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  • Basic Statistics

Basic Statistics Courses

Basic Statistics courses can help you learn data collection methods, descriptive statistics, probability distributions, and hypothesis testing. You can build skills in interpreting data sets, conducting surveys, and performing regression analysis. Many courses introduce tools like Excel, R, and Python, that support analyzing data and visualizing results. By applying these skills and tools, you can effectively communicate findings and make informed decisions based on statistical evidence.


More to explore:

Popular Basic Statistics Courses and Certifications


  • Status: Preview
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    T

    The State University of New York

    Ignite Your Everyday Creativity

    Skills you'll gain: Creative Problem-Solving, Creativity, Creative Thinking, Ingenuity, Innovation, Problem Solving, Cognitive flexibility, Curiosity, Open Mindset, Recognizing Others, Adaptability, Self-Awareness, Dealing With Ambiguity

    4.4
    Rating, 4.4 out of 5 stars
    ·
    310 reviews

    Mixed · Course · 1 - 3 Months

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    M

    Moderna

    mRNAs as Medicines

    Skills you'll gain: Molecular Biology, Biomedical Technology, Pharmacology, Biochemistry, Biotechnology, Biology, Immunology, Precision Medicine, Pharmaceuticals, Cell Biology, Emerging Technologies, Medical Science and Research, Oncology

    4.8
    Rating, 4.8 out of 5 stars
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    85 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 2: Filtering

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Electrical and Computer Engineering, Telecommunications, Electronics, Engineering Analysis, Numerical Analysis, Data Mapping, Real Time Data, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    194 reviews

    Intermediate · Course · 1 - 4 Weeks

  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Programming

    Skills you'll gain: C (Programming Language), Computer Programming, Computational Thinking, Data Structures, Algorithms, Operating Systems, File Systems, Computer Hardware, Debugging, Data Management

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    R Programming Essentials with Microsoft Tools

    Skills you'll gain: Version Control, Software Documentation, Microsoft Copilot, Microsoft Visual Studio, Program Development, Statistical Analysis, Descriptive Statistics, Statistical Programming, Debugging

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Q

    Queen Mary University of London

    Analysis and Interpretation of Data

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Data Quality, Probability & Statistics, Statistical Methods, Digital Marketing, Exploratory Data Analysis, Logistic Regression, Market Research, Data Preprocessing, Return On Investment

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of California San Diego

    Introduction to Seaweeds

    Skills you'll gain: Environmental Science, Biology, Environment and Resource Management, Biotechnology, Product Development, Food and Beverage, Water Resource Management, Biochemistry, Taxonomy, Anatomy

    4.8
    Rating, 4.8 out of 5 stars
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    76 reviews

    Intermediate · Course · 1 - 3 Months

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    S

    Siemens

    Introduction to Model-Based Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Unified Modeling Language, Systems Engineering, Systems Design, Software Systems, Systems Architecture, Systems Analysis, Product Lifecycle Management, System Requirements, Requirements Analysis, Verification And Validation, Cloud Computing

    4.1
    Rating, 4.1 out of 5 stars
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    69 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Dealing With Missing Data

    Skills you'll gain: Sampling (Statistics), Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Statistical Modeling, R Programming, Regression Analysis, Data Analysis

    3.8
    Rating, 3.8 out of 5 stars
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    138 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Data Analysis, Model Evaluation, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Predictive Modeling, Feature Engineering, Data Preprocessing, Bayesian Statistics, Probability & Statistics

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Science at Scale - Capstone Project

    Skills you'll gain: Feature Engineering, Model Evaluation, Data Analysis, Predictive Modeling, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Preprocessing, Predictive Analytics, Data Integration, Data Collection, Applied Machine Learning, R Programming, Research, Data Validation, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
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    25 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Portfolio Optimization using Markowitz Model

    Skills you'll gain: Portfolio Management, Portfolio Risk, Financial Modeling, Correlation Analysis, Investment Management, Financial Analysis, Risk Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    328 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Ignite Your Everyday Creativity: The State University of New York
  • mRNAs as Medicines: Moderna
  • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
  • Introduction to Programming: Birla Institute of Technology & Science, Pilani
  • R Programming Essentials with Microsoft Tools: Microsoft
  • Analysis and Interpretation of Data: Queen Mary University of London
  • Introduction to Seaweeds: University of California San Diego
  • Introduction to Model-Based Systems Engineering: Siemens
  • Dealing With Missing Data: University of Maryland, College Park
  • Classification Analysis: University of Colorado Boulder

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