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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: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamentals of Software Architecture for Big Data

    Skills you'll gain: Service Level, Software Engineering, Software Architecture, Distributed Computing, Data Architecture, Microservices, Transaction Processing, Test Driven Development (TDD), Blockchain, Big Data, Maintainability, Data Structures, System Monitoring, Databases

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    88 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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), API Testing, Back-End Web Development, GitHub, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Database Design, Python Programming, Computer Programming, Cloud Hosting

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.8K reviews

    Beginner · Professional Certificate · 3 - 6 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
    ·
    576 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Python Geospatial Development Essentials

    Skills you'll gain: Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, User Interface (UI), Application Development, Python Programming, Application Design, Data Science, Application Deployment, User Interface (UI) Design

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Generative AI for Data Visualization and Data Storytelling

    Skills you'll gain: Generative AI, Data Storytelling, Data Visualization Software, Interactive Data Visualization, Data Presentation, LLM Application, Data Wrangling, Data-Driven Decision-Making, Real Time Data, Prompt Engineering

    4
    Rating, 4 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Web of Data

    Skills you'll gain: Semantic Web, Query Languages, Data Management, Data Integration, Data Sharing, Data Mining, Interoperability, Software Architecture, Web Services, Data Modeling

    4.1
    Rating, 4.1 out of 5 stars
    ·
    94 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Identifying the Right Role for Yourself

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Big Data, Analytical Skills, Business Analysis, Business Analytics, Cloud Computing Architecture, Cloud Engineering

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Business Intelligence Concepts, Tools, and Applications

    Skills you'll gain: Business Intelligence, Decision Support Systems, Data Visualization, Business Process Management, Data Warehousing, Performance Measurement, MicroStrategy, Business Analytics, Dashboard, Data Visualization Software, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Business Reporting, Data Analysis, Six Sigma Methodology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    650 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Excel: Statistical Analysis and Data Transformation

    Skills you'll gain: Data Transformation, Microsoft Excel, Sampling (Statistics), Data Cleansing, Statistical Visualization, Data Analysis, Statistical Analysis, Data Integration, Data Import/Export, Microsoft Office, Microsoft 365, Productivity Software

    Mixed · Course · 1 - 4 Weeks

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

    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Prepare for DP-100: Data Science on Microsoft Azure Exam

    Skills you'll gain: Databricks, Model Deployment, Responsible AI, Microsoft Azure, Data Science, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Programmer

    Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Requirements Analysis, Statistical Programming, Exploratory Data Analysis, Data Validation, Data Cleansing, Statistical Analysis, Data Processing, Data Preprocessing, Data Integration, SQL, Computer Programming, Data Presentation, Debugging

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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1…545556…834

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

  • Fundamentals of Software Architecture for Big Data: University of Colorado Boulder
  • Meta Back-End Developer: Meta
  • DeepLearning.AI Data Engineering: DeepLearning.AI
  • Python Geospatial Development Essentials: Packt
  • Generative AI for Data Visualization and Data Storytelling: Coursera
  • Web of Data: 28DIGITAL
  • Identifying the Right Role for Yourself: University of California, Irvine
  • Business Intelligence Concepts, Tools, and Applications: University of Colorado System
  • Excel: Statistical Analysis and Data Transformation: Logical Operations
  • Engineer Features and Evaluate Models for Production: Coursera

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