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  • Python For Statistics

Python for Statistics Courses

Python for Statistics courses can help you learn data analysis, hypothesis testing, regression analysis, and probability distributions. You can build skills in data visualization, statistical modeling, and interpreting results to make informed decisions. Many courses introduce tools like Pandas for data manipulation, NumPy for numerical calculations, and Matplotlib for creating visual representations of data, all of that support applying statistical techniques effectively.


Popular Python for Statistics Courses and Certifications


  • C

    Coursera

    Statistics For Data Science

    Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

    4
    Rating, 4 out of 5 stars
    ·
    42 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Web Development with Python

    Skills you'll gain: Web Development, Flask (Web Framework), Restful API, Cloud Deployment, Selenium (Software), Front-End Web Development, Web Applications, Full-Stack Web Development, Object-Relational Mapping, JavaScript Frameworks, Application Security, HTML and CSS, Back-End Web Development, Databases, Application Programming Interface (API), Python Programming, Vue.JS, Relational Databases, SQL, Collaboration

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Python to Access Web Data

    Skills you'll gain: Web Scraping, Restful API, Web Services, JSON, Extensible Markup Language (XML), Network Protocols, Application Programming Interface (API), Data Processing, Hypertext Markup Language (HTML), Python Programming, Data Manipulation, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    45K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistics for Genomic Data Science

    Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression

    4.2
    Rating, 4.2 out of 5 stars
    ·
    378 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Developing AI Applications with Python and Flask

    Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Unit Testing, Python Programming, Web Applications, Software Development Life Cycle, IBM Cloud, Artificial Intelligence, Code Review, Integrated Development Environments, Natural Language Processing, Programming Principles

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Linear Regression for Business Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Applied Statistics for Data Analytics

    Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), LLM Application, Spreadsheet Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    57 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Statistics for Data Science Essentials

    Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    608 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Basic Inferential Statistics for Psychology

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, Probability Distribution, Quantitative Research, Statistical Analysis, Statistical Software, Statistical Inference, Sampling (Statistics), Data Analysis, Analysis, Statistics, Probability, Analytical Skills, Regression Analysis, Psychology, Research Design, Research

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Inferential and Predictive Statistics for Business

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Business Analytics, Statistical Analysis, Analytics, Microsoft Excel, Statistical Modeling, Probability & Statistics, Statistical Methods, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    873 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Statistics For Data Science: Coursera
  • Web Development with Python: Microsoft
  • Using Python to Access Web Data: University of Michigan
  • Machine Learning with Python: IBM
  • Statistics for Genomic Data Science: Johns Hopkins University
  • Developing AI Applications with Python and Flask: IBM
  • Linear Regression for Business Statistics: Rice University
  • Applied Statistics for Data Analytics: DeepLearning.AI
  • Statistics for Data Science Essentials: University of Pennsylvania
  • Inferential Statistics: University of Amsterdam

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