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    Results for "statistics"

    • Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Probability & Statistics, Data Validation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Packt

      Mathematical Foundations and Quantum Mechanics Essentials

      Skills you'll gain: Applied Mathematics, Mathematics and Mathematical Modeling, Linear Algebra, Probability, Mathematical Modeling, Computer Science, Algebra, Probability & Statistics, Statistics, Physics, Mechanics, Emerging Technologies

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Corporate Finance Institute

      Fundamentals of Data Analysis in Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Dashboard, Data Transformation, Data Analysis, Excel Formulas, Exploratory Data Analysis, Data Visualization Software, Data Presentation, Data Manipulation, Data Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 3 Months

    • Edureka

      Introduction to PySpark

      Skills you'll gain: PySpark, Apache Spark, Distributed Computing, Big Data, Apache Hadoop, Data Processing, Data Manipulation, Exploratory Data Analysis, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Project Network

      Building Candlestick Charts with Google Sheets

      Skills you'll gain: Technical Analysis, Google Sheets, Market Data, Data Visualization, Trend Analysis, Web Scraping, Data Visualization Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      289 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Duke University

      Financial Risk Management with R

      Skills you'll gain: Financial Market, Risk Management, Market Data, Risk Analysis, Probability Distribution, Financial Data, R Programming, Financial Modeling, Portfolio Management, Statistical Programming, Financial Analysis, Securities (Finance), Time Series Analysis and Forecasting, Probability & Statistics, Statistical Modeling

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      248 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Coursera

      Setting a Generative AI Strategy

      Skills you'll gain: Generative AI, Strategic Thinking, Business Strategy, Growth Strategies, Organizational Strategy, Customer experience strategy (CX), Technology Strategies, Business Modeling, Thought Leadership, Value Propositions, Productivity Software, Artificial Intelligence, Operational Efficiency, Trend Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      60 reviews

      Beginner · Course · 1 - 4 Weeks

    • Coursera Project Network

      Interactive Statistical Data Visualization 101

      Skills you'll gain: Plotly, Plot (Graphics), Statistical Visualization, Box Plots, Scatter Plots, Interactive Data Visualization, Data Visualization Software, Histogram

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Data Analysis, Interactive Data Visualization, Data Import/Export, Data Visualization

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 3 - 6 Months

    • Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • University of Colorado Boulder

      Data Science as a Field

      Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L&T EduTech

      Mastering Geospatial Analysis with QGIS

      Skills you'll gain: Spatial Analysis, GIS Software, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Building Information Modeling, Data Manipulation, Global Positioning Systems, Network Analysis, Image Analysis, Data Import/Export, Unsupervised Learning, Software Installation, Supervised Learning, UI Components

      4
      Rating, 4 out of 5 stars
      ·
      20 reviews

      Advanced · Course · 1 - 3 Months

    Searches related to statistics

    statistics for data science
    statistics with python
    statistics with r
    statistics for data analysis
    statistics for data science with python
    statistics and data analysis with excel, part 1
    statistics foundations
    statistics in psychological research
    1…525354…107

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

    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Mathematical Foundations and Quantum Mechanics Essentials: Packt
    • Fundamentals of Data Analysis in Excel: Corporate Finance Institute
    • Introduction to PySpark: Edureka
    • Building Candlestick Charts with Google Sheets: Coursera Project Network
    • Financial Risk Management with R: Duke University
    • Setting a Generative AI Strategy: Coursera
    • Interactive Statistical Data Visualization 101: Coursera Project Network
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network

    Frequently Asked Questions about Statistics

    Top statistics courses include Introduction to Statistics from Stanford University, Business Statistics and Analysis from Rice University, and Statistics with Python from the University of Michigan. These courses cover descriptive statistics, probability, hypothesis testing, and statistical modeling.‎

    Yes. Many statistics courses offer a free audit option, allowing you to access video lessons and reading materials without payment. If you want to complete assignments or earn a certificate, you’ll need to pay or apply for financial aid.‎

    You’ll learn how to collect, interpret, and present data; calculate key metrics like mean and standard deviation; and apply statistical techniques such as regression analysis, probability distributions, and confidence intervals. Some courses also include hands-on practice with Excel, R, or Python.‎

    Not necessarily. Many Coursera statistics courses are designed for beginners and explain core concepts step by step. Some basic comfort with numbers is helpful, but you don’t need advanced math experience to get started.‎

    Yes. Statistics is essential in fields like business, healthcare, data science, psychology, and research. Learning statistics on Coursera can help you analyze data, make informed decisions, and gain skills that are valuable in both academic and professional settings.‎

    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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