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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

    • IE Business School

      Riesgos y oportunidades empresariales en una economía globalizada

      Skills you'll gain: Economics, Financial Policy, Economic Development, Trend Analysis, Global Marketing, Business Economics, International Relations, Analysis, Socioeconomics, Business Risk Management, Public Policies, Business Strategies, World History, Investments

      4.9
      Rating, 4.9 out of 5 stars
      ·
      99 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      Microsoft

      Data Analysis and Visualization with Python

      Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning

      4
      Rating, 4 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      University of Pennsylvania

      Calculus: Single Variable Part 4 - Applications

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability & Statistics, Geometry, Probability, Advanced Mathematics, Torque (Physics), Statistics, Mechanics, Mathematical Modeling, Physics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 3 Months

    • 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
      ·
      14 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New

      University of Michigan

      Green Skills for a Sustainable and Just Future

      Skills you'll gain: Social Justice, Geographic Information Systems, Organizational Change, Environmental Policy, Sustainability Reporting, Environmental Issue, Environmental Regulations, Geospatial Mapping, Culture Transformation, Spatial Data Analysis, Environmental Social And Corporate Governance (ESG), Strategic Leadership, Organizational Strategy, Corporate Sustainability, Spatial Analysis, Organizational Leadership, Systems Thinking, Interactive Data Visualization, Health Equity, Environmental Laws

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Specialization · 3 - 6 Months

    • University of California, Irvine

      Database Design and Operational Business Intelligence

      Skills you'll gain: Extract, Transform, Load, Decision Support Systems, Data Warehousing, Data Mining, Database Design, Business Intelligence, Dashboard, Star Schema, Relational Databases, Database Management, Data Visualization Software, Snowflake Schema, Business Reporting, Database Management Systems, SAS (Software), Data Modeling, Interactive Data Visualization, SQL, Data Mart, Data Storytelling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      226 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free

      Coursera Project Network

      Crea y diseña productos digitales en Canva

      Skills you'll gain: Canva (Software), Design, Digital Design, Design Elements And Principles, Product Design, Graphic and Visual Design Software, Digital Assets, Intellectual Property, Web Analytics, Journals

      4.5
      Rating, 4.5 out of 5 stars
      ·
      409 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      National Taiwan University

      頑想學概率:機率一 (Probability (1))

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      360 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New

      Genentech

      Data Science with Real World Data in Pharma

      Skills you'll gain: Pharmaceuticals, Clinical Research, Clinical Trials, Statistical Analysis, Real Time Data, Data Analysis, Statistical Methods, Biostatistics, Data Science, Epidemiology, Health Informatics, Healthcare Industry Knowledge, Data Quality

      Intermediate · Course · 1 - 3 Months

    • University of Colorado Boulder

      Trees and Graphs: Basics

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Analysis, Computational Thinking, Network Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      156 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New

      Edureka

      Applied Data Analytics

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Visualization, Exploratory Data Analysis, Matplotlib, Data Visualization Software, Web Scraping, Probability Distribution, Predictive Modeling, Seaborn, Statistical Visualization, SQL, Plotly, Interactive Data Visualization, Statistical Inference, Pandas (Python Package), Database Management, Data Presentation, Data Analysis, Databases

      3.9
      Rating, 3.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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
      ·
      34 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…495051…105

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

    • Riesgos y oportunidades empresariales en una economía globalizada: IE Business School
    • Data Analysis and Visualization with Python: Microsoft
    • Calculus: Single Variable Part 4 - Applications: University of Pennsylvania
    • Building Your Audience for Music Professionals: GRAMMY GO
    • Green Skills for a Sustainable and Just Future: University of Michigan
    • Database Design and Operational Business Intelligence: University of California, Irvine
    • Crea y diseña productos digitales en Canva: Coursera Project Network
    • 頑想學概率:機率一 (Probability (1)): National Taiwan University
    • Data Science with Real World Data in Pharma: Genentech
    • Trees and Graphs: Basics: University of Colorado Boulder

    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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