Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "data computation software"
Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Data Cleansing, Business Analysis, Data Processing, Predictive Modeling, Data Quality, Data Storytelling, User Feedback, Decision Tree Learning
Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Python Programming, SQL
Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Workflow Management, Data-Driven Decision-Making, Analytical Skills, Data Science, Technical Communication, Communication, Business, Business Workflow Analysis, Project Management, Stakeholder Communications, Professional Networking
University of Michigan
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
- Status: Free
Princeton University
Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Computer Systems, Algorithms, Programming Principles, Computational Logic, Computer Hardware, Java
University of Minnesota
Skills you'll gain: User Story, Agile Software Development, Agile Methodology, Agile Project Management, Scrum (Software Development), Sprint Planning, Software Development Methodologies, Sprint Retrospectives, Backlogs, Continuous Integration, Test Driven Development (TDD), Release Management
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Data Visualization Software, Data Cleansing, Statistical Analysis, Data Manipulation, Package and Software Management, Data Structures
Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, MySQL Workbench, Extract, Transform, Load, Stored Procedure, Data Modeling, Data Structures, SQL, Database Theory, Unix Commands, Relational Databases, Databases, Git (Version Control System), Object Oriented Programming (OOP), Database Management, Unit Testing, Algorithms, Django (Web Framework)
Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Storage Technologies, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, Data Mart, Data Security
DeepLearning.AI
Skills you'll gain: Database Design, Software Documentation, Software Design Patterns, Database Systems, Software Testing, ChatGPT, Technical Documentation, Generative AI, Software Design, Code Review, Software Architecture, Software Systems, System Design and Implementation, Dependency Analysis, Artificial Intelligence, Software Development Tools, OpenAI, Software Development, Natural Language Processing, Debugging
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
In summary, here are 10 of our most popular data computation software courses
- Data Science Methodology: IBM
- Data Visualization with Python: IBM
- Tools for Data Science: IBM
- Foundations of Data Science: Google
- Introduction to Data Science in Python: University of Michigan
- Computer Science: Algorithms, Theory, and Machines: Princeton University
- Agile Software Development: University of Minnesota
- Data Analysis with R Programming: Google
- Meta Database Engineer: Meta
- Introduction to Data Engineering: IBM