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    • Data Cleaning

    Data Cleaning Courses Online

    Learn data cleaning techniques for preparing datasets. Understand how to identify and correct errors, handle missing data, and ensure data quality.

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    Explore the Data Cleaning Course Catalog

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Starweaver

      GenAI Foundations and Prompt Engineering

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI Agents, Enterprise Application Management, ChatGPT, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, LLM Application, Large Language Modeling, Systems Architecture, Application Design, Business Metrics, Program Evaluation, Process Optimization, Performance Tuning, Application Programming Interface (API), Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI and Public Health

      Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      237 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Classification

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Risking, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 2

      Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, OpenAI, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, Case Studies

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 2

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      E

      Edge Impulse

      Introduction to Embedded Machine Learning

      Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      739 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      559 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Introduction to Transformer Models for NLP: Unit 1

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      L

      LearnQuest

      Foundations of Agent-Based AI Systems

      Skills you'll gain: Agentic systems, System Design and Implementation, Artificial Intelligence, Solution Design, Unified Modeling Language, Solution Architecture, Performance Metric, Requirements Analysis, Performance Analysis, Workflow Management, Prototyping, Stakeholder Communications, Business Priorities, Benchmarking

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Inferential Statistics

      Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Statistical Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      603 reviews

      Mixed · Course · 1 - 3 Months

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    1…141142143…693

    In summary, here are 10 of our most popular data cleaning courses

    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
    • GenAI Foundations and Prompt Engineering : Starweaver
    • AI and Public Health: DeepLearning.AI
    • Machine Learning: Classification: University of Washington
    • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
    • Probabilistic Graphical Models: Stanford University
    • Statistical Learning for Engineering Part 2: Northeastern University
    • Introduction to Embedded Machine Learning: Edge Impulse
    • The Nuts and Bolts of Machine Learning: Google
    • Introduction to Transformer Models for NLP: Unit 1: Pearson

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