Results for "introduction to data science in python"
University of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Code Reusability, Data Visualization, Statistical Visualization, Programming Principles, Computer Programming, Data Wrangling, Data Manipulation, Data Processing, Functional Design, Data Science, Package and Software Management, Python Programming, Computational Logic, Data Structures
University of Michigan
Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Statistical Methods, Linear Algebra, Python Programming, Classification Algorithms
Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Data Visualization Software, Data Visualization, Plot (Graphics), Dashboard, Interactive Data Visualization, Dashboard Creation, Matplotlib, Geospatial Information and Technology, Histogram, Spatial Data Analysis, Seaborn, Data Analysis, Scatter Plots, Jupyter, Geospatial Mapping, Python Programming
Skills you'll gain: R (Software), Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Programming Principles, Jupyter, File I/O, Integrated Development Environments, Debugging
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, Pandas (Python Package), Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Skills you'll gain: Git (Version Control System), Version Control, GitHub, Jupyter, Python Programming, Programming Principles, Software Versioning, Data Science, Generative AI, Development Environment, Computer Programming, Data Analysis
Skills 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
Skills you'll gain: Pandas (Python Package), Data Analysis, Analytics, Exploratory Data Analysis, Data Manipulation, Jupyter, Data Processing, Data Wrangling, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming
Skills you'll gain: Data Storage
University of Michigan
Skills you'll gain: Matplotlib, Data Visualization, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Data Presentation, Data Literacy, Graphing, Graphic and Visual Design, Data Manipulation, Python Programming
University of Colorado Boulder
Skills you'll gain: Data Structures, Python Programming, Programming Principles, Code Reusability, Data Access, Computational Logic, Data Management, Computational Thinking, Jupyter, Computer Programming Tools
University of Michigan
Skills you'll gain: Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
In summary, here are 10 of our most popular introduction to data science in python courses
- Expressway to Data Science: Python Programming: University of Colorado Boulder
- Data Mining in Python: University of Michigan
- Data Visualization with Python: IBM
- Introduction to R Programming for Data Science: IBM
- Python for Data Science: Fractal Analytics
- First Steps in Python with Jupyter Notebooks: Coursera
- Python for Data Science (and Version Control with GitHub): Coursera
- Python Data Analytics: Meta
- Data Structures in Python: Google
- Applied Plotting, Charting & Data Representation in Python: University of Michigan
