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    • Statistics

    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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Employing Best Practices for Improving the Usability of LookML Projects

      Skills you'll gain: Looker (Software), Maintainability, Usability Testing, Exploratory Data Analysis, Data Dictionary, Data Literacy

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Chi-Square Tests of Hypotheses About Frequency Tables

      Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Analytical Skills, Statistics, Psychology, Research

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Crafting AI Identities: Strategies & Ethical Considerations

      Skills you'll gain: AI Personalization, Data Ethics, Information Privacy, User Research, Persona (User Experience), Persona Development, Diversity and Inclusion, Experience Design, User Experience Design, Artificial Intelligence, Accountability, Human Centered Design, Ethical Standards And Conduct, Business Ethics, User Centered Design

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      ETL pipelines con Python: recopila datos de Spotify

      Skills you'll gain: Interactive Data Visualization, Data Transformation, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Data Pipelines, Jupyter, Virtual Environment

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Strategies for Paid Campaigns

      Skills you'll gain: Google Analytics, Marketing Budgets, Pay Per Click Advertising, Digital Marketing, Paid media, Google Ads, Marketing Strategies, Digital Advertising, Campaign Management, Web Analytics, Online Advertising, Advertising Campaigns, Budget Management, Bidding, Marketing Analytics, Lead Generation, Facebook, Marketing Psychology, Consumer Behaviour, Persuasive Communication

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Mobile Marketing

      Skills you'll gain: HubSpot CRM, Customer Relationship Management, Marketing Automation, Online Advertising, Keyword Research, Promotional Strategies, Social Media Marketing, Advertising Campaigns, Marketing Strategies, Web Analytics, Customer Acquisition Management, Product Promotion, Search Engine Optimization, Performance Metric, Customer Engagement, Advertising

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Foundations of Statistical Learning & Algorithms

      Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon Connect Contact Lens Fundamentals

      Skills you'll gain: Customer experience improvement, Customer Relationship Management, Customer Insights, Customer Service, Trend Analysis, Performance Analysis, Taking Meeting Minutes, Text Mining, System Implementation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      كيفية إنشاء قناة في تحليلات فيسبوك

      Skills you'll gain: Marketing Channel, Marketing Effectiveness, Sales Strategy, Sales Process, Facebook, Sales, Marketing, Lead Generation, Campaign Management, Marketing Analytics, Web Analytics

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Commencer avec Facebook Analytics

      Skills you'll gain: Facebook, Web Analytics, Event Management, Advertising, Marketing Analytics, Social Media Management, Social Media

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Exploratory Analytics Project Ideation

      Skills you'll gain: Exploratory Data Analysis, Project Design, Data Mining, Ideation, Data Analysis, Business Analytics, Analytics, Business Analysis, Unsupervised Learning, Anomaly Detection, Process Mapping, Tree Maps

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

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    1…979899…106

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

    • Foundations of ML & Python for Data Science: Packt
    • Employing Best Practices for Improving the Usability of LookML Projects: Google Cloud
    • Chi-Square Tests of Hypotheses About Frequency Tables: American Psychological Association
    • Crafting AI Identities: Strategies & Ethical Considerations: Coursera Instructor Network
    • ETL pipelines con Python: recopila datos de Spotify: Coursera Project Network
    • Strategies for Paid Campaigns: Simplilearn
    • Mobile Marketing: Simplilearn
    • Foundations of Statistical Learning & Algorithms: Northeastern University
    • Amazon Connect Contact Lens Fundamentals: Amazon Web Services
    • كيفية إنشاء قناة في تحليلات فيسبوك: Coursera Project Network

    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

    Top statistics courses include Introduction to Statistics from Stanford University, Business Statistics and Analysis from Rice University, and Statistics with Python from the University of Michigan. These courses cover descriptive statistics, probability, hypothesis testing, and statistical modeling.‎

    Yes. Many statistics courses offer a free audit option, allowing you to access video lessons and reading materials without payment. If you want to complete assignments or earn a certificate, you’ll need to pay or apply for financial aid.‎

    You’ll learn how to collect, interpret, and present data; calculate key metrics like mean and standard deviation; and apply statistical techniques such as regression analysis, probability distributions, and confidence intervals. Some courses also include hands-on practice with Excel, R, or Python.‎

    Not necessarily. Many Coursera statistics courses are designed for beginners and explain core concepts step by step. Some basic comfort with numbers is helpful, but you don’t need advanced math experience to get started.‎

    Yes. Statistics is essential in fields like business, healthcare, data science, psychology, and research. Learning statistics on Coursera can help you analyze data, make informed decisions, and gain skills that are valuable in both academic and professional settings.‎

    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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