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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: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Software Development in R

    Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Data Preprocessing, Technical Documentation, Datamaps, Visualization (Computer Graphics), Unit Testing, Data Cleansing, Interactive Data Visualization, Object Oriented Programming (OOP), Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
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    U

    University of Leeds

    Data Science: Data Storytelling and Presentation Skills

    Skills you'll gain: Data Presentation, Data Storytelling, Technical Communication, Technical Writing, Data Literacy, Communication, Writing, Generative AI, Responsible AI

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    Eindhoven University of Technology

    Process Mining: Data science in Action

    Skills you'll gain: Business Process, Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Data Processing, Operational Analysis, Performance Analysis, Real Time Data, Data Science, Predictive Modeling, Verification And Validation, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    P

    Pontificia Universidad Católica de Chile

    English for Common Interactions in the Workplace: Basic Level

    Skills you'll gain: Oral Comprehension, Telephone Skills, English Language, Bilingual (Spanish/English), Vocabulary, Oral Expression, Verbal Communication Skills, Business Communication, Grammar, Language Learning, Writing

    4.7
    Rating, 4.7 out of 5 stars
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    4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Functions, Files, and Dictionaries

    Skills you'll gain: File I/O, Data Import/Export, Python Programming, Functional Design, Programming Principles, Data Structures, Debugging

    4.8
    Rating, 4.8 out of 5 stars
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    5.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Cloud Computing

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Cloud Storage, Infrastructure As A Service (IaaS), Emerging Technologies, Hybrid Cloud Computing, Virtual Machines, Serverless Computing, Microservices, DevOps

    4.6
    Rating, 4.6 out of 5 stars
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    7.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Excel for Beginners: Introduction to Spreadsheets

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

    4.7
    Rating, 4.7 out of 5 stars
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    210 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Real-Time, Real Fast: Kafka & Spark for Data Engineers

    Skills you'll gain: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, Power BI, PySpark, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Scalability, Data Processing, Data Governance, Event-Driven Programming, System Monitoring, Docker (Software)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data Integration and Processing

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL

    4.4
    Rating, 4.4 out of 5 stars
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    2.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Virginia

    Marketing Analytics

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing Strategies, Regression Analysis, Marketing Budgets, Data-Driven Decision-Making, Strategic Marketing, Brand Management, Resource Allocation, Customer Analysis, Customer Insights, Predictive Analytics, Statistical Analysis, A/B Testing, Consumer Behaviour, Return On Investment

    4.7
    Rating, 4.7 out of 5 stars
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    6.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Amsterdam

    Data Analytics for Lean Six Sigma

    Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Data Analysis, Histogram, Statistical Analysis, Box Plots, Process Improvement, Logistic Regression, Statistics, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 3 Months

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

  • Mastering Software Development in R: Johns Hopkins University
  • Data Science: Data Storytelling and Presentation Skills: University of Leeds
  • Process Mining: Data science in Action: Eindhoven University of Technology
  • English for Common Interactions in the Workplace: Basic Level: Pontificia Universidad Católica de Chile
  • Python Functions, Files, and Dictionaries: University of Michigan
  • Introduction to Cloud Computing: IBM
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Excel for Beginners: Introduction to Spreadsheets: Coursera
  • Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
  • Big Data Integration and Processing: University of California San Diego

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