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

L&T EduTech
Industry 4.0: PLM, Value Chain, and Smart Factory
Skills you'll gain: Product Lifecycle Management, Manufacturing and Production, Robotic Process Automation, Production Process, Automation, Enterprise Resource Planning, Internet Of Things, Digital Transformation, Systems Integration, Computer-Aided Design, Predictive Modeling, Artificial Intelligence, Data Sharing, Augmented Reality
4.3
Rating, 4.3 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Generative AI
Skills you'll gain: Generative AI, OpenAI, ChatGPT, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Theoretical Computer Science, Computational Logic, Verification And Validation
Intermediate · Course · 1 - 4 Weeks
Emory University
Reproducible Templates for Analysis and Dissemination
Skills you'll gain: Rmarkdown, Technical Documentation, Software Documentation, Document Management, Technical Writing, Data Sharing, General Science and Research, Technical Communication, R Programming, YAML, Automation, HTML and CSS, Version Control
4.7
Rating, 4.7 out of 5 stars
18 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Forecast bikeshare demand using time series models in R
Skills you'll gain: R Programming, Time Series Analysis and Forecasting, Data Visualization Software, Tidyverse (R Package), Data-Driven Decision-Making, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning
5
Rating, 5 out of 5 stars
6 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
ISAE-SUPAERO
Developments of structural dynamics
Skills you'll gain: Finite Element Methods, Structural Engineering, Vibrations, Engineering Analysis, Mathematical Modeling, Mechanical Engineering, Linear Algebra, Mechanics, Numerical Analysis, Applied Mathematics, Differential Equations, Physics
4.2
Rating, 4.2 out of 5 stars
10 reviews
Intermediate · Course · 1 - 3 Months
University of California San Diego
Teaching Impacts of Technology: Workplace of the Future
Skills you'll gain: Technical Communication, Digital Transformation, Cloud Computing, Computational Thinking, Big Data, Hypertext Markup Language (HTML), Cloud Storage, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, SQL, Databases
4
Rating, 4 out of 5 stars
6 reviews
Beginner · Course · 1 - 3 Months
Codio
Core Java
Skills you'll gain: Apache Maven, JSON, JUnit, Java Programming, Java, Restful API, Integrated Development Environments, Programming Principles, Data Structures, Object Oriented Programming (OOP), Network Protocols, Unit Testing
4.9
Rating, 4.9 out of 5 stars
32 reviews
Intermediate · Course · 1 - 4 Weeks
Tufts University
Hypothesis Testing with Python and Excel
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Data Analysis, Statistics, Business Analytics, Python Programming
4.2
Rating, 4.2 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Amazon Web Services
AWS Glue Getting Started
Skills you'll gain: Amazon Web Services, Data Processing, Amazon S3, Data Cleansing, Extract, Transform, Load, Data Architecture, Data Pipelines, Data Integration
4.6
Rating, 4.6 out of 5 stars
17 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Coursera Instructor Network
GenAI for Financial Data Analysis
Skills you'll gain: Generative AI, Financial Data, Complex Problem Solving, OpenAI, Advanced Analytics, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Modeling, Financial Analysis, Artificial Intelligence, Business Ethics, Data Visualization Software
Beginner · Course · 1 - 4 Weeks
Status: Free
Erasmus University Rotterdam
Effective Engagement of Civil Society in Development
Skills you'll gain: Community Development, Advocacy, Training and Development, Stakeholder Engagement, Public Policies, Fundraising, International Relations, Governance, Policy Development, Law, Regulation, and Compliance, Strategic Partnership, Accountability
4.7
Rating, 4.7 out of 5 stars
49 reviews
Intermediate · Course · 1 - 3 Months
Duke University
Python and Rust with Linux Command Line Tools
Skills you'll gain: Rust (Programming Language), Serverless Computing, Command-Line Interface, Amazon Web Services, Maintainability, Linux Commands, Unix Commands, Software Development Tools, Program Development, Python Programming, Performance Tuning, Debugging
5
Rating, 5 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks