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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: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate Financial Analysis with AI Pipelines

    Skills you'll gain: Model Evaluation, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, Predictive Modeling, Real Time Data, Financial Statement Analysis, Continuous Monitoring, Applied Machine Learning, MLOps (Machine Learning Operations), Data Pipelines, Artificial Neural Networks, Automation

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Analyze and Apply Generative AI in Research & Development

    Skills you'll gain: Analytics, Big Data, Scalability, Responsible AI, Complex Problem Solving

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Mining and Analytics

    Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Unsupervised Learning, Probability & Statistics, Logistic Regression, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    738 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Apply AI Foundations with Python and AWS

    Skills you'll gain: Matplotlib, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), NumPy, Pandas (Python Package), Model Evaluation, AI Workflows, Data Preprocessing, Deep Learning, Responsible AI, AWS SageMaker, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Manipulation, Data Ethics, Applied Machine Learning, Data-Driven Decision-Making, Python Programming, AWS CloudFormation

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    LLM Engineering That Works: Prompting, Tuning, and Retrieval

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Master Redis Fundamentals for High-Performance Data Storage

    Skills you'll gain: Redis, NoSQL, Operational Databases, Key Management, Data Persistence, Data Structures, Data Storage, Performance Tuning, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Value Chain Management

    Skills you'll gain: Management Accounting, Operations Management, Marketing Planning, Organizational Strategy, Marketing, Performance Measurement, Product Strategy, Supply Chain, Continuous Improvement Process, Manufacturing Operations, Operational Analysis, Integrated Marketing Communications, Business Operations, Operations, Marketing Management, Process Improvement, Cost Accounting, Performance Analysis, Supply Chain Management, Quality Control

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Master of Science in Electrical and Computer Engineering

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Supervised Learning

    Earn a degree

    Degree · 1 - 4 Years

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

    Coursera

    Evaluate and Explain Retention Curves

    Skills you'll gain: Customer Retention, Customer Insights, Statistical Methods, Statistical Analysis, R Programming, Trend Analysis, Data Analysis, Statistics, Product Improvement, Performance Metric, Business Metrics, Analytics, Statistical Hypothesis Testing, Customer Engagement

    Intermediate · Course · 1 - 4 Weeks

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1…108109110…834

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

  • Automate Financial Analysis with AI Pipelines: Coursera
  • Build Predictive & Supervised Models: Coursera
  • Analyze and Apply Generative AI in Research & Development: EDUCBA
  • Text Mining and Analytics: University of Illinois Urbana-Champaign
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Apply AI Foundations with Python and AWS: EDUCBA
  • LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Master Redis Fundamentals for High-Performance Data Storage: EDUCBA
  • Value Chain Management: University of Illinois Urbana-Champaign

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