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
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Databases, Stored Procedure, Web Scraping, Relational Databases, Python Programming, Data Structures, Computer Programming Tools, Data Analysis Software, Software Development Tools
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
72K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Key Technologies for Business
Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Artificial Intelligence, Cloud Platforms, Cloud Hosting, Cloud Engineering, OpenAI, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Computing, Data Analysis, Data Science
4.7
Rating, 4.7 out of 5 stars
101K reviews
Beginner · Specialization · 3 - 6 Months
Yonsei University
First Step Korean
Skills you'll gain: Language Competency, Grammar, Vocabulary, Literacy, Culture
4.9
Rating, 4.9 out of 5 stars
53K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Structuring Machine Learning Projects
Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning
4.8
Rating, 4.8 out of 5 stars
50K reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Learning TensorFlow: the Hello World of Machine Learning
Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Development Environment
4.1
Rating, 4.1 out of 5 stars
17 reviews
Beginner · Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
Skills you'll gain: Differentiated Instruction, Collaborative Software, Education Software and Technology, Pedagogy, Learning Management Systems, Digital Transformation, Emerging Technologies, Innovation, Multimedia, Digital Communications
4.8
Rating, 4.8 out of 5 stars
1.5K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Computer Programming Tools, Data Analysis Software, Data Cleansing, Software Development Tools, Cloud Computing, Data Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
99K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: Multivariate Calculus
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Programming for Everybody (Getting Started with Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting Languages, Scripting, Computational Thinking, Development Environment
4.8
Rating, 4.8 out of 5 stars
231K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
IBM AI Foundations for Business
Skills you'll gain: Large Language Modeling, Data Literacy, Data Mining, Artificial Intelligence, OpenAI, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, ChatGPT, Deep Learning, Data Strategy, Business Strategy, Business Process Automation
4.7
Rating, 4.7 out of 5 stars
94K reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Georgia Institute of Technology
Improve Your English Communication Skills
Skills you'll gain: Sales Presentation, Presentations, Business Writing, Verbal Communication Skills, Business Correspondence, Public Speaking, Cultural Diversity, Professional Networking, Cultural Sensitivity, English Language, Vocabulary, Communication, Interpersonal Communications, LinkedIn, Writing, Business Communication, Interviewing Skills, Instagram, Social Skills, Concision
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Virginia Darden School Foundation
IBM & Darden Digital Strategy
Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Large Language Modeling, Business Transformation, Cloud Security, Cloud Technologies, Cloud Infrastructure, Big Data, Artificial Intelligence, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, OpenAI, Product Lifecycle Management, Business Technologies
4.7
Rating, 4.7 out of 5 stars
45K reviews
Beginner · Specialization · 3 - 6 Months