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    • Statistics

    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

    • Status: Free
      Free

      Universidad Austral

      Cómo Invertir en Cripto

      Skills you'll gain: Technical Analysis, Digital Assets, Investments, Financial Trading, Blockchain, Portfolio Management, Market Trend, Financial Analysis, Market Data, Asset Management, FinTech, Trend Analysis, Data Mining, Operating Cost, Operating Expense, Risk Management, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Algebra: Elementary to Advanced - Polynomials and Roots

      Skills you'll gain: Algebra, Advanced Mathematics, General Mathematics, Applied Mathematics, Analytical Skills, Mathematical Modeling, Geometry, Graphing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 3 Months

    • CertNexus

      Detect and Mitigate Ethical Risks

      Skills you'll gain: Data Ethics, Accountability, Risk Management, Operational Risk, Risk Analysis, Business Risk Management, Information Privacy, Risk Mitigation, Safety and Security, Ethical Standards And Conduct, Artificial Intelligence, Stakeholder Engagement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      91 reviews

      Beginner · Course · 1 - 3 Months

    • Coursera Project Network

      NLP: Twitter Sentiment Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Applied Machine Learning, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      366 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • University of Maryland, College Park

      PMP Exam Prep Certification Training

      Skills you'll gain: Stakeholder Management, Project Coordination, Stakeholder Engagement, Resource Planning, Conflict Management, Stakeholder Communications, Compliance Management, Team Motivation, Project Management, Trend Analysis, Project Scoping, Project Management Institute (PMI) Methodology, Earned Value Management, Project Controls, Agile Methodology, Agile Project Management, Project Management Life Cycle, Organizational Skills, Quality Management, Regulatory Compliance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      27 reviews

      Beginner · Specialization · 3 - 6 Months

    • University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      186 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Toronto

      GIS, Mapping, and Spatial Analysis Capstone

      Skills you'll gain: Spatial Analysis, Geographic Information Systems, Geospatial Mapping, ArcGIS, Data Visualization, Data Compilation, Data Mapping, Data Storytelling, Metadata Management, Data Integration, Data Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      310 reviews

      Beginner · Course · 1 - 3 Months

    • Duke University

      Think Again III: How to Reason Inductively

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Probability, Sampling (Statistics), Statistics, Correlation Analysis, Scientific Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      389 reviews

      Beginner · Course · 1 - 3 Months

    • Coursera Project Network

      Fake News Detection with Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Matplotlib, Data Cleansing, Data Import/Export, Data Analysis, Natural Language Processing, Data Processing, Data Manipulation, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      257 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      Columbia University

      Causal Inference

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Estimation, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Program Evaluation, Decision Making

      3.4
      Rating, 3.4 out of 5 stars
      ·
      98 reviews

      Advanced · Course · 1 - 3 Months

    • Rutgers the State University of New Jersey

      Demand Analytics

      Skills you'll gain: Demand Planning, Data Collection, Forecasting, Supply Chain Planning, Statistical Modeling, Data Processing, Market Dynamics, Time Series Analysis and Forecasting, Trend Analysis, Regression Analysis, Exploratory Data Analysis, Data Validation, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      289 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Renewable Energy Futures

      Skills you'll gain: Energy and Utilities, Electrical Power, Electrical Systems, Electric Power Systems, Market Dynamics, Emerging Technologies, Market Trend, Trend Analysis, Market Opportunities, Environmental Issue, Forecasting, Mathematical Modeling, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      231 reviews

      Beginner · Course · 1 - 3 Months

    Statistics learners also search

    R Statistics
    Statistics for Data Science
    Statistics for Data Analysis
    Applied Statistics
    Beginner Statistics
    Free Statistics
    Predictive Modeling
    Statistical Modeling
    1…373839…105

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

    • Cómo Invertir en Cripto: Universidad Austral
    • Algebra: Elementary to Advanced - Polynomials and Roots: Johns Hopkins University
    • Detect and Mitigate Ethical Risks: CertNexus
    • NLP: Twitter Sentiment Analysis: Coursera Project Network
    • PMP Exam Prep Certification Training: University of Maryland, College Park
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • GIS, Mapping, and Spatial Analysis Capstone: University of Toronto
    • Think Again III: How to Reason Inductively: Duke University
    • Fake News Detection with Machine Learning: Coursera Project Network
    • Causal Inference: Columbia University

    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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