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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: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals, Part 2

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

      Beginner · Specialization · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Understanding the Healthcare Innovation Process II

      Skills you'll gain: Lean Six Sigma, Performance Improvement, Statistical Process Controls, Operational Analysis, Process Improvement, Quality Improvement, Health Informatics, Statistical Methods, Continuous Improvement Process, Innovation, Telehealth, Operations Management, Medical Devices, Probability & Statistics, Problem Solving

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 2: Unit 1

      Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 1: Unit 3

      Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 1: Unit 1

      Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      I

      Infosec

      CompTIA Data+

      Skills you'll gain: Data Integration, Data Analysis, Data Mining, Data-Driven Decision-Making, Data Modeling, Data Governance, Business Analytics, Data Visualization, Statistical Analysis, Dashboard, Data Warehousing, Data Storage, Data Security, Data Quality, Descriptive Statistics, Data Cleansing, Data Integrity, Relational Databases, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Linear Algebra and Regression Fundamentals for Data Science

      Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Octave for Machine Learning: Data Analysis Mastery

      Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Data Visualization, Descriptive Statistics, Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Programming Principles, Python Programming, Data Analysis

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Foundations of Business Strategy and Research

      Skills you'll gain: Qualitative Research, Market Research, Strategic Decision-Making, Key Performance Indicators (KPIs), Quantitative Research, Innovation, Target Audience, Data-Driven Decision-Making, Sustainable Business, Benchmarking, Business Acumen, Value Propositions, Descriptive Statistics, Performance Measurement, Ideation, Team Performance Management, Competitive Analysis, Risk Management, Business Strategy, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      177 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Data Science, Quantitative Research, Machine Learning, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      53 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Analyze Web Logs with Kibana & Elasticsearch

      Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Web Analytics, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Business Intelligence, Data Import/Export

      Mixed · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…181920…117

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

    • Data Science Fundamentals, Part 2: Pearson
    • Understanding the Healthcare Innovation Process II: University of Illinois Urbana-Champaign
    • Data Science Fundamentals Part 2: Unit 1: Pearson
    • Data Science Fundamentals Part 1: Unit 3: Pearson
    • Foundations of Data Science and Machine Learning with Python: Packt
    • Data Science Fundamentals Part 1: Unit 1: Pearson
    • CompTIA Data+: Infosec
    • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
    • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
    • Foundations of Business Strategy and Research: Coursera Instructor Network

    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.

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