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
Skills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis
Skills 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
Skills 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
University 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
Skills 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, Exploratory Data Analysis, Programming Principles, Data Storage, Computational Logic
Skills 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?
Skills 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
Skills 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
University of Michigan
Skills you'll gain: Database Design, Data Processing, Debugging, Web Scraping, File I/O, Data Store, Data Visualization, Database Software, Relational Databases, Web Services, Restful API, SQL, Databases, Data Visualization Software, JSON, Data Presentation, Data Structures, Programming Principles, Python Programming, Program Development
Fractal 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, Probability & Statistics, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Statistical Programming, Histogram, Statistical Analysis, Database Application, Database Software, Integrated Development Environments, Python Programming
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining
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
- IBM Data Science: IBM
- Data Science Fundamentals with Python and SQL: IBM
- Python for Everybody: University of Michigan
- Python for Data Science: Fractal Analytics
