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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: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Everyday Excel, Part 1

    Skills you'll gain: Data Import/Export, Microsoft Excel, Data Visualization, Spreadsheet Software, Data Management, Excel Macros, Data Cleansing, Excel Formulas, Data Validation, Productivity Software, Data Sharing, Microsoft Word, Visual Basic (Programming Language), Problem Solving

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Risk Management

    Skills you'll gain: Credit Risk, Operational Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Derivatives, Governance, Portfolio Management, Capital Markets, Risk Analysis, Investment Management, Financial Analysis, Market Data, Key Performance Indicators (KPIs)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 3 - 6 Months

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

    Packt

    Intermediate Python and Practical Skills

    Skills you'll gain: JSON, Package and Software Management, Web Scraping, Application Programming Interface (API), File Management, Python Programming, Authentications, Scripting, Data Processing, Performance Testing, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Probability & Statistics, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Course · 1 - 3 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
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    An Introduction to Programming the Internet of Things (IOT)

    Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Basic Electrical Systems, Automation Engineering, Electronics, Functional Requirement, Operating System Administration, Electronic Components, Systems Design, Operating Systems, Network Protocols, Control Systems, Debugging, Electronic Hardware, Application Programming Interface (API), TCP/IP, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    758 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algorithms for Searching, Sorting, and Indexing

    Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Computational Thinking, Data Science, Analysis, Big Data, Probability & Statistics, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    518 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Agentic AI and AI Agents for Leaders

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Workflow Management, Agentic systems, LLM Application, Productivity, OpenAI, Artificial Intelligence, AI Personalization, Business Process Automation, AI Product Strategy, Personalized Service, Large Language Modeling, Automation, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Expense Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.6K reviews

    Beginner · Specialization · 1 - 3 Months

Searches related to basic statistics

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1…303132…403

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

  • Everyday Excel, Part 1: University of Colorado Boulder
  • Risk Management: New York Institute of Finance
  • Intermediate Python and Practical Skills: Packt
  • Algorithms: Stanford University
  • Exploratory Data Analysis for Machine Learning: IBM
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Natural Language Processing: DeepLearning.AI
  • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
  • Social and Economic Networks: Models and Analysis: Stanford University
  • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder

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