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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 Illinois Urbana-Champaign

    Managerial Economics and Business Analysis

    Skills you'll gain: Supply And Demand, Statistical Inference, Business Analytics, Descriptive Statistics, Sampling (Statistics), Market Dynamics, Statistical Hypothesis Testing, Financial Systems, Bank Regulations, Financial Policy, Banking, International Finance, Data-Driven Decision-Making, Data Analysis, Data Presentation, Economics, Statistical Analysis, Business Economics, Peer Review, Analytics

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Science at Scale

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Statistical Machine Learning, Model Evaluation, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    922 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with R

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Model Evaluation, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Statistical Modeling, Data Cleansing, Data Preprocessing, Feature Engineering, Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    346 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures and Performance

    Skills you'll gain: Unit Testing, Data Structures, Java, JUnit, Performance Tuning, Debugging, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science, Unstructured Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling and Predicting Climate Anomalies

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Supervised Learning, Climate Change Mitigation, Anomaly Detection, Environment, International Relations

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Generative AI, Fraud detection, Intrusion Detection and Prevention, Model Evaluation, Malware Protection, Cyber Threat Hunting, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Applied Machine Learning, Email Security, Network Security, Jupyter

    4.3
    Rating, 4.3 out of 5 stars
    ·
    103 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Databases for Data Scientists

    Skills you'll gain: Database Design, SQL, Database Management Systems, NoSQL, Relational Databases, Data Warehousing, Database Theory, Database Architecture and Administration, Database Administration, Databases, Database Systems, Database Management, Data Modeling, Query Languages, Big Data, Data Architecture, Database Application, Data Integrity, Data Access, Data Science

    Build toward a degree

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Cloud Database Engineer

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, Dataflow, PostgreSQL, Identity and Access Management, Cloud Deployment, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Database Design, Database Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Cleaning with Python for Finance

    Skills you'll gain: Data Cleansing, Pandas (Python Package), Financial Data, Data Wrangling, Data Transformation, Data Preprocessing, Data Quality, Data Manipulation, Data Validation, Jupyter, Data Integrity, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Statistics and Clustering in Python

    Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming, Machine Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Linux Commands, Software Architecture, Application Deployment, Kubernetes, NoSQL, Bash (Scripting Language), MongoDB, Restful API, Shell Script, Django (Web Framework), Object-Relational Mapping, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Fractal Data Science

    Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Model Evaluation, Feature Engineering, Model Deployment, Interactive Data Visualization, Data Wrangling, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Machine Learning, Problem Solving, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    518 reviews

    Beginner · Professional Certificate · 3 - 6 Months

Searches related to statistics for data science

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

  • Managerial Economics and Business Analysis: University of Illinois Urbana-Champaign
  • Data Science at Scale: University of Washington
  • Data Analysis with R: IBM
  • Data Structures and Performance: University of California San Diego
  • Modeling and Predicting Climate Anomalies: University of Colorado Boulder
  • AI for Cybersecurity: Johns Hopkins University
  • Databases for Data Scientists: University of Colorado Boulder
  • Google Cloud Database Engineer: Google Cloud
  • Data Cleaning with Python for Finance: Coursera
  • Statistics and Clustering in Python: University of London

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