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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

    • G

      Google Cloud

      Preparing and Aggregating Data for Visualizations using Cloud Dataprep

      Skills you'll gain: Data Visualization Software, Data Wrangling, Data Manipulation, Data Import/Export, Data Transformation, Data Cleansing, Extract, Transform, Load, Sampling (Statistics)

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Creating a Data Transformation Pipeline with Cloud Dataprep

      Skills you'll gain: Data Manipulation, Data Processing, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Cloud Platform

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      N

      Northeastern University

      Generative AI: Foundations and Concepts

      Skills you'll gain: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Creating Measures and Dimensions Using LookML

      Skills you'll gain: Looker (Software), Dashboard, Data Analysis Expressions (DAX), Ad Hoc Analysis, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • U

      University of Lausanne

      HEALTHY URBAN SYSTEMS

      Skills you'll gain: Health Policy, Public Health, Health Equity, Health Systems, Geographic Information Systems, Systems Thinking, Community Health, Spatial Analysis, Governance, Simulations, Policy Development, Mathematical Modeling, Environmental Policy, Policy Analysis, Health Assessment, Systems Analysis, Data Analysis Software, Environmental Issue, Environment, Artificial Intelligence

      Beginner · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Geographical Information Systems - Part 2

      Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Offloading Financial Mainframe Data into BigQuery and Elastic Search

      Skills you'll gain: Dashboard, Kibana, Google Cloud Platform, Cloud Computing, Data Import/Export, Financial Data, Mainframe Computing, Dataflow, Big Data, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Lausanne

      HEALTHY URBAN SYSTEMS - PART 1 : Concepts and observations

      Skills you'll gain: Health Policy, Public Health, Health Equity, Health Systems, Geographic Information Systems, Systems Thinking, Community Health, Spatial Analysis, Environmental Issue, Artificial Intelligence, Data Collection

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Crafting AI Identities: Strategies & Ethical Considerations

      Skills you'll gain: AI Personalization, Data Ethics, Information Privacy, User Research, Persona (User Experience), Persona Development, Diversity and Inclusion, Experience Design, User Experience Design, Artificial Intelligence, Accountability, Human Centered Design, Ethical Standards And Conduct, Business Ethics, User Centered Design

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Introduction to RNN and DNN

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Supervised Learning Regression Classification Clustering

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Predictive Analytics, Random Forest Algorithm, Bayesian Statistics

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    statistics and data analysis with excel, part 1
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    1…949596…105

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

    • Preparing and Aggregating Data for Visualizations using Cloud Dataprep: Google Cloud
    • Creating a Data Transformation Pipeline with Cloud Dataprep: Google Cloud
    • Generative AI: Foundations and Concepts: Northeastern University
    • Creating Measures and Dimensions Using LookML: Google Cloud
    • HEALTHY URBAN SYSTEMS: University of Lausanne
    • Geographical Information Systems - Part 2: École Polytechnique Fédérale de Lausanne
    • Offloading Financial Mainframe Data into BigQuery and Elastic Search: Google Cloud
    • Computational and Graphical Models in Probability: Johns Hopkins University
    • HEALTHY URBAN SYSTEMS - PART 1 : Concepts and observations: University of Lausanne
    • Crafting AI Identities: Strategies & Ethical Considerations: Coursera Instructor Network

    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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