176 Academics courses in Ewell delivered On Demand

What Will I Learn? Increase your impact significantly in less than 2 hours Create mood and convey your message better in all your visual communications and presentations. Make more informed decisions about choosing colors to sell your idea, message, or brand. Influence your audience/viewers to take certain actions like support a cause, attend an event, make a donation, or buy your product or service. Use color to deal more effectively with difficult people, (adults AND children.) Gain a psychological edge in a job interview to tilt odds more in your favor. Use color to your advantage at work, in your art, and at home. Recognize how marketers, advertisers, and politicians subtly use color to influence the public's emotions and perceptions. Requirements This is a comprehensive course and no special equipment or knowledge is needed. Description What if you could be more influential, more productive, communicate better, and have more of a say in how people perceive and treat you just by knowing a few easy-to-remember secrets about color, all in just under 75 minutes? Knowing how colors influence ourselves and others is like knowing a secret handshake that will help tilt life more in your favor day after day. This course will show you how with practical tips you can begin using immediately, even before you finish all the lessons. Do you know what color to wear on your first date to make their heart go pitter-pat? What about during that sales pitch at work to generate support and funding for your new project or to stand out in a room full of extroverts? What soothing color will get the office troll off your back at work AND your baby to calm down at home so you can get some sleep? Emotions are what drive people to think and act in certain ways and using colors strategically will help influence the emotions and actions of others. Did you know that 85% of shoppers place color as a primary reason for why they buy a particular product and that color increases brand recognition by 80%? Learn which colors will best help sell your ideas, your message, and your products and services. Use the color techniques in this course when making presentations and in your visual communications to ensure that you are communicating exactly what you want to.Have more power to influence your audience to feel and react the way you intend and get them to take specific actions like support a cause or candidate, attend an event, make a donation, or buy a product or service. This course now includes a bonus MP3 audio file of all eleven color lectures you can download and listen to while on the go. -- What Students Are Saying: 'I am amazed at just how much I learned from this course. The instructor really breaks down how colors influence our daily lives and how we can purposefully incorporate them into our personal and professional lives for positive results. She also shows real examples to help demonstrate her point. I look at so many things differently now. Thank you so much for the wonderful course!' -Christine Maisel - I'm a practicing award-winning multimedia artist and a former tenured Associate Professor of Digital Media and Program Director of Film & Digital Media at The American University of Rome (2006-2016). I'm currently a Visiting Associate Professor of Digital Media at the brand new American University of Myanmar in Yangon, Myanmar (Burma). Since 2000 I've been teaching students all over the world using my tried and true custom approach (turning complex information into something simple, memorable, easy-to-understand in as short amount of time as possible) to ensure that you get the most important, relevant, and useful information that can be applied immediately. New bonus lectures and resources will continue to be added and timely color advice will be provided in the discussion forum. I love to help and always respond to inquiries and discussions ASAP. Please Note: All students who enroll in this course also will receive periodic free and discounted access to my other top-rated current and upcoming courses. You have a 30-day, 100% money-back guarantee with no questions asked so you have nothing to lose. I make myself available so you will have access to me if you have questions or need specific feedback along the way. Empower yourself now by enrolling in this color course and join our growing learning community! Click the 'Take This Course' button in the upper right corner and let's get started maximizing your impact at home and at work today. Who is the target audience? This course is essential for artists, designers, and visual communicators of all kinds who want to make more of an impact with their work. This course is also very useful for business owners, educators, academics, marketers, parents, and people interested in health and well-being who want to have more of an impact at work and at home. This course will also help introverts who are quietly excellent and have something to say but don't always want to have to compete with the loud-mouths in the room in order to make an impact. Welcome to Lifehacking With Color Psychology What Is Color and How Can It Affect You? 00:02:00 Taste the Rainbow: The Warm Colors Red: Warning. -This Lecture Is Not For People With High Blood Pressure! 00:05:00 Orange: Use This Color Trick to Be More Productive At Work 00:03:00 Yellow: Could This Color Be Disturbing the Peace at Home? 00:05:00 Cool Like That: The Cool Colors Green: Your Best Friend On a Busy Tuesday at Work 00:05:00 Blue: This Power Color Can Help Get You the Vote or the Job. 00:06:00 Purple: A Go-To Color For Gurus 00:03:00 The Big Crayon Box: "Special" Colors Brown and Tan: The Best Colors to Help Salvage Your Reputation. 00:06:00 Silver and Gray: For Modern People Only 00:02:00 Black: Learn Why this Color is Best Kept OUT of the Classroom. 00:05:00 Pink: How This Color Will Help Your Sports Team Win Again and Again 00:04:00 Putting It All Together Case Study #1: Influence the Audience's Mood through Color in Film/Animation 00:08:00 Case Study #2: What I Wore to my Last Job Interview 00:07:00 Updates, Extras, and Goodies Thank You For Taking This Course. Please Review! 00:01:00

Do you need a qualification in data protection or are you thinking about learning more about data protection for your organisation? The BCS Practitioner Certificate in Data Protection designed for those with some data protection responsibilities in an organisation and wish to achieve and demonstrate a broad understanding of the law and progresses from what is taught in the BCS Foundation Certificate in Data Protection.

