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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


  • C

    Coursera

    Overview of Data Visualization

    Skills you'll gain: Data Visualization, Data Literacy, Data Presentation, Google Sheets, Data Compilation, Data Visualization Software, Graphing, Spreadsheet Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    442 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Materials Science for Technological Application

    Skills you'll gain: Materials science, Failure Analysis, Semiconductors, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Chemical Engineering, Chemistry, Thermal Management, Engineering, Laboratory Testing, Physical Science, Physics, Engineering Analysis, Reliability, Engineering Calculations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    264 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Virginia Darden School Foundation

    IBM & Darden Digital Strategy

    Skills you'll gain: Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Business Transformation, Responsible AI, Cloud Security, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Cloud Hosting, Statistical Analysis, Cloud Engineering, Cloud Solutions, Cloud Computing, Cloud Development, Generative AI, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Material Processing

    Skills you'll gain: Materials science, Chemistry, Chemical Engineering, Manufacturing Processes, Mechanical Engineering, Engineering, Structural Analysis, Physical Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Educators

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Responsible AI, Data Ethics, Education Software and Technology, LLM Application, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Deep Learning, Ethical Standards And Conduct, Information Privacy, Machine Learning, Emerging Technologies, Data Security

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

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Supervised Learning, Keras (Neural Network Library), Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Responsible AI, LLM Application, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Harnessing the Power of Data with Power BI

    Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Data Literacy, Data Collection, Business Analytics, Data Cleansing, Data Transformation, Data Visualization Software, Microsoft 365

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    713 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI Python for Beginners

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, ChatGPT, Application Development, Scripting, Programming Principles, Automation, Application Programming Interface (API), Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    210 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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 Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Data Integration, AWS Kinesis, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    554 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

    Skills you'll gain: Artificial Intelligence, Psychology, Human Learning, Anthropology, Human Development, Human Factors, Science and Research, Research

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    457 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to statistics for data science

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1…181920…834

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

  • Overview of Data Visualization: Coursera
  • Materials Science for Technological Application: Arizona State University
  • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
  • Material Processing: Georgia Institute of Technology
  • Generative AI for Educators: IBM
  • IBM Generative AI Engineering: IBM
  • Harnessing the Power of Data with Power BI: Microsoft
  • Fitting Statistical Models to Data with Python: University of Michigan
  • AI Python for Beginners: DeepLearning.AI
  • DeepLearning.AI Data Engineering: DeepLearning.AI

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