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    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: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 2: 로봇 기구학

      Skills you'll gain: Mechanics, Torque (Physics), Mathematical Modeling, Engineering Analysis, Engineering Calculations, Mechanical Engineering, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Spatial Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Comment configurer un pixel Facebook

      Skills you'll gain: Facebook, Online Advertising, Social Media Marketing, Digital Advertising, Target Audience, Web Analytics, Software Installation

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      The Complete Product Management Fundamentals

      Skills you'll gain: Agile Methodology, Wireframing, Agile Product Development, Product Management, Product Roadmaps, Project Management Software, Product Improvement, A/B Testing, Product Development, Sprint Planning, Web Analytics, Kanban Principles, User Feedback, Microsoft Teams

      Beginner · Course · 1 - 3 Months

    • A

      Arizona State University

      Extracting Value from Dark Data: ULEADD

      Skills you'll gain: Exploratory Data Analysis, Decision Making, Strategic Decision-Making, Data Strategy, Complex Problem Solving, Design Thinking, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Data Management, Process Improvement, Organizational Effectiveness, Solution Design, Data Analysis, Needs Assessment, Project Scoping

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Performance Optimization and Utilities in Teradata

      Skills you'll gain: Teradata SQL, Performance Tuning, Stored Procedure, Solution Design, Extract, Transform, Load, Database Management, Data Import/Export, Database Design, System Implementation, Data Warehousing, Emerging Technologies

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Foundations of Statistical Learning & Algorithms

      Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      تتبع إجراءات زبائن الموقع باستخدام فيسبوك بيكسل

      Skills you'll gain: Facebook, Web Analytics, Social Media Marketing, Customer Analysis, User Accounts, E-Commerce

      Beginner · Guided Project · Less Than 2 Hours

    • H

      H2O.ai

      H2O Hydrogen Torch Starter Course

      Skills you'll gain: Deep Learning, Applied Machine Learning, Artificial Intelligence, Computer Vision, Large Language Modeling, Image Analysis, Exploratory Data Analysis, Performance Tuning

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Cluster Analysis and Unsupervised Machine Learning in Python

      Skills you'll gain: Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Science, Statistical Methods, Algorithms, NumPy, Python Programming

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      O

      O.P. Jindal Global University

      Econometrics - Theory and Practice

      Skills you'll gain: Econometrics, Regression Analysis, Statistical Modeling, Quantitative Research, Statistical Methods, Stata, Time Series Analysis and Forecasting, Correlation Analysis, Statistical Inference, Statistical Analysis, Data Analysis Software, Probability Distribution

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Transforming Exploratory Data Analysis with AI

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, OpenAI, Data-Driven Decision-Making, Analytical Skills, Artificial Intelligence, Data Analysis, Prompt Engineering, Pandas (Python Package), Automation, Data Visualization Software, Descriptive Statistics

      Intermediate · Course · 1 - 3 Months

    • H

      H2O.ai

      Data Science and Machine Learning H2O.ai Platforms

      Skills you'll gain: Generative AI, Application Deployment, Data Wrangling, Project Planning, Data Governance, Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Visualization, Data-Driven Decision-Making, MLOps (Machine Learning Operations), Data Science, Artificial Intelligence, Predictive Modeling

      Intermediate · Course · 1 - 3 Months

    Searches related to statistics

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    1…9899100…105

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

    • 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
    • Comment configurer un pixel Facebook: Coursera Project Network
    • The Complete Product Management Fundamentals: Packt
    • Extracting Value from Dark Data: ULEADD: Arizona State University
    • Performance Optimization and Utilities in Teradata: Board Infinity
    • Foundations of Statistical Learning & Algorithms: Northeastern University
    • تتبع إجراءات زبائن الموقع باستخدام فيسبوك بيكسل : Coursera Project Network
    • H2O Hydrogen Torch Starter Course: H2O.ai
    • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
    • Econometrics - Theory and Practice: O.P. Jindal Global University

    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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