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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
      C

      Coursera

      Building a Machine Learning Solution

      Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Capstone Project: Digital Marketing and Growth Hacking

      Skills you'll gain: Digital Advertising, Paid media, Presentations, Social Media Campaigns, Advertising Campaigns, Digital Marketing, Web Analytics, Search Engine Optimization, Content Strategy, LinkedIn, Content Marketing, Social Media Marketing, Marketing Analytics, Target Audience, E-Commerce, Social Media Strategy, Smart Goals, Business Analysis, Market Analysis

      Advanced · Course · 1 - 3 Months

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

      EDUCBA

      Matplotlib: Python Data Visualization & Wrangling

      Skills you'll gain: Matplotlib, Data Storytelling, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Scatter Plots, Data Processing, Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Pandas (Python Package), Image Quality, Data Visualization Software, Python Programming

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Master House Price Prediction with Linear Regression

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Data Manipulation, Statistical Modeling, Statistical Methods, Pandas (Python Package), Data Visualization Software

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Credit Default Prediction with Python: Apply & Analyze

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Black Belt

      Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Methodologies, Process Improvement, Team Management, Process Capability, Data Collection, Knowledge Transfer, Team Building, Statistical Hypothesis Testing, Meeting Facilitation, Continuous Improvement Process, Performance Measurement, Conflict Management, Process Analysis, Sampling (Statistics), Quality Control, Team Leadership, Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      785 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Statistical Modeling, Machine Learning, Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Speed Up Data Analysis and Presentation Building

      Skills you'll gain: Data Visualization, Data Presentation, Responsible AI, Data Storytelling, Prompt Engineering, Graphing, Data Analysis, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      502 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Diagnostic Radiology, Predictive Modeling, Data Processing, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Keras (Neural Network Library), Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Magnetic Resonance Imaging, Probability & Statistics, X-Ray Computed Tomography

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    Searches related to statistics

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    1…232425…117

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

    • Building a Machine Learning Solution: Coursera
    • Capstone Project: Digital Marketing and Growth Hacking: IBM
    • Matplotlib: Python Data Visualization & Wrangling: EDUCBA
    • Python: Master House Price Prediction with Linear Regression: EDUCBA
    • Credit Default Prediction with Python: Apply & Analyze: EDUCBA
    • Six Sigma Black Belt: Kennesaw State University
    • Data Analysis and Interpretation: Wesleyan University
    • Exploratory Data Analysis for Machine Learning: IBM
    • Speed Up Data Analysis and Presentation Building: Google
    • AI for Medical Diagnosis: DeepLearning.AI

    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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