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

Dell
Dell Technologies Technical Support Career Introduction
Skills you'll gain: Professional Development, Technical Support, Lifelong Learning, Desktop Support, Willingness To Learn, Product Support, End User Training and Support, System Support, Strong Work Ethic, Help Desk Support, Active Listening, Time Management, Growth Mindedness, Collaboration, Teamwork, Relationship Building, Problem Solving, Communication
5
Rating, 5 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
SkillUp EdTech
AZ-800 Exam Prep
Skills you'll gain: Group Policy, Dynamic Host Configuration Protocol (DHCP), Azure Active Directory, Active Directory, Windows Servers, Hyper-V, Virtual Private Networks (VPN), Containerization, Microsoft Azure, Kubernetes, Microsoft Windows, Docker (Software), Hybrid Cloud Computing, Virtualization, Virtual Machines, Server Administration, Network Administration, Authentications, Infrastructure As A Service (IaaS), Network Infrastructure
4.3
Rating, 4.3 out of 5 stars
6 reviews
Intermediate · Specialization · 1 - 3 Months
Duke University
Pandas for Data Science
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Transformation, Data Validation, Data Integration, Python Programming, Data Import/Export, Data Analysis, File Management, Debugging
4.3
Rating, 4.3 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Responsible AI for Developers: Privacy & Safety
Skills you'll gain: Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Personally Identifiable Information, Data Security, Artificial Intelligence and Machine Learning (AI/ML), Cloud Security, Safety and Security, Artificial Intelligence, Encryption, Machine Learning
4.6
Rating, 4.6 out of 5 stars
7 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
University of Colorado Boulder
High Voltage Schottky and p-n Diodes
Skills you'll gain: Semiconductors, High Voltage, Power Electronics, Electronic Systems, Electronic Components, Simulation and Simulation Software, Mathematical Modeling, Applied Mathematics
Build toward a degree
Intermediate · Course · 1 - 4 Weeks
Northeastern University
Ethics and Governance in the Age of Generative AI
Skills you'll gain: Generative AI, Data Ethics, Data Governance, Governance, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Risk Management Framework, Ethical Standards And Conduct, Mitigation, Emerging Technologies
Beginner · Course · 1 - 3 Months
LearnKartS
Core Java - Design Patterns
Skills you'll gain: Software Design Patterns, Java, Software Architecture, Java Platform Enterprise Edition (J2EE), Maintainability, Software Design, Object Oriented Programming (OOP), Scalability
4.8
Rating, 4.8 out of 5 stars
18 reviews
Intermediate · Course · 1 - 4 Weeks
Arizona State University
ELL Success in the Content Classroom: Capstone Project
Skills you'll gain: Lesson Planning, Teaching, Differentiated Instruction, Instructional Strategies, Peer Review, Instructional Design, Developing Training Materials, Curriculum Development, Student Engagement, Community Outreach, Parent Communication
4.7
Rating, 4.7 out of 5 stars
12 reviews
Mixed · Course · 1 - 3 Months
Duke University
Beginning Llamafile for Local Large Language Models (LLMs)
Skills you'll gain: Application Programming Interface (API), Restful API, Natural Language Processing, Web Servers, Server Side, Application Deployment, Generative AI, JSON, Servers, Artificial Intelligence and Machine Learning (AI/ML), Command-Line Interface, Open Source Technology, Performance Tuning
Beginner · Course · 1 - 4 Weeks
University of California San Diego
Learn to Teach Java: Boolean Expressions, If Statements, and Iteration
Skills you'll gain: Debugging, Java, Computer Programming, Object Oriented Programming (OOP), Computational Logic, Computational Thinking, Algorithms
Beginner · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
Project Leadership: Prioritizing, Managing Risks, Evaluating
Skills you'll gain: Project Risk Management, Risk Management, Team Management, Project Implementation, Project Planning, Business Risk Management, Plan Execution, Team Leadership, Project Management, Leadership and Management, Program Evaluation, Initiative and Leadership, Leadership, Coordinating
4.8
Rating, 4.8 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Computational Thinking for K-12 Educators: Variables and Nested Loops
Skills you'll gain: Debugging, Classroom Management, Diversity Awareness, Computational Thinking, Programming Principles, Computer Programming, Algorithms
4.8
Rating, 4.8 out of 5 stars
8 reviews
Beginner · Course · 1 - 3 Months