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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

    Hands-on DeepSeek

    Skills you'll gain: Deepseek, LangChain, Generative AI, LLM Application, Tool Calling, AI Workflows, AI Orchestration, Prompt Engineering, Automation, Data Integration, Cross Platform Development, Systems Integration

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    AI-Enhanced Prospecting and Sales Techniques

    Skills you'll gain: Selling Techniques, Sales Presentation, Sales Prospecting, Microsoft Copilot, Sales Strategy, Sales, AI Personalization, Prospecting and Qualification, Lead Generation, Customer Insights, AI Enablement, Presentations, Microsoft PowerPoint, Customer Relationship Management (CRM) Software, Prompt Engineering, Data Validation, Quality Control

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    Attract and Engage Customers with Digital Marketing

    Skills you'll gain: Google Ads, Search Engine Optimization, Digital Marketing, Keyword Research, Target Audience, Search Engine Marketing, Pay Per Click Advertising, Marketing, Web Analytics and SEO, Marketing Strategies, Advertising, Customer Engagement

    4.8
    Rating, 4.8 out of 5 stars
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    7.6K reviews

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

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    CertNexus

    CyberSec First Responder – Advanced (CFR-A): Address

    Skills you'll gain: Application Security, Incident Response, Intrusion Detection and Prevention, Network Security, Cybersecurity, Cyber Security Strategy, Cyber Attacks, Data Security, Hardening, Distributed Denial-Of-Service (DDoS) Attacks, Vulnerability Management, Vulnerability Assessments, Multi-Factor Authentication, System Configuration, Scripting, Linux Commands, Bash (Scripting Language), Linux, Scripting Languages, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Project Planning and Machine Learning

    Skills you'll gain: Machine Learning Algorithms, Big Data, Product Development, Data Preprocessing, Analytics, File Systems, New Product Development, Data Analysis, Machine Learning, Internet Of Things, Supervised Learning, Product Planning, Unsupervised Learning, Data Storage, Project Planning, Systems Of Measurement, Staff Management

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    132 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Delta PLC Simulation Unlocked

    Skills you'll gain: Visualization (Computer Graphics), Internet Of Things, Real Time Data

    Intermediate · Course · 1 - 3 Months

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    Edureka

    Building Multi-Agent Systems using LangGraph and Autogen

    Skills you'll gain: AI Workflows, AI Orchestration, Agentic Workflows, Model Deployment, AI Security, Decision Making

    Intermediate · Course · 1 - 4 Weeks

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    C

    Coursera

    Hybrid AI Search Workflows

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, AI Workflows, Generative Model Architectures, Software Architecture, Enterprise Architecture, CI/CD, Model Evaluation, Software Development, Unit Testing, Python Programming

    Intermediate · Course · 1 - 4 Weeks

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    M

    Macquarie University

    Analysing: Numeric and digital literacies

    Skills you'll gain: Governance, Management Accounting, Budgeting, Marketing Analytics, Capital Budgeting, Financial Modeling, SAS (Software), Business Analytics, Financial Forecasting, Accounting, Financial Management, Customer Insights, Dashboard, Marketing Effectiveness, Corporate Finance, Digital Marketing, Business Valuation, Data-Driven Decision-Making, Financial Analysis, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

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    Meta

    Fundamentals of Social Media Advertising

    Skills you'll gain: Paid media, Instagram, Social Media, Social Media Campaigns, Advertising, Digital Advertising, Marketing Materials, Social Media Marketing, Facebook, Copywriting, Content Creation, Marketing, Information Privacy, Campaign Management, Target Audience, Brand Management

    4.8
    Rating, 4.8 out of 5 stars
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    2.6K reviews

    Beginner · Course · 1 - 3 Months

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    R

    Red Hat

    Python Programming with Red Hat

    Skills you'll gain: Object Oriented Programming (OOP), JSON, Python Programming, Debugging, Data Structures, Red Hat Enterprise Linux, Computer Programming, Statistical Programming, Web Development, Scripting, Scripting Languages, Development Environment, Text Mining, Software Installation

    Intermediate · Course · 3 - 6 Months

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

  • Hands-on DeepSeek: Coursera
  • AI-Enhanced Prospecting and Sales Techniques: Microsoft
  • Attract and Engage Customers with Digital Marketing: Google
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • CyberSec First Responder – Advanced (CFR-A): Address: CertNexus
  • Project Planning and Machine Learning: University of Colorado Boulder
  • Delta PLC Simulation Unlocked: Packt
  • Building Multi-Agent Systems using LangGraph and Autogen: Edureka
  • Hybrid AI Search Workflows: Coursera
  • Analysing: Numeric and digital literacies: Macquarie University

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