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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


  • G

    Georgia Institute of Technology

    Improve Your English Communication Skills

    Skills you'll gain: Sales Presentation, Presentations, Oral Expression, Business Writing, Business Correspondence, Sales Presentations, Telephone Skills, Verbal Communication Skills, Interviewing Skills, Public Speaking, Professional Development, English Language, Cultural Diversity, Business Communication, Professional Networking, Cultural Sensitivity, Writing, LinkedIn, Web Content, Social Media Content

    4.7 stars, 27K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (27K) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • U

    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics), Probability Distribution

    4.6 stars, 55 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.6 (55) · Intermediate · Course · 1 - 3 Months

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

    University of London

    The Data Science Profession – Student View

    Skills you'll gain: Machine Learning Algorithms, Data Literacy, Unsupervised Learning, Data Science, Applied Machine Learning, Machine Learning

    4.7 stars, 89 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (89) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, LLM Application, AI literacy, Model Evaluation, Image Quality

    4.7 stars, 8.1K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (8.1K) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Google Cloud Database Engineer

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Prompt Engineering Tools, Containerization, Database Architecture and Administration, MySQL, Dataflow, PostgreSQL, Identity and Access Management, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Data Maintenance, Database Design, Database Management

    4.7 stars, 49K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.7 (49K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • M

    Meta

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Performance Metric, Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Business Analytics, Analytical Skills, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing

    4.8 stars, 1.1K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.8 (1.1K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9 stars, 64K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.9 (64K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Michigan

    Using Python to Access Web Data

    Skills you'll gain: Web Scraping, Restful API, Web Services, JSON, Extensible Markup Language (XML), Network Protocols, Extensible Languages and XML, Application Programming Interface (API), Data Access, Hypertext Markup Language (HTML), Python Programming, Software Installation, Development Environment

    4.8 stars, 45K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.8 (45K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Security in Google Cloud

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Distributed Denial-Of-Service (DDoS) Attacks, Prompt Engineering, Kubernetes, Prompt Engineering Tools, Cloud Security, Containerization, Infrastructure As A Service (IaaS), Prompt Patterns, OAuth, Cloud Platforms, Cloud Storage, Cloud Services, Security Controls, Threat Management, Application Security, Data Security

    4.7 stars, 50K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.7 (50K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Security Engineer

    Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Kubernetes, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Load Balancing, Prompt Engineering, Network Monitoring, Prompt Engineering Tools, Cloud Security, Containerization, Virtual Networking, Network Architecture, Infrastructure As A Service (IaaS), Network Routing, DevSecOps, Virtual Private Networks (VPN), Dashboard Creation

    4.7 stars, 51K reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.7 (51K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • V

    Vanderbilt University

    ChatGPT Advanced Data Analysis

    Skills you'll gain: Prompt Engineering, AI Workflows, ChatGPT, Responsible AI, Prompt Patterns, Data Visualization, Document Management, Data Presentation, AI powered creativity, Multimodal Prompts, Data Compilation, Data Processing, AI literacy, Text Mining, Debugging, Data Transformation, Generative AI, File I/O, Data Analysis

    4.8 stars, 997 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.8 (997) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Prompt Engineering Tools, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, ChatGPT, AI literacy, Multimodal Prompts, Feature Engineering, AI powered creativity, LLM Application, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Responsible AI, Data Science, Machine Learning

    4.7 stars, 12K reviews, Intermediate, Specialization, 1 - 3 Months

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

    Status: Free trial
    Free trial
1…192021…834

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

  • Improve Your English Communication Skills: Georgia Institute of Technology
  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
  • The Data Science Profession – Student View: University of London
  • Generative AI: Prompt Engineering Basics: IBM
  • Google Cloud Database Engineer: Google Cloud
  • Introduction to Data Analytics: Meta
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Using Python to Access Web Data: University of Michigan
  • Security in Google Cloud: Google Cloud
  • Preparing for Google Cloud Certification: Cloud Security Engineer: Google Cloud

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