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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

    • IE Business School

      Intelligence Tools for the Digital Age

      Skills you'll gain: Intelligence Collection and Analysis, Strategic Thinking, Competitive Intelligence, Analysis, Business Intelligence, Digital Transformation, Timelines, Decision Making, Trend Analysis, Business Technologies, Business Strategy, Complex Problem Solving, International Relations, Forecasting, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      668 reviews

      Beginner · Course · 1 - 4 Weeks

    • Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • MathWorks

      Data Processing and Feature Engineering with MATLAB

      Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Exploratory Data Analysis, Data Visualization, Matlab, Data Processing, Descriptive Statistics, Data Cleansing, Data Manipulation, Histogram, Data Transformation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      345 reviews

      Intermediate · Course · 1 - 3 Months

    • Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Data Analysis, Interactive Data Visualization, Data Import/Export, Data Visualization

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Coursera Project Network

      أساسيات تحليل البيانات باستخدام جداول بيانات جوجل

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      148 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Kennesaw State University

      Career Options: Exploring a New Career

      Skills you'll gain: Planning, Professional Networking, Business Research, Lifelong Learning, Goal Setting, Professional Development, Personal Development, Market Research, Adaptability, Self-Awareness, Market Analysis, Creative Thinking, Decision Making, Trend Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • Unilever

      Measurement and Analysis

      Skills you'll gain: Web Analytics, Social Media Campaigns, Digital Marketing, Google Analytics, Social Media Marketing, Search Engine Marketing, Social Media Strategy, Marketing Strategies, Search Engine Optimization, Keyword Research, Marketing Analytics, A/B Testing, Advertising Campaigns, Performance Analysis, Key Performance Indicators (KPIs)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • Kennesaw State University

      The Improve Phase for the 6 σ Black Belt

      Skills you'll gain: Lean Methodologies, Lean Six Sigma, Six Sigma Methodology, Performance Measurement, Process Improvement, Continuous Improvement Process, Process Analysis, Statistical Methods, Statistical Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Mixed · Course · 1 - 3 Months

    • 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-Driven Decision-Making, Data Science, Pandas (Python Package), Predictive Modeling, Python Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      94 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Peking University

      Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Computational Thinking, Biology, Database Software, Data Analysis, Algorithms, Machine Learning Algorithms, Probability & Statistics, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      279 reviews

      Mixed · Course · 3 - 6 Months

    • 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

    Statistics learners also search

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    Beginner Statistics
    Free Statistics
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    Statistical Modeling
    1…474849…105

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

    • Intelligence Tools for the Digital Age : IE Business School
    • Random Models, Nested and Split-plot Designs: Arizona State University
    • Data Processing and Feature Engineering with MATLAB: MathWorks
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • أساسيات تحليل البيانات باستخدام جداول بيانات جوجل : Coursera Project Network
    • Career Options: Exploring a New Career: Kennesaw State University
    • Data Visualization in Tableau: Create Dashboards and Stories: Coursera Project Network
    • Measurement and Analysis: Unilever
    • The Improve Phase for the 6 σ Black Belt: Kennesaw State University
    • Integración y preparación de datos: Universidad de los Andes

    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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