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Results for "data cleaning and preprocessing for ml"
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
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: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Machine Learning, Probability & Statistics, Jupyter, Pandas (Python Package), Artificial Intelligence
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, IBM DB2, Data Visualization, Relational Databases, Dashboard, Stored Procedure, Data Architecture
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Analysis, Computational Thinking, Theoretical Computer Science, Network Routing
Skills you'll gain: Analytics, Business Analytics, Data Analysis, Microsoft PowerPoint, Data Presentation, Presentations, Excel Formulas, Data-Driven Decision-Making, Dashboard, Data Storytelling, Business Intelligence, Microsoft Excel, Customer Analysis, Data Visualization, Data Visualization Software, Big Data, Target Market, Data Cleansing, Public Speaking, Spreadsheet Software
Status: FreeDuke University
Skills you'll gain: Probability, Bayesian Statistics, Calculus, Graphing, Data Science, Algebra, Arithmetic, Derivatives
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
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
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
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Predictive Analytics, Feature Engineering, Data Processing, Data Cleansing, Application Deployment, Exploratory Data Analysis
Macquarie University
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation
In summary, here are 10 of our most popular data cleaning and preprocessing for ml courses
- Programming for Everybody (Getting Started with Python): University of Michigan
- Generative AI for Business Intelligence (BI) Analysts: IBM
- Exploratory Data Analysis for Machine Learning: IBM
- IBM Data Warehouse Engineer: IBM
- Graph Search, Shortest Paths, and Data Structures: Stanford University
- Data Analysis and Presentation Skills: the PwC Approach: PwC
- Data Science Math Skills: Duke University
- Introduction to Data Analytics for Business: University of Colorado Boulder
- Meta Data Analyst: Meta
- Algorithms: Stanford University
