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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


  • U

    University of Michigan

    Django for Everybody

    Skills you'll gain: Django (Web Framework), Ajax, jQuery, Model View Controller, Cascading Style Sheets (CSS), Javascript and jQuery, Hypertext Markup Language (HTML), JSON, HTML and CSS, Linux, Linux Commands, Application Development, Back-End Web Development, Database Application, Web Development, Cloud Deployment, Application Deployment, Javascript, SQL, Code Reusability

    ★ 4.7 (2.5K) · Intermediate · Specialization · 3 - 6 Months

  • S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining

    ★ 4.6 (16K) · Intermediate · Specialization · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • M

    Meta

    Meta Back-End Developer

    Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), Back-End Web Development, API Testing, GitHub, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, Database Management, Code Reusability, Python Programming, Computer Programming, Cloud Hosting

    ★ 4.6 (9.9K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Job Ready
    Job Ready
  • Y

    Yale University

    Moral Foundations of Politics

    Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Studies, Public Policies, Economics, Policy, and Social Studies, Social Sciences, Law, Regulation, and Compliance, Governance, Sociology, Ethical Standards And Conduct, Liberal Arts, Socioeconomics, Economics

    ★ 4.9 (6.1K) · Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud DevOps Engr

    Skills you'll gain: Site Reliability Engineering, Kubernetes, Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Application Deployment, Identity and Access Management, Prompt Engineering Tools, Cloud Deployment, Infrastructure As A Service (IaaS), Prompt Patterns, CI/CD, Containerization, Continuous Delivery, Dashboard Creation, Safety Culture, Culture Transformation, Problem Management, Data Import/Export, Data Access

    ★ 4.7 (55K) · Beginner · Professional Certificate · 3 - 6 Months

  • V

    Vanderbilt University

    ChatGPT: Master Free AI Tools to Supercharge Productivity

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, ChatGPT, Generative AI Agents, Generative AI, LLM Application, AI literacy, OpenAI, OpenAI API, Expense Management, AI Personalization, AI Enablement, Context Engineering, AI powered creativity, Artificial Intelligence, Expense Reports, Communication, Planning, Marketing

    ★ 4.8 (9.1K) · Beginner · Specialization · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    ★ 4 (6) · Beginner · Specialization · 1 - 4 Weeks

  • A

    Arizona State University

    Introduction to Materials Science

    Skills you'll gain: Materials science, Chemical Engineering, Chemistry, Engineering, Physical Science

    ★ 4.7 (219) · Beginner · Course · 1 - 3 Months

  • U

    University of Toronto

    The Arts and Science of Relationships: Understanding Human Needs

    Skills you'll gain: Relationship Building, Social Skills, Personal Development, Active Listening, Rapport Building, Interpersonal Communications, Communication, Empathy, Communication Strategies, Self-Awareness, Emotional Intelligence, Overcoming Obstacles, Needs Assessment, Assertiveness, Psychology

    ★ 4.5 (1.8K) · Beginner · Course · 1 - 3 Months

  • E

    Eindhoven University of Technology

    Improving your statistical inferences

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Literacy, General Science and Research, Data Sharing, Probability Distribution

    ★ 4.9 (802) · Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation

    ★ 4.6 (2.6K) · Intermediate · Course · 1 - 3 Months

1…282930…834

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

  • Django for Everybody: University of Michigan
  • Statistics You Need to Know for Machine Learning: SAS
  • Machine Learning: University of Washington
  • Meta Back-End Developer: Meta
  • Moral Foundations of Politics : Yale University
  • Preparing for Google Cloud Certification: Cloud DevOps Engr: Google Cloud
  • ChatGPT: Master Free AI Tools to Supercharge Productivity: Vanderbilt University
  • Data Science Fundamentals, Part 1: Pearson
  • Introduction to Materials Science : Arizona State University
  • The Arts and Science of Relationships: Understanding Human Needs: University of Toronto

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