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  • Math For Data Science

Math for Data Science Courses

Math for Data Science courses can help you learn statistical analysis, linear algebra, probability theory, and calculus. You can build skills in data visualization, hypothesis testing, and regression analysis, which are crucial for interpreting data effectively. Many courses introduce tools like Python, R, and SQL, along with libraries such as NumPy and Pandas, to help you apply these mathematical concepts to real datasets and enhance your analytical capabilities.


Popular Math for Data Science Courses and Certifications


  • Status: New
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    Coursera

    Analyze Data: Visualize, Summarize, and R

    Skills you'll gain: Exploratory Data Analysis, Financial Data, Data Analysis, Package and Software Management, R Programming, R (Software), Statistical Analysis, Expense Management, Financial Analysis, Tidyverse (R Package), Data Manipulation, Statistical Visualization, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    LLM Optimization & Evaluation

    Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control

    Intermediate · Specialization · 3 - 6 Months

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    Logical Operations

    Crystal Reports: Report Fundamentals

    Skills you'll gain: Business Reporting, Microsoft Access, Report Writing, Microsoft Excel, Data Presentation, Business Intelligence Software, SAP Applications, Data Analysis Software, Business Intelligence, Data Analysis, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    Universitat Autònoma de Barcelona

    Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point)

    Skills you'll gain: Microsoft PowerPoint, Microsoft Word, Microsoft Excel, Microsoft Office, Spreadsheet Software, digital literacy, Data Entry, Computer Literacy, Information Technology, Document Management, Graphical Tools

    4.8
    Rating, 4.8 out of 5 stars
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    6.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Meta

    React Basics

    Skills you'll gain: Mobile Development, React.js, Web Applications, Event-Driven Programming, Application Development, UI Components, Front-End Web Development, Cascading Style Sheets (CSS), Javascript, Hypertext Markup Language (HTML), Debugging

    4.7
    Rating, 4.7 out of 5 stars
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    2.5K reviews

    Beginner · Course · 1 - 4 Weeks

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    Edureka

    Developing LLM Applications with LangChain

    Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, OpenAI API, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Predictive Modeling, Probability & Statistics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Agentic AI Content for Practitioners (Teams: Data)

    Skills you'll gain: AI Workflows, Agentic systems, AI Orchestration, AI Enablement, Advanced Analytics, Data Processing, Enterprise Architecture, Automation, Data Transformation, Artificial Intelligence, Continuous Improvement Process, Data Quality, Application Deployment, Scalability, Performance Tuning, Business Metrics, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Berklee

    How to Play Guitar

    Skills you'll gain: Music Theory, Music, Music Performance, Instrumental Music, Musical Composition, Performing Arts, Coordination

    4.8
    Rating, 4.8 out of 5 stars
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    2.6K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Analyze Data: Visualize, Summarize, and R: Coursera
  • LLM Optimization & Evaluation: Coursera
  • Crystal Reports: Report Fundamentals: Logical Operations
  • Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point): Universitat Autònoma de Barcelona
  • React Basics: Meta
  • Developing LLM Applications with LangChain: Edureka
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Data Science Foundations: NumPy, Pandas & Visualization: Packt
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Agentic AI Content for Practitioners (Teams: Data): Coursera

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