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    Results for "linear algebra data science"

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Calculus, Applied Mathematics, NumPy, Applied Machine Learning, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      B

      Ball State University

      Introduction to Data Science

      Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Processing, Sampling (Statistics), Data Science, Data Wrangling, R Programming, Simulations, Data Manipulation, Statistical Methods, Machine Learning Algorithms, Data Integrity, Algorithms, Data Structures

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Statistics & Mathematics for Data Science & Data Analytics

      Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Intro to Data Analytics, SQL, and EDA Using Python

      Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Database Management, Data Visualization Software, Matplotlib, Business Analytics, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      361 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Intermediate Data Manipulation and Machine Learning

      Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      C

      Clemson University

      Applied Data Science

      Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Statistical Methods, Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Big Data, Data-Driven Decision-Making, Exploratory Data Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science as a Field

      Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, Applied Mathematics, Statistics, Computer Science

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Science with NumPy, Sets, and Dictionaries

      Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Science, Text Mining, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      SQL for Data Science Capstone Project

      Skills you'll gain: Presentations, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Modeling, Performance Metric, Business Analytics, Text Mining, Data Science, Target Audience, Data Manipulation, Proposal Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      242 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Model Diagnostics and Remedial Measures

      Skills you'll gain: Data Validation, Regression Analysis, Exploratory Data Analysis, Verification And Validation, Plot (Graphics), Mathematical Modeling, Statistical Methods, Statistical Modeling, Data Transformation, Predictive Modeling, Correlation Analysis, Statistical Analysis, R Programming, Statistical Inference, Linear Algebra

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular linear algebra data science courses

    • Matrix Calculus for Data Science & Machine Learning: Packt
    • Introduction to Data Science: Ball State University
    • Statistics & Mathematics for Data Science & Data Analytics: Packt
    • Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
    • Python for Data Analysis: Pandas & NumPy: Coursera Project Network
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Intermediate Data Manipulation and Machine Learning: Packt
    • Applied Data Science: Clemson University
    • Data Science as a Field: University of Colorado Boulder
    • Data Science with NumPy, Sets, and Dictionaries: Duke University

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