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Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about creative writing Understand the core competencies and principles of creative writing Explore the various areas of creative writing Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert creative writer Certification in Creative Writing Masterclass: Start Writing Your Own Stories Course Master the skills you need to propel your career forward in creative writing. This course will equip you with the essential knowledge and skillset that will make you a confident creative writer and take your career to the next level. This comprehensive creative writing masterclass course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this creative writing masterclass course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective creative writing practice and equip you with the essential skills, confidence and competence to assist you in the creative writing industry. You'll gain a solid understanding of the core competencies required to drive a successful career in creative writing. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for creative writer or for people who are aspiring to specialise in creative writing. Enrol in this creative writing masterclass course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive creative writing masterclass course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this creative writing can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This creative writing masterclass course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This creative writing masterclass course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This creative writing masterclass course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Supplementary Resources Supplementary Resources - Creative Writing Masterclass: Start Writing Your Own Stories 00:00:00 Introduction Welcome to The Creative Writing Course 00:04:00 Exercise 1: Select a Prompt 00:03:00 Why Do We Write Elements of a Great Story & Why Do We Write 00:07:00 Grammar Tips General Grammar Rules & Rule Breakers 00:06:00 Storytelling The Core Elements of a Story 00:01:00 Characters: What Makes a Strong Character 00:03:00 Characters Types: Protagonist, Antagonist and Supporting Characters 00:04:00 Character Analysis: Harry Potter 00:04:00 Conflict: Building Drama in Your Story 00:05:00 Plot: The Beginning, Middle and End of Your Story 00:06:00 Setting: Where Your Story Takes Place 00:03:00 Theme and Point of View 00:05:00 Story Analysis: The Great Gatsby 00:15:00 Exercise 2: Understand Your Why as a Writer 00:02:00 Fiction vs. Nonfiction The Differences & Similarities of Fiction and Nonfiction Stories 00:06:00 Writing Creative Nonfiction Stories 00:10:00 Nonfiction Analysis: Prompt 00:01:00 Nonfiction Story Analysis: Father Time 00:07:00 Exercise 3: Brainstorm Your Story Elements 00:01:00 Find Your Medium What Medium is Right for Your Story 00:04:00 Writing Style What is a Writer's Style 00:06:00 Style Analysis: Ernest Hemingway 00:05:00 General Writing Process A General Overview of the Writing Process from Idea to Publishing 00:09:00 Writing Your Outline Outlining: How & Why We Outline 00:09:00 Writing Your Synopsis 00:02:00 Building Your Story in Your Outline 00:05:00 Exercise 4: Outline Your Story 00:01:00 Writing Your First Draft Tips for Writing Your First Draft 00:05:00 Exercise 5: Write Your First Draft 00:01:00 Editing Your Work Goals and Key Elements of Editing Your Writing 00:02:00 Edit the Aesthetics 00:04:00 Show Don't Tell 00:04:00 Assess the Goals of Your Story 00:02:00 Strengthen When Necessary 00:07:00 Exercise 6: Edit Your First Draft 00:01:00 Publishing: Finding a Home for Your Work Methods for Sharing Your Writing + Getting an Agent 00:07:00 Self Publishing Your Writing 00:03:00 Submitting to Literary Journals and Magazines 00:02:00 More Recommendations for Publishing Your Work 00:02:00 Self Publishing eBooks and Printed Books Can Be Easy 00:02:00 Amazon Kindle Tutorial: Publishing Your eBook and Print-on-Demand Book 00:18:00 Seeing Your Book Sales & Amazon Marketing Best Practices 00:09:00 Conclusion Final Thoughts on Creative Writing 00:04:00 Thank You 00:01:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Unlock the power of modular kitbashing and bring your medieval fantasy world to life with UE5. Learn unique techniques for stylized structures, functional water systems, open-world landscapes, custom prop collections, large-scale structures, and more. Build a stunning environment that blurs the line between reality and imagination using 250 modular assets.

