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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


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    Coursera

    Damping Strategies for NVH

    Skills you'll gain: Vibrations, Value Engineering, Failure Analysis, Engineering Analysis, Mechanical Design, Engineering Design Process, Mechanical Engineering, Engineering Calculations, Industrial Design, Materials science, Material Handling, Industrial Engineering, Design, Analysis, Innovation, Application Development

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Getting Started with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft Office, Data Entry, Microsoft 365

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Microsoft

    Modern Data Warehouse Analytics in Microsoft Azure

    Skills you'll gain: Azure Synapse Analytics, Power BI, Databricks, Microsoft Azure, Cloud Services, Data Warehousing, Data Architecture, Cloud Storage, Databases, Data Lakes, Business Intelligence, Analytics, Big Data, Data Visualization Software, Data Integration, Data Processing, Data Pipelines, Data Visualization

    4.5
    Rating, 4.5 out of 5 stars
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    130 reviews

    Beginner · Course · 1 - 4 Weeks

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    Free Trial
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    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
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    1K reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Apache Kafka for Developers using Spring Boot

    Skills you'll gain: Apache Kafka, JUnit, Spring Boot, Unit Testing, Integration Testing, Data Pipelines, Restful API, Event-Driven Programming, Encryption, Distributed Computing

    Intermediate · Course · 3 - 6 Months

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    University of London

    Data-driven websites: JSON, APIs and Templates

    Skills you'll gain: JSON, Restful API, Ajax, Javascript, Web Development Tools, Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Data Structures

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Scalability

    4.8
    Rating, 4.8 out of 5 stars
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    473 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Applied Financial Analysis

    Skills you'll gain: Financial Modeling, Variance Analysis, Key Performance Indicators (KPIs), Bookkeeping, Financial Forecasting, Revenue Forecasting, Budget Management, Financial Statement Analysis, Business Reporting, Dashboard, Capital Budgeting, Financial Controls, Financial Reporting, Financial Analysis, Process Improvement, Financial Services, Financial Data, Investments, Predictive Analytics, Data-Driven Decision-Making

    Intermediate · Specialization · 3 - 6 Months

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    University of California, Irvine

    Project Management & Other Tools for Career Development

    Skills you'll gain: Business Writing, Negotiation, Work Breakdown Structure, Project Performance, Business Correspondence, Concision, Project Planning, Communication Planning, Editing, Change Control, Grammar, Project Management, Proofreading, Risk Management, Emotional Intelligence, Performance Metric, Open Mindset, Relationship Building, Team Management, Communication

    4.7
    Rating, 4.7 out of 5 stars
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    38K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Preparing for your Professional Data Engineer Journey

    Skills you'll gain: Data Pipelines, Data Storage, Data Processing, Google Cloud Platform, Cloud Storage, Data Analysis, Cloud Engineering, Data Infrastructure, Data Architecture, Data Management, Data Preprocessing, Automation

    4.6
    Rating, 4.6 out of 5 stars
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    1K reviews

    Advanced · Course · 1 - 3 Months

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    American Museum of Natural History

    The Dynamic Earth: A Course for Educators

    Skills you'll gain: Physical Science, Environment, Hazard Analysis, Spatial Data Analysis, Geographic Information Systems, General Science and Research, Environmental Science, Scientific Methods

    4.7
    Rating, 4.7 out of 5 stars
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    229 reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Analyze Web Metrics for Marketing Mastery

    Skills you'll gain: Google Analytics, Web Analytics, Web Analytics and SEO, Marketing Analytics, Content Performance Analysis, Data-Driven Decision-Making, Analytics, Performance Reporting, Driving engagement, Key Performance Indicators (KPIs), Performance Metric, Customer Insights, AI Personalization, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

Searches related to statistics for data science

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

  • Damping Strategies for NVH: Coursera
  • Getting Started with Microsoft Excel: Coursera
  • Modern Data Warehouse Analytics in Microsoft Azure: Microsoft
  • Design Prompts for Everyday Work Tasks: Google
  • Apache Kafka for Developers using Spring Boot: Packt
  • Data-driven websites: JSON, APIs and Templates: University of London
  • Introduction to Data Engineering: DeepLearning.AI
  • Applied Financial Analysis: Coursera
  • Project Management & Other Tools for Career Development: University of California, Irvine
  • Preparing for your Professional Data Engineer Journey: Google Cloud

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