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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: Free Trial
    Free Trial
    C

    CertNexus

    CertNexus Certified Data Science Practitioner

    Skills you'll gain: Extract, Transform, Load, Data Analysis, Data Preprocessing, Jupyter, Data Visualization, Unsupervised Learning, Statistical Analysis, Model Evaluation, Exploratory Data Analysis, Data Migration, Machine Learning, Business Analytics, Classification Algorithms, Data Manipulation, Data Cleansing, Data Storytelling, Stakeholder Engagement, Project Scoping, Business Priorities, Business Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    78 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Functional Programming in Scala

    Skills you'll gain: Scala Programming, Apache Spark, User Interface (UI), Distributed Computing, Programming Principles, Big Data, Data Processing, Software Design, Data Structures, Software Design Patterns, Functional Design, Data Manipulation, Object Oriented Programming (OOP), Heat Maps, Interactive Data Visualization, Computer Programming, Real Time Data, Visualization (Computer Graphics), Geospatial Information and Technology, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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
    G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    997 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Engineer

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Services, Load Balancing, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Data Storage Technologies, Cloud Computing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Information Technology (IT) and Cloud Fundamentals

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Generative AI, Cloud Security, Cloud Infrastructure, Cybersecurity, Cloud Platforms, Cloud Computing, Data Storage, Peripheral Devices, Computer Hardware, Cyber Attacks, System Configuration, Artificial Intelligence, Cloud Storage, OSI Models, General Networking, Data Security, Test Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Introduction to Generative AI in Finance

    Skills you'll gain: Generative AI, Fraud detection, AI Personalization, Predictive Analytics, Financial Services, Personalized Service, Financial Trading, Financial Reporting, FinTech, Forecasting, Compliance Management, Artificial Intelligence, Risk Analysis, Emerging Technologies, Automation

    3.6
    Rating, 3.6 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, Predictive Analytics, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    831 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • CertNexus Certified Data Science Practitioner: CertNexus
  • Functional Programming in Scala: École Polytechnique Fédérale de Lausanne
  • CertNexus Certified Artificial Intelligence Practitioner: CertNexus
  • Design Prompts for Everyday Work Tasks: Google
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
  • Information Technology (IT) and Cloud Fundamentals: IBM
  • Introduction to Generative AI in Finance: Coursera
  • Generative AI with Large Language Models: DeepLearning.AI

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