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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

    • F

      Fundação Instituto de Administração

      Fundamentos de InteligĂȘncia Artifical em Marketing

      Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, MarTech, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Copilot for Beginners: Sales Data Analysis in Excel

      Skills you'll gain: Microsoft Copilot, Microsoft Excel, Data Cleansing, Data Visualization Software, Spreadsheet Software, Trend Analysis, Forecasting, Data Manipulation, Sales, Data Analysis, Generative AI

      Beginner · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Household Surveys for Program Evaluation in LMICs

      Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Data Quality, Research Design, Sample Size Determination, Interviewing Skills, Data Presentation, Data Ethics

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Sales Analysis with Claude: Data Driven Sales Analytics

      Skills you'll gain: Business Intelligence, Data Visualization, Sales Presentation, Data Storytelling, Trend Analysis, Sales, Business Analytics, Sales Strategy, Data-Driven Decision-Making, Data Analysis, Business Strategy, Anomaly Detection, Artificial Intelligence

      Intermediate · Guided Project · Less Than 2 Hours

    • O

      O.P. Jindal Global University

      Unsupervised Learning and Its Applications in Marketing

      Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Marketing, Statistical Machine Learning, Supervised Learning, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Data Analysis with the FraudFinder Workshop

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Anomaly Detection, Application Deployment, Data Store, Jupyter, Google Cloud Platform, Predictive Modeling, Data Analysis, Data Processing, Data Warehousing, Continuous Monitoring, Statistical Modeling

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Learning and Development

      Skills you'll gain: Data Ethics, Microsoft Copilot, Generative AI, Training and Development, Instructional Design, ChatGPT, Productivity Software, Education Software and Technology, Training Programs, Artificial Intelligence, Developing Training Materials, Learning Management Systems, Operational Efficiency, Business Ethics, Ethical Standards And Conduct

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Keras Deep Learning & Generative Adversarial Networks (GAN)

      Skills you'll gain: Keras (Neural Network Library), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Exploratory Data Analysis, Predictive Modeling, Deep Learning, Matplotlib, Artificial Intelligence, Pandas (Python Package), Python Programming, NumPy, Data Processing, Data Analysis, Artificial Neural Networks, Programming Principles, Classification And Regression Tree (CART), Regression Analysis, Data Manipulation, Tensorflow

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Aggregate Data in SQL using MySQL Workbench

      Skills you'll gain: MySQL, SQL, MySQL Workbench, Query Languages, Descriptive Statistics, Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Analysis and Interpretation of Large-Scale Programs

      Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, Maternal Health, Data Quality, Research Design

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Michigan

      íŒŒìŽìŹì˜ 응용 소셜 ë„€íŠžì›ŒíŹ 분석

      Skills you'll gain: Network Analysis, Graph Theory, Predictive Analytics, Telecommunications, Pandas (Python Package), Matplotlib, Algorithms, Probability & Statistics, Data Manipulation

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Đ˜ŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐ” Đž ĐłĐ”ĐœĐ”Ń€Đ°Ń†ĐžŃ ĐŽĐ°ĐœĐœŃ‹Ń… ĐŽĐ»Ń ĐżŃ€ĐžĐœŃŃ‚ĐžŃ Đ±ĐžĐ·Đœ.-Ń€Đ”Ńˆ.

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

    statistics for data science
    statistics with r
    statistics for data science with python
    statistics with python
    statistics foundations
    statistics and data analysis with r
    statistics and data analysis with excel, part 1
    statistics in psychological research
    1
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    In summary, here are 10 of our most popular statistics courses

    • Fundamentos de InteligĂȘncia Artifical em Marketing: Fundação Instituto de Administração
    • Copilot for Beginners: Sales Data Analysis in Excel: Coursera Project Network
    • Household Surveys for Program Evaluation in LMICs: Johns Hopkins University
    • Sales Analysis with Claude: Data Driven Sales Analytics: Coursera Project Network
    • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
    • Data Analysis with the FraudFinder Workshop: Google Cloud
    • GenAI for Learning and Development: Coursera Instructor Network
    • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
    • Aggregate Data in SQL using MySQL Workbench: Coursera Project Network
    • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins 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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