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    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Chat with Your Data: Generative AI-Powered SQL Data Analysis

      Skills you'll gain: SQL, Generative AI, Data Visualization, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making, Exploratory Data Analysis, ChatGPT, Prompt Engineering, Databases

      5
      Rating, 5 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Principal Component Analysis with NumPy

      Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      295 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Data Analysis, Interactive Data Visualization, Data Import/Export, Data Visualization

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Strategic Thinking

      Skills you'll gain: Strategic Thinking, Strategic Decision-Making, Systems Thinking, Strategic Planning, Business Strategy, Complex Problem Solving, Decision Making, Analysis, Trend Analysis, Competitive Analysis, Risk Analysis, Data-Driven Decision-Making, Market Intelligence, Performance Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      47 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Analíticas de Marketing Digital

      Skills you'll gain: Web Analytics, Google Analytics, Web Analytics and SEO, Social Media, Search Engine Marketing, Social Media Marketing, Marketing Analytics, Market Research, Digital Marketing, Search Engine Optimization, Marketing Effectiveness, Content Performance Analysis, Analytical Skills, Online Advertising, Social Media Strategy, Email Marketing, Analytics, Business Metrics, Key Performance Indicators (KPIs), Facebook

      4.7
      Rating, 4.7 out of 5 stars
      ·
      218 reviews

      Intermediate · Specialization · 1 - 3 Months

    • E

      Edureka

      Introduction to PySpark

      Skills you'll gain: PySpark, Apache Spark, Distributed Computing, Big Data, Apache Hadoop, Data Processing, Data Manipulation, Exploratory Data Analysis, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Data Science Techniques

      Skills you'll gain: Time Series Analysis and Forecasting, Statistical Analysis, Machine Learning Algorithms, Data Analysis, Data Visualization, Exploratory Data Analysis, Data Presentation, Data Science, Statistical Programming, Statistical Machine Learning, Statistical Reporting, Statistical Methods, Data Cleansing, Forecasting, Applied Machine Learning, Analytics, R Programming, Machine Learning, Regression Analysis, Statistical Modeling

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      14 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      GRAMMY GO

      Building Your Audience for Music Professionals

      Skills you'll gain: Marketing Budgets, Digital Media Strategy, Professional Networking, Content Strategy, Promotional Strategies, Branding, Marketing Analytics, Brand Strategy, Brand Awareness, Budget Management, Marketing Design, Customer Engagement, Content Marketing, Target Audience, Digital Marketing, Marketing Strategies, Trend Analysis, Social Media Marketing, Resilience, Customer Insights

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Improve Phase for the 6 σ Black Belt

      Skills you'll gain: Lean Methodologies, Lean Six Sigma, Six Sigma Methodology, Performance Measurement, Process Improvement, Continuous Improvement Process, Process Analysis, Statistical Methods, Statistical Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      134 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Machine Learning for Marketing

      Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Google Analytics, Search Engine Optimization, Applied Machine Learning, Data Ethics, Data Mining, Customer Insights

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to statistics

    statistics with python
    statistics for data science
    statistics for business
    statistics for data analysis
    statistics with r
    statistics in psychological research
    statistics for data science with python
    statistics and data analysis with excel, part 1
    1…525354…107

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

    • Chat with Your Data: Generative AI-Powered SQL Data Analysis: Vanderbilt University
    • Principal Component Analysis with NumPy: Coursera Project Network
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • Strategic Thinking: Arizona State University
    • Analíticas de Marketing Digital: Tecnológico de Monterrey
    • Introduction to PySpark: Edureka
    • Introduction to Data Science Techniques: Illinois Tech
    • Building Your Audience for Music Professionals: GRAMMY GO
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • The Improve Phase for the 6 σ Black Belt: Kennesaw State University

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

    Frequently Asked Questions about Statistics

    Top statistics courses include Introduction to Statistics from Stanford University, Business Statistics and Analysis from Rice University, and Statistics with Python from the University of Michigan. These courses cover descriptive statistics, probability, hypothesis testing, and statistical modeling.‎

    Yes. Many statistics courses offer a free audit option, allowing you to access video lessons and reading materials without payment. If you want to complete assignments or earn a certificate, you’ll need to pay or apply for financial aid.‎

    You’ll learn how to collect, interpret, and present data; calculate key metrics like mean and standard deviation; and apply statistical techniques such as regression analysis, probability distributions, and confidence intervals. Some courses also include hands-on practice with Excel, R, or Python.‎

    Not necessarily. Many Coursera statistics courses are designed for beginners and explain core concepts step by step. Some basic comfort with numbers is helpful, but you don’t need advanced math experience to get started.‎

    Yes. Statistics is essential in fields like business, healthcare, data science, psychology, and research. Learning statistics on Coursera can help you analyze data, make informed decisions, and gain skills that are valuable in both academic and professional settings.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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