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

University of Michigan
The Power of Object-Oriented Programming
Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Computer Programming, Program Development, Python Programming
Intermediate · Course · 1 - 4 Weeks
Northeastern University
Information Systems Foundations
Skills you'll gain: Systems Thinking, Software Visualization, Object Oriented Design, Software Engineering, Object Oriented Programming (OOP), Web Applications, Software Development Life Cycle, Risk Management, Software Design, Business Systems, Software Development, Business Architecture, Business Risk Management, Python Programming, User Centered Design, Process Design, Application Development, Computer Programming, Development Environment, Scripting
2.4
Rating, 2.4 out of 5 stars
10 reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Data Science with R
Skills you'll gain: Data Ethics, Ggplot2, R Programming, Web Scraping, GitHub, Data Visualization Software, Data Visualization, Git (Version Control System), Statistics, Data Wrangling, Tidyverse (R Package), Exploratory Data Analysis, Data Manipulation, Data Integrity, Data Import/Export, Data Collection, Data Cleansing, Data Presentation, Research, Data Science
4.9
Rating, 4.9 out of 5 stars
9 reviews
Beginner · Specialization · 1 - 3 Months
University of Michigan
Работа с базами данных в Python
Skills you'll gain: SQL, Relational Databases, Database Management, Databases, Database Design, Data Visualization, Object Oriented Programming (OOP), Data Processing, Data Modeling, Data Manipulation, Python Programming, Application Programming Interface (API)
Mixed · Course · 1 - 3 Months
L&T EduTech
CPS Design for Mechatronics, Healthcare, EV & Robotics
Skills you'll gain: Embedded Systems, Machine Controls, Electronic Systems, Automation, Power Electronics, Engineering, Electronic Components, Basic Electrical Systems, Mechanical Design, Mechanical Engineering, Hydraulics, Thermal Management, Matlab, Real Time Data
Intermediate · Course · 1 - 4 Weeks
Imperial College London
Quality Improvement for Population Health
Skills you'll gain: Epidemiology, Continuous Quality Improvement (CQI), Health Administration, Health Systems, Health Care, Geographic Information Systems, Research Design, Data Visualization
4.5
Rating, 4.5 out of 5 stars
14 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
IIT Roorkee
Data Mining for Smart Cities
Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Scikit Learn (Machine Learning Library), Big Data, Data Cleansing, Data Visualization, Python Programming, Machine Learning, Data-Driven Decision-Making, NumPy, Exploratory Data Analysis, Deep Learning, Regression Analysis
Beginner · Course · 1 - 3 Months
KodeKloud
Kubernetes Basics for DevOps
Skills you'll gain: Kubernetes, Microservices, Containerization, Cloud-Native Computing, Docker (Software), DevOps, Application Deployment, Servers, YAML, General Networking, Scalability, Command-Line Interface
4.5
Rating, 4.5 out of 5 stars
6 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Plots Creation using Matplotlib Python
Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation
3.9
Rating, 3.9 out of 5 stars
9 reviews
Beginner · Guided Project · Less Than 2 Hours
Microsoft
Azure Monitoring and Analytics Fundamentals
Skills you'll gain: System Monitoring, Microsoft Azure, Event Monitoring, Query Languages, Application Performance Management, Cloud Management, Performance Tuning, Continuous Monitoring, Interactive Data Visualization, Virtual Machines
4.4
Rating, 4.4 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
SkillUp EdTech
AZ-305 Designing MS Azure Infrastructure Solutions Exam Prep
Skills you'll gain: Microsoft Azure, Role-Based Access Control (RBAC), Azure Active Directory, Load Balancing, Cloud Security, Cloud Management, Cloud Infrastructure, Network Architecture, Authorization (Computing), Database Management, Data Security, Relational Databases, Authentications, Identity and Access Management, Disaster Recovery, Network Administration, Cloud Computing, Single Sign-On (SSO), System Monitoring, Data Storage
5
Rating, 5 out of 5 stars
9 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free
ESSEC Business School
Paths to a Sustainable Future
Skills you'll gain: Collaboration, Decision Making, Business Transformation, Social Justice, Environmental Issue, Business Economics, Social Sciences, Systems Thinking, Adaptability, Community Development, Cultural Diversity, Lifelong Learning, Environmental Policy
4.5
Rating, 4.5 out of 5 stars
11 reviews
Beginner · Course · 1 - 4 Weeks