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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

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exploratory Data Analysis in AWS

    Skills you'll gain: AWS Kinesis, Amazon Redshift, Data Preprocessing, Data Analysis, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation, Machine Learning, Data Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Writing and Editing: Revising

    Skills you'll gain: Editing, Constructive Feedback, Concision, Writing, Proofreading, Critical Thinking, Detail Oriented, Collaboration, Time Management, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    399 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Michigan State University

    Cameras, Exposure, and Photography

    Skills you'll gain: Photography, Peer Review, Photo/Video Production and Technology, Image Quality, Creativity, Design Elements And Principles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    DataOps Methodology

    Skills you'll gain: Data Governance, Data Strategy, Data Management, Data Modeling, Data Quality, Data Literacy, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Taxonomy, Business Priorities, Data Pipelines, Sprint Retrospectives, Process Improvement, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Introduction to Software Product Management

    Skills you'll gain: Agile Software Development, Agile Methodology, Requirements Analysis, Software Development, Requirements Management, Product Management, Software Engineering, Project Planning, Process Development, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Test & Debug Java ML Pipelines

    Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidade de São Paulo

    Introdução à Ciência da Computação com Python Parte 2

    Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Theoretical Computer Science, Python Programming, Algorithms, Data Structures, Computer Science, Computational Thinking, Software Testing, Performance Testing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    NoSQL systems

    Skills you'll gain: NoSQL, Database Systems, MongoDB, Database Management Systems, Databases, Database Design, Relational Databases, Query Languages, Apache Cassandra, Data Storage Technologies, Scalability, Graph Theory, Unstructured Data, Maintainability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    170 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Battery Pack Balancing and Power Estimation

    Skills you'll gain: Power Electronics, Electrical Power, Electrical Engineering, Estimation, Simulations, Electronic Systems, Matlab, Engineering Calculations, Model Evaluation, Mathematical Modeling, Control Systems, Electronic Components, Applied Mathematics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    105 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    GIS, Mapping, and Spatial Analysis Capstone

    Skills you'll gain: Spatial Analysis, Geographic Information Systems, Geospatial Mapping, ArcGIS, Data Visualization, Data Compilation, Data Mapping, Data Storytelling, Metadata Management, Data Integration, Data Management

    4.9
    Rating, 4.9 out of 5 stars
    ·
    322 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence, Image Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

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1…255256257…834

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

  • Building Statistical Models in R: Linear Regression: Coursera
  • Exploratory Data Analysis in AWS: Whizlabs
  • Writing and Editing: Revising: University of Michigan
  • Cameras, Exposure, and Photography: Michigan State University
  • DataOps Methodology : IBM
  • Introduction to Software Product Management: University of Alberta
  • Test & Debug Java ML Pipelines: Coursera
  • Introdução à Ciência da Computação com Python Parte 2: Universidade de São Paulo
  • NoSQL systems: Universidad Nacional Autónoma de México
  • Battery Pack Balancing and Power Estimation: University of Colorado Boulder

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