264 Academics courses in Rosyth delivered Online

LOOKING FOR: ADULT FICTION Sarah Williams is a Director of the Sophie Hicks Agency which she joined in 2014 and she has worked as a literary agent for over 10 years. Sarah represents a wide range of adult fiction and non-fiction and as she runs the film and television side of the agency, she is particularly interested in books that have screen potential. She is looking for literary fiction, reading group fiction, memoir and lifestyle/personal development - basically any book that can surprise, change and challenge a reader. Recent favourites are Tides by Sara Freeman, The Paper Palace by Miranda Cowley Heller, Early Morning Riser by Katherine Heiney and In The Dream House by Carmen Maria Machado. Sarah would like you to submit a covering letter, 1 page synopsis and the first 20 - 30 pages of your manuscript in a single word document. (In addition to the paid sessions, Sarah is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Wednesday 23rd July 2025

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

Master Globalization and the Global Economy 🌍💡 Discover the forces driving our interconnected world in this live online course. Explore the interplay of politics and economics through key theories, global trade, finance, and governance. Perfect for aspiring policymakers, business leaders, and global thinkers—enroll today to unlock the skills to navigate the global political economy!

This course offers a dynamic introduction to Globalization and the Global Political Economy (GPE), exploring the intricate relationship between political actors and the global economic marketplace. Through a theoretically rich and historically grounded lens, you’ll examine the development, operations, and future trajectory of the global political economy. You’ll learn to apply diverse theoretical frameworks to critically analyze global economic processes. The course begins with an in-depth look at foundational GPE perspectives—mercantilism, liberalism, and structuralism—each built on distinct assumptions that shape our understanding of global economic events. From there, we’ll investigate the international "structures" of production, trade, finance, and knowledge, addressing critical questions: Who controls these structures, and to what end? What rules govern international trade? How do institutions like the IMF, World Bank, and multinational corporations shape global flows of goods and investment? Who benefits from controlling knowledge? The course culminates with an exploration of 21st-century global governance, highlighting the rise of new economic and political power centers and their evolving roles in the world. The course concludes with an exploration of 21st-century global governance, spotlighting the emergence of new economic and political power centers, such as BRICS, and their evolving roles in the world. We’ll also examine how the United States under Donald Trump shifted from traditional liberal internationalism toward more transactional and bilateral approaches, reshaping global relationships and challenging established norms Learning Outcomes By the end of this course, you will be able to: Analyze the major political themes in the historical evolution of the international economy. Understand debates surrounding the emergence and impacts of a globalized economy, including patterns of inequality. Evaluate key GPE theories and perspectives in both historical and contemporary contexts. Apply theoretical insights to explain the causes and effects of international trade, capital flows, monetary relations, and globalization debates. Recognize the vital role of human and environmental security in political economy studies. Demonstrate strong analytical and critical thinking skills when assessing political phenomena. Why Study Global Political Economy? Global Political Economy (GPE), also known as International Political Economy (IPE), untangles the complex interplay between global politics and economics. It’s an ideal field for anyone eager to understand how international policies, trade, finance, and institutions shape the world’s economic landscape. Whether you’re aiming for a career in policymaking, international relations, or a related field, this course equips you with essential tools to navigate the complexities of the global economic system and its profound influence on our world. Who Should Take This Course? This course is perfect for professionals, academics, and students interested in international relations, the global economy, or related disciplines. Whether your focus is policymaking, economic analysis, or global studies, you’ll gain valuable insights and analytical skills to deepen your understanding. Take the Next Step Don’t miss out—register today to secure your spot and immerse yourself in the fascinating world of globalization and political economy!

The objective of the fast track Level 3 Foundation Diploma for Higher Education Studies is to provide learners with a foundation to provide an entry route to UK and international university courses. It is designed to ensure that each learner is equipped with knowledge of study skills, mathematics, computing, society and culture, business and accounting, providing the knowledge and skills to adapt rapidly to change and progress with their learning. Successful completion of the fast track Level 3 Foundation Diploma for Higher Education Studies provides learners with the opportunity to progress to further study or employment. Key Highlights of Foundation Diploma for Higher Education Studies - Level 3 (Fast track mode) Program Duration: 6 Months (Regular duration of 9 months also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Year 1 of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Who is this course for? Open Entry. No formal qualification is required Career path After completion of this course qualification will meet the University standard academic entry requirements. However, each applicant will be subject to individual assessment and other entry requirements which may affect university entry. University of Sunderland, UK Progress to all Undergraduate courses within the Faculty of Business, Law and Tourism Certificates Certificate of Achievement Digital certificate - Included Othm courses: Once you complete the course, you would be receiving a digital copy of your Diploma along with its Transcript which can be downloaded from the awarding body website without any additional charge. You can also order Hard copy certificate by paying a nominal cost directly to the awarding body.

A comprehensive, simple, visual guide and a super-easy course using SAS with no installation on your computer necessary. This course uses the latest SAS Studio offered through SAS OnDemand and it's completely free. 12+ hours of knowledge-packed lectures, videos, quiz questions, followed by two practical and hands-on guided exercises and projects.

The objective of the OTHM Level 3 Foundation Diploma for Higher Education Studies is to provide learners with a foundation to provide an entry route to UK and international university courses. It is designed to ensure that each learner is equipped with knowledge of study skills, mathematics, computing, society and culture, business and accounting, providing the knowledge and skills to adapt rapidly to change and progress with their learning. Successful completion of the Level 3 Foundation Diploma for Higher Education Studies provides learners with the opportunity to progress to further study or employment. Program Overview Key Highlights Program Duration: 9 Months (Can be fast tracked) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Year 1 of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn The programme ensure that each learner is equipped with knowledge of study skills, mathematics, computing, society and culture, business and accounting, providing the knowledge and skills to adapt rapidly to change and progress with their learning. Who is this course for? Working Professionals, O-Level holders, professionals working in Education and Training Institutions, Human resource consultants

Online Marketing course for individuals, companies, professionals that want to succeed on the job and improve marketing skills.

This is an online course sat at your own pace to introduce you to clinical coaching. During the course we will go into the concept of training a student, learning methods, tutorial techniques, safeguarding and how to use the Central Skills Log (CSL). The course is open for 2 months. Once completed we can then arrange access to the CSL for one of Abbeydale’s students.