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
Coursera Instructor Network
GenAI for UX Designers
Skills you'll gain: User Experience Design, User Research, Wireframing, Experience Design, UI/UX Strategy, User Centered Design, Usability, Adobe XD, Conceptual Design, Usability Testing, Generative AI, Figma (Design Software), Interaction Design, Design Thinking, Prototyping, User Interface (UI) Design, Data Ethics, Persona Development
4.2
Rating, 4.2 out of 5 stars
38 reviews
Beginner · Course · 1 - 4 Weeks
Codio
Introduction to VueJS Framework
Skills you'll gain: Vue.JS, HTML and CSS, Web Applications, JavaScript Frameworks, Front-End Web Development, Web Design and Development, Data Storage Technologies
4.1
Rating, 4.1 out of 5 stars
31 reviews
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Getting Started with CyberGIS
Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation
4.2
Rating, 4.2 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
Meta
GenAI in Data Analytics
Skills you'll gain: Generative AI, Business Analytics, Analytics, Data Quality, Business Analysis, Data Ethics, Process Optimization, Artificial Intelligence, Natural Language Processing
4.8
Rating, 4.8 out of 5 stars
18 reviews
Beginner · Course · 1 - 4 Weeks
L&T EduTech
Industrial Power Systems Analysis and Stability
Skills you'll gain: Electrical Substation, Three-Phase, High Voltage, Wiring Diagram, Power Electronics, Basic Electrical Systems, Systems Analysis, Engineering Analysis, Electrical Engineering, Network Analysis, Numerical Analysis, Low Voltage, Engineering Calculations, Mathematical Modeling, Simulations, Simulation and Simulation Software, Reliability, Systems Of Measurement, Graph Theory, Applied Mathematics
4.5
Rating, 4.5 out of 5 stars
20 reviews
Intermediate · Specialization · 1 - 3 Months
Splunk Inc.
Splunk Knowledge Manager 101
Skills you'll gain: Splunk, Dashboard, Security Information and Event Management (SIEM), Incident Management, Information Management, Event Monitoring, Data Processing, Query Languages, Data Manipulation, Data Analysis
4.8
Rating, 4.8 out of 5 stars
22 reviews
Beginner · Course · 1 - 3 Months
Korea Advanced Institute of Science and Technology(KAIST)
Practical Python for AI Coding 2
Skills you'll gain: Matplotlib, Data Visualization, Tensorflow, NumPy, Pandas (Python Package), Object Oriented Programming (OOP), Seaborn, Python Programming, Keras (Neural Network Library), Artificial Intelligence, Scikit Learn (Machine Learning Library), Data Manipulation, Development Environment
4.6
Rating, 4.6 out of 5 stars
23 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Improve Communication with Genial.ly
Skills you'll gain: Presentations, Developing Training Materials, Virtual Environment
4.6
Rating, 4.6 out of 5 stars
36 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Análisis exploratorio de datos con Python y Pandas
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Manipulation, Data Cleansing, Descriptive Statistics, Python Programming
4.3
Rating, 4.3 out of 5 stars
14 reviews
Beginner · Guided Project · Less Than 2 Hours
Google Cloud
Analyzing and Visualizing Data the Google Way
Skills you'll gain: Google Sheets, Data Visualization Software, Spreadsheet Software, Big Data, Data Analysis, Data Presentation, Google Cloud Platform, Data-Driven Decision-Making, Data Integration, Data Manipulation
4
Rating, 4 out of 5 stars
21 reviews
Beginner · Course · 1 - 4 Weeks
Microsoft
Microsoft Copilot for Software Development
Skills you'll gain: Generative AI, Code Review, Test Case, GitHub, OpenAI, Microsoft Visual Studio, Software Documentation, Continuous Integration, Integrated Development Environments, Software Development Tools, Data Ethics, Maintainability, Program Development, Artificial Intelligence, Application Development, Debugging, Development Testing, Software Development, Technical Documentation, Software Installation
4.8
Rating, 4.8 out of 5 stars
27 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free
Amazon Web Services
Amazon Kinesis Video Streams - Getting Started
Skills you'll gain: AWS Kinesis, Amazon Web Services, Image Analysis, Applied Machine Learning, Live Streaming, Real Time Data, Computer Vision, Internet Of Things
Beginner · Course · 1 - 4 Weeks