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    Statistics Courses Online

    Study statistics for data analysis and interpretation. Learn about descriptive statistics, probability, and inferential statistics.

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    Explore the Statistics Course Catalog

    • UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • University of Illinois Urbana-Champaign

      Auditing II: The Practice of Auditing

      Skills you'll gain: Auditing, Internal Controls, Financial Auditing, External Auditing, Generally Accepted Auditing Standards, Audit Planning, Financial Controls, Verification And Validation, Risk Analysis, Business Risk Management, Probability & Statistics

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      269 reviews

      Intermediate · Course · 1 - 3 Months

    • University of California San Diego

      Designing, Running, and Analyzing Experiments

      Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, A/B Testing, Statistical Hypothesis Testing, Data Analysis, UI/UX Research, R Programming, User Experience, Research Design, Human Computer Interaction, Statistical Modeling

      3.6
      Rating, 3.6 out of 5 stars
      ·
      591 reviews

      Intermediate · Course · 1 - 3 Months

    • Kennesaw State University

      Six Sigma Advanced Analyze Phase

      Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Process Analysis, Statistical Methods, Statistical Analysis, Statistics, Data Analysis, Analytical Skills, Variance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      950 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Illinois Urbana-Champaign

      Pattern Discovery in Data Mining

      Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Information Privacy

      4.3
      Rating, 4.3 out of 5 stars
      ·
      325 reviews

      Mixed · Course · 1 - 3 Months

    • IBM

      Relational Database Administration (DBA)

      Skills you'll gain: Database Management, Database Architecture and Administration, Relational Databases, Operational Databases, Database Systems, IBM DB2, MySQL, Performance Tuning, PostgreSQL, Disaster Recovery, Data Storage Technologies, Database Design, System Monitoring, Role-Based Access Control (RBAC), User Accounts, Encryption

      4.4
      Rating, 4.4 out of 5 stars
      ·
      235 reviews

      Intermediate · Course · 1 - 3 Months

    • Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      303 reviews

      Beginner · Specialization · 3 - 6 Months

    • Imperial College London

      Logistic Regression in R for Public Health

      Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Feature Engineering, Statistical Inference, Data Analysis Software, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      363 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Project Network

      Create your e-commerce store with Shopify

      Skills you'll gain: Order Processing, Order Management, Inventory Management System, Inventory Control, Customer Relationship Management, E-Commerce, Web Analytics, Retail Management, Product Management, Content Management Systems, Dashboard

      4.5
      Rating, 4.5 out of 5 stars
      ·
      547 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • IBM

      Generative AI: Elevate Your Data Science Career

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Prompt Engineering, Large Language Modeling, Data Storytelling, Data Modeling, Data Presentation, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Relational Database Design

      Skills you'll gain: Database Design, Database Management Systems, Relational Databases, Database Management, Database Architecture and Administration, Databases, Data Modeling, Data Integrity, Dependency Analysis, Technical Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      294 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Toronto

      Spatial Analysis and Satellite Imagery in a GIS

      Skills you'll gain: Geographic Information Systems, GIS Software, Spatial Analysis, Spatial Data Analysis, Geospatial Mapping, Query Languages, Data Processing, Data Manipulation, Image Analysis, Data Integration

      4.9
      Rating, 4.9 out of 5 stars
      ·
      613 reviews

      Beginner · Course · 1 - 3 Months

    Statistics learners also search

    R Statistics
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    Beginner Statistics
    Free Statistics
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    Statistical Modeling
    1…303132…105

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

    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Auditing II: The Practice of Auditing: University of Illinois Urbana-Champaign
    • Designing, Running, and Analyzing Experiments: University of California San Diego
    • Six Sigma Advanced Analyze Phase: Kennesaw State University
    • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
    • Relational Database Administration (DBA): IBM
    • Precalculus through Data and Modelling: Johns Hopkins University
    • Logistic Regression in R for Public Health: Imperial College London
    • Create your e-commerce store with Shopify: Coursera Project Network
    • Generative AI: Elevate Your Data Science Career: IBM

    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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