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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


  • L

    Logical Operations

    Power BI: Dashboards, Collaboration, and Optimization

    Skills you'll gain: Power BI, Dashboard, Collaborative Software, Collaboration, Data Sharing, Microsoft Power Platform, Microsoft Excel, Business Intelligence, Microsoft 365, Mobile Security, Interactive Data Visualization, Microsoft PowerPoint, Microsoft Office, Data Analysis Software, Performance Tuning, Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Track Status Live

    Skills you'll gain: Project Controls, Project Performance, Issue Tracking, Project Management Software, Real Time Data, Stakeholder Communications, Dashboard, Data Visualization

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Master Excel Automation Using Java, .NET, and Python

    Skills you'll gain: Business Process Automation, Data Presentation, Java, Productivity Software, C# (Programming Language), Data Capture, File I/O, Programming Principles, Scalability, Debugging

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Advanced Data Using Minitab Regression Models

    Skills you'll gain: Classification And Regression Tree (CART), Minitab, Decision Tree Learning, Regression Analysis, Predictive Modeling, Statistical Modeling, Business Analytics, Advanced Analytics, Logistic Regression, Data-Driven Decision-Making, Scatter Plots, Plot (Graphics), Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Case Studies, Responsible AI

    Mixed · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API), Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Track Marketing Goals with Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Google Ads, Marketing Effectiveness, Web Analytics and SEO, Smart Goals, Content Performance Analysis, Digital Marketing, Customer Insights, Analytics, Goal Setting, Trend Analysis, Performance Analysis, Data Analysis, Performance Metric, Data-Driven Decision-Making

    Beginner · Course · 3 - 6 Months

  • E

    EDUCBA

    Analyze & Build Dashboards Using Excel Pivot Tables

    Skills you'll gain: Data Visualization, Business Intelligence, Business Analytics, Business Reporting

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Applied Machine Learning, Performance Tuning, Deep Learning, Digital Signal Processing

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    Nail Regression & Classification

    Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Work Smarter with Microsoft Word

    Skills you'll gain: Microsoft Word, Microsoft 365, Collaborative Software, Microsoft Office, Productivity Software, Document Management, Technical Documentation, Microsoft Windows, Writing, Editing, Computer Literacy, Web Content Accessibility Guidelines, Peer Review

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 3 Months

  • U

    Universidad ORT Uruguay

    ¡A Programar! Una introducción a la programación

    Skills you'll gain: Video Game Development, Software Engineering, Program Development, Programming Principles, Software Testing, Animation and Game Design, Software Development, Event-Driven Programming, Computer Programming, Computational Thinking, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks

    Intermediate · Course · 1 - 4 Weeks

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

  • Power BI: Dashboards, Collaboration, and Optimization: Logical Operations
  • Track Status Live: Coursera
  • Master Excel Automation Using Java, .NET, and Python: EDUCBA
  • Analyze Advanced Data Using Minitab Regression Models: EDUCBA
  • Deploy ML Models to Production: KodeKloud
  • Track Marketing Goals with Google Analytics: Coursera
  • Analyze & Build Dashboards Using Excel Pivot Tables: EDUCBA
  • Vision & Audio AI Systems: Coursera
  • Nail Regression & Classification: Coursera
  • Work Smarter with Microsoft Word: Microsoft

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