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
Interactive and Immersive Experiences with Generative AI
Skills you'll gain: Generative AI, Virtual Environment, Augmented and Virtual Reality (AR/VR), Virtual Reality, Artificial Intelligence, Creativity, Brainstorming, Storytelling, Multimedia, Interactive Design, Persona (User Experience), Content Creation, Storyboarding, Experience Design, Collaboration
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Python NLTK for Beginners: Customer Satisfaction Analysis
Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Python Programming, Data Cleansing
4.8
Rating, 4.8 out of 5 stars
8 reviews
Beginner · Guided Project · Less Than 2 Hours
Johns Hopkins University
Big Data Processing Using Hadoop
Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, Databases, SQL, Query Languages, Data Analysis Software, Data Architecture, Data Structures, Java Programming, Distributed Computing, Performance Tuning
Intermediate · Specialization · 3 - 6 Months
Status: Free
Coursera Instructor Network
Introduction to Selenium
Skills you'll gain: Selenium (Software), Test Automation, Debugging, Scripting, Automation, Web Scraping, Software Testing, Test Case, Browser Compatibility, Cascading Style Sheets (CSS)
4.5
Rating, 4.5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Scrimba
Learn Python: 3
Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Performance Tuning, File Management, Debugging
Intermediate · Course · 1 - 4 Weeks
Corporate Finance Institute
Python Fundamentals
Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Statistical Methods, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Data Import/Export, Python Programming, Data Cleansing, Computer Programming
Advanced · Course · 1 - 3 Months
Packt
Linux Troubleshooting Fundamentals
Skills you'll gain: Network Troubleshooting, Linux Servers, Linux Administration, Hardware Troubleshooting, Virtualization and Virtual Machines, System Monitoring, Linux, Virtual Machines, Desktop Support, System Support, Linux Commands, Help Desk Support, Virtualization, Technical Support, Issue Tracking, Problem Management, Server Administration, Software Installation, System Configuration, Performance Tuning
Beginner · Course · 1 - 4 Weeks
L&T EduTech
Planning & Execution plan in Heavy Lifting
Skills you'll gain: Construction Engineering, Equipment Design, Construction Management, Engineering Practices, Systems Engineering, Structural Engineering, Engineering Documentation, Civil Engineering, Safety Assurance, Engineering Calculations, Machine Controls, Mechanical Engineering, Risk Control, Hydraulics
Advanced · Course · 1 - 4 Weeks
University of Maryland, College Park
Fundamentals of Digital Marketing
Skills you'll gain: Search Engine Marketing, Search Engine Optimization, Web Analytics and SEO, Digital Marketing, Return On Investment, Media Planning, Consumer Behaviour, Marketing, Marketing Channel, Social Media Marketing, Marketing Strategies, Marketing Effectiveness, Marketing Psychology, Network Model, Integrated Marketing Communications, Promotional Strategies, Media Strategy, Business-To-Consumer, Marketing Analytics, Advertising
Beginner · Course · 1 - 3 Months
HubSpot Academy
Representante de Ventas de HubSpot
Skills you'll gain: Sales Management, Sales Enablement, HubSpot CRM, Data Visualization, Prospecting and Qualification, Sales Presentations, Sales Development, Persona Development, Sales Process, Sales Strategy, Sales Training, Lead Generation, Employee Onboarding, Service Level Agreement, Sales Pipelines, Sales, Employee Coaching, Target Audience, Phone Sales, Customer Relationship Management (CRM) Software
Beginner · Professional Certificate · 3 - 6 Months
University at Buffalo
Renewable Energy: Manufacturing Career Exploration
Skills you'll gain: Manufacturing and Production, Production Process, Manufacturing Processes, Manufacturing Operations, Quality Control, Workforce Development, Supply Chain, Workforce Planning, Supply Chain Management, Environment and Resource Management, Environment
Beginner · Course · 1 - 3 Months
Whizlabs
Azure: Compute, Storage, and Database Security
Skills you'll gain: Microsoft Azure, Cloud Security, Infrastructure Security, Kubernetes, Data Security, Virtual Machines, Remote Access Systems, Role-Based Access Control (RBAC), Data Storage Technologies, Identity and Access Management, Databases, Containerization, Database Management, Key Management, Encryption
Intermediate · Course · 1 - 4 Weeks