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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: Free Trial
    Free Trial
    F

    Fractal Analytics

    Python for Data Science

    Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Preprocessing, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Business Analytics, Jupyter, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    98 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Mathematics for Engineering

    Skills you'll gain: Data Analysis, Computational Logic, Engineering Calculations, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Analytical Skills, Bayesian Statistics, Differential Equations, Programming Principles, Statistical Inference, Theoretical Computer Science, Numerical Analysis, Descriptive Analytics, Applied Mathematics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    186 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
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free
    Free
    E

    Erasmus University Rotterdam

    Enjoyable Econometrics

    Skills you'll gain: Econometrics, Data Collection, Probability & Statistics, Regression Analysis, Survey Creation, Statistics, Quantitative Research, Descriptive Statistics, Data Literacy, Time Series Analysis and Forecasting, Statistical Analysis, Model Evaluation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    130 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Introduction to Electronics

    Skills you'll gain: Electronic Components, Semiconductors, Electronics, Electrical Engineering, Basic Electrical Systems, Electronics Engineering, Engineering Analysis, Schematic Diagrams

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Q

    Queen Mary University of London

    Research Instruments and Research Hypotheses

    Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Collection, Quantitative Research, Research Methodologies, Data Preprocessing, Statistics, Data Analysis, Descriptive Statistics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Data Visualization, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Data Science, AI Workflows, Data Synthesis, Data Preprocessing, Data Analysis, Deep Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Materials Data Sciences and Informatics

    Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Big Data, Structural Analysis, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    350 reviews

    Intermediate · Course · 1 - 3 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, User Requirements Documents, Electronics, Functional Requirement, Operating System Administration, Electronic Components, Systems Design, Operating Systems, Requirements Analysis, Network Protocols, Debugging, 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: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

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

  • Python for Data Science: Fractal Analytics
  • Python for Data Science, AI & Development: IBM
  • Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Enjoyable Econometrics: Erasmus University Rotterdam
  • Machine Learning: University of Washington
  • Introduction to Electronics: Georgia Institute of Technology
  • Research Instruments and Research Hypotheses: Queen Mary University of London
  • Generative AI for Data Scientists: IBM
  • Materials Data Sciences and Informatics: Georgia Institute of Technology

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