the right flooring is a vital decision in any construction project. By understanding the different options and considering factors like budget, durability, and aesthetics, you can choose a flooring material that not only looks great but also meets the functional needs of your space. Whether you opt for classic hardwood, practical vinyl, or luxurious tile, the right choice will elevate your project and ensure long-lasting satisfaction.