Python for Data Science Courses
Python for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with data sets, performing exploratory data analysis, and developing predictive models. Many courses introduce tools like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning, allowing you to apply your skills in practical projects and real-world data challenges.
Popular Python for Data Science Courses and Certifications
Status: Free TrialSkills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis
Status: Free TrialSkills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Data Processing, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Feature Engineering, Data Import/Export, Scientific Visualization, Data Visualization, Python Programming
Status: Free TrialSkills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Data Analysis, Data Presentation, Analytical Skills, Data Visualization Software, Graphing, Pandas (Python Package), Data Science, Jupyter, Python Programming, Data Collection
Status: Free TrialUniversity of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Statistical Visualization, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming
Status: Free TrialSkills you'll gain: Pandas (Python Package), NumPy, Object Oriented Design, Data Manipulation, Code Reusability, Data Preprocessing, Data Wrangling, Package and Software Management, Data Analysis, Data Processing, Data Integration, JSON, Object Oriented Programming (OOP), Data Science, Data Structures, Python Programming, Programming Principles, Data Import/Export, Data Storage, Computational Logic
Status: NewStatus: Free TrialSkills you'll gain: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Data Processing, Programming Principles, Computer Programming, Analytics, Analytical Skills, Scripting
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Dashboard Creation, Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Data Presentation, Data Analysis, Probability Distribution, R (Software), Statistics, Data Science, Database Management, Relational Databases, R Programming, Data Import/Export, Python Programming, NumPy
Status: Free TrialFractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Plot (Graphics), Data Preprocessing, Statistical Methods, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Processing, Data Cleansing, Data Analysis, Pandas (Python Package), Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Status: Free TrialStatus: AI skillsSkills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Data Wrangling, SQL, Plot (Graphics), Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Cleansing, Jupyter, Data Literacy, Generative AI, Professional Networking, Data Import/Export
Status: Free TrialSkills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Data Visualization Software, Python Programming, NumPy, Statistics, Data Analysis, Git (Version Control System), Collaborative Software, AI Workflows, Data Transformation
Status: NewCorporate Finance Institute
Skills you'll gain: Data Structures, Data Wrangling, Data Transformation, Analytical Skills, Data Manipulation, Data Processing, Data Storage, Computational Thinking, Data Analysis, Analysis, Analytics, Jupyter, Programming Principles, Python Programming, Scripting, Code Reusability, Computational Logic, Development Environment, Software Installation, Package and Software Management
Status: Free TrialStatus: AI skillsGoogle
Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, R (Software), Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), Data Literacy, Web Presence, Data Structures, Interviewing Skills
In summary, here are 10 of our most popular python for data science courses
- Python for Data Science, AI & Development: IBM
- Data Analysis with Python: IBM
- Python Project for Data Science: IBM
- Applied Data Science with Python: University of Michigan
- Google Data Analysis with Python: Google
- Introduction to Data Analysis Using Python: Google
- Data Science Fundamentals with Python and SQL: IBM
- Python for Data Science: Fractal Analytics
- IBM Data Science: IBM
- Python for Data Science (and Version Control with GitHub): Coursera
