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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

    • É

      École Polytechnique Fédérale de Lausanne

      Mobilité et urbanisme

      Skills you'll gain: Land Development, Geographic Information Systems, Spatial Analysis, Civil Engineering, Systems Thinking, Socioeconomics, Social Sciences, Research, Public Policies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      117 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Splunk Inc.

      Splunk Search Expert 103

      Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Probability and Statistical Methods

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistical Modeling, Statistics, Statistical Inference, Probability, R Programming, Applied Mathematics

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Tesla Stock Price Prediction using Facebook Prophet

      Skills you'll gain: Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Google Sheets, Interactive Data Visualization, Data Manipulation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      137 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      G

      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

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Control Phase for the 6 σ Black Belt

      Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Manufacturing, Process Improvement, Process Capability, Quality Improvement, Continuous Improvement Process, Process Analysis, Variance Analysis, Facility Repair And Maintenance, Document Management, Training Programs

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      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
      ·
      15 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Machine Learning for Marketing

      Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Google Analytics, Search Engine Optimization, Applied Machine Learning, Data Ethics, Data Mining, Customer Insights

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Instructor Network

      Data Science for Professionals

      Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Alteryx for Beginners

      Skills you'll gain: Alteryx, Spatial Data Analysis, Spatial Analysis, Data Transformation, Data Cleansing, Data Import/Export, Data Presentation, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Visualization Software, Data Mapping, Data Analysis, Data Integration, Text Mining, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 3 - 6 Months

    • K

      KodeKloud

      Linux for beginners with Hands-on Labs

      Skills you'll gain: Package and Software Management, Command-Line Interface, Linux Commands, Linux, Linux Administration, Unix Commands, Data Storage, Network Troubleshooting, Operating Systems, System Support, TCP/IP, Software Installation, File Management, Service Management, General Networking, Network Security, User Accounts

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Data Analysis

      Skills you'll gain: Data Analysis, Analytics, Statistical Analysis, Data Mining, Spreadsheet Software, Exploratory Data Analysis, Descriptive Analytics, Quantitative Research, Data Cleansing, Data Processing, Data Collection, Advanced Analytics, Statistics, Predictive Analytics, Data Presentation, Regression Analysis, Data Visualization, SQL

      3.7
      Rating, 3.7 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

    statistics with python
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    statistics for data analysis
    statistics for data science with python
    statistics in psychological research
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    1…555657…106

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

    • Mobilité et urbanisme: École Polytechnique Fédérale de Lausanne
    • Splunk Search Expert 103: Splunk Inc.
    • Advanced Probability and Statistical Methods: Johns Hopkins University
    • Tesla Stock Price Prediction using Facebook Prophet: Coursera Project Network
    • Data Science with Real World Data in Pharma: Genentech
    • The Control Phase for the 6 σ Black Belt: Kennesaw State University
    • Building Your Audience for Music Professionals: GRAMMY GO
    • Machine Learning for Marketing: O.P. Jindal Global University
    • Data Science for Professionals: Coursera Instructor Network
    • Alteryx for Beginners: 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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