What is scikit-learn?

Scikit-learn—or skilearn—is a very useful library of algorithms in Python for machine learning. It started out as a Google summer of code project in 2007 then was further developed by a group of data scientists from the French Institute for Research in Computer Science and Automation (FIRCA) and released to the public in 2010. The scikit-learn library lives at a github.com URL and is now a community effort that anyone with qualified skills can contribute to. While the library is primarily written in Python, it's also built on Python-based libraries that include NumPy, Matplotlib, pandas, and SciPy. It gives users tools for statistical modeling and machine learning, such as classification, clustering, regression, model selection, preprocessing, and dimensionality reduction.

What career opportunities can arise from learning scikit-learn?

When you learn scikit-learn, you put yourself in a position to be able to contribute to and help maintain the scikit-learn library. Top contributors include data scientists, software developers, machine learning researchers, research scientists, and open-source developers. Outside of contributing to the library, individuals in these career fields and others related to machine learning are better equipped to perform their job duties when they've learned how to utilize the algorithms in scikit-learn.

What skills or experience do I need to already have, before starting to learn scikit-learn?

Before starting to learn scikit-learn, you should have experience in and a sound understanding of Python. It is also often required to have experience in additional Python libraries, including NumPy, Scipy, Joblib, Matplotlib, and pandas.

How can taking online courses on Coursera help me learn scikit-learn?

Taking online courses on Coursera can help you learn about Python and machine learning as well as the specifics of using and creating algorithms for scikit-learn. You might learn how to build univariate and multivariate linear regression models using scikit-learn, use pandas to manage data, and perform exploratory data analysis and data visualization with seaborn, a Python library based on Matplotlib. With Coursera's online courses, you may also have the opportunity to make predictions in specific topics like electricity consumption, sentiment analysis, and career longevity for NBA rookies, for example.

What are the benefits of taking an online Scikit Learn course?

Online Scikit Learn courses offer a convenient and flexible way to enhance your knowledge or learn new Scikit Learn skills. Choose from a wide range of Scikit Learn courses offered by top universities and industry leaders tailored to various skill levels.

What Scikit Learn courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Scikit Learn, 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 Scikit Learn Courses - Learn Scikit Learn Online

Explore the Scikit-learn Course Catalog

Coursera Project Network
Scikit-Learn For Machine Learning Classification Problems
Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
4.5
Rating, 4.5 out of 5 stars
17 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
LearnQuest
Introduction to Data Science and scikit-learn in Python
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Data Science, Statistical Hypothesis Testing, Statistical Methods, Computer Programming, Data Structures
3.7
Rating, 3.7 out of 5 stars
50 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Scikit-Learn to Solve Regression Machine Learning Problems
Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm
4.8
Rating, 4.8 out of 5 stars
8 reviews
Beginner · Guided Project · Less Than 2 Hours
Deep Teaching Solutions
Learning How to Learn: Powerful mental tools to help you master tough subjects
Skills you'll gain: Learning Strategies, Time Management, Willingness To Learn, Productivity, Growth Mindedness, Mental Concentration, Creativity, Self-Discipline, Cognitive flexibility, Stress Management, Adaptability
4.8
Rating, 4.8 out of 5 stars
92K reviews
Beginner · Course · 1 - 4 Weeks
Arizona State University
Learning How To Learn for Youth
Skills you'll gain: Learning Strategies, Productivity, Human Learning, Willingness To Learn, Mental Concentration, Creativity, Time Management, Stress Management, Problem Solving, Self-Awareness, Persistence
4.8
Rating, 4.8 out of 5 stars
3K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Irvine
Learn English: Intermediate Grammar
Skills you'll gain: Grammar, Vocabulary, English Language, Multimedia, Content Creation, Photo/Video Production and Technology, Language Learning, Writing, Electronic Media, Oral Comprehension, Language Competency
4.8
Rating, 4.8 out of 5 stars
5.3K reviews
Intermediate · Specialization · 3 - 6 Months

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Status: Free Trial
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling
4.9
Rating, 4.9 out of 5 stars
29K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Davis
Learn SQL Basics for Data Science
Skills you'll gain: Data Governance, Presentations, SQL, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Quality, Data Pipelines, Databricks, JSON, Statistical Analysis, Data Modeling, Database Design, Data Analysis, Complex Problem Solving, Data Visualization
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Status: AI skills
Google
Google Data Analytics
Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Rmarkdown, Interactive Data Visualization, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, LinkedIn, Interviewing Skills, Applicant Tracking Systems
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
171K reviews
Beginner · Professional Certificate · 3 - 6 Months
McMaster University
Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential
Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Open Mindset, Resilience, Stress Management, Overcoming Obstacles, Curiosity, Cognitive flexibility
4.8
Rating, 4.8 out of 5 stars
13K reviews
Beginner · Course · 1 - 4 Weeks
Yonsei University
Learn to Speak Korean 1
Skills you'll gain: Language Competency, Language Learning, Vocabulary, Oral Comprehension, Grammar
4.9
Rating, 4.9 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Status: AI skills
Google
Google Project Management:
Skills you'll gain: Quality Management, Project Management Life Cycle, Requirements Analysis, Project Scoping, Project Closure, Project Management, Project Planning, Agile Project Management, Continuous Improvement Process, Project Controls, Backlogs, Stakeholder Communications, Milestones (Project Management), Quality Assessment, Team Management, Agile Methodology, Project Documentation, Change Management, Interviewing Skills, Applicant Tracking Systems
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
131K reviews
Beginner · Professional Certificate · 3 - 6 Months