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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: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python Project

      Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      파이썬의 데이터 과학 소개

      Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Social Listening

      Skills you'll gain: Social Media, Social Media Marketing, Customer Engagement, Market Trend, Business Strategy, Customer Insights, Brand Management, Strategic Decision-Making, Competitive Analysis, Trend Analysis, Data-Driven Decision-Making

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Data Collection and Root Cause Analysis

      Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Process Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Analytical Skills, Pareto Chart, Performance Measurement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery 日本語版

      Skills you'll gain: Google Cloud Platform, Big Data, Data Cleansing, Data Transformation, Cloud Infrastructure, SQL, Exploratory Data Analysis, Data Analysis, Query Languages, Data Quality, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Unsupervised Text Classification for Marketing Analytics

      Skills you'll gain: Unsupervised Learning, Unstructured Data, Deep Learning, Jupyter, Text Mining, Machine Learning Methods, Applied Machine Learning, Machine Learning, JSON, Natural Language Processing, Machine Learning Algorithms, Marketing Analytics, Data Processing, Data Wrangling

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      GRAMMY GO

      Strategies for Audience Growth and Promoting Music Brands

      Skills you'll gain: Marketing Budgets, Digital Media Strategy, Content Strategy, Promotional Strategies, Marketing Analytics, Customer Engagement, Content Marketing, Brand Awareness, Marketing Strategies, Trend Analysis, Brand Strategy, Social Media Marketing, Target Audience, Social Media Strategy, Data-Driven Decision-Making, Campaign Management, Key Performance Indicators (KPIs), Return On Investment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

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

      University of Pennsylvania

      Intro to Data Analytics, SQL, and EDA Using Python

      Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Data Storage, Pandas (Python Package), Big Data, Data Science, Relational Databases, Data Management, Data Manipulation, Data Cleansing, NumPy

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Qlik Sense - Advanced

      Skills you'll gain: Spatial Analysis, Geographic Information Systems, Scripting, Geospatial Mapping, Dashboard, Data Visualization Software, Data Processing, Interactive Data Visualization, Data Manipulation, Cascading Style Sheets (CSS)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      AI Strategy for Business Leaders with ChatGPT, ML & DL

      Skills you'll gain: Business Leadership, Artificial Intelligence, Business Strategy, Risk Management, Strategic Thinking, Business Transformation, Generative AI, Digital Transformation, Project Management Software, Business Solutions, Organizational Leadership, ChatGPT, Machine Learning, Business Ethics, Data Ethics, Innovation, Emerging Technologies, Automation, Trend Analysis, Forecasting

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Learning and Development

      Skills you'll gain: Data Ethics, Microsoft Copilot, Generative AI, Training and Development, Instructional Design, ChatGPT, Productivity Software, Education Software and Technology, Training Programs, Artificial Intelligence, Developing Training Materials, Learning Management Systems, Operational Efficiency, Business Ethics, Ethical Standards And Conduct

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Product Strategy: Lifecycle, Data Insights, Collaboration

      Skills you'll gain: Product Lifecycle Management, Product Strategy, Product Management, Product Roadmaps, Strategic Leadership, Customer Insights, Market Data, Market Research, Data-Driven Decision-Making, Cross-Functional Collaboration, Team Building, Digital Media Strategy, Innovation, Trend Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics with python
    statistics for data science
    statistics with r
    statistics for data analysis
    statistics for data science with python
    statistics in psychological research
    statistics for business
    statistics foundations
    1…828384…106

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

    • Data Analysis with Python Project : University of Colorado Boulder
    • 파이썬의 데이터 과학 소개: University of Michigan
    • Social Listening: Coursera Instructor Network
    • Data Collection and Root Cause Analysis: SkillUp EdTech
    • Exploring ​and ​Preparing ​your ​Data with BigQuery 日本語版: Google Cloud
    • Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder
    • Strategies for Audience Growth and Promoting Music Brands: GRAMMY GO
    • Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
    • Qlik Sense - Advanced: Packt
    • AI Strategy for Business Leaders with ChatGPT, ML & DL: Packt

    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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