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

Beauty Skincare: Beauty Skincare Training Online Unlock the Power of Beauty Skincare: Beauty Skincare Training Course: Enrol Now! Are you interested in working as a Skin Analyst (Aesthetics Skincare)? With this exclusive Beauty Skincare: Beauty Skincare Training Course, you will learn about Skin Analysis (Aesthetics Skincare) and how to become a Professional Beauty Therapist. This Beauty Skincare: Beauty Skincare Training Course will teach you the Skin Analysis technique (Aesthetics Skincare). Unlock radiant skin with our ultimate Skincare course! Discover essential Skincare tips and techniques to transform your routine. Master the art of effective Skincare and achieve glowing results. Our Skincare course delivers hands-on Skincare strategies for flawless beauty. Elevate your Skincare knowledge today with our expert-led Skincare training! Enrol in this exclusive Beauty Skincare: Beauty Skincare Training Course today and gain the experience, skills, and knowledge you need to advance your professional development. Main Course: Beauty Skincare Course Free courses included with Beauty Skincare: Beauty Skincare Training Course: Along with Beauty Skincare Course you will get free Level 5 Fashion & Beauty Course Along with Beauty Skincare Course you will get free Nail Technician (Manicure, Pedicure, Nail Art) Special Offers of this Beauty Skincare: Beauty Skincare Training Course: This Beauty Skincare: Beauty Skincare Training Course includes a FREE PDF Certificate. Lifetime access to this Beauty Skincare: Beauty Skincare Training Course Instant access to this Beauty Skincare: Beauty Skincare Training Course 24/7 Support Available to this Beauty Skincare: Beauty Skincare Training Course Beauty Skincare: Beauty Skincare Training Online Transform your beauty routine with our comprehensive Skincare course! Dive deep into Skincare secrets and uncover expert Skincare techniques. Our Skincare course covers every Skincare need, from basic to advanced Skincare strategies. Experience personalized Skincare advice and hands-on Skincare training. Master Skincare principles and revolutionize your Skincare regimen. Join now to excel in Skincare and achieve perfect Skincare results. Embrace the ultimate Skincare journey with our Skincare course today! Who is this course for? Beauty Skincare: Beauty Skincare Training Online This Beauty Skincare: Beauty Skincare Training Course is ideal for anyone interested in learning about Beauty Skincare: Skincare Training Course or working in Beauty Skincare-related jobs. Requirements Beauty Skincare: Beauty Skincare Training Online To enrol in this Beauty Skincare: Beauty Skincare Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Beauty Skincare: Beauty Skincare Training Course. Be energetic and self-motivated to complete our Beauty Skincare: Beauty Skincare Training Course. Basic computer Skill is required to complete our Beauty Skincare: Beauty Skincare Training Course. If you want to enrol in our Beauty Skincare: Beauty Skincare Training Course, you must be at least 15 years old. Career path Beauty Skincare: Beauty Skincare Training Online After completing this Beauty Skincare: Beauty Skincare Training Course, you may be able to pursue a variety of promising career opportunities in the Beauty Skincare: Skincare-related sector.

Body Sculpting Combo Course What do we offer? VIP BABE £1200: 3 body Contouring Courses,Cavitation&RF Machine, Wood Therapy Tools, BBL Machine, Accredited Certificate BOSS BABE £450: 3 body Contouring Courses- Cavitation & RF, Wood Therapy, BBL Vacuum Training Course Bandle included in this course Ultrasonic Cavitation and RF Course(body) What is ultrasonic cavitation? Ultrasonic cavitation is a simple procedure that relies on sound waves to flush fat from the body instead of intensive surgery. Course Content What is Cavitation Anatomy and physiology Health & Safety Consultations and Aftercare How to provide ultrasonic cavitation Body and Face RF Training Wood Therapy aka Maderoterapia What is wood therapy? Wood therapy is a technique in which a rigorous and complete massage is performed with the help of various utensils made of wood. Each of these instruments has a specific shape and size since they adapt to different areas of the body to fulfil a function. Benefits: Redaction of cellulite Body contouring Bum Lift Helps to reduce stress and muscle tension Increases blood circulation Lymphatic drainage support Course Content: What is wood therapy History of wood therapy Benefits of wood therapy Contraindications Tools and their usage Anatomy Lymphatic system Health and Safety Consultation Step by step process Aftercare 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 How does the course work? The course is divided into 2 parts, the first part is theoretical which you have to complete before you come for your practical training, and the second one is a practical assignment. The practical assignment is done on the day which will be agreed upon course purchase. You will spend around 3-4 hours practising on a model in our venue in London E106RA. Will I require a model? Yes, usually 1 model is required. You need to supply your own model. 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. Certificate You will receive an end of course certificates which is accredited by the cpd group and allows you to work on public Machine(if purchased) You will have 6 months warranty from the date of purchase on the machine and 3 months on the handles. Please check our terms and conditions for further information. Payment By paying for the course you agree to our Terms and Conditions

