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Results for "swift programming guide"
University of Alberta
Skills you'll gain: Object Oriented Design, Unified Modeling Language, Software Design, Object Oriented Programming (OOP), Java, Maintainability, Software Architecture, Android Development, Conceptual Design
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
Status: NewMultiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Software Development Tools, Data Science, GitHub, Machine Learning Algorithms, Unsupervised Learning
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Scalability, Java Programming, Performance Tuning, Computer Programming, Computer Science
Duke University
Skills you'll gain: Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Front-End Web Development, Computer Programming, Image Analysis, Debugging
Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics
DeepLearning.AI
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Data-Driven Decision-Making
Skills you'll gain: SQL, Web Scraping, Data Transformation, Extract, Transform, Load, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Relational Databases, Data Storage Technologies, Apache Hadoop, Databases, Data Manipulation, Stored Procedure, Database Management, Database Design, Automation, Python Programming
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Strategy, Data Visualization Software, SQL
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Software, Bayesian Statistics, R Programming, Statistical Analysis, Data Analysis, Statistical Modeling, Probability, Statistics, Data Science, Statistical Methods, Descriptive Statistics, Predictive Modeling
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Programming Principles, C (Programming Language), Computer Hardware, Computer Programming, Computer Architecture, Computer Systems, Computational Thinking, Data Structures, Algorithms, File Management, Program Development, Data Storage, Debugging
Johns Hopkins University
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Data Analysis Software, Programming Principles, Data Structures, Computational Thinking, Software Development, Performance Tuning
In summary, here are 10 of our most popular swift programming guide courses
- Object-Oriented Design: University of Alberta
- Applied Data Science with Python: University of Michigan
- Data Science Foundations: IBM
- Parallel programming: École Polytechnique Fédérale de Lausanne
- Programming Foundations with JavaScript, HTML and CSS: Duke University
- Getting Started with SAS Programming: SAS
- Supervised Machine Learning: Regression and Classification : DeepLearning.AI
- Data Engineering Foundations: IBM
- Foundations: Data, Data, Everywhere: Google
- Data Analysis with R: Duke University
