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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
    Free
    A

    Amazon Web Services

    Fundamentals of Analytics on AWS

    Skills you'll gain: Data-Driven Decision-Making, Data Lakes, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Business Analytics, Data Storage, Amazon Web Services, Machine Learning, Data Strategy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    31K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Everyday Excel

    Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Spreadsheet Software, Data Management, Excel Macros, Data Cleansing, Excel Formulas, Financial Analysis, Productivity Software, Predictive Modeling, Data Sharing, Financial Modeling, Analysis, Microsoft Word, Mathematical Modeling, Complex Problem Solving, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, Graphing, Generative AI Agents, Generative AI, Timelines, LLM Application, ChatGPT, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.4K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Data Analytics Course with Generative AI

    Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Data Visualization, Predictive Analytics, Data-Driven Decision-Making, Predictive Modeling, Forecasting, Data Transformation, Descriptive Analytics, Data Modeling, Risk Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Data Engineering on AWS - Foundations

    Skills you'll gain: Infrastructure as Code (IaC), Cloud Engineering, Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Data Architecture, AWS Identity and Access Management (IAM), AWS CloudFormation, Infrastructure Architecture, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform

    4.6
    Rating, 4.6 out of 5 stars
    ·
    221 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    AI in Healthcare

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Health Systems, Healthcare Industry Knowledge, Unstructured Data, Health Care, Health Informatics, Data Mining, Managed Care, Responsible AI, Clinical Data Management, Applied Machine Learning, Medical Billing, Electronic Medical Record, Machine Learning, Artificial Intelligence, Clinical Research Ethics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Prompt Engineering, Artificial Intelligence, Deep Learning, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    358 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Debugging, Data Manipulation, Object Oriented Programming (OOP), Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Microsoft Visual Studio, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    89 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Responsible AI, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Solutions, Cloud Computing, Generative AI, Big Data, Data Analysis, Data Science, Natural Language Processing, Business Intelligence, Content Creation, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    105K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Finance for Non-Financial Professionals

    Skills you'll gain: Financial Statement Analysis, Budget Management, Accounting, Finance, Financial Planning

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Agentic AI and AI Agents: A Primer for Leaders

    Skills you'll gain: Generative AI Agents, Workflow Management, Agentic systems, Artificial Intelligence, Business Process Automation, Generative AI, AI Product Strategy, Automation, Prompt Engineering, Technology Strategies, Decision Support Systems, Emerging Technologies, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Fundamentals of Analytics on AWS: Amazon Web Services
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Everyday Excel: University of Colorado Boulder
  • Google Prompting Essentials: Google
  • Data Analytics Course with Generative AI: Simplilearn
  • Data Engineering on AWS - Foundations: Amazon Web Services
  • AI in Healthcare: Stanford University
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Key Technologies for Business: IBM

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