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    • Statistics

    Statistics Courses Online

    Study statistics for data analysis and interpretation. Learn about descriptive statistics, probability, and inferential statistics.

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    Explore the Statistics Course Catalog

    • U

      Unilever

      Implementing Supply Chain Analytics

      Skills you'll gain: Descriptive Analytics, Supply Chain Management, Supply Chain Systems, Supply Chain Planning, Predictive Analytics, Forecasting, Inventory Management System, Data-Driven Decision-Making, Business Analytics, Advanced Analytics, Analytics, Trend Analysis, SQL, Data Presentation, Data Analysis, Technical Communication, Performance Reporting, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Integración y preparación de datos

      Skills you'll gain: Data Integration, Data Quality, Exploratory Data Analysis, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Compilation, Data Visualization, Data Analysis, Data Science, Predictive Modeling, Data Validation, Python Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      94 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      Decision Making and Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Data-Driven Decision-Making, Simulations, Probability, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Visualization in Tableau: Create Dashboards and Stories

      Skills you'll gain: Data Storytelling, Data Presentation, Data-Driven Decision-Making, Interactive Data Visualization, Dashboard, Data Visualization Software, Tableau Software, Data Analysis, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      أساسيات تحليل البيانات باستخدام جداول بيانات جوجل

      Skills you'll gain: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Spreadsheet Software, Data Visualization, Graphing, Statistics, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      148 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • F

      Fundação Instituto de Administração

      Data & Finance for the future

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Business Analytics, Regression Analysis, Business Valuation, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Statistical Inference, Financial Accounting, Balance Sheet, Cash Flows, Competitive Analysis, Financial Modeling, International Finance, Business Economics, Economics, Economic Development, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      447 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      Computational Thinking with Beginning C Programming

      Skills you'll gain: Computational Thinking, Data Collection, Simulations, Data Analysis, Microsoft Visual Studio, C (Programming Language), Data Presentation, Automation, Application Development, Program Development, Data Structures, Programming Principles, Data Processing, Algorithms, Computer Programming, Statistics, Descriptive Statistics, Problem Management, File Management, Distributed Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      430 reviews

      Beginner · Specialization · 3 - 6 Months

    • W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Data Analysis, Data Science, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      324 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)

      Skills you'll gain: Patient Safety, Data Analysis, Data Presentation, Continuous Quality Improvement (CQI), Data Visualization Software, Data-Driven Decision-Making, Data Quality, Statistical Analysis, Descriptive Statistics, Data Collection, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidad Austral

      Conceptos base para el estudio del medio ambiente

      Skills you'll gain: Environmental Monitoring, Environment, Data Analysis, Physical Science, Life Sciences, Statistical Analysis, Environmental Issue, General Science and Research, Statistical Methods, Descriptive Statistics, Sampling (Statistics), Systems Of Measurement, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      527 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Excel Regression Models for Business Forecasting

      Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Statistical Modeling, Trend Analysis, Business Planning, Statistical Analysis, Data Visualization Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Microsoft

      Perform data science with Azure Databricks

      Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Scikit Learn (Machine Learning Library), Applied Machine Learning, Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Exploratory Data Analysis

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

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    1…505152…112

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

    • Implementing Supply Chain Analytics: Unilever
    • Integración y preparación de datos: Universidad de los Andes
    • Decision Making and Reinforcement Learning: Columbia University
    • Data Visualization in Tableau: Create Dashboards and Stories: Coursera Project Network
    • أساسيات تحليل البيانات باستخدام جداول بيانات جوجل : Coursera Project Network
    • Data & Finance for the future: Fundação Instituto de Administração
    • Computational Thinking with Beginning C Programming: University of Colorado System
    • Machine Learning for Data Analysis: Wesleyan University
    • Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI): Johns Hopkins University
    • Conceptos base para el estudio del medio ambiente: Universidad Austral

    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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