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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
    U

    University of Michigan

    Capstone: Retrieving, Processing, and Visualizing Data with Python

    Skills you'll gain: Data Processing, Data Visualization, Interactive Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Exploratory Data Analysis With Python and Pandas

    Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    442 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Basic Statistics in Python (Correlations and T-tests)

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Python for Data Visualization:Matplotlib & Seaborn(Enhanced)

    Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization, Data Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    930 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Plotting, Charting & Data Representation in Python

    Skills you'll gain: Matplotlib, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package), Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    713 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Python for Data Visualization: Matplotlib & Seaborn

    Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Debugging: A Systematic Approach

    Skills you'll gain: Debugging, Data-oriented programming, Python Programming, Maintainability, Data Manipulation, Data Analysis, Technical Support

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization with Python

    Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Plotly, Matplotlib, Dashboard, Seaborn, Tableau Software, Scatter Plots, Histogram, Google Sheets, Microsoft Excel, Data Analysis, Pandas (Python Package), Python Programming, Cloud Applications, Data Manipulation, Business Communication

    4.2
    Rating, 4.2 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

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

  • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
  • Exploratory Data Analysis With Python and Pandas: Coursera
  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • Basic Statistics in Python (Correlations and T-tests): Coursera
  • Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera
  • Inferential Statistical Analysis with Python: University of Michigan
  • Applied Plotting, Charting & Data Representation in Python: University of Michigan
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Python for Data Visualization: Matplotlib & Seaborn: Coursera
  • Python Debugging: A Systematic Approach: University of Michigan

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