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  • Basic Statistics

Basic Statistics Courses

Basic Statistics courses can help you learn data collection methods, descriptive statistics, probability distributions, and hypothesis testing. You can build skills in interpreting data sets, conducting surveys, and performing regression analysis. Many courses introduce tools like Excel, R, and Python, that support analyzing data and visualizing results. By applying these skills and tools, you can effectively communicate findings and make informed decisions based on statistical evidence.


More to explore:

Popular Basic Statistics Courses and Certifications


  • Status: New
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    R

    Red Hat

    Fundamentals of Red Hat JBoss EAP

    Skills you'll gain: Application Servers, Data Migration, Enterprise Application Management, Java Platform Enterprise Edition (J2EE), Servers, Java, Application Deployment, Software Installation, Configuration Management, Identity and Access Management, Command-Line Interface, System Configuration, Authentications

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Packt

    Unveiling the NIST Risk Management Framework (RMF)

    Skills you'll gain: Continuous Monitoring, Security Controls, Cybersecurity, Risk Management Framework, Cyber Risk, NIST 800-53, Risk Management, Cloud Security, Cyber Security Assessment, Incident Response, Authorization (Computing), Vulnerability Assessments, Disaster Recovery

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    N
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    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    E

    Edureka

    AI Agent Orchestration and Scaling

    Skills you'll gain: AI Orchestration, Model Deployment, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, AI Security, Artificial Intelligence, Prompt Engineering, Generative AI, Product Support, OpenAI API, Retrieval-Augmented Generation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Regression Analysis, Data Cleansing, Correlation Analysis, Data Preprocessing, Matplotlib, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Statistical Inference, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    201 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Michigan State University

    Getting Started With Music Theory

    Skills you'll gain: Music Theory, Music, Musical Composition, Classical Music

    4.5
    Rating, 4.5 out of 5 stars
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    758 reviews

    Beginner · Course · 1 - 4 Weeks

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    Advancing Women in Tech

    AI Automation with Claude

    Skills you'll gain: AI Workflows, Retrieval-Augmented Generation, Business Process Automation, Multimodal Prompts, Image Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Illinois Tech

    Advanced Statistical Techniques for Data Science

    Skills you'll gain: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, R (Software), Data Mining, Statistical Programming, Predictive Modeling

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    46 reviews

    Intermediate · Specialization · 3 - 6 Months

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    New York University

    Introduction to Cyber Attacks

    Skills you'll gain: Security Engineering, Threat Modeling, Distributed Denial-Of-Service (DDoS) Attacks, Cyber Attacks, Cybersecurity, Cyber Risk, Application Security, Threat Detection, Information Systems Security, Network Security, Computer Security, Encryption

    4.7
    Rating, 4.7 out of 5 stars
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    2.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of California San Diego

    Designing, Running, and Analyzing Experiments

    Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, UI/UX Research, R Programming, User Experience, Human Computer Interaction, Statistics, Data Validation, Statistical Modeling, Regression Analysis, Logistic Regression

    3.6
    Rating, 3.6 out of 5 stars
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    595 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Control Systems Analysis: Modeling of Dynamic Systems

    Skills you'll gain: Control Systems, Mathematical Modeling, Engineering Analysis, Differential Equations, Diagram Design, Systems Analysis, Electrical Systems, Mechanics, Systems Thinking, Applied Mathematics, Performance Testing, Basic Electrical Systems

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    115 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Fundamentals of Red Hat JBoss EAP: Red Hat
  • Unveiling the NIST Risk Management Framework (RMF): Packt
  • Machine Learning for Trading: Google Cloud
  • Introduction to Data Engineering: IBM
  • AI Agent Orchestration and Scaling: Edureka
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Getting Started With Music Theory: Michigan State University
  • AI Automation with Claude: Advancing Women in Tech
  • Advanced Statistical Techniques for Data Science: Illinois Tech
  • Introduction to Cyber Attacks: New York University

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