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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: New
      New
      I

      Interactive Brokers

      Introduction to Momentum Investing

      Skills you'll gain: Market Trend, Technical Analysis, Risk Management, Market Data, Trend Analysis, Investment Management, Investments, Financial Trading, Portfolio Management, Equities

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Process Capability

      Skills you'll gain: Process Capability, Six Sigma Methodology, Statistical Process Controls, Process Analysis, Statistical Analysis, Probability & Statistics, Statistical Methods, Business Metrics, R Programming, Data Import/Export

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • H

      Howard University

      Solving Business Problems with Spreadsheet Modeling

      Skills you'll gain: Correlation Analysis, Business Analysis, Spreadsheet Software, Business Analytics, Analysis, Microsoft Excel, Financial Modeling, Business Modeling, Risk Analysis, Complex Problem Solving, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      How to Set up Facebook Pixel

      Skills you'll gain: Facebook, Online Advertising, Web Analytics, Social Media Marketing, Digital Advertising, User Accounts, Compliance Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Social Listening

      Skills you'll gain: Social Media, Social Media Marketing, Customer Engagement, Market Trend, Business Strategy, Customer Insights, Brand Management, Strategic Decision-Making, Competitive Analysis, Trend Analysis, Data-Driven Decision-Making

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      GRAMMY GO

      Strategies for Audience Growth and Promoting Music Brands

      Skills you'll gain: Marketing Budgets, Digital Media Strategy, Content Strategy, Promotional Strategies, Marketing Analytics, Customer Engagement, Content Marketing, Brand Awareness, Marketing Strategies, Trend Analysis, Brand Strategy, Social Media Marketing, Target Audience, Social Media Strategy, Data-Driven Decision-Making, Campaign Management, Key Performance Indicators (KPIs), Return On Investment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SkillUp EdTech

      Data Collection and Root Cause Analysis

      Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Process Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Analytical Skills, Pareto Chart, Performance Measurement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • F

      Fundação Instituto de Administração

      Participação das Mulheres na Sociedade e nas Organizações

      Skills you'll gain: Sociology, Organizational Structure, Socioeconomics, Cultural Diversity, Social Studies, Diversity and Inclusion, World History, Human Resource Policies, Economics, Empowerment, Leadership, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Evolución: Teoría sintética

      Skills you'll gain: Biology, Life Sciences, World History, Social Studies, Deductive Reasoning, Mathematical Modeling, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Muestreo de personas, redes y registros

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Statistics, Probability & Statistics, Research Design, Statistical Software, Network Analysis

      Beginner · Course · 1 - 3 Months

    • S

      SkillUp EdTech

      The DMAIC Framework - Define and Measure Phase

      Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Process Analysis, Data Collection, Project Scoping, Performance Measurement, Customer experience improvement, Quality Improvement, Quality Control

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      J

      Johns Hopkins University

      데이터 과학자의 도구 상자

      Skills you'll gain: Rmarkdown, Data Science, GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Quality, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics for data science
    statistics with r
    statistics for data science with python
    statistics with python
    statistics for data analysis
    statistics foundations
    statistics and data analysis with excel, part 1
    statistics in psychological research
    1…838485…106

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

    • Introduction to Momentum Investing: Interactive Brokers
    • RStudio for Six Sigma - Process Capability: Coursera Project Network
    • Solving Business Problems with Spreadsheet Modeling: Howard University
    • How to Set up Facebook Pixel: Coursera Project Network
    • Social Listening: Coursera Instructor Network
    • Strategies for Audience Growth and Promoting Music Brands: GRAMMY GO
    • Data Collection and Root Cause Analysis: SkillUp EdTech
    • Participação das Mulheres na Sociedade e nas Organizações: Fundação Instituto de Administração
    • Evolución: Teoría sintética: Universidad Nacional Autónoma de México
    • Muestreo de personas, redes y registros: 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

    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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