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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 California, Irvine

      Natural Language Processing and Capstone Assignment

      Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Data Analysis, Trend Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Consumer Behaviour, Internet Of Things, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Data Science Project: MATLAB for the Real World

      Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Exploratory Data Analysis, Applied Machine Learning, Statistical Reporting, Data Science, Machine Learning, Data Analysis, Matlab, Data Processing, Technical Communication, Predictive Modeling, Data Manipulation, Data Cleansing, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Digital Marketing Analytics

      Skills you'll gain: Digital Marketing, Web Analytics, Digital Advertising, Search Engine Marketing, Online Advertising, Google Analytics, Search Engine Optimization, Web Analytics and SEO, Google Ads, Marketing Channel, Social Media Marketing, Marketing Strategies, Keyword Research, Marketing Planning, Paid media, Marketing Analytics, Social Media, Advertising, Blogs, Emerging Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • E

      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
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis with OpenAI API: Save time with GenAI

      Skills you'll gain: Prompt Engineering, Generative AI, Exploratory Data Analysis, OpenAI, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Product Knowledge, Sales Strategy, Application Programming Interface (API), E-Commerce, Data Manipulation, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Analysis with Generative AI

      Skills you'll gain: Generative AI, Anomaly Detection, Predictive Modeling, Text Mining, Predictive Analytics, Advanced Analytics, Data Cleansing, Prompt Engineering, Natural Language Processing, Unstructured Data, Data Analysis, Forecasting, Data Quality, Time Series Analysis and Forecasting, Exploratory Data Analysis, Software Documentation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Machine Learning for Supply Chain

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      GIS: Geographic Information Systems for Sustainability

      Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Datamaps, Spatial Analysis, Data Storytelling, Environmental Monitoring, Heat Maps, Forecasting, Trend Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • É

      École Polytechnique Fédérale de Lausanne

      African cities : An Introduction to Urban Planning

      Skills you'll gain: Land Development, Governance, Land Management, Community Development, Civil Engineering, Policty Analysis, Research, and Development, Economic Development, Project Finance, Spatial Analysis, Transportation Operations, Environment and Resource Management, Property and Real Estate

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to statistics

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    1…697071…107

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

    • Natural Language Processing and Capstone Assignment: University of California, Irvine
    • Data Science Project: MATLAB for the Real World: MathWorks
    • Digital Marketing Analytics: O.P. Jindal Global University
    • Introduction to PySpark: Edureka
    • Data Analysis with OpenAI API: Save time with GenAI: Coursera Project Network
    • Advanced Data Analysis with Generative AI: Microsoft
    • Data Analysis with Python: University of Colorado Boulder
    • Build and deploy a stroke prediction model using R: Coursera Project Network
    • Fundamentals of Machine Learning for Supply Chain: LearnQuest
    • GIS: Geographic Information Systems for Sustainability: 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

    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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