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

University of Pennsylvania
Achieving Personal and Professional Success
Skills you'll gain: Communication, Critical Thinking, Human Learning, People Analysis, Professional Development, Leadership Development, Leadership and Management, Decision Making, Emotional Intelligence, People Development, Adaptability, Negotiation, Influencing, Innovation
4.7
Rating, 4.7 out of 5 stars
3.1K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Scripting with Python and SQL for Data Engineering
Skills you'll gain: Data Management, Databases, Python Programming, Computer Programming, Programming Principles, SQL, Data Structures, Computer Programming Tools, Database Application, Extract, Transform, Load
4.4
Rating, 4.4 out of 5 stars
94 reviews
Intermediate · Course · 1 - 4 Weeks
Universidad Austral
Programación Orientada a Objetos con Python
Skills you'll gain: Computer Programming, Programming Principles, Python Programming, Software Engineering, System Programming, Computer Programming Tools, Systems Design, Algorithms, Software Testing, Theoretical Computer Science
4
Rating, 4 out of 5 stars
258 reviews
Beginner · Course · 1 - 4 Weeks
University of London
Virtual Reality
Skills you'll gain: Virtual Reality, Human Computer Interaction, Computer Graphics, Interactive Design, User Experience, User Experience Design, Visualization (Computer Graphics), Computer Graphic Techniques, Visual Design, Graphic Design, Critical Thinking, Graphics Software, Human Learning, Scientific Visualization, Interactive Data Visualization
4.7
Rating, 4.7 out of 5 stars
2K reviews
Beginner · Specialization · 3 - 6 Months
Meta
Meta React Native
Skills you'll gain: React (web framework), Javascript, Mobile Development, Mobile Development Tools, Web Development, HTML and CSS, Front-End Web Development, Web Development Tools, Application Development, Computer Programming, Programming Principles, User Experience, Web Design, Cross Platform Development, Software Engineering Tools, SQL, Software Engineering, Agile Software Development, Collaboration, Data Management, Human Computer Interaction, Interactive Design, Linux, Product Design, Product Lifecycle, Project Management
4.6
Rating, 4.6 out of 5 stars
10K reviews
Beginner · Specialization · 3 - 6 Months
University of Minnesota
Software Development Lifecycle
Skills you'll gain: Software Engineering, Design and Product, Agile Software Development, Problem Solving, Software Architecture, Software Testing, Leadership and Management, Project Management, Scrum (Software Development), Software Engineering Tools, Continuous Delivery, Product Development, User Experience, Application Development, Communication, Planning, Collaboration, Estimation, Professional Development, System Software, Theoretical Computer Science, Graphics Software
4.7
Rating, 4.7 out of 5 stars
9.5K reviews
Intermediate · Specialization · 3 - 6 Months
University of California San Diego
Delivery Problem
Skills you'll gain: Algorithms, Computer Programming, Graph Theory, Mathematics, Python Programming, Mathematical Theory & Analysis, Problem Solving, Theoretical Computer Science, Sales
4.7
Rating, 4.7 out of 5 stars
372 reviews
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
Introduction to Programming with Python and Java
Skills you'll gain: Computer Programming, Python Programming, Programming Principles, Java Programming, Computer Programming Tools, Data Analysis, Data Structures, Problem Solving, Computational Logic, Computational Thinking, Critical Thinking, Data Analysis Software, Data Management, Data Visualization, Exploratory Data Analysis, Software Engineering, Data Science
4.5
Rating, 4.5 out of 5 stars
1.8K reviews
Beginner · Specialization · 3 - 6 Months
Rice University
Introduction to Scripting in Python
Skills you'll gain: Computer Programming, Programming Principles, Python Programming, Computer Programming Tools, Computational Logic, Data Analysis, Computational Thinking, Mathematics, Algorithms, Critical Thinking, Data Structures, Mathematical Theory & Analysis, Problem Solving, Algebra, Data Visualization
4.7
Rating, 4.7 out of 5 stars
4.2K reviews
Beginner · Specialization · 3 - 6 Months
Peking University
数据结构基础
Skills you'll gain: Problem Solving, Algebra, Mathematics, Programming Principles, Calculus, Computational Logic, Computational Thinking, Computer Programming, Mathematical Theory & Analysis, Python Programming, Algorithms, Data Structures
4.2
Rating, 4.2 out of 5 stars
251 reviews
Mixed · Course · 1 - 3 Months
Goodwill Industries International
Goodwill® Career Coach and Navigator
Skills you'll gain: Leadership and Management, Critical Thinking, Customer Relationship Management, Customer Success, Human Learning, People Management, Problem Solving, Professional Development, Communication, Recruitment
4.6
Rating, 4.6 out of 5 stars
330 reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
IBM Cybersecurity Analyst
Skills you'll gain: Python Programming, Cryptography, Network Security, Security Strategy, Cyberattacks, Software Security, System Security, Computer Security Incident Management, Networking Hardware, DevOps, Mobile Security, System Software, Security Engineering, Cloud Computing, Computer Programming, Databases, Leadership and Management, Operating Systems, Risk Management, SQL
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
25K reviews
Beginner · Professional Certificate · 3 - 6 Months