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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

    • C

      Coursera Project Network

      Data Analysis with Python: Inform a Business Decision

      Skills you'll gain: Data Visualization, Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Business Analysis, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

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

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Foundations of Machine Learning

      Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      GRAMMY GO

      Strategies for Audience Growth and Promoting Music Brands

      Skills you'll gain: Marketing Budgets, Digital Media Strategy, Content Strategy, Promotional Strategies, Marketing Analytics, Customer Engagement, Content Marketing, Brand Awareness, Marketing Strategies, Trend Analysis, Brand Strategy, Social Media Marketing, Target Audience, Social Media Strategy, Data-Driven Decision-Making, Campaign Management, Key Performance Indicators (KPIs), Strategic Partnership, Return On Investment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Visualizing Data in the Tidyverse

      Skills you'll gain: Ggplot2, Plot (Graphics), Statistical Visualization, Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Histogram, Animations, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      O

      O.P. Jindal Global University

      Artificial Intelligence

      Skills you'll gain: Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Business Strategy, Decision Tree Learning, Taxonomy, Decision Support Systems, Strategic Decision-Making, Text Mining, Bayesian Statistics, Information Architecture, Game Design, Complex Problem Solving, Algorithms, Probability & Statistics

      Build toward a degree

      Mixed · Course · 3 - 6 Months

    • C

      Coursera Project Network

      K-Means Clustering 101: World Happiness Report

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Economics, Policy, and Social Studies, Exploratory Data Analysis, Data Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Association Rules Analysis

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Machine Learning Methods, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Processing, Data Analysis, Machine Learning Algorithms, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 4

      Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Analysis, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Exploratory Data Analysis, Machine Learning, Random Forest Algorithm, Statistical Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      I

      IBM

      Machine Learning Rapid Prototyping with IBM Watson Studio

      Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, Python Programming, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

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

      University of Michigan

      NumPy and Pandas Basics for Future Data Scientists

      Skills you'll gain: Debugging, Data Analysis, Critical Thinking

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Supervised Text Classification for Marketing Analytics

      Skills you'll gain: Supervised Learning, Marketing Analytics, Machine Learning, Deep Learning, Machine Learning Algorithms, Tensorflow, Scikit Learn (Machine Learning Library), Python Programming, Marketing, Natural Language Processing, Google Cloud Platform, Artificial Neural Networks, Text Mining, Performance Metric

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…828384…113

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

    • Data Analysis with Python: Inform a Business Decision: Coursera Project Network
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Foundations of Machine Learning : Fractal Analytics
    • Strategies for Audience Growth and Promoting Music Brands: GRAMMY GO
    • Visualizing Data in the Tidyverse: Johns Hopkins University
    • Artificial Intelligence: O.P. Jindal Global University
    • K-Means Clustering 101: World Happiness Report: Coursera Project Network
    • Association Rules Analysis: University of Colorado Boulder
    • Interpretable Machine Learning Applications: Part 4: Coursera Project Network
    • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM

    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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