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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
    D

    Duke University

    Data Visualization and Communication with Tableau

    Skills you'll gain: Data Storytelling, Dashboard, Tableau Software, Data Visualization, Business Analytics, Business Process, Business Process Improvement, Presentations, Data Visualization Software, Data Analysis, Visualization (Computer Graphics), Stakeholder Communications, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Unilever

    Unilever Supply Chain Data Analyst

    Skills you'll gain: Data Governance, Descriptive Analytics, Data Storytelling, Supply Chain, Supply Chain Management, Demand Planning, Presentations, Data Visualization, Supply Chain Systems, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Process Improvement, Data Management, Data Lakes, Predictive Analytics, Forecasting, Data Analysis, Data Analysis Software, Real Time Data, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    580 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Intro to Generative AI: A Beginner's Primer on Core Concepts

    Skills you'll gain: Responsible AI, LLM Application, Prompt Patterns, Generative Model Architectures, Regulatory Compliance, AI Product Strategy, Organizational Structure, Stakeholder Management, Deep Learning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with R

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Statistical Modeling, Web Scraping, Ggplot2, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, Statistical Methods, R Programming, Data Science, Data Wrangling, Data Cleansing, Version Control

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Case Studies, Forecasting, Probability, Linear Algebra, Peer Review

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning RNN & LSTM: Stock Price Prediction

    Skills you'll gain: Data Processing, Data Transformation, Financial Forecasting, Feature Engineering, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Pandas (Python Package), Tensorflow, Artificial Neural Networks, Matplotlib, NumPy

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C, Go, and C++: A Comprehensive Introduction to Programming

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, C and C++, C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Object Oriented Design, Unit Testing, Integrated Development Environments, Algorithms, Pseudocode, Command-Line Interface, Graph Theory, Computer Science, File Systems, Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Data Cleansing, Data Access, Deep Learning, Data Analysis, Applied Machine Learning, Predictive Modeling, Statistical Inference, Data Science, Machine Learning Algorithms, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Java Programming for Beginners

    Skills you'll gain: Java Programming, Java, Development Environment, Programming Principles, Computer Programming, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    113 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Excel for Beginners: Pivot Tables

    Skills you'll gain: Pivot Tables And Charts, Spreadsheet Software, Microsoft Excel, Data Visualization Software, Google Sheets

    4.6
    Rating, 4.6 out of 5 stars
    ·
    169 reviews

    Beginner · Guided Project · Less Than 2 Hours

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1…565758…834

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

  • Data Visualization and Communication with Tableau: Duke University
  • Unilever Supply Chain Data Analyst: Unilever
  • Intro to Generative AI: A Beginner's Primer on Core Concepts: Google Cloud
  • Machine Learning with Python: Build & Optimize: EDUCBA
  • Machine Learning: Regression: University of Washington
  • Data Science with R: Duke University
  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA
  • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
  • IBM Machine Learning: IBM

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