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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

    Accelerated Computer Science Fundamentals

    Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Engineering Software, Unstructured Data, Computer Programming, Algorithms, Data Storage Technologies, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science

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

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Python for Finance: Investment Fundamentals & Data Analytics

    Skills you'll gain: Portfolio Management, Risk Analysis, Investment Management, Time Series Analysis and Forecasting, Financial Modeling, Object Oriented Programming (OOP), Statistical Analysis, Simulations, Regression Analysis, Jupyter, Python Programming, Programming Principles, Pandas (Python Package), NumPy, Matplotlib, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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
    I

    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: Agile Software Development, Cloud Computing Architecture, Cloud Services, Cloud Deployment, Agile Methodology, DevOps, Kanban Principles, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Agile Project Management, Cloud-Native Computing, User Story, Cloud Storage, Sprint Retrospectives, Sprint Planning, CI/CD, Test Driven Development (TDD), Scrum (Software Development)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Tidyverse Skills for Data Science in R

    Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Regression Analysis, Web Scraping, Data Science, R (Software), Data Analysis Software

    4.5
    Rating, 4.5 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Architect

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    62K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Intro to Analytic Thinking, Data Science, and Data Mining

    Skills you'll gain: Analytical Skills, Data Ethics, Data Mining, Data Strategy, Data Science, Business Analytics, Data Analysis, Big Data, Analytics, Business Intelligence, Descriptive Analytics, Data Literacy, Predictive Analytics, Data Processing, Small Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    156 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Simplilearn

    Python Programming Essentials Training

    Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computational Thinking, Application Development, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Software Design, Software Installation

    3.4
    Rating, 3.4 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    CertNexus Certified Artificial Intelligence Practitioner

    Skills you'll gain: Model Evaluation, Data Ethics, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Classification Algorithms, Decision Tree Learning, Data Collection, AI Workflows, Regulatory Compliance, Business Ethics, Learning Strategies, Test Planning, Goal Setting, Productivity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    306 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Getting Started with Data Visualization in R

    Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Scatter Plots, Data Wrangling, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    300 reviews

    Beginner · Course · 1 - 4 Weeks

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1…858687…834

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

  • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign
  • Python for Finance: Investment Fundamentals & Data Analytics: Packt
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • AI for Cybersecurity: Johns Hopkins University
  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Tidyverse Skills for Data Science in R: Johns Hopkins University
  • Preparing for Google Cloud Certification: Cloud Architect: Google Cloud
  • Intro to Analytic Thinking, Data Science, and Data Mining: University of California, Irvine
  • Production Machine Learning Systems: Google Cloud
  • Python Programming Essentials Training: Simplilearn

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