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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: Preview
    Preview
    S

    Shanghai Jiao Tong University

    Fundamentals of Materials Science

    Skills you'll gain: Materials science, Mechanical Engineering, Chemistry, Physics, Manufacturing Processes, Physical Science, Semiconductors, Thermal Management, Chemical Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    199 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    The Science of Gastronomy

    Skills you'll gain: Cooking, Food and Beverage, Nutrition and Diet, Meal Planning And Preparation, Biochemistry, Aesthetics, Color Theory, Chemistry, Physiology, Physics, Psychology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    788 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Intermediate I

    Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Data Analysis Expressions (DAX), Consolidation, Business Reporting, Data Management, Data Integration, Data Cleansing, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Digital Marketing

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Patterns, ChatGPT, Generative AI, Digital Advertising, Email Marketing, Data Ethics, Digital Marketing, Search Engine Optimization, Marketing Automation, AI Personalization, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Web Analytics and SEO, Search Engine Marketing, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    828 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Ajax, Javascript, Responsive Web Design, Front-End Web Development, Web Design, Bootstrap (Front-End Framework), Development Environment, Web Development, Web Development Tools, Web Design and Development, JSON, Web Applications, Web Content Accessibility Guidelines, Scripting, Browser Compatibility, Hypertext Markup Language (HTML), Object Oriented Programming (OOP), Event-Driven Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    SQL Fundamentals for Data Analysts

    Skills you'll gain: SQL, Databases, Data Manipulation, Data Analysis, Data Cleansing, Relational Databases, Data Access, Data Synthesis, Query Languages, Data Warehousing, Data Transformation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Modeling

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D
    A

    Multiple educators

    DeepLearning.AI Data Engineering

    Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Vector Databases, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Dataflow, Data Integration, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    580 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Science & Machine Learning Fundamentals

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Human Resources (HR) Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, AI Personalization, Employee Engagement, Recruitment, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Fundamentals of Materials Science: Shanghai Jiao Tong University
  • The Science of Gastronomy: The Hong Kong University of Science and Technology
  • Excel Skills for Business: Intermediate I: Macquarie University
  • Generative AI for Digital Marketing: IBM
  • NoSQL, Big Data, and Spark Foundations: IBM
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • SQL Fundamentals for Data Analysts: Corporate Finance Institute
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • DeepLearning.AI Data Engineering: DeepLearning.AI

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