Getting Started OTHM Level 3 Foundation Diploma for Higher Education Studies aims for academic and professional development. It helps the learners acquire knowledge regarding the various courses the university provides. This qualification helps the learner to gain deep knowledge about current opportunities and scope of higher education. This qualification helps the learner to opt for the next level of higher education. The qualifications awarded by OTHM at RQF Level 3 represent practical knowledge, skills, capabilities and competencies that are assessed in academic terms as equivalent to GCE AS/A Levels. Key Benefits   Learners can acquire knowledge regarding the various courses offered by the university. This qualification helps the learner to opt for the next level of higher education. It provides a broad introduction to the subject's learner's choice and helps gain valuable academics. The core modules will allow the learners to understand the wider context of their chosen focus area. Learners who complete a foundation course are generally better placed to enter tertiary study and often do so with credits. Key Highlights Are you desirous to know about the scope and current opportunities to improve your skills and knowledge in higher Studies? Then, the OTHM Level 3 Foundation Diploma for Higher Education Studies is the ideal starting point for your career journey. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM-approved tutors, who would be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 3 Foundation Diploma for Higher Education Studies can open many career pathways including, but not limited to: Administrative Assistant, with an estimated average salary of £20,369 per annum Junior manager with an estimated average salary of £30,007 per annum Human resource coordinator, with an estimated average salary of £25,000per annum Customer service executive with an estimated average salary of £23,684 per annum Management trainees with an estimated average salary of £22,046 per annum   About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. What is included?   Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform. This facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only). Assessment Time-constrained scenario-based assignments No examinations Entry Requirements Learners must be 18 years or more International students whose first language is not in English, they will need to have score of 5.5 or above in IELTS Examination or equivalent. Progression   Learners completing the OTHM Level 3 Foundation Diploma for Higher Education Studies allow progress to : Wide range of undergraduate programmes, including OTHM Level 4 diplomas. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance their knowledge and grow key competencies to tackle situations and work projects more effectively, giving learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is achieved with 13 - 36 credits The diploma is achieved with at least 37 credits. The OTHM Level 3 Foundation Diploma for Higher Education Studies consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 600 Guided Learning Hours (GLH) for the completed qualification. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Academic English and Study Skills Reference No : R/617/3714 Credit : 20 || TQT : 200 The aim of this unit is to help students develop competence in and awareness of academic English and study skills in in preparation for entry to an undergraduate degree programmes. UNIT2- Foundation Mathematics Reference No : Y/617/3715 Credit : 20 || TQT : 200 This unit aims to consolidate learners' knowledge of mathematics and to introduce more topics in the areas of statistical methods and linear algebra. As the business world embraces the use of bigger data in all areas of operation, the mathematical techniques taught in this module will be necessary to aid in the understanding of data, valuable in enhancing future employment prospects. UNIT3- Foundation Computing Reference No : D/617/3716 Credit : 20 || TQT : 200 This unit aims to provide an introduction to computing and the concepts of hardware and its uses. Learners will gain an understanding of data systems and data presentation, key aspects of computer networks and the importance of ethical and legal issues about computing UNIT4- Society and Culture Reference No : H/617/3717 Credit : 20 || TQT : 200 The aim of this unit is to provide students to a variety of contemporary issues related to society and culture, enabling learners to understand social and cultural literacy by developing their knowledge and understanding of societies and cultures UNIT5- Introduction to Business Reference No : K/617/3718 Credit : 20 || TQT : 200 This unit aims to provide learners with knowledge and understanding of how different forms of business ownership operate. It will cover how businesses are run in terms of their form of ownership, the impact of external factors on business success, understanding the different objectives businesses may have, and the key functional areas within a business that enable it to operate effectively. UNIT6- Foundation Accounting and Economics Reference No : M/617/3719 Credit : 20 || TQT : 200 The aim of this unit is to provide learners an introduction to the fundamentals of accounting and economics. Learners will gain an understanding of financial reports through their preparation, based on the double-entry bookkeeping system which is essential for the management of any organization. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Thinking about learning more about Artificial Intelligence? The BCS Foundation Certificate in Artificial Intelligence is the advanced version of our Essentials Course Artificial Intelligence and includes more detail and insights about algebraic equations, vector calculus and schematics used in artificial intelligence and machine learning for you to learn how this new technology works.

Thinking about learning more understanding the role of data within an organisation? As data becomes an important currency in the world and an enabler for the future, it is imperative that all organisations have a firm understanding of the data available to them and the power it can hold. The BCS Foundation Award in Understanding Data in your Organisation teaches the the terminology, principles, concepts and approaches used within data management, and the overall value of data to an organisation.

Duco Digital Training's Practitioner course in BCS Requirements Engineering develops your skills in the understanding and application of elicitation, analysis and management of business analysis requirements.

Duco Digital Training's course in BCS Requirements Engineering Practitioner develops your skills in the understanding and application of elicitation, analysis and management of business analysis requirements.

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

This course is perfect for the beginner but also delves into building a SAS Model and intermediate topics. Learn SAS Data Step, SQL Step, Macros, SAS Model Building, Predictive Analytics, SAS and ML. If you are using SAS Enterprise Guide and want to learn how to code/program instead of using the point-and-click interface, this course is ideal!

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