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Results for "data cleaning and preprocessing for ml"
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
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Jupyter, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming
Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, OpenAI, Workflow Management, Deep Learning, Business Workflow Analysis, Artificial Neural Networks, Governance, Machine Learning, Application Deployment, Business Transformation, IBM Cloud, Business Technologies, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Computer Vision, Business Logic, Software Development Tools, Image Analysis
University of California, Davis
Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Pipelines, Databricks, JSON, Statistical Analysis, Query Languages, Data Manipulation
- Status: Free
Coursera Project Network
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining
DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
- Status: Free
Stanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution, Correlation Analysis
- Status: Free
Vanderbilt University
Skills you'll gain: Clinical Data Management, Data Capture, Clinical Research, Data Management, Data Collection, Data Sharing, Data Strategy, Data Quality, Sampling (Statistics), Data Storage, Regulatory Compliance
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Big Data, Ggplot2, Database Design, Data Analysis, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
- Status: Free
Duke University
Skills you'll gain: Probability, Bayesian Statistics, Calculus, Graphing, Data Science, Algebra, Arithmetic, Derivatives
Google
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Probability & Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Advanced Analytics, Analytics, Statistics, Statistical Inference, Probability, Statistical Programming, A/B Testing, Python Programming
In summary, here are 10 of our most popular data cleaning and preprocessing for ml courses
- Tools for Data Science: IBM
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- AI Foundations for Everyone: IBM
- Learn SQL Basics for Data Science: University of California, Davis
- Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Introduction to Statistics: Stanford University
- Data Management for Clinical Research: Vanderbilt University
- Data Science: Johns Hopkins University
- IBM Data Analytics with Excel and R: IBM