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

IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
71K reviews
Beginner · Specialization · 3 - 6 Months
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Data Analysis, Data Processing, Data Manipulation, SQL, Data Transformation, Spreadsheet Software
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of Alberta
Indigenous Canada
Skills you'll gain: Social Studies, Storytelling, Cultural Diversity, Culture, Social Justice, Liberal Arts, Sociology, Political Sciences, Social Sciences, Economics, Environment and Resource Management, Governance
4.8
Rating, 4.8 out of 5 stars
23K reviews
Mixed · Course · 1 - 3 Months
Google
Project Planning: Putting It All Together
Skills you'll gain: Project Management Life Cycle, Project Management, Project Planning, Communication Planning, Project Documentation, Milestones (Project Management), Project Schedules, Risk Management, Cost Management, Budgeting, Estimation, Procurement, Technical Communication, Strategic Communication
4.8
Rating, 4.8 out of 5 stars
14K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Programming for Everybody (Getting Started with Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
4.8
Rating, 4.8 out of 5 stars
231K reviews
Beginner · Course · 1 - 3 Months
Status: Free
Deep Teaching Solutions
Aprendiendo a aprender: Poderosas herramientas mentales con las que podrás dominar temas difíciles (Learning How to Learn)
Skills you'll gain: Learning Strategies, Critical Thinking and Problem Solving, Human Learning, Creativity, Time Management, Growth Mindedness, Self-Discipline, Stress Management, Self-Awareness, Persistence
4.9
Rating, 4.9 out of 5 stars
11K reviews
Beginner · Course · 1 - 3 Months
Status: New
IBM
IBM Relational Database Administrator
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Transformation, IBM DB2, Relational Databases, Jupyter, Generative AI
4.6
Rating, 4.6 out of 5 stars
57K reviews
Intermediate · Professional Certificate · 3 - 6 Months
IBM
BI Foundations with SQL, ETL and Data Warehousing
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Data Visualization, Dashboard, File Management, Star Schema, Unix Shell, IBM DB2, Business Intelligence, Databases, Stored Procedure, Relational Databases
4.6
Rating, 4.6 out of 5 stars
24K reviews
Beginner · Specialization · 3 - 6 Months
Tsinghua University
Learn English
Skills you'll gain: Cultural Diversity, Cultural Sensitivity, Intercultural Competence, Mental Health, Culture, Learning Strategies, Stress Management, Liberal Arts, Literacy, Language Learning, Social Studies, Economics, Social Skills, Interpersonal Communications, Psychology, Verbal Communication Skills, Writing, Business Management, Communication, Grammar
4.3
Rating, 4.3 out of 5 stars
926 reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks
IBM
AI Foundations for Everyone
Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), IBM Cloud, Private Cloud, Data Loss Prevention, Deep Learning, WordPress, Artificial Neural Networks, Cloud Services, Application Deployment, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Software Development Tools, Image Analysis
4.7
Rating, 4.7 out of 5 stars
26K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Data Analysis and Visualization Foundations
Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Data Collection, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Microsoft Excel, Data Quality, Data Cleansing, Data Import/Export
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months