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Results for "data cleaning and preprocessing for ml"
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science
University of Pennsylvania
Skills you'll gain: Generative AI, Big Data, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing, Automation
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Database Management Systems, Descriptive Statistics
Skills you'll gain: ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, OpenAI, Dashboard, Data Storytelling, Data Visualization Software, Business Analytics, Data Ethics, Artificial Intelligence, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Query Languages, SQL, Software Development Tools, Image Analysis, Technical Communication
Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, IBM DB2, Extract, Transform, Load, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Database Management, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming
Status: AI skillsSkills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Visualization Software, Statistical Inference, Spreadsheet Software, Correlation Analysis, Google Sheets, Exploratory Data Analysis, Data Manipulation
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Analysis, Computational Thinking, Theoretical Computer Science, Network Routing
Johns Hopkins University
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Program Development, Software Installation, Computer Programming, Data Structures, Performance Tuning, Data Import/Export
University of Colorado Boulder
Skills you'll gain: Data Governance, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Data Quality, SQL, Organizational Structure, Cloud Computing, Data Manipulation
University of Michigan
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
In summary, here are 10 of our most popular data cleaning and preprocessing for ml courses
- Algorithms: Stanford University
- AI Fundamentals for Non-Data Scientists: University of Pennsylvania
- Introduction to Probability and Data with R: Duke University
- SQL for Data Science: University of California, Davis
- Generative AI for Business Intelligence (BI) Analysts: IBM
- Data Engineering Foundations: IBM
- Meta Data Analyst: Meta
- Programming for Everybody (Getting Started with Python): University of Michigan
- Graph Search, Shortest Paths, and Data Structures: Stanford University
- R Programming: Johns Hopkins University
