Applied Machine Learning for Business Analytics Course
This course is designed to provide learners with a deep understanding of the core principles, techniques, and applications of machine learning in the context of data-driven analytics. The course focuses on equipping students with the knowledge and skills required to develop, implement, and evaluate machine learning models that can be used to solve complex real-world problems in various industries, such as finance, healthcare, marketing, and supply chain management. Learners will explore a range of machine learning algorithms, including supervised and unsupervised learning techniques, reinforcement learning, and deep learning frameworks. They will also learn how to preprocess and analyze data, select appropriate features, and optimize model performance using evaluation metrics and validation strategies. Additionally, the course will cover ethical considerations and best practices in developing and deploying machine learning models.
max. 8 weeks
Estimated time per week
Applied Machine Learning for Business Analytics Course Overview
Create an analytical solution, integrate its components, and focus on key interoperability points to justify the architectural solution and implementation plan.
Develop a comprehensive understanding of the cutting-edge technologies that facilitate the creation and advancement of machine learning.
Determine the appropriate use of the different cloud-based environments using machine learning components such as Azure, Apache Spark, Databricks, Google BigQuery, and OpenAI.
Explain the process of data cleansing and its importance in data mining and summarize the application areas and industries where data mining is used.
Identify the appropriate statistical modeling techniques needed to evaluate and resolve a business problem.
Create a decision-making model based on data by using data mining tools and techniques.
Evaluate the chosen data mining algorithm, assess modeling accuracy, and analyze the impact on decision-making. Skipping this could lead to poor outcomes.
Applied Machine Learning for Business Analytics Course Skills
How will I learn?
How will I be graded?
What will I get after completing the course?
What support will I receive?
When you have a dedicated team on your side, you'll never be alone studying at Nexford. Hailing from many different countries and with online education expertise, our faculty provides you world-class support. Ask them questions during one-to-one office hours or live chat, email them any time, and get individual feedback on your assessments.
While you’re learning, you’ll also have full access to the Nexford online library, which includes access to millions of full-text articles, industry reports and key sources such as the Wall Street Journal, the Financial Times and The Economist.
LinkedIn Learning: unlimited access with Nexford
Support your Nexford goals with access to LinkedIn Learning during your program, at no additional cost. Explore the learning hub of the globe’s biggest professional networking platform to:
- Power your career: choose from over 16,000 expert-led courses, from remote working to data science
- Show off your skills: earn a certificate when you complete a course
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- Tailor your learning: choose relevant courses based on your experience, LinkedIn profile and goals
- Test what you’ve learned: use LinkedIn Learning assessments
Applied Machine Learning for Business Analytics Course Testimonials
My weekly reflective journal is my Nexford highlight. Thanks to faculty support, I continually apply principles to my enterprise – and I've been able to scale beyond considerable measure.