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  • Resampling Statistics

Results for "resampling (statistics)"


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Tidying and Importing with R

    Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Capture, Data Pipelines, Data Integration, Personally Identifiable Information, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Linear Regression & Predictive Modeling with SPSS

    Skills you'll gain: Data Presentation, Regression Analysis, Predictive Modeling, Financial Forecasting, Statistical Modeling, Forecasting, Financial Modeling, SPSS, Predictive Analytics, Risk Modeling, Statistical Analysis, Analytics, Scatter Plots, Credit Risk, Microsoft Excel

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Exploratory Analytics Project Ideation

    Skills you'll gain: Exploratory Data Analysis, Project Design, Data Mining, Ideation, Design Thinking, Data Analysis, Analytics, Business Analytics, Business Analysis, Sprint Planning, Unsupervised Learning, Case Studies, Anomaly Detection, Tree Maps

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Python Programming, Linear Algebra, Algorithms, Data Visualization

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    데이터 중심 기업을 위한 비즈니스 지표

    Skills you'll gain: Business Metrics, Business Analytics, Analytics, Business Intelligence, Tableau Software, Case Studies, Cash Flows, Big Data, Key Performance Indicators (KPIs), Spreadsheet Software, Data Analysis, Data-Driven Decision-Making, Web Analytics, Market Share, Database Software, E-Commerce

    Mixed · Course · 1 - 3 Months

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

    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

  • 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, Machine Learning, Feature Engineering, Data Analysis, Data Manipulation, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

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

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Preparing and Aggregating Data for Visualizations using Cloud Dataprep

    Skills you'll gain: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Extract, Transform, Load, Data Analysis, Sampling (Statistics), Course Development

    Beginner · Project · Less Than 2 Hours

  • P

    Packt

    The Simplest Guide™ to Base SAS & Advanced SAS

    Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Sales Analysis with Claude

    Skills you'll gain: Sales Strategy, Sales Process, Sales Enablement, Sales Training, Anthropic Claude, Sales, Sales Development, Sales Management, Data-Driven Decision-Making, Inside Sales, AI Personalization, Customer Analysis, Customer Insights, Customer experience improvement, Market Analysis, Trend Analysis, Analysis

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Tidying and Importing with R: Duke University
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Linear Regression & Predictive Modeling with SPSS: EDUCBA
  • Exploratory Analytics Project Ideation: University of Minnesota
  • 머신 러닝: 회귀 모델: University of Washington
  • 데이터 중심 기업을 위한 비즈니스 지표: Duke University
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Preparing and Aggregating Data for Visualizations using Cloud Dataprep: Google Cloud

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