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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


  • S

    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Theoretical Computer Science, Probability Distribution

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

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    BigQuery for Data Analysts

    Skills you'll gain: Looker (Software), SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Dashboard Creation, Data Analysis, Data Visualization Software, Data Processing, Google Sheets, Query Languages, Google Cloud Platform, Data Import/Export, Data Integrity

    4.4
    Rating, 4.4 out of 5 stars
    ·
    80 reviews

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Data Wrangling for Business

    Skills you'll gain: Data Wrangling, Data Manipulation, Data Transformation, Data Integration, Extract, Transform, Load, Data Processing, Data Preprocessing, Data Cleansing, Data Quality, Alteryx, SQL, Data-Driven Decision-Making, Business Analysis, Data Pipelines, Relational Databases, Data Integrity, Internal Communications, Data Collection, Python Programming, Automation

    Mixed · Course · 1 - 3 Months

  • U

    Universidad Austral

    Excel aplicado a los negocios (Nivel Avanzado)

    Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Operations Research, Analysis, Business Analysis, Data Validation, Business Analytics, Data Import/Export, Resource Utilization, Process Optimization, Data Sharing, Trend Analysis, Data Integration, Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    612 reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Data Modeling, Business Analysis, Predictive Modeling, Forecasting, Predictive Analytics, Statistical Methods, Simulation and Simulation Software, Probability, Model Optimization, Logistic Regression, Probability Distribution, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google

    Introducing Data Analytics and Analytical Thinking

    Skills you'll gain: Analytics, Business Analytics, Data Infrastructure, Data Ethics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    46 reviews

    Beginner · Course · 1 - 3 Months

  • M

    Meta

    Programming with JavaScript

    Skills you'll gain: Jest (JavaScript Testing Framework), Web Development Tools, Javascript, Unit Testing, Web Applications, Programming Principles, Object Oriented Programming (OOP), Scripting Languages, Event-Driven Programming, Node.JS, Scripting, JSON, Computer Programming, Data Structures, Package and Software Management, Front-End Web Development, Functional Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    R: Code, Import, Transform Data

    Skills you'll gain: Data Transformation, Data Wrangling, R (Software), Data Analysis, Data Manipulation, R Programming, Data Cleansing, Scripting, Programming Principles, Data Structures

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Model Optimization, Generative AI, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Google Cloud Platform, Model Evaluation, Data Cleansing, Data Quality, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California, Davis

    Critical Thinking Skills for the Professional

    Skills you'll gain: Critical Thinking and Problem Solving, Problem Solving, Brainstorming, Critical Thinking, Independent Thinking, Constructive Feedback, Decision Making, Analysis, Personal Development, Self-Awareness, Collaboration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Peking University

    Chinese for HSK 4

    Skills you'll gain: Grammar, Oral Comprehension, Language Competency, Language Learning, Literacy, Culture, Vocabulary

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

1…616263…834

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

  • Game Theory: Stanford University
  • BigQuery for Data Analysts: Google Cloud
  • Data Wrangling for Business: Northeastern University
  • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
  • MLOps | Machine Learning Operations: Duke University
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Introducing Data Analytics and Analytical Thinking: Google
  • Programming with JavaScript: Meta
  • R: Code, Import, Transform Data: Coursera
  • Machine Learning on Google Cloud: Google Cloud

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