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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


  • I

    IBM

    IBM & Darden Digital Strategy

    Skills you'll gain: Data Storytelling, Digital Transformation, Business Strategy, Cloud Computing Architecture, Data Wrangling, Competitive Analysis, Cloud Services, Data Presentation, Cloud Deployment, Business Transformation, Cloud Security, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Cloud Computing, Product Lifecycle Management, Strategic Decision-Making, Business Technologies, Data Science

    ★ 4.7 (51K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, AI Enablement, Generative AI, Artificial Intelligence, Large Language Modeling, Creativity, Problem Solving, Context Management, Verification And Validation

    ★ 4.8 (7.8K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft Power BI Data Analyst

    Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Microsoft Power Platform, Data Integrity, Data Visualization, Data Storage, Data Collection, Data Quality, Data Manipulation, Business Analytics, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Report Writing, Data Processing, Data Warehousing, Business Intelligence, SQL

    ★ 4.6 (9.2K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: AI skills
    AI skills
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    IBM Generative AI for Cybersecurity Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Anomaly Detection, Deep Learning, Augmented and Virtual Reality (AR/VR), Vulnerability Management, Artificial Intelligence, Incident Management

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • T

    Tableau Learning Partner

    Introduction to Tableau

    Skills you'll gain: Tableau Software, Interactive Data Visualization, Data Visualization Software, Dashboard, Business Analytics, Business Intelligence, Data Preprocessing, Data Integration, Data Cleansing, Data Manipulation, Performance Tuning

    ★ 4.8 (318) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Software Design, Software Architecture, Continuous Integration, Software Design Patterns, Software Development, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Application Security, Software Engineering, Deep Learning, Debugging, Augmented and Virtual Reality (AR/VR), DevSecOps, Machine Learning

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Modern Regression Analysis in R

    Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Model Evaluation, Feature Engineering

    ★ 4.3 (37) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)

    ★ 4.5 (3.7K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Model Evaluation, Data Analysis, Flask (Web Framework), Data Import/Export

    ★ 4.7 (99K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    ★ 3.8 (12) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Colorado Boulder

    Python Packages for Data Science

    Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming

    ★ 4.6 (78) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, ChatGPT, AI Product Strategy, AI Security, Artificial Intelligence, Automation, Cloud Applications, Social Impact

    ★ 4.8 (5K) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…141516…834

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

  • IBM & Darden Digital Strategy: IBM
  • Prompt Engineering for ChatGPT: Vanderbilt University
  • Microsoft Power BI Data Analyst: Microsoft
  • IBM Generative AI for Cybersecurity Professionals: IBM
  • Introduction to Tableau: Tableau Learning Partner
  • Generative AI for Software Developers: IBM
  • Modern Regression Analysis in R: University of Colorado Boulder
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • IBM Generative AI Engineering: IBM
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh

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