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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.


Popular Statistics Courses and Certifications


  • Status: Free Trial
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    S

    SAS

    SAS Programmer

    Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Requirements Analysis, Statistical Programming, Exploratory Data Analysis, Data Cleansing, Statistical Analysis, Data Processing, Data Preprocessing, Data Integration, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    E

    Emory University

    Foundations of Marketing Analytics

    Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Consumer Behaviour, Descriptive Statistics, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Target Market, Marketing Effectiveness, Social Media, Model Evaluation, Business Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Marketing

    4.3
    Rating, 4.3 out of 5 stars
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    529 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    Universidade de São Paulo

    Marketing Digital

    Skills you'll gain: Search Engine Marketing, Digital Marketing, Email Marketing, Google Ads, Marketing Strategies, Search Engine Optimization, Google Analytics, Online Advertising, A/B Testing, Pay Per Click Advertising, Advertising Campaigns, Web Analytics, Digital Advertising, Facebook, Campaign Management, Marketing Analytics, Return On Investment, Performance Measurement

    4.7
    Rating, 4.7 out of 5 stars
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    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Relational Database Administration (DBA)

    Skills you'll gain: Database Administration, Database Management, Database Architecture and Administration, Relational Databases, Operational Databases, Database Systems, IBM DB2, MySQL, Performance Tuning, PostgreSQL, Disaster Recovery, Data Storage Technologies, Database Design, System Monitoring, Role-Based Access Control (RBAC), User Accounts, Encryption

    4.5
    Rating, 4.5 out of 5 stars
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    258 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    179 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    S

    SAS

    Getting Started with SAS Programming

    Skills you'll gain: SAS (Software), Data Import/Export, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Data Analysis, Data Transformation, SQL, Microsoft Excel, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Yellow Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process, Project Management

    4.7
    Rating, 4.7 out of 5 stars
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    4.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    L

    LearnQuest

    Machine Learning for Supply Chains

    Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Trend Analysis, Data Visualization, Customer Demand Planning, Machine Learning, Data Science, Data Analysis

    3.4
    Rating, 3.4 out of 5 stars
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    85 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
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    286 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management

    3.5
    Rating, 3.5 out of 5 stars
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    246 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • SAS Programmer: SAS
  • Foundations of Marketing Analytics: Emory University
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Marketing Digital: Universidade de São Paulo
  • Relational Database Administration (DBA): IBM
  • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
  • Getting Started with SAS Programming: SAS
  • Six Sigma Yellow Belt: Kennesaw State University
  • Machine Learning for Supply Chains: LearnQuest
  • Deep Learning and Reinforcement Learning: IBM

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