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Develop technical machine learning competencies to solve business problems and inform decision making.
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The convergence of various fields, such as data mining, statistics, optimisation, and computing, has given rise to machine learning, which is rapidly gaining adoption across diverse industries. One of the key advantages of machine learning is its capability to handle large datasets and solve complex problems. From commercial applications like search engines and recommendation systems (think Netflix and Amazon) to financial institutions for predicting customer behaviour, compliance, risk, and algorithmic trading, machine learning is proving to be a game-changer.
If you're looking to upskill in machine learning and its applications, the London School of Economics and Political Science (LSE) offers an eight-week online technical course that covers a comprehensive range of machine learning methods. Through practical case studies and hands-on exercises, you'll learn how to apply machine learning models to real-world problems and interpret the resulting predictions to make informed business decisions. The course is designed to help you build your expertise in modern business analytics and gain valuable insights into how machine learning is used today.
If you are a mid to senior manager, data specialist, consultant, analyst, IT, or business professional looking to integrate machine learning techniques to improve data analytics in your organization, this online certificate course is designed for you. This course offers an in-depth exploration of core principles and machine learning methods, which will benefit those interested in practical applications. Whether you are looking to upskill, transition into a data science role, or improve your understanding of business applications of data science, this course will help develop and validate your practical machine learning skills and knowledge.
Prerequisites
This course is technical in nature. It makes use of coding in R and covers the application of machine learning in business. Some algebraic and calculus knowledge is strongly advised, but is not required. Training in tertiary-level statistics and knowledge of a functional or object-oriented language are advantageous. HTML is not considered a programming language in this context. No specific software is required for this online certificate course.
Implement machine learning techniques to solve business problems and inform decision making as you work through the weekly modules of this online certificate course.
Orientation module: Welcome to your Online Campus
Module 1: Learning from data
Module 2: Principles of machine learning
Module 3: Regression
Module 4: Variable selection and shrinkage methods
Module 5: Classification
Module 6: Tree-based methods and ensemble learning
Module 7: Introduction to neural networks
Module 8: Unsupervised learning
Cultivate technical expertise in machine learning and earn an official certificate of competence from the London School of Economics and Political Science.
Assessment is continuous and based on a series of practical assignments completed online. In order to be issued with a digital certificate, you’ll need to meet the requirements outlined in the course handbook. The handbook will be made available to you as soon as you begin the course.
The projected value of the data market by 2025, reflecting the escalating demand for skilled data specialists.
Tech Guide (Jan, 2024).
The forecasted global machine learning market size by 2032, up from $38.11 billion in 2022.
Precedence Research (Jul, 2023).
GetSmarter, an edX partner, delivers career-relevant, fully supported, and expert-led online courses from the world's leading universities and institutions. As an online learning expert with over 15 years' experience, GetSmarter leverages long-standing expertise in market research, data analysis, and business insights to ensure that you gain the skills critical to career growth.