What skills can I learn in machine learning courses on Coursera?

Machine learning courses on Coursera cover a range of essential skills including: Supervised learning and unsupervised learning methodologies Neural networks and deep learning architectures Algorithmic foundations such as regression, classification, and clustering Data preprocessing, feature engineering , and data augmentation techniques Model evaluation and optimization methods Practical applications of machine learning in various industries Implementation of machine learning algorithms using Python and libraries like TensorFlow and PyTorch

Do I need prior experience in programming to start these machine learning courses?

No prior programming experience is required to begin beginner machine learning courses , but having some foundational knowledge in programming (especially Python ) can be very beneficial. The curriculum is structured to accommodate learners at all levels: Beginners can start with introductory courses that cover basic programming and data handling. Intermediate learners can advance to applying machine learning algorithms on real data. Advanced professionals can explore specialized areas such as deep learning , reinforcement learning , or natural language processing .

What machine learning certifications and credentials are available?

Machine learning courses on Coursera offer a variety of credentialing options: Professional certificates that demonstrate a more comprehensive understanding of machine learning concepts and techniques. Specialized course certificates in areas such as artificial intelligence, data science, or specific technologies like TensorFlow. Certifications from leading tech companies and universities that can help enhance your professional credibility and career prospects.

What career opportunities are available with skills in machine learning?

Skills in machine learning can open doors to numerous high-demand roles in technology and research, including: Machine Learning Engineer Data Scientist AI Research Scientist Robotics Engineer Quantitative Analyst in finance Software Developer specializing in AI Professionals in these roles utilize machine learning techniques to create innovative solutions, improve data-driven decision-making, and push the boundaries of artificial intelligence. Discover which machine learning role suits you best by taking our career quiz !

Are there free machine learning courses or certifications available on Coursera?

Yes, Coursera offers a variety of free courses across many topics, including machine learning. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.

Top Machine Learning Courses - Learn Machine Learning Online

Results for "machine learning"

Status: Free Trial
University of Colorado Boulder
Ethical Issues in Data Science
Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Cybersecurity, Emerging Technologies
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
42 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Data Science as a Field
Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
37 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Edureka
Power BI for Data Science and Analytics
Skills you'll gain: Power BI, Business Intelligence, Data Modeling, Data Visualization Software, Data Analysis, Key Performance Indicators (KPIs), Dashboard, Data Storytelling, Text Mining, Data Science, Performance Metric, Data Cleansing, Image Analysis, Data Transformation, Data Manipulation, Natural Language Processing
4
Rating, 4 out of 5 stars
8 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Howard University
Linear Algebra for Data Science Using Python
Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Python Programming, Statistical Modeling, Mathematical Software, Supervised Learning, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Algebra
4.3
Rating, 4.3 out of 5 stars
32 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of London
Statistics and Clustering in Python
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Machine Learning Algorithms, Data Manipulation, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming
4.4
Rating, 4.4 out of 5 stars
11 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Snowflake for Data Science: Intro to Snowpark ML for Python
Skills you'll gain: Snowflake Schema, Applied Machine Learning, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Processing, Data Science, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Pennsylvania
Statistics for Data Science Essentials
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
4.7
Rating, 4.7 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Statistical Learning for Data Science
Skills you'll gain: Statistical Modeling, Applied Machine Learning, Statistical Machine Learning, Regression Analysis, Statistical Methods, Data Science, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, R Programming, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probability & Statistics, Advanced Analytics, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Build toward a degree
4
Rating, 4 out of 5 stars
17 reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Universidad de Palermo
Data Science & Inteligencia Artificial aplicados a negocios
Skills you'll gain: Data Ethics, Predictive Modeling, Business Transformation, Data-Driven Decision-Making, Business Leadership, Data Science, Business Analytics, Organizational Change, Innovation, Strategic Leadership, Artificial Intelligence, Natural Language Processing, Strategic Decision-Making, Applied Machine Learning, Ethical Standards And Conduct, Computer Vision
Beginner · Course · 1 - 4 Weeks
University of Leeds
Programming for Data Science
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Software Installation, Data Structures, Data Science, Software Documentation, Debugging
4.3
Rating, 4.3 out of 5 stars
25 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Johns Hopkins University
Big Data Processing Using Hadoop
Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, File Systems, Data Processing, Data Management, Analytics, Data Science, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Data Transformation, Performance Tuning, Software Architecture
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of California, Irvine
Interviewing for DS/AI Roles
Skills you'll gain: Goal Setting, Interviewing Skills, Professional Networking, Negotiation, Workforce Planning, Professional Development, Data Science, LinkedIn, Artificial Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Talent Sourcing, Data Analysis, Recruitment, Data Architecture, Presentations, Technical Consulting, Big Data, Job Analysis, Analytical Skills
4.9
Rating, 4.9 out of 5 stars
18 reviews
Beginner · Specialization · 1 - 3 Months