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
University of Toronto
Introduction To Swift Programming
Skills you'll gain: Swift Programming, iOS Development, Apple iOS, Apple Xcode, Mobile Development, Objective-C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Integrated Development Environments, Image Analysis
3.9
Rating, 3.9 out of 5 stars
1.4K reviews
Mixed · Course · 1 - 3 Months
Universidade de São Paulo
Introdução à Ciência da Computação com Python Parte 2
Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Performance Testing, Algorithms, Computer Science, Data Structures, Python Programming, Computational Thinking, Performance Tuning, Software Testing
4.9
Rating, 4.9 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 3 Months
University of Manchester
Managing Responsibly: Practicing Sustainability, Responsibility and Ethics
Skills you'll gain: Corporate Sustainability, Business Ethics, Environmental Social And Corporate Governance (ESG), Intercultural Competence, Ethical Standards And Conduct, Team Management, Team Oriented, Decision Making, Cultural Diversity, Systems Thinking, Organizational Change, Governance, Stakeholder Management
4.8
Rating, 4.8 out of 5 stars
664 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Stanford University
Rebuilding Our Relationship with Food
Skills you'll gain: Cultural Diversity, Compassion, Food and Beverage, Nutrition and Diet, Mindfulness, Behavioral Health, Self-Awareness, Decision Making
4.9
Rating, 4.9 out of 5 stars
345 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Duke University
Building Cloud Computing Solutions at Scale
Skills you'll gain: Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Development, Cloud Platforms, Cloud Computing, Application Deployment, Agile Software Development, DevOps, Software Engineering, Infrastructure As A Service (IaaS), Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Extract, Transform, Load, Google Cloud Platform
4.4
Rating, 4.4 out of 5 stars
462 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Large Language Model Operations (LLMOps)
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Dataflow, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Natural Language Processing
4.5
Rating, 4.5 out of 5 stars
181 reviews
Beginner · Specialization · 3 - 6 Months
Ludwig-Maximilians-Universität München (LMU)
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations
4.8
Rating, 4.8 out of 5 stars
386 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Precalculus through Data and Modelling
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry
4.7
Rating, 4.7 out of 5 stars
304 reviews
Beginner · Specialization · 3 - 6 Months
Erasmus University Rotterdam
Assessment in Higher Education: Professional Development for Teachers
Skills you'll gain: Constructive Feedback, Higher Education, Instructional Design, Program Standards, Planning, Reliability, Analytical Skills, Decision Making
4.8
Rating, 4.8 out of 5 stars
410 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Introduction to NoSQL Databases
Skills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
350 reviews
Beginner · Course · 1 - 3 Months
University of Alberta
Problem Solving, Python Programming, and Video Games
Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Computer Programming, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Application Development, Debugging, Problem Management, Functional Testing, Test Planning
4.3
Rating, 4.3 out of 5 stars
233 reviews
Beginner · Course · 1 - 3 Months
Nanjing University
Data Processing Using Python
Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Import/Export, Data Manipulation, Matplotlib, User Interface (UI) Design
4.1
Rating, 4.1 out of 5 stars
374 reviews
Beginner · Course · 1 - 3 Months