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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Data Quality, Data Transformation, Data Cleansing, Model Deployment, Applied Machine Learning, Failure Analysis, Data Pipelines, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Analyze and Optimize Pricing with Tableau and R

    Skills you'll gain: Tableau Software, Dashboard, Case Studies, Business Intelligence, Business Analytics, Analytics, Data Analysis, Market Dynamics, Data-Driven Decision-Making, Advanced Analytics, Descriptive Analytics, Predictive Analytics, Interactive Data Visualization, Regression Analysis, Customer Analysis, Revenue Management, Business Requirements, Key Performance Indicators (KPIs)

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Clean & Maintain Lists

    Skills you'll gain: Email Marketing, Data Cleansing, Performance Analysis, Performance Measurement, Key Performance Indicators (KPIs), Marketing Effectiveness, Data Quality, Data Maintenance, Data Validation, Process Improvement and Optimization

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Analyze Financial Fraud Using Machine Learning Analytics

    Skills you'll gain: Financial Data, Data-Driven Decision-Making, Profit and Loss (P&L) Management, Risk Modeling, Lending and Underwriting, Applied Machine Learning, Financial Systems, Operational Analysis, Risk Analysis, Anomaly Detection, Statistical Machine Learning, Financial Regulation, Financial Industry Regulatory Authorities

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C++ For C Programmers, Part A

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Algorithms, C (Programming Language), Programming Principles, Computer Programming, Graph Theory, Data Structures

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    N

    Northeastern University

    Economic Decision Making Part 2

    Skills you'll gain: Depreciation, Risk Analysis, Actuarial Science, Portfolio Risk, Value Engineering, Cost Benefit Analysis, Strategic Decision-Making, Decision Tree Learning, Operational Analysis, Financial Analysis, Capital Budgeting, Tax Management, Decision Making, Analysis, Data-Driven Decision-Making, Capital Expenditure, Feasibility Studies, Estimation, Income Tax, Economics

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Graph Theory, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
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    P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
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    U

    Universitat Politècnica de València

    Técnicas Cuantitativas y Cualitativas para la Investigación

    Skills you'll gain: Econometrics, Research Design, Qualitative Research, Scientific Methods, Quantitative Research, Research, Stata, Research Methodologies, Data Analysis, Statistical Analysis, Statistical Software, Surveys, Data Collection, Regression Analysis, Data Ethics

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Chroma, Weaviate & Production RAG Deployment

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Generative AI, Performance Tuning, Data Migration, LangChain, LLM Application, Metadata Management, Document Management, Data Infrastructure, Large Language Modeling, Prompt Patterns, Embeddings, Data Modeling, Agentic systems, Data Integrity, Scalability, Docker (Software), Query Languages, AI Workflows

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Process Images & Extract Motion Features

    Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy

    Intermediate · Course · 1 - 4 Weeks

1…909192…834

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

  • Applied Object Detection & Segmentation: Coursera
  • Analyze and Optimize Pricing with Tableau and R: EDUCBA
  • An Intuitive Introduction to Probability: University of Zurich
  • Clean & Maintain Lists: Coursera
  • Analyze Financial Fraud Using Machine Learning Analytics: EDUCBA
  • C++ For C Programmers, Part A: University of California, Santa Cruz
  • Economic Decision Making Part 2: Northeastern University
  • Self-Driving Cars: University of Toronto
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Técnicas Cuantitativas y Cualitativas para la Investigación: Universitat Politècnica de València

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