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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.


Popular Basic Statistics Courses and Certifications


  • Status: Preview
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    G

    Georgia Institute of Technology

    Fundamentals of Engineering Exam Review

    Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Statistics, Mechanical Engineering, Probability, Engineering, Mechanics, Hydrology, Civil Engineering, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry, Trigonometry

    4.7
    Rating, 4.7 out of 5 stars
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    615 reviews

    Mixed · Course · 1 - 3 Months

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    U

    University of Colorado Boulder

    Science of Exercise

    Skills you'll gain: Exercise Science, Kinesiology, Physiology, Sports Medicine, Nutrition and Diet, Pharmacology, Public Health and Disease Prevention, Immunology, Preventative Care, Respiration, Athletic Training, Endocrinology, Chronic Diseases, Vital Signs, Biochemistry, Public Health, Mental Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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
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    824 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Information Technology (IT) and Cloud Fundamentals

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Generative AI, Cloud Security, Cloud Infrastructure, Cybersecurity, Cloud Platforms, Cloud Computing, Data Storage, Peripheral Devices, Computer Hardware, Cyber Attacks, System Configuration, Artificial Intelligence, Cloud Storage, OSI Models, General Networking, Data Security, Test Planning

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Business Analytics

    Skills you'll gain: People Analytics, Descriptive Analytics, Financial Statement Analysis, Business Analytics, Data-Driven Decision-Making, Customer Analysis, Human Capital, Human Resource Strategy, Operations Research, Financial Analysis, Marketing Analytics, Analytics, Operational Efficiency, Predictive Analytics, Customer Insights, Financial Data, Operational Analysis, Peer Review, Human Resources, Financial Accounting

    4.6
    Rating, 4.6 out of 5 stars
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    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
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    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Interactive UI & Animation with Advanced JavaScript

    Skills you'll gain: Responsive Web Design, Web Design, Cascading Style Sheets (CSS), User Interface (UI), Interactive Design, User Interface (UI) Design, Javascript, Front-End Web Development, Hypertext Markup Language (HTML), Animations, Web Development, Event-Driven Programming

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Classification Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Medical Terminology

    Skills you'll gain: Medical Terminology, Medical History Documentation, Pulmonology, Cardiology, Electronic Medical Record System, Medical Records, Endocrinology, Human Musculoskeletal System, Orthopedics, Obstetrics And Gynecology, Neurology, Gynecology, Urology, Hematology, Anatomy, Immunology, Diagnostic Tests, Patient Treatment, Physiology, Communication

    4.9
    Rating, 4.9 out of 5 stars
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    981 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    450 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    719 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to basic statistics

basic statistics in python (correlations and t-tests)
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In summary, here are 10 of our most popular basic statistics courses

  • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
  • Science of Exercise: University of Colorado Boulder
  • Six Sigma Black Belt: Kennesaw State University
  • Information Technology (IT) and Cloud Fundamentals: IBM
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Business Analytics: University of Pennsylvania
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Interactive UI & Animation with Advanced JavaScript: Packt
  • Foundations for Machine Learning: Dartmouth College
  • Medical Terminology: Rice University

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