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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.


Popular Basic Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Crash Course on Python

    Skills you'll gain: Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    How to Describe Data

    Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Statistical Visualization, Sampling (Statistics), Data Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Epidemiology in Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Data Presentation, Public Health and Disease Prevention, Trend Analysis, Geographic Information Systems, Health Policy, Data Visualization Software, Chronic Diseases, GIS Software, Health Systems, Infectious Diseases, Biostatistics, Risk Analysis, Investigation, Health Care, Community Health, Data Analysis, Program Evaluation, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The State University of New York

    Practical Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    Y

    Yonsei University

    First Step Korean

    Skills you'll gain: Language Competency, Grammar, Writing, Vocabulary, Literacy, Culture

    4.9
    Rating, 4.9 out of 5 stars
    ·
    53K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    Y

    Yale University

    Understanding Medical Research: Your Facebook Friend is Wrong

    Skills you'll gain: Research Design, Medical Science and Research, Statistical Methods, Descriptive Statistics, Data Literacy, Scientific Methods, Clinical Research, Research, Biostatistics, Data Collection, Sampling (Statistics), Medical Terminology, Correlation Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Fundamentos de probabilidad y aplicaciones

    Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science

    Skills you'll gain: Exploratory Data Analysis, Dashboard, Data Visualization Software, Plotly, Data Visualization, Model Evaluation, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Matplotlib, Pandas (Python Package), Data Presentation, Data Science, Data Import/Export, Programming Principles, Web Scraping, Python Programming, Machine Learning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Data Analysis with Spreadsheets and SQL

    Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Statistics, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    282 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Version Control, File Management, Application Deployment, Linux, Software Development Methodologies, Software Design Patterns, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to basic statistics

basic statistics in python (correlations and t-tests)
basic inferential statistics for psychology
rstudio for six sigma - basic descriptive statistics
1…222324…412

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

  • Data Science: Foundations using R: Johns Hopkins University
  • Crash Course on Python: Google
  • How to Describe Data: University of Michigan
  • Epidemiology in Public Health Practice: Johns Hopkins University
  • Practical Time Series Analysis: The State University of New York
  • First Step Korean: Yonsei University
  • Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
  • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
  • Applied Data Science: IBM
  • Data Analysis with Spreadsheets and SQL: Meta

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