Popular Free Courses
Status: Free TrialSkills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Application Programming Interface (API), Automation, Data Analysis
Status: Free TrialSkills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Information Privacy
Status: Free TrialSkills you'll gain: Generative AI, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Augmented and Virtual Reality (AR/VR), Machine Learning
Status: Free TrialSkills you'll gain: Data Storytelling, Big Data, Data Analysis, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Apache Hive, Data Mart, Data Warehousing, Data Transformation, Apache Spark, Data Science, Analytics, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel
Status: Free TrialSkills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation
Status: Free TrialSkills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making
Status: Free TrialStatus: AI skillsGoogle
Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems
Status: Free TrialSkills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming
Status: Free TrialSkills you'll gain: Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Predictive Analytics, Pandas (Python Package), Regression Analysis, Feature Engineering, Statistical Analysis, Matplotlib, Scikit Learn (Machine Learning Library), Data Visualization, NumPy, Python Programming
Status: FreeAmazon Web Services
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
In summary, here are 10 of our most popular free courses
- Python for Data Science, AI & Development:Â IBM
- Excel Basics for Data Analysis:Â IBM
- Generative AI: Introduction and Applications:Â IBM
- Introduction to Data Analytics:Â IBM
- Introduction to Artificial Intelligence (AI):Â IBM
- Machine Learning with Python:Â IBM
- Generative AI: Prompt Engineering Basics:Â IBM
- Google Data Analytics:Â Google
- Databases and SQL for Data Science with Python:Â IBM
- Data Analysis with Python:Â IBM