RF Microneedling Radiofrequency is currently the best available technology for non-invasive, non-surgical skin tightening and cellulite removal. Radiofrequency treatments are used in aesthetics to deliver intense heat to tissues deeper than the epidermis (the outermost layer of the skin), with the aim to boost collagen production, circulation and (optionally, depending on treatment depth) fat release from those tissues. Course Content: Legislations Contraindications Anatomy and physiology Health and Safety Cellulite Body types Fitzpatric What is microneedling Machines Benefits Client care Pricing Consultation Treatment protocol Aftercare Certificate You will receive an end-of-course certificate which is accredited by the cpd group and allows you to work on public Are there any prerequisites? You should hold A&P Level 3 qualification 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, 1 case of study is required. Please note, you will be required to have a machine to complete the training. Are there video tutorials? Yes, you will have links to YouTube and training videos to watch the treatment being performed.

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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. Career path Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

Creative Writing Masterclass Training Course Overview Are you looking to begin your creative writing career or want to develop more advanced skills in creative writing? Then this creative writing masterclass online training course will set you up with a solid foundation to become a confident creative writer and help you to develop your expertise in creative writing. This creative writing masterclass online training course is accredited by the CPD UK & IPHM. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this creative writing masterclass online training course will set you up with a solid foundation to become a confident creative writer and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a creative writer. The creative writing masterclass online training course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a creative writer. This comprehensive creative writing masterclass online training course is the perfect way to kickstart your career in the field of creative writing. This creative writing masterclass online training course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. If you're interested in working as a creative writer or want to learn more skills on creative writing but unsure of where to start, then this creative writing masterclass online training course will set you up with a solid foundation to become a confident creative writer and develop more advanced skills. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This creative writing masterclass online training course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Who should take this course? This comprehensive creative writing masterclass online training course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of creative writing. Entry Requirement There are no academic entry requirements for this creative writing masterclass online training course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Career path This creative writing masterclass online training course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry. Course Curriculum Introduction Welcome to The Creative Writing Course Exercise 1: Select a Prompt Why Do We Wright Elements of a Great Story & Why Do We Write Grammar Tips General Grammar Rules & Rule Breakers Storytelling The Core Elements of a Story Characters: What Makes a Strong Character Characters Types: Protagonist, Antagonist and Supporting Characters Character Analysis: Harry Potter Conflict: Building Drama in Your Story Plot: The Beginning, Middle and End of Your Story Setting: Where Your Story Takes Place Theme and Point of View Story Analysis: The Great Gatsby Exercise 2: Understand Your Why as a Writer Fiction vs Nonfiction The Differences & Similarities of Fiction and Nonfiction Stories Writing Creative Nonfiction Stories Nonfiction Analysis: Prompt Nonfiction Story Analysis: Father Time Exercise 3: Brainstorm Your Story Elements Find Your Medium What Medium is Right for Your Story Writing Style What is a Writer's Style Style Analysis: Ernest Hemingway General Writing Process A General Overview of The Writing Process From Idea to Publishing Writing Your Outline Outlining: How & Why We Outline Writing Your Synopsis Building Your Story in Your Outline Exercise 4: Outline Your Story Writing Your First Draft Tips for Writing Your First Draft Exercise 5: Write Your First Draft Editing Your Work Goals and Key Elements of Editing Your Writing Edit The Aesthetics Show Don't Tell Assess The Goals of Your Story Strengthen When Necessary Exercise 6: Edit Your First Draft Publishing: Finding a Home for Your Work Methods for Sharing Your Writing + Getting an Agent Self Publishing Your Writing Submitting to Literary Journals and Magazines More Recommendations for Publishing Your Work More Recommendations for Publishing Your Work Self Publishing eBooks and Printed Books Can Be Easy Amazon Kindle Tutorial: Publishing Your eBook and Print-on-Demand Book Seeing Your Book Sales & Amazon Marketing Best Practices Conclusion Final Thoughts on Creative Writing Thank You Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. 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Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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): 00:17:00 •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

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