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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 Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Dashboard Creation, Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Dataflow, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Cloud Engineering, Data Architecture, Data Governance, Apache Kafka, Data Warehousing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Engineering, Cloud Computing, Generative AI, Generative Model Architectures, Data Processing, Big Data, LLM Application, AI literacy, Data Science, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    107K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming Fundamentals

    Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Program Development, Problem Solving, Solution Design, Computational Logic

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Statistics, Model Optimization, Applied Mathematics

    Build toward a degree

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Programming Principles, Program Development, Pseudocode, Problem Solving, Analytical Skills, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Computer Architecture, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Estimation for Data Science and AI

    Skills you'll gain: Statistical Inference, Statistical Methods, Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Probability Distribution, Probability, Artificial Intelligence

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    94 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Graphing, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Data Analysis Using Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Presentation, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Statistics and Data Analysis with Excel

    Skills you'll gain: Pivot Tables And Charts, Sample Size Determination, Interactive Data Visualization, Data Visualization, Statistical Inference, Data Visualization Software, Statistical Hypothesis Testing, Statistics, Data-Driven Decision-Making, Microsoft Excel, Correlation Analysis, Descriptive Statistics, Probability & Statistics, Data Analysis, Forecasting, Regression Analysis, Data Literacy, Statistical Modeling, Statistical Visualization, Data Presentation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    114 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing

    3.8
    Rating, 3.8 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
  • Key Technologies for Business: IBM
  • Programming Fundamentals: Duke University
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Statistical Estimation for Data Science and AI: University of Colorado Boulder
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Introduction to Data Analysis Using Excel: Rice University
  • Statistics and Data Analysis with Excel: Macquarie University

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