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 Michigan
GIS: Geographic Information Systems for Sustainability
Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Spatial Analysis, Interactive Data Visualization, Data Storytelling, Environmental Monitoring, Data Presentation, Forecasting, Trend Analysis
Beginner · Course · 1 - 4 Weeks
Status: Free
Coursera Instructor Network
GenAI for Technology Consultants
Skills you'll gain: ChatGPT, Technical Consulting, Consulting, Business Consulting, Generative AI, Technology Solutions, Business Reporting, Research Reports, Data-Driven Decision-Making, Client Services, Business Process Automation, Ethical Standards And Conduct, Data Analysis Software, Report Writing, Value Propositions, Innovation
Beginner · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Attention Mechanism - Español
Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Text Mining, Deep Learning, Machine Learning, Natural Language Processing, Unstructured Data
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Innovating with Google Cloud Artificial Intelligence - Español
Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Transformation, Cloud Solutions, Business Intelligence, Data Ethics, Data Quality, Machine Learning, Natural Language Processing, Applied Machine Learning, Data Analysis, Application Programming Interface (API)
Beginner · Course · 1 - 4 Weeks
University of Michigan
파이썬의 데이터 과학 소개
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles
Intermediate · Course · 1 - 4 Weeks
University of California, Davis
Python Basics: Problem Solving with Code
Skills you'll gain: Debugging, Computational Thinking, Python Programming, Problem Management, Computer Programming, Data Dictionary, Data Structures, Data Analysis, Visualization (Computer Graphics), Data Modeling
Intermediate · Course · 1 - 4 Weeks
Automatic Data Processing, Inc. (ADP)
Recognizing Team Members
Skills you'll gain: Team Motivation, Team Leadership, Team Building, Active Listening, Leadership, Empathy, Self-Awareness, Emotional Intelligence, Employee Engagement, Open Mindset
4.8
Rating, 4.8 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Attention Mechanism - Deutsch
Skills you'll gain: Deep Learning, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Gen AI for developers: Web development with Python & Copilot
Skills you'll gain: Unit Testing, Flask (Web Framework), Front-End Web Development, Web Applications, Web Development, Secure Coding, Integrated Development Environments, Python Programming, User Interface (UI), Application Programming Interface (API), Generative AI
4.9
Rating, 4.9 out of 5 stars
7 reviews
Intermediate · Guided Project · Less Than 2 Hours
Starweaver
IoT Based System Design: Foundations and Applications
Skills you'll gain: Internet Of Things, Wireless Networks, Software Design, Emerging Technologies, Embedded Software, User Interface (UI), Computing Platforms, System Design and Implementation, Software Systems, General Networking, Software Development, User Experience Design, Automation, Systems Architecture, Program Development, Hardware Architecture, Data Security, Application Deployment, Prototyping, Information Privacy
4
Rating, 4 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Packt
Apache Spark with Scala – Hands-On with Big Data!
Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Real Time Data, Query Languages, Programming Principles, Scripting, Machine Learning Algorithms, Graph Theory, Integrated Development Environments, Data Transformation, Development Environment, Distributed Computing, Performance Tuning
Intermediate · Course · 1 - 3 Months
H2O.ai
H2O GPTe Learning Path
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Web Applications, Artificial Intelligence, Data Processing, Information Architecture, Application Programming Interface (API), Natural Language Processing, Automation, Data Analysis
Intermediate · Course · 1 - 3 Months