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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.


Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Amsterdam

    Introduction to Communication Science

    Skills you'll gain: Culture, Interpersonal Communications, Media and Communications, Research, Persuasive Communication, Qualitative Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Enablement, Data Storytelling, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Business Strategy, Machine Learning, Context Management

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

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Simplilearn

    Data Analytics Course with Generative AI

    Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Interactive Data Visualization, Data Visualization, Real Time Data, Predictive Analytics, Data-Driven Decision-Making, Data Storytelling, Predictive Modeling, Forecasting, Data Transformation, Descriptive Analytics, Data Modeling, Data Quality, Risk Analysis, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Mining in Python

    Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Python Programming, Classification Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data – What It Is, What We Can Do With It

    Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Basics

    Skills you'll gain: Debugging, Programming Principles, Program Development, Python Programming, Data Structures, Computer Programming, Computer Graphics, Diagram Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Advanced Statistical Techniques for Data Science

    Skills you'll gain: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, R (Software), Data Mining, Statistical Programming, Predictive Modeling

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    46 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Data Science Fundamentals

    Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Model Evaluation, Unsupervised Learning, Natural Language Processing, Analysis, Predictive Analytics, Regression Analysis, Data Mining, Data Strategy, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Supervised Learning, Cloud Computing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    259 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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
    ·
    7.5K reviews

    Beginner · Course · 1 - 3 Months

  • 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, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    714 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
  • Introduction to Communication Science: University of Amsterdam
  • Generative AI for Business Analysts: IBM
  • Data Analytics Course with Generative AI: Simplilearn
  • Data Mining in Python: University of Michigan
  • Data – What It Is, What We Can Do With It: Johns Hopkins University
  • Python Basics: University of Michigan
  • Advanced Statistical Techniques for Data Science: Illinois Tech
  • Data Science Fundamentals: University of California, Irvine
  • Getting Started in Google Analytics: Coursera

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