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  • Cluster Sampling

Results for "cluster sampling"


  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Programming Principles, Electronics, Telecommunications, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    637 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.4
    Rating, 3.4 out of 5 stars
    ·
    102 reviews

    Advanced · Course · 1 - 3 Months

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

    EDUCBA

    Apache Avro & Kafka Data Engineering Projects

    Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Apache Hadoop, Scala Programming, Spring Boot, Development Environment, Apache, JSON, Data Processing, Information Architecture, Live Streaming, Data Transformation, Java, Restful API, Performance Tuning, Software Architecture, Data Validation, System Configuration

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Noise, Vibration & Harshness (NVH) Testing

    Skills you'll gain: Vibrations, Test Engineering, Product Testing, Performance Testing, Human Factors, Engineering Analysis, Digital Signal Processing, Laboratory Testing, Scientific Visualization, Data Integration, Root Cause Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Managing, Describing, and Analyzing Data

    Skills you'll gain: Sampling (Statistics), R (Software), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Probability, Data Manipulation, Histogram

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Alex Genadinik

    Prompt Engineering For New Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Multimodal Prompts, Data Ethics, AI Enablement, Large Language Modeling, Generative AI, Target Audience

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Statistical Modeling, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Speed Up Data Analysis and Presentation Building

    Skills you'll gain: Data Visualization, Data Presentation, Responsible AI, Data Storytelling, Prompt Engineering, Data Analysis, AI Enablement, Oral Expression

    4.8
    Rating, 4.8 out of 5 stars
    ·
    786 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    450 reviews

    Intermediate · Course · 1 - 3 Months

1…111213…52

In summary, here are 10 of our most popular cluster sampling courses

  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Causal Inference: Columbia University
  • Apache Avro & Kafka Data Engineering Projects: EDUCBA
  • Noise, Vibration & Harshness (NVH) Testing: Coursera
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
  • Managing, Describing, and Analyzing Data: University of Colorado Boulder
  • Introduction to Data Engineering: IBM
  • Prompt Engineering For New Professionals: Alex Genadinik
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Speed Up Data Analysis and Presentation Building: Google

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