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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
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    C# for .NET Developers

    Skills you'll gain: C# (Programming Language), ASP.NET, .NET Framework, Object Oriented Programming (OOP), Web Applications, Programming Principles, Web Development, Debugging, Event-Driven Programming, Development Environment

    4.1
    Rating, 4.1 out of 5 stars
    ·
    302 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, AI Enablement, Generative AI, Artificial Intelligence, Large Language Modeling, Creativity, Problem Solving, Context Management, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Python for OOP - The A to Z OOP Python Programming Course

    Skills you'll gain: Programming Principles, Computer Programming, Software Design

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Excel for Beginners: Introduction to Spreadsheets

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Microsoft Office, Data Analysis Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    212 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Python NLTK for Beginners: Customer Satisfaction Analysis

    Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Data Preprocessing, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Generative AI, Fraud detection, Intrusion Detection and Prevention, Model Evaluation, Malware Protection, Cyber Threat Hunting, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Applied Machine Learning, Email Security, Network Security, Jupyter

    4.3
    Rating, 4.3 out of 5 stars
    ·
    111 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding Data: Navigating Statistics, Science, and AI

    Skills you'll gain: Histogram, Generative AI, Model Evaluation, Data Literacy, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Data Science, Data-Driven Decision-Making, Research Design, Statistical Visualization, AI Enablement, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Statistics and Data Analysis with Excel: Intermediate

    Skills you'll gain: Pivot Tables And Charts, Data Visualization, Statistical Inference, Data Visualization Software, Correlation Analysis, Microsoft Excel, Probability & Statistics, Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Excel Formulas, Statistical Analysis, Sampling (Statistics), Trend Analysis, Forecasting, Variance Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Fundamentals for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Data Preprocessing, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    466 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Foundations of ML & Python for Data Science: Packt
  • C# for .NET Developers: Board Infinity
  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • Prompt Engineering for ChatGPT: Vanderbilt University
  • Python for OOP - The A to Z OOP Python Programming Course: Packt
  • Excel for Beginners: Introduction to Spreadsheets: Coursera
  • Python NLTK for Beginners: Customer Satisfaction Analysis: Coursera
  • AI for Cybersecurity: Johns Hopkins University
  • Understanding Data: Navigating Statistics, Science, and AI: University of Michigan
  • Statistics and Data Analysis with Excel: Intermediate: Macquarie University

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