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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


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Python for Genomic Data Science

    Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Object Oriented Programming (OOP), Scripting, Data Processing, Package and Software Management, Data Manipulation, File Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.8K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Python Course for Data Analysis - Become Data Analyst

    Skills you'll gain: Scatter Plots, Jupyter, Programming Principles, Histogram

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Python for Finance: Investment Fundamentals & Data Analytics

    Skills you'll gain: Portfolio Management, Risk Analysis, Investment Management, Time Series Analysis and Forecasting, Financial Modeling, Object Oriented Programming (OOP), Simulations, Regression Analysis, Jupyter, Python Programming, Pandas (Python Package), NumPy, Matplotlib, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    450 reviews

    Mixed · Course · 1 - 3 Months

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

    Packt

    Data Visualization and Storytelling with Python

    Skills you'll gain: Scientific Visualization, Data Storytelling, Heat Maps, Data Mapping

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Analysis in Python

    Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Data Science, Python Programming, Programming Principles, Scripting, Computational Logic

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Analysis with Python

    Skills you'll gain: Unsupervised Learning, Regression Analysis, Dimensionality Reduction, Data Analysis, Anomaly Detection, Supervised Learning, Machine Learning, Analytics, Predictive Modeling, Statistical Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Feature Engineering, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Python for Data Science (and Version Control with GitHub)

    Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Interactive Data Visualization, Python Programming, NumPy, Data Analysis, Git (Version Control System), Jupyter, Data Transformation, Programming Principles

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Hello, Python!

    Skills you'll gain: Package and Software Management, Data Science, Computer Programming, Mathematical Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    38 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to python for statistics

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

  • Python for Genomic Data Science: Johns Hopkins University
  • Python Course for Data Analysis - Become Data Analyst: Packt
  • Python for Finance: Investment Fundamentals & Data Analytics: Packt
  • Statistics for Data Science with Python: IBM
  • Data Visualization and Storytelling with Python: Packt
  • Applied Unsupervised Learning in Python: University of Michigan
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Data Analysis in Python: Codio
  • Data Analysis with Python: University of Colorado Boulder
  • Python for Data Science (and Version Control with GitHub): Coursera

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