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    Results for "sampling (statistics)"

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Game Theory II: Advanced Applications

      Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Political Sciences, Economics, Behavioral Economics, Mathematical Theory & Analysis, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      650 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Analysis, SQL, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • 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
      P

      Pearson

      Data Science Fundamentals Part 1: Unit 1

      Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

      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: Preview
      Preview
      N

      Northeastern University

      Foundations for Data Analytics Part 2

      Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Text Mining, Probability Distribution, Data Analysis, Network Analysis, Feature Engineering, Probability, Data Structures, Statistics, Data Visualization, Data Processing, Data Cleansing, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Outbreaks and Epidemics

      Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Public Health, Investigation, Case Studies, Laboratory Testing, Statistical Analysis, Research Methodologies, Statistics, Report Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      764 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      Pearson

      CISA Certified Information Systems Auditor: Unit 1

      Skills you'll gain: Audit Planning, Auditing, Information Assurance, Compliance Auditing, Security Controls, Risk Management Framework, Data Validation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Univariate Time Series Analytics & Modeling with EViews

      Skills you'll gain: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Analysis, Data Analysis Software, Statistical Methods, Plot (Graphics), Statistical Hypothesis Testing

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Quantitative Research

      Skills you'll gain: Surveys, Statistical Hypothesis Testing, Quantitative Research, Statistical Analysis, Marketing Analytics, Market Research, Data Analysis, Marketing, Target Market, Market Analysis, Regression Analysis, Sample Size Determination, Quality Control

      4.4
      Rating, 4.4 out of 5 stars
      ·
      340 reviews

      Intermediate · Course · 1 - 4 Weeks

    1…282930…119

    In summary, here are 10 of our most popular sampling (statistics) courses

    • Six Sigma Yellow Belt: Kennesaw State University
    • Game Theory II: Advanced Applications: Stanford University
    • Getting Started with SAS Programming: SAS
    • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
    • Data Science Fundamentals Part 1: Unit 1: Pearson
    • Machine Learning: Classification: University of Washington
    • Foundations for Data Analytics Part 2: Northeastern University
    • Outbreaks and Epidemics: Johns Hopkins University
    • Applied Machine Learning in Python: University of Michigan
    • CISA Certified Information Systems Auditor: Unit 1: Pearson

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