This Specialization is for learners interested in exploring or pursuing careers in data science or understanding some data science for their current roles. This course will build upon your previous mathematical foundations and equip you with key applied tools for using and analyzing large data sets.
Linear Algebra for Data Science Using Python Specialization
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Linear Algebra for Data Science Using Python Specialization
Instructors: MOUSSA DOUMBIA
2,465 already enrolled
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Get in-depth knowledge of a subject
(28 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(28 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Use Python to solve vector equations
Apply linear algebra concepts such as the inverse of a matrix, row reduction, and eigenvalues and eigenvectors
Use regression models
Apply linear algebra to analyze data, create, and make predictions based off of a regression model
Overview
Skills you'll gain
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
29 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Howard University
Specialization - 4 course series
What you'll learn
Skills you'll gain
Category: Linear Algebra
Category: NumPy
Category: Python Programming
Category: Matplotlib
Category: Jupyter
Category: Data Analysis
Category: Applied Mathematics
Category: Data Science
Category: Mathematical Modeling
Category: Data Visualization Software
Category: Git (Version Control System)
What you'll learn
Skills you'll gain
Category: Linear Algebra
Category: Python Programming
Category: NumPy
Category: Numerical Analysis
Category: Data Manipulation
Category: Applied Mathematics
Category: Algebra
What you'll learn
Skills you'll gain
Category: Regression Analysis
Category: Predictive Modeling
Category: Linear Algebra
Category: NumPy
Category: Statistical Modeling
Category: Supervised Learning
Category: Scikit Learn (Machine Learning Library)
Category: Machine Learning Methods
Category: Applied Mathematics
Category: Small Data
Category: Statistical Analysis
What you'll learn
Skills you'll gain
Category: Data Wrangling
Category: Data Manipulation
Category: Dimensionality Reduction
Category: Linear Algebra
Category: Data Science
Category: Predictive Modeling
Category: Regression Analysis
Category: Statistical Modeling
Category: Python Programming
Category: Data Analysis
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Frequently asked questions
The Linear Algebra for Data Science Using Python Specialization consists of four four-week courses. The time to completion will vary based on your schedule.
Yes, it is recommended to take each course in the order presented in the Linear Algebra for Data Science Using Python Specialization.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
More questions
Financial aid available,