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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
      U

      University of Pennsylvania

      비즈니스와 사회의 글로벌 트렌드

      Skills you'll gain: Demography, International Finance, International Relations, Political Sciences, Market Trend, Socioeconomics, Trend Analysis, Social Sciences, Cultural Diversity, Economic Development, Sociology, Consumer Behaviour, Financial Systems, Economics, Business, Business Economics, Analysis, Governance

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Minnesota

      Causal Inference Project Ideation

      Skills you'll gain: Experimentation, Research Design, A/B Testing, Business Analysis, Analytical Skills, Complex Problem Solving, Statistical Inference, Business Priorities, Data Ethics, Prioritization, Project Planning

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Maryland, College Park

      New Map for Product Managers: Superpower Grand Strategies

      Skills you'll gain: Strategic Partnership, Demography, Forecasting, Market Trend, Global Marketing, Market Dynamics, Economics, International Relations, Economic Development, Socioeconomics, Environmental Issue, Financial Systems, Business Strategy, Strategic Decision-Making

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Time Series Forecasting with Facebook Prophet in Python

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Anomaly Detection, Predictive Modeling, Python Programming, Predictive Analytics, Exploratory Data Analysis, Statistical Analysis, Data Manipulation

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      توقع حضور المواعيد الطبية باستخدام Python

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Artificial Intelligence, Predictive Modeling, Data Science, Jupyter, Machine Learning, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      The Simplest Guide™ to Base SAS & Advanced SAS

      Skills you'll gain: SAS (Software), Statistical Programming, Data Analysis, Data Manipulation, Data Import/Export, Statistical Analysis, SQL, Statistical Reporting, Data Visualization Software, Data Cleansing, Data Transformation, Software Installation

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Comment configurer Facebook Analytics

      Skills you'll gain: Facebook, Online Advertising, Advertising Campaigns, Advertising, Digital Advertising, Social Media Campaigns, Web Analytics

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Как пользоваться Twitter Ad Manager и смотреть результаты

      Skills you'll gain: Online Advertising, Digital Advertising, Content Performance Analysis, Advertising Campaigns, Advertising, Paid media, Social Media Marketing, Social Media Campaigns, Web Analytics

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      N

      Northeastern University

      Practical Engineering Data Mining: Techniques and Uses

      Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Mastering Machine Learning Algorithms using Python

      Skills you'll gain: Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, Data Processing, Predictive Modeling, NumPy, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Machine Learning, Regression Analysis

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Suivre les actions des visiteurs du site Web à l'aide de Facebook Pixel

      Skills you'll gain: Marketing Strategies, Facebook, Web Analytics, Marketing Analytics, Social Media Marketing, Online Advertising, Business Marketing, Target Audience

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to statistics

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

    • 비즈니스와 사회의 글로벌 트렌드: University of Pennsylvania
    • Causal Inference Project Ideation: University of Minnesota
    • New Map for Product Managers: Superpower Grand Strategies: University of Maryland, College Park
    • Foundations of ML & Python for Data Science: Packt
    • Time Series Forecasting with Facebook Prophet in Python: Packt
    • توقع حضور المواعيد الطبية باستخدام Python: Coursera Project Network
    • The Simplest Guide™ to Base SAS & Advanced SAS: Packt
    • Comment configurer Facebook Analytics: Coursera Project Network
    • Как пользоваться Twitter Ad Manager и смотреть результаты: Coursera Project Network
    • Practical Engineering Data Mining: Techniques and Uses: Northeastern 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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