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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: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      R: Apply & Analyze K-Means Clustering for Unsupervised ML

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis, Data Manipulation, Data Transformation

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Discover the Art of Prompting

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Large Language Modeling, LLM Application, Content Creation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Generative AI for Sales

      Skills you'll gain: Prompt Engineering, Sales Strategy, Sales Pipelines, AI Personalization, Sales Operations, Responsible AI, Lead Generation, Sales Development, Generative AI Agents, Competitive Analysis, Sales Management, Marketing Automation, Customer Relationship Management (CRM) Software, Account Management, Business Process Automation, Business Intelligence, Workflow Management, Market Analysis, Data-Driven Decision-Making, Forecasting

      4.1
      Rating, 4.1 out of 5 stars
      ·
      28 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Trend Analysis, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Machine Learning, Data Collection, Agentic systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Program Structure and Algorithms Part 2

      Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      AI Foundations with Python: Build & Visualize

      Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      SAS: Apply & Evaluate Poisson & Negative Binomial Models

      Skills you'll gain: SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Predictive Modeling, Statistical Methods, Statistical Hypothesis Testing

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Always Remember the Stakeholder

      Skills you'll gain: Internal Communications, Team Building, Interpersonal Communications, Stakeholder Engagement

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Social Network Analysis in Python

      Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Making Science Reproducible - A Capstone Course

      Skills you'll gain: Version Control, Key Management, YAML

      Advanced · Course · 1 - 4 Weeks

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    1…133134135…693

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

    • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
    • Discover the Art of Prompting: Google
    • Generative AI for Sales: Coursera Instructor Network
    • Computational Social Science: University of California, Davis
    • Program Structure and Algorithms Part 2: Northeastern University
    • AI Foundations with Python: Build & Visualize: EDUCBA
    • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
    • Always Remember the Stakeholder: Google
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Applied Social Network Analysis in Python: University of Michigan

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