Online Courses and Tutorials

Onlinecourses.tech provides you with the latest online courses information by assisting over 45,000 courses and 1 million students.

Learn programming, marketing, data science and more.

Get started today

Skip to main content

Featured Post

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

International Business Capstone

International Business Capstone

About this course: The Capstone project is the culmination of the International Business Essentials specialisation, and brings together knowledge gained in the previous courses and applies this to a real-world scenario. Throughout the Capstone, you’ll be taught new skills, and will use the knowledge you have gained throughout the Specialisation to develop a business plan. This course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study. If completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants.

Created by:  University of London

  • Barry McCarthy
    Taught by:  Barry McCarthy, Senior Teaching Fellow
    School of Management, UCL
Basic Info
Commitment5 weeks of study, 5 hours per week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 5.0See what learners said
Syllabus
WEEK 1
The Business Plan
This week will focus on the business plan itself, including its formulation, implementation, and control. 
15 videos3 readings1 practice quiz
  1. Video: 1.1 Introduction
  2. Reading: Useful Links and References
  3. Reading: Glossary of Terms
  4. Reading: The Business Plan Template
  5. Video: The Business Plan | Introduction
  6. Video: 1.2 Layout of Plan
  7. Video: 1.3 Products and Services
  8. Video: 1.4 The Marketing Plan
  9. Video: 1.5 Products Review
  10. Video: 1.6 Customers Review
  11. Video: 1.7 Competitor Analysis
  12. Video: 1.8 Marketing Strategies
  13. Video: 1.9 Pricing
  14. Video: 1.10 Operational Plan
  15. Video: 1.11 Management and Organisation
  16. Video: 1.12 Financial Plan
  17. Video: 1.13 Appendices
  18. Video: 1.14 Refining The Plan
  19. Practice Quiz: Reflective quiz
Graded: Week One Quiz
Graded: The Business Plan | Part One
WEEK 2
Development of the Financial Statements for Business Planning
This week will include concepts such as the income statement, the balance sheet, and the cash flow statement. 
15 videos4 readings
  1. Video: Welcome to Week Two
  2. Video: 2.1 Pricing part one
  3. Video: 2.2 Pricing part two
  4. Video: 2.3 Sales forecast 1
  5. Video: 2.4 Cash forecast 1
  6. Video: 2.5 Forecast examples 1 (Ian Speedy)
  7. Video: 2.6 The business cycle
  8. Video: 2.7 Accounting Concepts 1
  9. Video: 2.8 Accounting concepts 2- Depreciation
  10. Video: 2.9 Example- Genius Ltd
  11. Video: 2.10 Example Genius Ltd Cash flow
  12. Video: 2.11 Income Statement
  13. Video: 2.12 Income Statement Solution
  14. Video: 2.13 Balance Sheet
  15. Video: 2.14 Balance Sheet Solution
  16. Reading: Sample Business Finance Scenario
  17. Reading: Sample Business Finance Scenario- Example Answer
  18. Reading: Sample Business Finance Scenario Two
  19. Reading: Sample Business Scenario Two- Answers
Graded: Case Study |Papy Ltd
WEEK 3
Internal Information for Business Planning
This week will investigate the internal information needed for business planning, including costs, break-even analysis, and pricing.  
6 videos
  1. Video: Welcome to Week Three
  2. Video: 3.1- Classification of Costs
  3. Video: 3.2- Cost-Volume-Profit
  4. Video: 3.3- Breakeven Analysis | The Equation Method
  5. Video: 3.4- Breakeven Analysis | The Contribution Margin Method
  6. Video: 3.5- Further Aspects of Pricing
Graded: Business Plan | Part Two
WEEK 4
Having A Customer Focus
This week will look at the importance of having a customer focus, such as identifying the customer, consumer behaviour, and market segmentation. 
12 videos
  1. Video: 4.1- Identifying the Customer
  2. Video: 4.2- Factors Affecting Buyers' Behaviour
  3. Video: 4.3- Market Segmentation and Target Market
  4. Video: 4.4- Methods of Market Segmentation
  5. Video: 4.5- Marketing Aspects and Positioning
  6. Video: 4.6- The Marketing Mix | Seven Ps
  7. Video: 4.7- Marketing Mix | The Four Cs
  8. Video: 4.8- Product Portfolio Analysis, Product Lifecycle, and Boston Box Analysis
  9. Discussion Prompt: Boston Box- War Horses and Dodos
  10. Video: 4.9- Strategic Selection
  11. Video: 4.10- Prioritising Criteria
  12. Video: 4.11- Initial Selection of the "Best" Option
  13. Video: Week Four Summary
Graded: The Business Plan | Part Three
WEEK 5
Organisational Structure
Week five will cover managing performance, including ratios, variance analysis, and non-financial factors. 
5 videos
  1. Video: Welcome to Week Five!
  2. Video: 5.1- Choosing A Structure
  3. Video: 5.2- Types of Organisation
  4. Video: 5.3- Global Considerations
  5. Video: Closing Remarks
Graded: The Business Plan | Final Assessment
How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
University of London
The University of London is a federal University which includes 17 world leading Colleges. Our International Programmes were founded in 1858 and have enriched the lives of thousands of students, delivering high quality University of London degrees wherever our students are across the globe. Our alumni include 7 Nobel Prize winners. Today, we are a global leader in distance and flexible study, offering degree programmes to over 50,000 students in over 180 countries. To find out more about studying for one of our degrees where you are, search for 'London International'.
Learn more about this course

