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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
    New
    P

    Packt

    Data Storytelling for Data Professionals

    Skills you'll gain: Data Storytelling, Data Presentation, Storytelling, Interactive Data Visualization, Data Visualization, Infographics, Dashboard, Data Visualization Software, Presentations, Data-Driven Decision-Making, Persuasive Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    PwC

    Data-driven Decision Making

    Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Business Intelligence, Big Data, Data Visualization, Data Presentation, Statistical Programming, Microsoft Excel, Data Visualization Software, Data Collection, Case Studies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • B

    BITS Pilani

    Bachelor of Science in Computer Science

    Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Theoretical Computer Science, Object Oriented Design, Android Development, Database Design, Encryption, Bioinformatics, Feature Engineering, Algorithms, TCP/IP, Operating Systems, Version Control, Java Programming, Data Structures, Model View Controller

    Earn a degree

    Degree · 1 - 4 Years

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Responsive Web Design, Restful API, Generative AI, Responsible AI, IBM Cloud, Large Language Modeling, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    80K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Cleaning with Python for Finance

    Skills you'll gain: Data Cleansing, Pandas (Python Package), Financial Data, Data Wrangling, Data Transformation, Data Preprocessing, Data Quality, Data Manipulation, Data Validation, Jupyter, Data Integrity, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    The Ultimate Guide to Snowpark

    Skills you'll gain: Snowflake Schema, Model Deployment, Data Pipelines, Pandas (Python Package), Data Import/Export, Data Transformation, Large Language Modeling, Data Processing, Containerization, Python Programming, MLOps (Machine Learning Operations), Application Deployment, Application Development, Data Science, Cloud Computing, SQL, Data Analysis, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Feature Engineering, AI Personalization, Statistical Methods, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    CertNexus

    DSBIZ (Exam DSZ-210)

    Skills you'll gain: Customer experience improvement, Data Strategy, Data Modeling, Marketing Analytics, Customer Insights, Business Analytics, Business Intelligence, Marketing Strategies, Data Science, Operational Efficiency, Marketing, Data Ethics, Analytics, Customer Service, Big Data, Descriptive Analytics, Business Strategy, Data Collection, Predictive Analytics, Governance

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Power BI for Data Science and Analytics

    Skills you'll gain: Interactive Data Visualization, Analytics, Anomaly Detection, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Engineering

    Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Python Programming, Programming Principles, Unit Testing, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
    ·
    823 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Storytelling for Data Professionals: Packt
  • Data-driven Decision Making: PwC
  • Bachelor of Science in Computer Science: BITS Pilani
  • Applied Data Science: Clemson University
  • IBM AI Developer: IBM
  • Data Cleaning with Python for Finance: Coursera
  • The Ultimate Guide to Snowpark: Packt
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • DSBIZ (Exam DSZ-210): CertNexus

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