Mathematical Foundations for Data Science and Analytics
$49
ENROLL NOWCourse Overview
What You'll Learn
- Elevate your data science skills with our "Mathematical Foundations for Data Science and Analytics" specialization.
- Master vector arithmetic, matrix operations, and eigen calculations using Python’s NumPy library.
- Learn to solve linear equations and implement ordinary least squares (OLS) regression to fit models and predict trends.
Elevate your data science skills with our "Mathematical Foundations for Data Science and Analytics" specialization. This comprehensive program includes three courses: Linear Algebra and Regression for Data Science, Statistics and Calculus Methods for Data Analysis, and Probability Theory and Regression for Predictive Analytics. Start with Linear Algebra and Regression for Data Science. Master vector arithmetic, matrix operations, and eigen calculations using Python’s NumPy library. Learn to solve linear equations and implement ordinary least squares (OLS) regression to fit models and predict trends. Progress to Statistics and Calculus Methods for Data Analysis. Calculate expected values and apply the normal distribution to statistical analysis. Perform derivative and integral calculations for optimization and data analysis. Finally, explore Probability Theory and Regression for Predictive Analytics. Learn conditional probability and Bayes' Theorem for inference. Understand probability distributions and apply regression techniques, including logistic and Lasso regression, to analyze data trends. Engage in practical assignments and projects to apply mathematical methods to data problems. Gain hands-on experience with Python, preparing you for advanced data science and analytics.
Course FAQs
Is this an accredited online course?
Accreditation for 'Mathematical Foundations for Data Science and Analytics' is determined by the provider, University of Pittsburgh. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Mathematical Foundations for Data Science and Analytics' on the University of Pittsburgh online class platform, where you can complete your registration.
