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 Digital Marketing Specialists
Skills you'll gain: Generative AI, Marketing Analytics, Data Ethics, Content Creation, Content Marketing, Brand Awareness, Marketing, OpenAI, Digital Marketing, Analytics, Data Analysis, ChatGPT, Data-Driven Decision-Making
4.5
Rating, 4.5 out of 5 stars
25 reviews
Intermediate · Course · 1 - 4 Weeks
Blue Prism
Blue Prism Foundation Training
Skills you'll gain: Robotic Process Automation, Business Objects Framework, Business Process Automation, Process Flow Diagrams, Automation, Process Design, Workflow Management, Process Analysis, Process Development, Process Validation, Release Management
4.6
Rating, 4.6 out of 5 stars
34 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Student Self-Assessment with Microsoft Word
Skills you'll gain: Goal Setting, Parent Communication, Student-Centred Learning, Microsoft Word, Self-Motivation, Personal Development, Self-Awareness, Empowerment, Educational Materials, Microsoft 365
4.7
Rating, 4.7 out of 5 stars
32 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Commonwealth Education Trust
Foundations of Teaching for Learning Capstone: The Reflective Practitioner
Skills you'll gain: Lesson Planning, Teaching, Professional Development, Peer Review, Constructive Feedback, Instructional Strategies, Human Learning, Portfolio Management, Growth Mindedness, Relationship Building, Personal Development
4.2
Rating, 4.2 out of 5 stars
18 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
Building Applications with Vector Databases
Skills you'll gain: Anomaly Detection, Database Application, Generative AI, Network Analysis, Applied Machine Learning, Databases, Natural Language Processing, Image Analysis, Text Mining, Information Architecture
4.2
Rating, 4.2 out of 5 stars
6 reviews
Beginner · Project · Less Than 2 Hours
University of Colorado System
Kalman Filter Boot Camp (and State Estimation)
Skills you'll gain: Linear Algebra, Mathematical Modeling, Matlab, Statistical Modeling, Simulations, Applied Mathematics, Probability & Statistics, System Implementation
4.8
Rating, 4.8 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Data Wrangling with Python
Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Seaborn, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data-Driven Decision-Making, Data Transformation, Data Processing, NumPy, Data Cleansing, Data Presentation, Data Visualization Software, Descriptive Statistics, Data Analysis, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
27 reviews
Beginner · Specialization · 3 - 6 Months
Google Cloud
Running Distributed TensorFlow using Vertex AI
Skills you'll gain: Tensorflow, Google Cloud Platform, Image Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing, Deep Learning
Intermediate · Project · Less Than 2 Hours
Johns Hopkins University
Computational and Graphical Models in Probability
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Mathematical Modeling, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Automate R scripts with GitHub Actions: Deploy a model
Skills you'll gain: Analytics, R Programming, Scripting, Google Sheets, Applied Machine Learning, MLOps (Machine Learning Operations), CI/CD, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail
Intermediate · Guided Project · Less Than 2 Hours
The University of Sydney
Introduction to Advanced Calculus
Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives
Intermediate · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
LLMOps
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Generative AI, Data Pipelines, Software Versioning, Data Processing, Data Ethics, Data Transformation, Application Deployment, Artificial Intelligence, Supervised Learning
4.6
Rating, 4.6 out of 5 stars
10 reviews
Beginner · Project · Less Than 2 Hours