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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

    • P

      Packt

      Certified Six Sigma Yellow Belt Training

      Skills you'll gain: Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Statistical Process Controls, Minitab, Waste Minimization, Data-Driven Decision-Making, Kaizen Methodology, Process Improvement, Solution Design, Project Management, Process Analysis, Lean Manufacturing, Data Collection, Pareto Chart, Process Mapping, Sampling (Statistics), Brainstorming, Customer Insights

      Beginner · Course · 3 - 6 Months

    • G

      Google Cloud

      Building Demand Forecasting with BigQuery ML

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Google Cloud Platform, Predictive Modeling, Big Data, Data Analysis, Data Manipulation, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      D

      Duke University

      Data Visualization and Modeling in Python

      Skills you'll gain: Matplotlib, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Visualization (Computer Graphics), Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Probability & Statistics, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • Status: Free
      Free
      C

      Coursera Project Network

      Оптимизация портфеля с помощью модели Марковица

      Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Correlation Analysis, Financial Market, Investment Management, Variance Analysis, Risk Modeling

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      J

      Johns Hopkins University

      Foundations of Data Visualization

      Skills you'll gain: Data Presentation, Graphic and Visual Design, Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Exploratory Data Analysis, Scatter Plots

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      A

      American Psychological Association

      Chi-Square Tests of Hypotheses About Frequency Tables

      Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Analytical Skills, Statistics, Psychology, Research

      Beginner · Course · 1 - 3 Months

    • A

      Arizona State University

      Dark Data Migration and Architecture

      Skills you'll gain: Data Transformation, Data Literacy, Engineering Management, Data-Driven Decision-Making, Computational Thinking, Exploratory Data Analysis, Data Integration, Capacity Management, Data Analysis, Decision Making, Data Modeling, Data Quality, Strategic Decision-Making, Data Strategy, Data Management, Unstructured Data, Complex Problem Solving, Design Thinking, Data Storage, Data Access

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Dashboards in Qlik Sense: Decision-Support Dashboards

      Skills you'll gain: Interactive Data Visualization, Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Integration, Heat Maps, Spatial Data Analysis, Data-Driven Decision-Making, Business Intelligence Software, Geospatial Information and Technology, Data Mapping

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Using Custom Fields in Looker Explores

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

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      TensorFlow Prediction: Identify Penguin Species

      Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Pennsylvania

      Intro to Data Analytics, SQL, and EDA Using Python

      Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Data Storage, Pandas (Python Package), Big Data, Data Science, Relational Databases, Data Management, Data Manipulation, Data Cleansing, NumPy

      Beginner · Course · 1 - 4 Weeks

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    statistics and data analysis with excel, part 1
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    1…909192…105

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

    • Certified Six Sigma Yellow Belt Training: Packt
    • Building Demand Forecasting with BigQuery ML: Google Cloud
    • Data Visualization and Modeling in Python: Duke University
    • GenAI for Learning and Development: Coursera Instructor Network
    • Оптимизация портфеля с помощью модели Марковица: Coursera Project Network
    • Foundations of Data Visualization: Johns Hopkins University
    • Chi-Square Tests of Hypotheses About Frequency Tables: American Psychological Association
    • Dark Data Migration and Architecture: Arizona State University
    • Dashboards in Qlik Sense: Decision-Support Dashboards: Coursera Project Network
    • Using Custom Fields in Looker Explores: Google Cloud

    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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