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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

    • U

      University of Michigan

      Measuring Total Data Quality

      Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      PMP Exam Prep: Gaining Business Acumen for Project Managers

      Skills you'll gain: Compliance Management, Stakeholder Engagement, Trend Analysis, Project Management Institute (PMI) Methodology, Regulatory Compliance, Change Management, Organizational Strategy, Market Trend, Business Priorities, Project Performance, Project Management, Timelines, Scope Management, Risk Management

      Beginner · Course · 1 - 3 Months

    • U

      University of Science and Technology of China

      信息社会的机遇和挑战

      Skills you'll gain: Lifelong Learning, Learning Strategies, Adaptability, Personal Development, Self-Awareness, Social Studies, Trend Analysis, Emerging Technologies, Open Mindset, Technology Solutions, Innovation, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Mixed · Course · 1 - 4 Weeks

    • N

      Northeastern University

      An Overview of the U.S. Healthcare System

      Skills you'll gain: Health Systems, Healthcare Industry Knowledge, Health Care Administration, Health Care, Primary Care, Health Policy, Health Equity, Consumer Behaviour, Health Technology, Cultural Diversity, Telehealth, Economics, Trend Analysis

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Pivot Tables in Google Sheets

      Skills you'll gain: Google Sheets, Pivot Tables And Charts, Spreadsheet Software, Data Analysis, Collaborative Software, Descriptive Statistics, Data Presentation, Data Manipulation

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Perform exploratory data analysis on retail data with Python

      Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Matplotlib, Data Manipulation, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Build and deploy a stroke prediction model using R

      Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      UBITS

      Herramientas ofimáticas básicas para el trabajo

      Skills you'll gain: Microsoft Word, Microsoft Excel, Microsoft Outlook, Spreadsheet Software, Excel Formulas, Business Reporting, Office Procedures, Gmail, Data Analysis Expressions (DAX), Productivity Software, Trend Analysis, Business Correspondence, Virtual Teams, Collaborative Software, Data Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 3 - 6 Months

    • U

      University of California, Irvine

      Data Visualization Best Practices

      Skills you'll gain: Data Visualization, Data Visualization Software, Statistical Visualization, Data Presentation, Data Storytelling, Tableau Software, Exploratory Data Analysis, Data Analysis, Descriptive Analytics

      3.9
      Rating, 3.9 out of 5 stars
      ·
      18 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Michigan

      How Science Turns Data Into Knowledge

      Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Research Design, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Wrangling with Python

      Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Seaborn, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data-Driven Decision-Making, Data Transformation, Data Processing, NumPy, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Cleansing, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      27 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Villes africaines: Mobilités et transports urbains

      Skills you'll gain: Transportation Operations, Demography, Economic Development, Community Development, Public Policies, Social Sciences, Economics, Policy, and Social Studies, Policy Analysis, Spatial Analysis, Socioeconomics, Sociology, Environmental Policy, Governance, Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      19 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to statistics

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    statistics for data science
    statistics for data science with python
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    statistics foundations
    statistics and data analysis with excel, part 1
    statistics in psychological research
    1…676869…105

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

    • Measuring Total Data Quality: University of Michigan
    • PMP Exam Prep: Gaining Business Acumen for Project Managers: University of Maryland, College Park
    • 信息社会的机遇和挑战: University of Science and Technology of China
    • An Overview of the U.S. Healthcare System: Northeastern University
    • Pivot Tables in Google Sheets: Google Cloud
    • Perform exploratory data analysis on retail data with Python: Coursera Project Network
    • Build and deploy a stroke prediction model using R: Coursera Project Network
    • Herramientas ofimáticas básicas para el trabajo: UBITS
    • Data Visualization Best Practices: University of California, Irvine
    • How Science Turns Data Into Knowledge: University of Michigan

    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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