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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

    • Johns Hopkins University

      Random Processes

      Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

      Mixed · Course · 1 - 4 Weeks

    • 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, Cash Flows, Balance Sheet, Income Statement, Competitive Analysis, International Finance, Business Economics, Economics, Market Dynamics, Business Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      447 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      University of Alberta

      Science Literacy

      Skills you'll gain: Scientific Methods, General Science and Research, Research Methodologies, Research, Research Design, Peer Review, Experimentation, Statistical Methods, Media and Communications, Correlation Analysis, Probability & Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      261 reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Data Science Capstone

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Data Science, Data Analysis, Data Presentation, Data Collection, Data Storytelling, Data Cleansing, Statistical Analysis, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • University of Colorado Boulder

      Social Media Advertising

      Skills you'll gain: Social Media, Online Advertising, Digital Advertising, Social Media Marketing, Social Media Strategy, Advertising, Advertising Campaigns, Web Analytics, Content Performance Analysis, Facebook, Paid media, Instagram, Marketing Communications, Target Audience, Business Ethics, Brand Awareness, Customer Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Beginner · Course · 1 - 4 Weeks

    • IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      332 reviews

      Intermediate · Course · 1 - 3 Months

    • Coursera Project Network

      Introduction to Microsoft Excel

      Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Productivity Software, Expense Management, Budgeting, Inventory Management System

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Tableau Learning Partner

      Data Analysis with Tableau

      Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Histogram, Data Manipulation, Regression Analysis, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      87 reviews

      Beginner · Course · 1 - 4 Weeks

    • New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of California, Davis

      Data Visualization with Tableau Project

      Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization Software, Interactive Data Visualization, Proposal Development, Tableau Software, Exploratory Data Analysis, Data-Driven Decision-Making, Data Cleansing, Data Import/Export, Target Audience

      4.6
      Rating, 4.6 out of 5 stars
      ·
      566 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Illinois Urbana-Champaign

      Cluster Analysis in Data Mining

      Skills you'll gain: Unsupervised Learning, Data Mining, Data Validation, Applied Machine Learning, Machine Learning Algorithms, Data Analysis, Statistical Methods, Exploratory Data Analysis, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      408 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free

      Coursera Project Network

      Introduction to Business Analysis Using Spreadsheets: Basics

      Skills you'll gain: Google Sheets, Spreadsheet Software, Data Presentation, Statistical Visualization, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Excel Formulas, Data Cleansing, Mathematical Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      999 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Statistics learners also search

    R Statistics
    Statistics for Data Science
    Statistics for Data Analysis
    Applied Statistics
    Beginner Statistics
    Free Statistics
    Predictive Modeling
    Statistical Modeling
    1…353637…105

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

    • Random Processes: Johns Hopkins University
    • Data & Finance for the future: Fundação Instituto de Administração
    • Science Literacy : University of Alberta
    • Data Science Capstone: Johns Hopkins University
    • Social Media Advertising: University of Colorado Boulder
    • Data Analysis with R: IBM
    • Introduction to Microsoft Excel: Coursera Project Network
    • Data Analysis with Tableau: Tableau Learning Partner
    • Fundamentals of Machine Learning in Finance: New York University
    • Data Visualization with Tableau Project: University of California, Davis

    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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