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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
    J

    Johns Hopkins University

    Cancer Biology

    Skills you'll gain: Oncology, Medical Imaging, Patient Education And Counseling, Diagnostic Radiology, Radiation Therapy, Molecular Biology, Diagnostic Tests, Clinical Trials, Pain Management, Preventative Care, Treatment Planning, Urology, Patient Treatment, Immunology, Epidemiology, Surgery, Cell Biology, Care Management, Biology, Pathology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Essentials of Sensory Science

    Skills you'll gain: Experimentation, Product Testing, Laboratory Testing, Laboratory Experience, Food and Beverage, Consumer Behaviour, Scientific Methods, Systems Of Measurement, Case Studies, Quality Assurance, Physiology, Research Design, Usability Testing, Science and Research, Data Collection, Statistical Analysis, Nutrition and Diet, Human Factors, Anatomy, Product Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Q

    Queen Mary University of London

    Market Research

    Skills you'll gain: Qualitative Research, Proposal Development, Market Research, Research Reports, Data Collection, Research Design, Research Methodologies, Analytics, Data Analysis, Statistical Hypothesis Testing, Survey Creation, Statistical Analysis, Surveys, Correlation Analysis, Quantitative Research, Research, Science and Research, Market Analysis, Focus Group, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    797 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Deep Learning, Transfer Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Kubernetes, Infrastructure As A Service (IaaS), Containerization, Cloud Deployment, Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Building R Packages

    Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, R Programming, Knitr, Continuous Integration, Development Testing, Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Network Routing, Estimation, Machine Learning Methods

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

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    AI CERTs

    AI Foundations & Industry Overview for Telecommunication

    Skills you'll gain: Internet Of Things, Natural Language Processing, Telecommunications, Artificial Intelligence and Machine Learning (AI/ML), Automation, Network Performance Management, Network Monitoring, Data Pipelines, Generative AI Agents, Generative AI, Wireless Networks, Artificial Intelligence, Emerging Technologies, Network Architecture, Digital Communications, Computer Networking, Network Protocols, Responsible AI, Communication, System Design and Implementation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    869 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    OpenTelemetry for Unified Observability

    Skills you'll gain: .NET Framework, Prometheus (Software), Cloud-Native Computing, Site Reliability Engineering, Kubernetes, Data Import/Export, Application Programming Interface (API), Data Analysis Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Python Development

    Skills you'll gain: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Version Control, Matplotlib, Devops Tools, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Data Visualization, Scripting, GitHub, Debugging, Data Analysis, Automation, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    594 reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Cancer Biology: Johns Hopkins University
  • Essentials of Sensory Science: University of California, Davis
  • Market Research: Queen Mary University of London
  • Sequence Models: DeepLearning.AI
  • Architecting with Google Compute Engine: Google Cloud
  • Building R Packages: Johns Hopkins University
  • Self-Driving Cars: University of Toronto
  • AI Foundations & Industry Overview for Telecommunication: AI CERTs
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Combinatorics and Probability: University of California San Diego

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