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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

      Universiteit Leiden

      Population Health: Responsible Data Analysis

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Statistical Modeling, Data Cleansing, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • Università di Napoli Federico II

      English Upper Intermediate B2.1

      Skills you'll gain: English Language, Language Competency, Intercultural Competence, Interpersonal Communications, Nutrition and Diet, Vocabulary, Culture, Trend Analysis, Environmental Issue, Grammar, Education and Training, Oral Comprehension, Social Justice

      4.5
      Rating, 4.5 out of 5 stars
      ·
      45 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      DeepLearning.AI

      Python for Data Analytics

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

      Beginner · Course · 1 - 3 Months

    • University at Buffalo

      Computer Vision Basics

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Data Processing, Digital Design, Artificial Intelligence, Matlab, Linear Algebra, Algorithms, Calculus, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Universidad de los Andes

      Introducción a la ciencia de datos aplicada

      Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      398 reviews

      Beginner · Course · 1 - 4 Weeks

    • CertNexus

      CertNexus Certified Data Science Practitioner

      Skills you'll gain: Extract, Transform, Load, Data Analysis, Jupyter, Data Visualization, Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Exploratory Data Analysis, Machine Learning, Analytical Skills, Data Manipulation, Data Cleansing, Data Processing, Stakeholder Engagement, Project Scoping, Data Presentation, Business Priorities, Classification And Regression Tree (CART), Stakeholder Management, Business Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Caltech

      Pricing Options with Mathematical Models

      Skills you'll gain: Derivatives, Financial Market, Risk Modeling, Mathematical Modeling, Financial Modeling, Credit Risk, Risk Management, Portfolio Management, Probability, Differential Equations, Applied Mathematics, Probability Distribution, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Coursera Project Network

      Improve Business Performance with Google Forms

      Skills you'll gain: Google Sheets, Data Visualization, User Feedback, Customer experience improvement, Employee Surveys, Spreadsheet Software, Customer Insights, Customer Analysis, Customer Service, Customer Relationship Management, Google Workspace, Trend Analysis, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      558 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Illinois Tech

      Digital Marketing

      Skills you'll gain: Pay Per Click Advertising, Digital Marketing, Web Analytics, Email Marketing, Paid media, Digital Advertising, Google Ads, Social Media Campaigns, Marketing Strategies, Online Advertising, Social Media Marketing, Google Analytics, Web Analytics and SEO, Web Design and Development, Marketing, Marketing Analytics, Search Engine Optimization, Social Media, Campaign Management, Search Engine Marketing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      35 reviews

      Advanced · Course · 1 - 3 Months

    • Imperial College London

      Global Disease Masterclass: Global Disease Distribution

      Skills you'll gain: Epidemiology, Health Disparities, Public Health, Infectious Diseases, Health Systems, Health Policy, Socioeconomics, Health Assessment, Chronic Diseases, Statistical Analysis, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      121 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Regression Analysis, Classification And Regression Tree (CART), Statistical Methods, Data Science, Decision Tree Learning, Predictive Modeling, Statistical Analysis, Artificial Neural Networks, Supervised Learning, Probability & Statistics, Dimensionality Reduction, Advanced Analytics, Random Forest Algorithm, Machine Learning, Sampling (Statistics), Statistical Inference

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

    • University of Michigan

      Data Collection: Online, Telephone and Face-to-face

      Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Data Capture, Qualitative Research, Data Validation, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      345 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…383940…105

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

    • Population Health: Responsible Data Analysis: Universiteit Leiden
    • English Upper Intermediate B2.1: Università di Napoli Federico II
    • Python for Data Analytics: DeepLearning.AI
    • Computer Vision Basics: University at Buffalo
    • Introducción a la ciencia de datos aplicada: Universidad de los Andes
    • CertNexus Certified Data Science Practitioner: CertNexus
    • Pricing Options with Mathematical Models: Caltech
    • Improve Business Performance with Google Forms: Coursera Project Network
    • Digital Marketing: Illinois Tech
    • Global Disease Masterclass: Global Disease Distribution: Imperial College London

    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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