Results for "linear algebra for data science"
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis
Status: Free TrialHoward University
Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Statistical Modeling, Mathematical Software, Supervised Learning, Algebra, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives
What brings you to Coursera today?
Status: PreviewDuke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, Data Analysis, Descriptive Statistics
Status: NewStatus: Free TrialSkills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Import/Export
Status: Free TrialSkills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology
Status: NewStatus: Free TrialSkills you'll gain: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing
Status: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives
Searches related to linear algebra for data science
In summary, here are 10 of our most popular linear algebra for data science courses
- Essential Linear Algebra for Data Science: University of Colorado Boulder
- Linear Algebra for Data Science Using Python: Howard University
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Expressway to Data Science: Essential Math: University of Colorado Boulder
- Data Science Math Skills: Duke University
- Data Processing and Exploration with NumPy & Pandas: Packt
- Tools for Data Science: IBM
- Linear Regression with R: Build & Optimize: EDUCBA
