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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.


More to explore:

Popular Statistics Courses and Certifications


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    J

    Johns Hopkins University

    Cours intensif sur la science des données

    Skills you'll gain: Data Science, Data Literacy, Project Design, Data Analysis, Data Management, Data Presentation, Data-Driven Decision-Making, Business Analytics, Performance Metric, Machine Learning, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

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    U

    University of Colorado Boulder

    Efficient Programming

    Skills you'll gain: Software Architecture, Cloud Development

    Intermediate · Course · 1 - 3 Months

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    S

    SkillUp

    The DMAIC Framework - Define and Measure Phase

    Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Process Analysis, Data Collection, Project Scoping, Performance Measurement, Customer experience improvement, Quality Improvement, Quality Control

    4.9
    Rating, 4.9 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Data Science Decisions in Time

    Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Forecasting, Data Science, Strategic Decision-Making, Statistical Methods, Anomaly Detection, Applied Machine Learning, Cybersecurity, Statistical Analysis

    Intermediate · Specialization · 3 - 6 Months

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    W

    Whizlabs

    Exploratory Data Analysis in AWS

    Skills you'll gain: AWS Kinesis, Amazon Redshift, Data Preprocessing, Data Analysis, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation, Machine Learning, Data Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Coursera

    GenAI for Social Media and Influencer Marketing

    Skills you'll gain: Social Media Campaigns, AI Personalization, Social Media Marketing, Generative AI, Trend Analysis, Social Media, Canva (Software), Instagram, Social Media Strategy, Market Trend, Content Creation, ChatGPT, Automation, Creativity, Customer Engagement, Analytics

    Intermediate · Course · 1 - 4 Weeks

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    N

    Northeastern University

    An Overview of the U.S. Healthcare System

    Skills you'll gain: Health Systems, Managed Care, Patient-centered Care, Healthcare Industry Knowledge, Medicaid, Health Care Administration, Health Care, Medicare, Health Policy, Health Disparities, Health Equity, Cultural Diversity, Diversity Awareness, Telehealth, Economics, Trend Analysis

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Michigan

    Design Strategies for Maximizing Total Data Quality

    Skills you'll gain: Data Quality, Data Integrity, Data Validation, Data Governance, Quality Assurance, Data Collection, Data Strategy, Data Preprocessing, Data Analysis, Verification And Validation, Design Strategies, Sampling (Statistics)

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    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

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    E

    EDUCBA

    SPSS: Apply & Evaluate Cluster Analysis Techniques

    Skills you'll gain: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization

    4.9
    Rating, 4.9 out of 5 stars
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    19 reviews

    Mixed · Course · 1 - 4 Weeks

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    U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    G

    GRAMMY GO

    Strategies for Audience Growth and Promoting Music Brands

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

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Cours intensif sur la science des données: Johns Hopkins University
  • Efficient Programming: University of Colorado Boulder
  • The DMAIC Framework - Define and Measure Phase: SkillUp
  • Data Science Decisions in Time: Johns Hopkins University
  • Exploratory Data Analysis in AWS: Whizlabs
  • GenAI for Social Media and Influencer Marketing: Coursera
  • An Overview of the U.S. Healthcare System: Northeastern University
  • Design Strategies for Maximizing Total Data Quality: University of Michigan
  • Foundations of Data Visualization: Johns Hopkins University
  • SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA

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