Comments

Popular posts from this blog

Hands-on Text Mining and Analytics by Yonsei University

About this course: This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.



LevelIntermediateLanguage English, Subtitles: Chinese (Simplified) How To PassPass all graded assignments to complete the course.
Syllabus

Big Data Hadoop Certification Training

Big Data Hadoop training will make you an expert in HDFS, MapReduce, Hbase, Hive, Pig, Yarn, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain. You will get Hadoop certification at the end of the course

About the Training
This Hadoop training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. This course is stepping stone to your Big Data journey and you will get the opportunity to work on a Big data Analytics project after selecting a data-set of your choice. You will get Hadoop certification after the project completion.

Training Objectives
The hadoop training is designed to help you become a top Hadoop developer. During this course, our expert instructors will train you to: Master the concepts of HDFS and MapReduce frameworkUnderstand Hadoop 2.x ArchitectureSetup Hadoop Cluster and write Co…

Learn to Program and Analyze Data with Python

About This Specialization This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. Created by: 5 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or LinkedIn. Courses

An Introduction to Interactive Programming in Python (Part 1)

About this course: This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
Who is this class for: Recommended Background - A knowledge o…

Front-End JavaScript Frameworks: Angular

About this course: This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 4.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication and the use of REST API on the server side. You will use Restangular for communicating with a server sup…

Launch Your Career in Data Science

A nine-course introduction to data science, developed and taught by leading professors.
About This Specialization Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Created by: Industry Partners: 10 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn.

Программирование на Python

About this course: Python – простой, гибкий и невероятно популярный язык, который используется практически во всех областях современной разработки. С его помощью можно создавать веб-приложения, писать игры, заниматься анализом данных, автоматизировать задачи системного администрирования и многое другое. “Программирование на Python” читают разработчики, применяющие Python в проектах, которыми ежедневно пользуются миллионы людей. Курс покрывает все необходимые для ежедневной работы программиста темы, а также рассказывает про многие особенности языка, которые часто опускают при его изучении. В ходе курса вы изучите конструкции языка, типы и структуры данных, функции, научитесь применять объектно-ориентированное и функциональное программирование, узнаете про особенности реализации Python, научитесь писать асинхронный и многопоточный код. Помимо теории вас ждут практические задания, которые помогут проверить полученные знания и отточить навыки программирования на Python. После успешного о…

Master of Computer Science in Data Science

A flexible and affordable degree from one of the top Computer Science programs in the world, focused on one of the hottest fields of the new millennium

Enroll in the Master of Computer Science in Data Science (MCS-DS) and gain access to the computational and statistical knowledge needed to turn big data into meaningful insights. Build expertise in four core areas of computer science—data visualization, machine learning, data mining, and cloud computing—while learning key skills in statistics and information science. This completely online degree is an affordable gateway to one of the most lucrative and fastest growing careers of the new millennium. The MCS-DS is offered by CS @ ILLINOIS, a U.S. News & World Report top five CS graduate program, in collaboration with the University’s Statistics Department and top-ranked iSchool. Join our alumni network of entrepreneurs, educators, and technical visionaries, who have revolutionized the way people communicate, shop, conduct business,…

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

Introduction to Data Science in Python

About this course: This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it,  manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Ne…

Archive