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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.


Popular Applied Statistics Courses and Certifications


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

    Simplilearn

    Measuring and Analyzing Process Performance Training

    Skills you'll gain: Process Capability, Lean Six Sigma, Root Cause Analysis, Statistics, Process Mapping, Process Analysis, Performance Measurement, Statistical Methods, Statistical Process Controls, Descriptive Statistics, Probability & Statistics, Process Improvement, Statistical Analysis, Failure Mode And Effects Analysis, Risk Analysis, Systems Of Measurement

    Beginner · Course · 1 - 4 Weeks

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

    Arizona State University

    Modern Statistical Computing and Regression Modeling in R

    Skills you'll gain: Data Storage Technologies, Statistics, Data Storage, Database Software, Statistical Hypothesis Testing, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Tools for Analyze

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Process Analysis, Probability Distribution, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Systems Of Measurement, Data Analysis, Statistical Methods, Probability, Statistics, Risk Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Vision Models: Train and Evaluate

    Skills you'll gain: Failure Analysis, Deep Learning, Applied Machine Learning, Data Pipelines, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
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    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    P

    Packt

    Python Programming and Data Science Foundations for AI

    Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization

    4.7
    Rating, 4.7 out of 5 stars
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    7.6K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
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    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
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    DeepLearning.AI

    DeepLearning.AI Data Analytics

    Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, LinkedIn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    253 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    Coursera

    Balance and Analyze Image Segmentation

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular applied statistics courses

  • Measuring and Analyzing Process Performance Training : Simplilearn
  • Modern Statistical Computing and Regression Modeling in R: Arizona State University
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Six Sigma Tools for Analyze: Kennesaw State University
  • Vision Models: Train and Evaluate: Coursera
  • The Data Scientist’s Toolbox: Johns Hopkins University
  • Python Programming and Data Science Foundations for AI: Packt
  • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • DeepLearning.AI Data Analytics: DeepLearning.AI

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