Results for "open source tools for data science"
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Presentation, Data Analysis, Dashboard Creation, Interactive Data Visualization, No-Code Development, Market Data, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration
Johns Hopkins University
Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization Software, Data Visualization, Visualization (Computer Graphics), Interactive Data Visualization, Scatter Plots, Statistical Visualization, Histogram, Graphic and Visual Design, R Programming, Graphical Tools, R (Software), Data Mapping, Geospatial Information and Technology, Geospatial Mapping, Geographic Information Systems
Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Python Programming
University of Leeds
Skills you'll gain: Jupyter, Programming Principles, Computer Programming Tools, Computer Programming, Python Programming, Software Installation, Data Structures, Data Science
Skills you'll gain: Generative AI, Microsoft Copilot, Generative Model Architectures, Generative Adversarial Networks (GANs), Responsible AI, Data Ethics, Data Security, Information Privacy, Anomaly Detection, Model Evaluation, Data Analysis
Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Analysis, Python Programming
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Plot (Graphics), Data Presentation, Data Visualization Software, R (Software), R Programming, Statistical Reporting, Software Documentation, Web Applications, Hypertext Markup Language (HTML), Package and Software Management
Skills you'll gain: Version Control, GitHub, Jupyter, Git (Version Control System), Generative AI, Software Documentation
Logical Operations
Skills you'll gain: Seaborn, Matplotlib, Data Transformation, Plot (Graphics), Pandas (Python Package), Data Manipulation, Data Visualization Software, NumPy, Data Visualization, Data Analysis, Scatter Plots, Data Science, Jupyter, Graphing, Data Processing, Box Plots, Python Programming, Computer Programming, Computer Programming Tools, Software Development
Skills you'll gain: Model Training, Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Machine Learning Software, Data Preprocessing, Data Analysis, Machine Learning, Predictive Analytics
Coursera
Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming
In summary, here are 10 of our most popular open source tools for data science courses
- Data Science Foundations with No-Code Tools: LearnQuest
- Building Data Visualization Tools: Johns Hopkins University
- Python for Data Analysis: Pandas & NumPy: Coursera
- Mastering Data Analysis with Pandas: Coursera
- Programming for Data Science: University of Leeds
- Generative AI for Data Science with Copilot: Microsoft
- Master Data Analysis with Pandas: Learning Path 1 (Enhanced): Coursera
- Developing Data Products: Johns Hopkins University
- Collaborate and Code: GitHub with Python and Jupyter: Coursera
- Python Data Science: pandas, Matplotlib, and Seaborn: Logical Operations
