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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


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    Case Western Reserve University

    Take the Lead on Healthcare Quality Improvement

    Skills you'll gain: Healthcare Project Management, Continuous Quality Improvement (CQI), Clinical Leadership, Value-Based Care, Patient Safety, Care Management, Teamwork, Collaboration, Innovation, Systems Thinking, Leadership

    4.5
    Rating, 4.5 out of 5 stars
    ·
    35 reviews

    Beginner · Course · 1 - 3 Months

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    Status: AI skills
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    DeepLearning.AI

    Fast Prototyping of GenAI Apps with Streamlit

    Skills you'll gain: Application Deployment, Cloud Deployment, Generative AI, Prompt Engineering, Prototyping, Agile Product Development, Retrieval-Augmented Generation, Application Development, Interactive Design, User Interface (UI), Data Integration

    3.9
    Rating, 3.9 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
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    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

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    University of Washington

    Machine Teaching for Autonomous AI

    Skills you'll gain: Data Storytelling, Automation, Decision Support Systems, User Story, AI Product Strategy, Human Machine Interfaces, Artificial Intelligence, Machine Learning, Data-Driven Decision-Making, Innovation

    4.7
    Rating, 4.7 out of 5 stars
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    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Applying Python for Data Analysis

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Probability & Statistics, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Data Processing, Data Cleansing, Data Preprocessing, Time Series Analysis and Forecasting, Data Import/Export, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    Erasmus University Rotterdam

    When Disaster Meets Conflict

    Skills you'll gain: Policy Development, Conflict Management, Ethical Standards And Conduct, Crisis Intervention, Policy Analysis, Emergency Response, Mitigation, International Relations, Case Studies, Risk Analysis, Community Development, Risk Management, Research, Climate Change Adaptation, Socioeconomics

    4.7
    Rating, 4.7 out of 5 stars
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    78 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    A quick tour on Big Data and Business Intelligence

    Skills you'll gain: NoSQL, Apache Hadoop, Apache Hive, Big Data, Database Systems, Artificial Intelligence, Databases, Distributed Computing, Data Processing, Scalability, Business Intelligence, Data Management

    4.1
    Rating, 4.1 out of 5 stars
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    26 reviews

    Beginner · Course · 1 - 4 Weeks

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    The Chinese University of Hong Kong

    Religion and Thought in Modern China: the Song, Jin, and Yuan

    Skills you'll gain: Art History, Ancient History, World History, Cultural Diversity, Anthropology, Sociology, Policy Analysis, Political Sciences, Economics, Governance

    4.5
    Rating, 4.5 out of 5 stars
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    48 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    LearnQuest

    Angular 17 Overview & Basics

    Skills you'll gain: Angular, Web Components, Cascading Style Sheets (CSS), JavaScript Frameworks, Application Frameworks, UI Components, Front-End Web Development, TypeScript, Web Applications, Hypertext Markup Language (HTML), Web Development, Development Environment

    4.3
    Rating, 4.3 out of 5 stars
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    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of Azure Databricks

    Skills you'll gain: Databricks, Apache Spark, Microsoft Azure, Data Integration, PySpark, Data Lakes, Jupyter, File Systems, Data Processing, Big Data, Cloud Storage, Cloud Computing Architecture

    4.2
    Rating, 4.2 out of 5 stars
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    29 reviews

    Beginner · Course · 1 - 3 Months

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

  • Take the Lead on Healthcare Quality Improvement: Case Western Reserve University
  • Fast Prototyping of GenAI Apps with Streamlit: DeepLearning.AI
  • Where, Why, and How of Lambda Functions in Python : Coursera
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Machine Teaching for Autonomous AI: University of Washington
  • Applying Python for Data Analysis: Coursera
  • When Disaster Meets Conflict: Erasmus University Rotterdam
  • A quick tour on Big Data and Business Intelligence: Università di Napoli Federico II
  • Religion and Thought in Modern China: the Song, Jin, and Yuan: The Chinese University of Hong Kong

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