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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

    • EDHEC Business School

      Python and Machine-Learning for Asset Management with Alternative Data Sets

      Skills you'll gain: Text Mining, Network Analysis, Data Visualization Software, Machine Learning Methods, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Advanced Analytics, Financial Statements, Financial Market, Financial Analysis, Asset Management, Python Programming, Investment Management, Data Analysis, Risk Analysis, Consumer Behaviour

      4.4
      Rating, 4.4 out of 5 stars
      ·
      231 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Imperial College London

      Validity and Bias in Epidemiology

      Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Research, Public Health, Correlation Analysis, Statistical Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 4 Weeks

    • DeepLearning.AI

      AI and Climate Change

      Skills you'll gain: Image Analysis, Environmental Monitoring, Artificial Intelligence, Deep Learning, Data Processing, Forecasting, Machine Learning, Computer Vision, Environmental Science, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Instructor Network

      Financial Analysis: Portfolios, Risks, Strategic Decisions

      Skills you'll gain: Portfolio Management, Investment Management, Risk Management, Financial Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Risk Analysis, Financial Forecasting, Business Valuation, Market Dynamics, Quantitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      103 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Virginia

      Business Strategy in Practice (Project-centered Course)

      Skills you'll gain: Peer Review, Organizational Strategy, Business Research, Project Management, Business Strategy, Competitive Analysis, Business Analysis, Strategic Decision-Making, Business Communication, Analysis, Report Writing, Business Writing, Trend Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      187 reviews

      Mixed · Course · 1 - 3 Months

    • Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      193 reviews

      Beginner · Course · 1 - 3 Months

    • Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      University of Minnesota

      Matrix Methods

      Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 3 Months

    • Google

      Marketing digital e e-commerce do Google

      Skills you'll gain: Data Storytelling, Email Marketing, Google Ads, Digital Advertising, Social Media Marketing, Search Engine Optimization, Google Analytics, Customer Retention, Digital Marketing, Marketing Budgets, Loyalty Programs, Order Fulfillment, Search Engine Marketing, Web Analytics, Marketing Analytics, Media Planning, Content Creation, A/B Testing, Online Advertising, Copywriting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      309 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free

      Pontificia Universidad Católica de Chile

      Ingeniería de Tráfico

      Skills you'll gain: Civil Engineering, Control Systems, Process Analysis, Engineering Analysis, Mathematical Modeling, Simulations, Spatial Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      440 reviews

      Beginner · Course · 1 - 4 Weeks

    • IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Statistical Methods, Data Management, Probability & Statistics, Statistical Inference, Statistics, Big Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      158 reviews

      Beginner · Course · 1 - 3 Months

    Statistics learners also search

    R Statistics
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    Statistics for Data Analysis
    Applied Statistics
    Beginner Statistics
    Free Statistics
    Predictive Modeling
    Statistical Modeling
    1…343536…105

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

    • Python and Machine-Learning for Asset Management with Alternative Data Sets: EDHEC Business School
    • Validity and Bias in Epidemiology: Imperial College London
    • AI and Climate Change: DeepLearning.AI
    • Financial Analysis: Portfolios, Risks, Strategic Decisions: Coursera Instructor Network
    • Business Strategy in Practice (Project-centered Course): University of Virginia
    • Python Data Analytics: Meta
    • Using probability distributions for real world problems in R: Coursera Project Network
    • Matrix Methods: University of Minnesota
    • Marketing digital e e-commerce do Google: Google
    • Ingeniería de Tráfico: Pontificia Universidad Católica de Chile

    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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