Statistical Analysis

Statistical Analysis is the collection, interpretation, presentation, and modeling of data to uncover patterns and trends. Coursera's Statistical Analysis catalogue educates you on the methods used to analyze and interpret data in various fields such as science, business, healthcare, and social sciences. You'll learn to employ statistical techniques such as regression analysis, variance analysis, time series analysis, hypothesis testing, and more. You'll also gain proficiency in statistical software and languages like R, Python, and SPSS, enabling you to derive meaningful insights from complex data sets and make evidence-based decisions.
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Explore the Statistical Analysis Course Catalog

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Decision Making, Graphing

    4.8
    Rating, 4.8 out of 5 stars
    1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Data Science, R Programming, Probability & Statistics, Supervised Learning, Machine Learning, Applied Machine Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview

    Duke University

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution

    Beginner · Course · 1 - 3 Months

  • Status: Preview

    Ball State University

    Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Coursera

    Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Hypothesis Testing, Business Analytics, Data-Driven Decision-Making, Data Visualization, Business Analysis, Statistical Analysis, Analytics, Data Analysis, Correlation Analysis, Case Studies, Probability & Statistics, Variance Analysis, Forecasting, Data Manipulation, Quality Control

    4.7
    Rating, 4.7 out of 5 stars
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    CertNexus

    Skills you'll gain: Data Analysis, Data Visualization, Statistical Analysis, Exploratory Data Analysis, Business Analytics, Analytical Skills, Trend Analysis, Data Processing, Data Transformation, Descriptive Statistics, Data Cleansing, Histogram, Scatter Plots

    4.8
    Rating, 4.8 out of 5 stars
    20 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Process Capability, Descriptive Statistics, Statistical Analysis, Quantitative Research, Probability & Statistics, Data Analysis, Analysis, R (Software), Exploratory Data Analysis, Systems Of Measurement, Data Quality, R Programming, Regression Analysis, Statistical Methods, Verification And Validation, Continuous Monitoring, Statistical Hypothesis Testing

    4.2
    Rating, 4.2 out of 5 stars
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Programming Principles, Jupyter, Python Programming, Regression Analysis, Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    EDUCBA

    Skills you'll gain: Splunk, Dashboard, Data Transformation, Data Manipulation, Data Analysis, Statistical Analysis, Query Languages, Data Visualization Software, Ad Hoc Reporting, Real Time Data, Continuous Monitoring

    4.9
    Rating, 4.9 out of 5 stars
    139 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Visualization, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Analysis, Looker (Software), Web Scraping, Data Transformation, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    1.3K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial

    University of Washington

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm

    4.1
    Rating, 4.1 out of 5 stars
    322 reviews

    Mixed · Course · 1 - 4 Weeks