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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
    Status: AI skills
    AI skills
    G

    Google

    Google Digital Marketing & E-commerce

    Skills you'll gain: Data Storytelling, Media Planning, Social Media Marketing, Google Ads, Email Marketing, Social Media Strategy, Order Fulfillment, Paid media, Social Media Management, Online Advertising, Search Engine Optimization, Performance Measurement, Spreadsheet Software, Client Services, Campaign Management, E-Commerce, Loyalty Programs, Marketing, Web Presence, Interviewing Skills

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    51K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Excel

    Skills you'll gain: Excel Macros, Data Visualization, Prompt Engineering, Excel Formulas, Microsoft Excel, Data Cleansing, Data Presentation, Pivot Tables And Charts, Microsoft Copilot, Data Visualization Software, Data Storytelling, Spreadsheet Software, Forecasting, Dashboard Creation, Report Writing, Data Processing, Data Manipulation, Data Analysis, Data Synthesis, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    507 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Engineering

    Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Management, Databases, Unit Testing, Data Transformation, Data Access, Data Capture, Package and Software Management, Application Programming Interface (API), Data Integration, Data Wrangling, Integrated Development Environments, Data Pipelines, Maintainability, Python Programming, Programming Principles, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
    ·
    857 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Coding Interview Preparation

    Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Technical Communication, Computer Programming, Graph Theory, Software Design Patterns, Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    824 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Science and Research, Data Processing, Data Analysis, Computer Science, Correlation Analysis, Biotechnology, Statistical Analysis, Computational Thinking, Life Sciences, Probability & Statistics, Statistics, Software Engineering, Algorithms, Biology

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistics, Bayesian Statistics, Statistical Software, Statistical Inference, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Generative Model Architectures, Prompt Engineering, AI literacy, Google Cloud Platform, Large Language Modeling, Artificial Intelligence, Deep Learning, Statistical Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Automation

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, AI Workflows, AI powered creativity, Responsible AI, Data Visualization, Document Management, Verification And Validation, Ideation, Data Presentation, LLM Application, AI literacy, Generative AI, AI Enablement, Risking, Multimodal Prompts, Image Analysis, Artificial Intelligence, Data Compilation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N
    G
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Machine Learning Software, Time Series Analysis and Forecasting, Applied Machine Learning, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google IT Automation with Python

    Skills you'll gain: Version Control, Cloud Management, Test Automation, Infrastructure As A Service (IaaS), Cloud Computing, Cloud Infrastructure, Virtual Machines, Development Testing, Test Script Development, Scripting, Network Troubleshooting, Cloud Services, Email Automation, Web Presence, Python Programming, CI/CD, Configuration Management, Program Development, Containerization, Unit Testing

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    55K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Analytics Foundations

    Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Data Literacy, Data Presentation, Data Visualization Software, LLM Application, Business Analysis, Requirements Analysis, Data Analysis, Analytics, Business Requirements, Analytical Skills, Exploratory Data Analysis, Data-Driven Decision-Making, Productivity Software, Google Workspace

    4.8
    Rating, 4.8 out of 5 stars
    ·
    218 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Google Digital Marketing & E-commerce: Google
  • Microsoft Excel: Microsoft
  • Machine Learning with Python: IBM
  • Python Project for Data Engineering: IBM
  • Coding Interview Preparation: Meta
  • Introduction to Genomic Technologies: Johns Hopkins University
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Introduction to Generative AI: Google Cloud
  • Generative AI Automation: Vanderbilt University
  • Machine Learning for Trading: New York Institute of Finance

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