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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: Preview
    Preview
    P

    Peking University

    计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation

    Skills you'll gain: Language Interpretation, Translation, and Studies, Collaborative Software, Natural Language Processing, Document Management, Quality Assurance, Multilingualism, Vocabulary, Information Technology, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    83 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Infectious Disease Modelling

    Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Infectious Diseases, Public Health, Model Evaluation, R Programming, Differential Equations, Data Modeling, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    296 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing for DP-900: Microsoft Azure Data Fundamentals Exam

    Skills you'll gain: Microsoft Azure, Cloud Services, Relational Databases, Databases, Analytics, Data Storage, Data Lakes, NoSQL, Data Warehousing, SQL, Test Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    133 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    Tecnológico de Monterrey

    1.- El Cálculo - Modelo Lineal

    Skills you'll gain: Arithmetic, Mathematical Modeling, Digital pedagogy, Calculus, Applied Mathematics, Mathematical Theory & Analysis, Algebra, Graphing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    The Basics of Rocket Science

    Skills you'll gain: Mechanics, Engineering, Physics, Trigonometry, Calculus, Chemical Engineering, Mathematical Modeling, Electrical Power

    4.9
    Rating, 4.9 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    How Diffusion Models Work

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Sampling (Statistics), Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    276 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    R

    Rice University

    Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications

    Skills you'll gain: Environmental Monitoring, Water Quality, Hydrology, Environmental Engineering, Water Resources, Laboratory Testing, Environmental Science, Mathematical Modeling, Microbiology, Chemical Engineering, Chemistry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    510 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Unilever

    Unilever Digital Marketing Analyst

    Skills you'll gain: Data Storytelling, Marketing Automation, Web Analytics, Marketing Effectiveness, Marketing Analytics, Customer Insights, Digital Marketing, Social Media Campaigns, Market Analysis, Google Analytics, Social Media Marketing, Customer Analysis, Search Engine Marketing, Marketing Strategies, Social Media Strategy, Customer experience strategy (CX), Performance Reporting, Search Engine Optimization, Keyword Research, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    321 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Writing and Editing: Revising

    Skills you'll gain: Editing, Constructive Feedback, Concision, Writing, Proofreading, Critical Thinking, Detail Oriented, Collaboration, Time Management, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    399 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • 计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation: Peking University
  • Infectious Disease Modelling: Imperial College London
  • Preparing for DP-900: Microsoft Azure Data Fundamentals Exam: Microsoft
  • 1.- El Cálculo - Modelo Lineal: Tecnológico de Monterrey
  • The Basics of Rocket Science: University of Michigan
  • How Diffusion Models Work: DeepLearning.AI
  • Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications: Rice University
  • Introduction to Uncertainty Quantification: Johns Hopkins University
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Unilever Digital Marketing Analyst: Unilever

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