Why is it important to learn about applied machine learning?

It's important to learn about applied machine learning if you want to pursue a career in it or if you want to know how to use it in data analysis. Applied machine learning can be used to solve problems and collect insights from big data sets. When you learn machine learning fundamentals, you will be able to do predictive analysis, data analysis, and text mining. You'll be able to apply different programming languages and platforms to the data problems faced in your organization. Applied machine learning can help you pull insights and make decisions from the information that has been collecting for a long time.

What career opportunities can arise from learning applied machine learning?

Career opportunities that arise from learning applied machine learning are mostly in computer programming. Applied machine learning, also known as automatic machine learning or AutoML, involves using computer languages for data analysis of large data. Being able to create the programs to do this is important. It is also useful to understand the power and limitations of applied machine learning if you will be using reports and making decisions based on applied machine learning. More and more management information systems include aspects of applied machine learning. This makes the field more useful to those who use data in their daily work.

How can online courses on Coursera help me learn applied machine learning?

Online courses on Coursera can help you learn applied machine learning in several languages and platforms, including Python, Matlab, Google Cloud, H20 in R, and TensorFlow. Some courses cover programming languages, and others look at how machine learning is applied to decision making in specific fields. Most courses are at an intermediate level, but a few offer a beginner-level introduction to the fundamentals of applied machine learning and how to chart, plot, and mine text to make big data usable. The courses include lectures, readings, and projects so that you can apply what you learn. Some courses stand alone, and others are part of Specializations and Professional Certificates.

What are the benefits of taking an online Applied Machine Learning course?

Online Applied Machine Learning courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Machine Learning skills. With a wide range of Applied Machine Learning classes, you can conveniently learn at your own pace to advance your Applied Machine Learning career skills.

What Applied Machine Learning courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Applied Machine Learning, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Applied Machine Learning Courses - Learn Applied Machine Learning Online

Explore the Applied Machine Learning Course Catalog

Status: Free Trial
IBM
Python Project for Data Science
Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection
4.5
Rating, 4.5 out of 5 stars
4.6K reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
IBM
IBM Product Owner
Skills you'll gain: User Story, Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Stakeholder Communications, Agile Methodology, Kanban Principles, Product Roadmaps, Virtual Teams, Stakeholder Management, Information Technology, Agile Project Management, Computer Hardware, Product Strategy, Product Planning, Product Management, Cloud Computing, Communication, Sprint Planning
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Arizona
Astronomy: Exploring Time and Space
Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, General Science and Research, Scientific Methods, Scientific Visualization, Research, Simulations
4.8
Rating, 4.8 out of 5 stars
3.9K reviews
Beginner · Course · 1 - 3 Months
Status: New
Coursera Instructor Network
GenAI for Financial Controllers: Boosting Budget Accuracy
Skills you'll gain: Financial Forecasting, Dashboard, Budgeting, Financial Management, Predictive Modeling, Forecasting, Power BI, Generative AI, Tableau Software, Business Intelligence, Financial Modeling, Artificial Intelligence, Microsoft Excel, Financial Analysis, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks
Status: New
Fractal Analytics
Data Frameworks for Generative AI
Skills you'll gain: Taxonomy, Data Governance, Generative AI, Data Strategy, Data Quality, Data Architecture, Data Management, Data Infrastructure, Data Access, Large Language Modeling, Prompt Engineering, Information Architecture, Unstructured Data, Data Security, Agentic systems
Intermediate · Course · 1 - 4 Weeks
Status: New
Coursera Instructor Network
GenAI for Employee Engagement: Driving Real-Time Insights
Skills you'll gain: Employee Engagement, Drive Engagement, People Analytics, AI Personalization, Generative AI, Employee Surveys, Human Resource Strategy, Data Ethics, Real Time Data, Human Resources, User Feedback, Communication Strategies, Continuous Improvement Process
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Pennsylvania
Introduction to Programming with Python and Java
Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking
4.5
Rating, 4.5 out of 5 stars
1.8K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Arizona State University
Teach English Now! Technology Enriched Teaching
Skills you'll gain: Learning Management Systems, Education Software and Technology, Technology Strategies, End User Training and Support, Emerging Technologies, Innovation, Digital Transformation, Language Learning
4.9
Rating, 4.9 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 3 Months
Status: New
Coursera Instructor Network
GenAI for Medical Coders: Simplifying Documentation
Skills you'll gain: Generative AI, Regulatory Compliance, Medical Records, Medical Billing and Coding, Health Information Management and Medical Records, Technical Documentation, Automation, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
Status: New
Coursera Instructor Network
GenAI for Field Sales Agents: Local Market Insights
Skills you'll gain: Sales Territory Management, Generative AI Agents, Sales Strategy, Customer Engagement, Sales Process, Lead Generation, Sales, Customer experience improvement, Real Time Data, Customer Insights, Market Analysis, Ethical Standards And Conduct, Performance Analysis
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Introduction to Software Engineering
Skills you'll gain: Software Development Life Cycle, Software Architecture, Development Environment, Engineering Software, Software Design, Software Development Tools, Software Engineering, Program Development, Systems Development, Software Documentation, Software Design Patterns, Software Development Methodologies, Unified Modeling Language, Integrated Development Environments, Programming Principles, Application Development, Agile Methodology, Python Programming
4.7
Rating, 4.7 out of 5 stars
3.4K reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Free Trial
IBM
Build RAG Applications: Get Started
Skills you'll gain: Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Application Development, Application Frameworks, User Interface (UI), Natural Language Processing, Jupyter
4.8
Rating, 4.8 out of 5 stars
11 reviews
Intermediate · Course · 1 - 4 Weeks