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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
    I

    IBM

    Data Science with R - Capstone Project

    Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, R Programming, Statistical Modeling, Regression Analysis, Ggplot2, Data Visualization, Data Transformation, Predictive Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    107 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Introduction to Clinical Data

    Skills you'll gain: Feature Engineering, Data Ethics, Clinical Research, Clinical Data Management, Health Informatics, Clinical Research Ethics, Unstructured Data, Health Care, Data Mining, Electronic Medical Record, Data Transformation, Data Collection, Data Preprocessing, Text Mining, Medical Imaging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    490 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    Building Data Lakes on AWS

    Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Engineering, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    304 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    Understanding China, 1700-2000: A Data Analytic Approach, Part 1

    Skills you'll gain: Social Sciences, Economics, Policy, and Social Studies, Socioeconomics, World History, Sociology, Trend Analysis, Data Analysis, Big Data, Research, Higher Education, Political Sciences, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    127 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

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

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
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    747 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Data Visualization, Text Mining, Social Network Analysis, Statistical Analysis, Data Visualization Software, Case Studies, Application Programming Interface (API), Unstructured Data, Data Analysis, R Programming, Statistical Methods, Correlation Analysis, Regression Analysis, Data Collection, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    928 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Start the UX Design Process: Empathize, Define, and Ideate

    Skills you'll gain: User Experience Design, Persona (User Experience), Web Content Accessibility Guidelines, User Story, Usability, User Research, Human Factors, Human Centered Design, Ideation, User Flows, Competitive Analysis, Mockups

    4.8
    Rating, 4.8 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    KodeKloud

    Kubernetes for the Absolute Beginners with Hands-on Labs

    Skills you'll gain: Kubernetes, YAML, Microservices, Containerization, Cloud Platforms, DevOps, Application Deployment, Cloud Computing Architecture, Virtual Networking, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Pattern Discovery in Data Mining

    Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · Course · 1 - 3 Months

Searches related to statistics for data science

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1…818283…834

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

  • Data Science with R - Capstone Project: IBM
  • Introduction to Clinical Data: Stanford University
  • Building Data Lakes on AWS: Amazon Web Services
  • Fundamentals of Machine Learning in Finance: New York University
  • Understanding China, 1700-2000: A Data Analytic Approach, Part 1: The Hong Kong University of Science and Technology
  • Sample-based Learning Methods: University of Alberta
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Social Media Data Analytics: University of Washington
  • Experimentation for Improvement: McMaster University
  • Start the UX Design Process: Empathize, Define, and Ideate: Google

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