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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

    • S

      Splunk Inc.

      Splunk Search Expert 101

      Skills you'll gain: Splunk, Data Visualization Software, Dashboard, Security Information and Event Management (SIEM), Ad Hoc Reporting, Exploratory Data Analysis, Data Processing, Query Languages, Analysis, Incident Response, Business Process Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      212 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Genomic Data Science and Clustering (Bioinformatics V)

      Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Molecular Biology, Data Mining, Machine Learning, Data Analysis Software, Life Sciences, Algorithms, Exploratory Data Analysis, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      The Define Phase for the 6 σ Black Belt

      Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Analysis, Process Improvement, Project Documentation, Quality Improvement, Process Capability, Customer Analysis, Continuous Quality Improvement (CQI), Project Management, Business Process

      4.4
      Rating, 4.4 out of 5 stars
      ·
      95 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      Digital Twins

      Skills you'll gain: Manufacturing Operations, Production Planning, Digital Transformation, Technology Strategies, Business Modeling, Technology Roadmaps, Business Transformation, Product Lifecycle Management, Internet Of Things, Simulation and Simulation Software, Emerging Technologies, Real Time Data, Trend Analysis, Risk Analysis, Systems Integration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Finding Mutations in DNA and Proteins (Bioinformatics VI)

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Machine Learning Methods, Computational Thinking, Algorithms, Computer Programming Tools, Data Structures, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      709 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Forecasting Financial Statements & Valuation for Accountants

      Skills you'll gain: Financial Forecasting, Financial Statement Analysis, Financial Accounting, Business Valuation, Financial Statements, Cash Flow Forecasting, Financial Analysis, Financial Modeling, Balance Sheet, Generally Accepted Accounting Principles (GAAP), Trend Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      Tecnológico de Monterrey

      Tecnologías para la Innovación Educativa

      Skills you'll gain: Education Software and Technology, Pedagogy, Technology Solutions, Learning Management Systems, Emerging Technologies, Innovation, Technology Strategies, Higher Education, Solution Design, Trend Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      249 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Creating a Free Business Page with Blogger

      Skills you'll gain: Blogs, Google Analytics, Web Analytics, Promotional Strategies, Customer Engagement, Social Media, Content Marketing, Content Creation, Content Management Systems, Business Writing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      207 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Pontificia Universidad Católica de Chile

      Python para Ciencia de Datos

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Data Processing, Trend Analysis, Forecasting, Data Manipulation, Python Programming

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Linear Regression

      Skills you'll gain: Regression Analysis, R Programming, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Probability & Statistics, Linear Algebra

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to statistics

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    statistics for data science with python
    statistics with python
    statistics for data analysis
    statistics foundations
    statistics and data analysis with excel, part 1
    statistics in psychological research
    1…424344…106

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

    • Splunk Search Expert 101: Splunk Inc.
    • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
    • The Define Phase for the 6 σ Black Belt: Kennesaw State University
    • Digital Twins: University of Michigan
    • Finding Mutations in DNA and Proteins (Bioinformatics VI): University of California San Diego
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Forecasting Financial Statements & Valuation for Accountants: University of Illinois Urbana-Champaign
    • Tecnologías para la Innovación Educativa: Tecnológico de Monterrey
    • Creating a Free Business Page with Blogger: Coursera Project Network
    • Python para Ciencia de Datos: Pontificia Universidad Católica de Chile

    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

    Statistics courses on Coursera can help equip you with analytical skills and mathematical knowledge to effectively interpret data:

    • Understanding of statistical theory, including probability, distributions, and hypothesis testing.
    • Skills in applying statistical methods to real-world problems across various industries.
    • Proficiency in using statistical software tools like R, Python, or SPSS to analyze and visualize data.
    • Techniques for designing experiments and surveys to collect data efficiently.
    • Knowledge of regression analysis, ANOVA, and other statistical models.
    • Insights into big data analytics, including machine learning algorithms driven by statistical principles.
    • Application of statistics in specialized fields such as biostatistics, econometrics, or psychological statistics.‎

    Statistics courses on Coursera are designed to accommodate learners at different stages of their educational or professional journey:

    • Introductory courses are suitable for those new to statistics, offering foundational knowledge and basic application skills.
    • Intermediate courses build upon basic statistics knowledge, introducing more complex analyses and applications.
    • Advanced courses cater to individuals with a solid background in statistics, focusing on specialized topics or advanced analytical techniques. ‎

    Coursera provides various educational pathways to help validate your skills in statistics:

    • Professional certificates that can help you demonstrate your competence in statistical analysis.
    • Specialized course certificates that focus on particular aspects of statistics, such as data science or predictive analytics.
    • Degree programs and professional qualifications that prepare you for roles involving extensive use of statistics.

    These credentials are intended to enhance your professional qualifications and assist you in advancing your career in fields reliant on statistical analysis.‎

    Studying statistics on Coursera can prepare you for a variety of roles in data-intensive sectors:

    • Data Analyst: Utilize statistical tools and methods to interpret data and inform business decisions.
    • Statistical Consultant: Provide expertise to organizations on statistical methods, data collection, and analysis.
    • Biostatistician: Apply statistics to biological sciences and public health.
    • Econometrician: Use statistical techniques to study economic data and trends.
    • Quality Control Analyst: Implement statistical methods to assess product quality and maintain standards.‎

    Yes, Coursera offers a variety of free courses across many topics, including statistics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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